| La vitrine de diffusion des publications et contributions des chercheurs de l'ÉTS |
| ENGLISH |
Le groupe de recherche est "LIVIA - Laboratoire d'imagerie, de vision et d'intelligence artificielle"Nombre de documents archivés : 1419.
Cheriet, M. et Srihari, S. N., éds.
2002.
« Eighth International Workshop on Frontiers in Handwriting Recognition : proceedings : 6-8 August, 2002, Ontario, Canada ».
Los Alamitos, Calif. : IEEE Computer Society. 530 p.
Cardoso, Jorge et Arbel, Tal et Lee, Su-Lin et Cheplygina, Veronika et Balocco, Simone et Mateus, Diana et Zahnd, Guillaume et Maeir-Hein, Lena et Demirci, Stefanie et Granger, Éric et Duong, Luc et Carbonneau, Marc-André et Albarqouni, Shadi et Carneiro, Gustavo%I Springer, éds.
2017.
« Intravascular imaging and computer assisted stenting, and large-scale annotation of biomedical data and expert label synthesis : 6th Joint International Workshops, CVII-STENT 2017 and Second International Workshop, LABELS 2017, Held in Conjunction with MICCAI 2017, Québec City, QC, Canada, September 10–14, 2017 : Proceedings ».
Coll. « Lecture Notes in Computer Science », vol. 10552.
. 166 p.
Dudek, Gregory et Cheriet, Mohamed, éds.
2000.
« Vision Interface '2000 : Actes / Proceedings ».
Association Canadienne de Traitement d'images reconnaissance de formes. 403 p.
Cheriet, Mohamed et Yang, Herbert, éds.
1998.
« Vision Interface '98 : proceedings, Vancouver, B.C., 18-20 June, 1998 ».
Montréal : Canadian Image Processing and Pattern Recognition Society. 491 p.
Cheriet, M. et Yang, Y. H., éds.
1999.
« Vision Interface : Real world applications of computer vision ».
Coll. « Series in Machine Perception and Artificial Intelligence », vol. 35.
World Scientific.
A., de S. Britto Jr., Sabourin, R., Lethelier, E., Bortolozzi, F. et Suen, C. Y..
1999.
« Slant normalization of handwritten numeral strings ».
In International Seminar on knowledge/Document Management (ISKM/DM '99) (Curitiba, Brasil, Dec. 6-9, 1999)
Abdoli, Sajjad, Cardinal, Patrick et Lameiras Koerich, Alessandro.
2019.
« End-to-end environmental sound classification using a 1D convolutional neural network ».
Expert Systems with Applications, vol. 136.
pp. 252-263.
Abolarin, David, Forouzanfar, Mohamad, Groza, Voicu Z., Rajan, Sreeraman, Dajani, Hilmi R. et Petriu, Emil M..
2016.
« Model-based filtering and compression of oscillometric blood pressure pulses ».
In IEEE International Symposium on Medical Measurements and Applications (MeMeA) (Benevento, Italy, May 15-18, 2016)
IEEE.
Abou-Moustafa, K. T., Cheriet, Mohamed et Suen, C. Y..
2004.
« On the structure of hidden Markov models ».
Pattern Recognition Letters, vol. 25, nº 8.
pp. 923-931.
Abou-Moustafa, K. T., Cheriet, Mohamed et Suen, Ching Y..
2004.
« Classification of Time-Series data using a generative/discriminative hybrid ».
In Ninth International Workshop on Frontiers in Handwriting Recognition (IWFHR) (Tokyo, Japan, Oct. 26-29, 2004)
pp. 51-56.
Los Alamitos, CA, USA : Institute of Electrical and Electronics Engineers Computer Society.
Abou-Moustafa, K. T., Suen, Ching Y. et Cheriet, Mohamed.
2004.
« A generative-discriminative hybrid for sequential data classification [image classification example] ».
In IEEE International Conference on Acoustics, Speech and Signal Processing (Montreal, Canada, May 17-21, 2004)
pp. 805-808.
Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers.
Abuelwafa, Sherif, Pedersoli, Marco et Cheriet, Mohamed.
2019.
« Unsupervised exemplar-based learning for improved document image classification ».
IEEE Access, vol. 7.
pp. 133738-133748.
Adankon, M.M. et Cheriet, Mohamed.
2006.
« New formulation of SVM for model selection ».
In International Joint Conference on Neural Networks (IJCNN) (Vancouver, Canada, Jul. 16-21, 2006)
pp. 1900-1907.
Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers.
Adankon, Mathias M. et Cheriet, Mohamed.
2008.
« Help-training for semi-supervised discriminative classifiers. Application to SVM ».
In 19th International Conference on Pattern Recognition (ICPR) (Tampa, FL, USA, Dec. 8-11, 2008)
Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers.
Adankon, Mathias M. et Cheriet, Mohamed.
2007.
« Learning semi-supervised SVM with genetic algorithm ».
In International Joint Conference on Neural Networks (IJCNN) (Orlando, FL, USA, Aug. 12-17, 2007)
pp. 1825-1830.
Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers.
Adankon, Mathias M. et Cheriet, Mohamed.
2008.
« Model selection for LS-SVM : application to handwriting recognition ».
In 11th International Conference on Frontiers in Handwriting Recognition (ICFHR) (Montreal, QC, Canada, Aug. 19-21, 2008)
Adankon, Mathias M. et Cheriet, Mohamed.
2007.
« Optimizing resources in model selection for support vector machine ».
Pattern Recognition, vol. 40, nº 3.
pp. 953-963.
Adankon, Mathias M., Cheriet, Mohamed et Ayat, N.E..
2005.
« Optimizing resources in model selection for support vector machines ».
In IEEE International Joint Conference on Neural Networks (IJCNN) (Montreal, Canada, Jul. 31-Aug. 4, 2005)
pp. 925-930.
Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers.
Adankon, Mathias, Cheriet, Mohamed et Ayat, Nedjem Eddine.
2005.
« Optimisation de ressources dans la sélection de modèle des machines à vecteurs de support ».
In Comptes rendues des 12-èmes rencontres de la Société Francophone de la Classification (Montréal, QC, Canada, 30 mai-1 juin 2005)
pp. 35-38.
Université du Québec à Montréal.
Adiga V, Sukesh, Dolz, Jose et Lombaert, Herve.
2024.
« Anatomically-aware uncertainty for semi-supervised image segmentation ».
Medical Image Analysis, vol. 91.
Adiga V, Sukesh, Dolz, Jose et Lombaert, Herve.
2022.
« Attention-based dynamic subspace learners for medical image analysis ».
IEEE Journal of Biomedical and Health Informatics, vol. 26, nº 9.
pp. 4599-4610.
Adiga Vasudeva, Sukesh, Dolz, Jose et Lombaert, Herve.
2023.
« GeoLS: Geodesic label smoothing for image segmentation ».
In International Confefence on Medical Imaging with Deep Learning (MIDL) (Nashville, TN, USA, July 10-12, 2023)
Coll. « Proceedings of Machine Learning Research », vol. 227.
pp. 468-478.
ML Research Press.
Adiga Vasudeva, Sukesh, Dolz, Jose et Lombaert, Herve.
2022.
« Leveraging labeling representations in uncertainty-based semi-supervised segmentation ».
In Medical Image Computing and Computer Assisted Intervention – MICCAI 2022 25th International Conference ; Proceedings, Part VIII (Singapore, Singapore, Sept. 18-22, 2022)
Coll. « Lecture Notes in Computer Science », vol. 13438.
pp. 265-275.
Springer Science and Business Media Deutschland GmbH.
Afshin, Mariam, Ben Ayed, Ismail, Islam, Ali, Goela, Aashish, Peters, Terry M. et Li, Shuo.
2012.
« Global assessment of cardiac function using image statistics in MRI ».
In Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012. Proceedings 15th International Conference, Nice, France, October 1-5, 2012, Proceedings, Part II (Berlin, Germany, Oct. 1-5, 2012)
Coll. « Lecture Notes in Computer Science », vol. 7511.
pp. 535-543.
Springer Verlag.
Afshin, Mariam, Ben Ayed, Ismail, Punithakumar, Kumaradevan, Law, Max W. K., Islam, Ali, Goela, Aashish, Ross, Ian, Peters, Terry et Li, Shuo.
2011.
« Assessment of regional myocardial function via statistical features in MR images ».
In Medical Image Computing and Computer-Assisted Intervention – MICCAI 2011. 14th International Conference, Toronto, Canada, September 18-22, 2011, Proceedings, Part III (Toronto, ON, Canada, Sept. 18-22, 2011)
Coll. « Lecture Notes in Computer Science », vol. 6893.
pp. 107-114.
Springer Verlag.
Afshin, Mariam, Ben Ayed, Ismail, Punithakumar, Kumaradevan, Law, Max, Islam, Ali, Goela, Aashish, Peters, Terry et Li, Shuo.
29 août 2017.
« Automating Cardiac Disease Detection ».
[Article de recherche]. Substance ÉTS.
Afshin, Mariam, Ben Ayed, Ismail, Punithakumar, Kumaradevan, Law, Max, Islam, Ali, Goela, Aashish, Peters, Terry et Li, Shuo.
29 août 2017.
« Automatiser le dépistage des maladies cardiaques ».
[Article de recherche]. Substance ÉTS.
Afshin, Mariam, Ben Ayed, Ismail, Punithakumar, Kumaradevan, Law, Max, Islam, Ali, Goela, Aashish, Peters, Terry et Li, Shuo.
2014.
« Regional assessment of cardiac left ventricular myocardial function via MRI statistical features ».
IEEE Transactions on Medical Imaging, vol. 33, nº 2.
pp. 481-494.
Agarwal, Pranav, Andrews, Sheldon et Kahou, Samira Ebrahimi.
2024.
« Learning to play Atari in a world of tokens ».
In International Conference on Machine Learning (Vienna, Austria, July 21-27, 2024)
Coll. « Proceedings of Machine Learning Research », vol. 235.
pp. 313-328.
ML Research Press.
Aires, Simone B. K., Freitas, Cinthia O. A., Bortolozzi, Flávio et Sabourin, Robert.
2005.
« Perceptual zoning for handwritten character recognition ».
In 12th Conference of the International Graphonomics Society (IGS) (Salerno, Italy, June 26-29, 2005)
pp. 178-182.
USA : International Graphonomics Society.
Albuquerque, Régis Antônio S., Josua Costa, Albert F., Miranda dos Santos, Eulanda, Sabourin, Robert et Giusti, Rafael.
2019.
« A decision-based dynamic ensemble selection method for concept drift ».
In IEEE 31st International Conference on Tools with Artificial Intelligence (ICTAI) (Portland, OR, USA, Nov. 04-06, 2019)
pp. 1132-1139.
IEEE Computer Society.
Ali, Ahmed, Dehak, Najim, Cardinal, Patrick, Khurana, Sameer, Yella, Sree Harsha, Glass, James, Bell, Peter et Renals, Steve.
2016.
« Automatic dialect detection in Arabic broadcast speech ».
In 17th Annual Conference of the International Speech Communication Association, (INTERSPEECH) (San Francisco, CA, USA, Sept. 08-16, 2016)
pp. 2934-2938.
Baixas, France : International Speech and Communication Association.
Ali, Ahmed, Zhang, Yifan, Cardinal, Patrick, Dehak, Najim, Vogel, Stephan et Glass, James.
2014.
« A complete KALDI recipe for building Arabic speech recognition systems ».
In 2014 IEEE Spoken Language Technology Workshop (STL) (South Lake Tahoe, NV, USA, Dec. 7-10, 2014)
pp. 525-529.
IEEE.
Alidadi, Mahsa, Mohebbi, Maryam et Forouzanfar, Mohamad.
2024.
« Blood pressure estimation based on the timing of the arterial reflected waves by oscillometric pulse wave decomposition ».
IEEE Journal of Biomedical and Health Informatics.
Allamy, Safaa et Koerich, Alessandro Lameiras.
2021.
« 1D CNN architectures for music genre classification ».
In IEEE Symposium Series on Computational Intelligence (SSCI) (Orlando, FL, USA, Dec. 05-07, 2021)
Institute of Electrical and Electronics Engineers Inc..
Almeida, Paulo R. L., Oliveira, Luiz S., Britto, Alceu S. et Sabourin, Robert.
2018.
« Adapting dynamic classifier selection for concept drift ».
Expert Systems with Applications, vol. 104.
pp. 67-85.
Al-Ohali, Yousef, Cheriet, Mohamed et Suen, Ching.
2003.
« Databases for recognition of handwritten Arabic cheques ».
Pattern Recognition, vol. 36, nº 1.
pp. 111-121.
Al-Ohali, Yousef, Cheriet, Mohamed et Suen, Ching.
2000.
« Databases for recognition of handwritten Arabic cheques ».
In 7th International Workshop on Frontiers in Handwriting Recognition : September 11-13, 2000, Amsterdam, the Netherlands : proceedings (Amsterdam, Netherlands, Sept. 11-13, 2000)
pp. 601-606.
Nijmefen : International Unipen Foundation.
Al-Ohali, Yousef, Cheriet, Mohamed et Suen, Ching Y..
2002.
« Dynamic observations and dynamic state termination for off-line handwritten word recognition using HMM ».
In 8th International Workshop on Frontiers in Handwriting Recognition (Niagara on the Lake, ON, Canada, Aug. 6-8, 2002)
pp. 314-319.
Los Alamitos, CA, USA : Institute of Electrical and Electronics Engineers Computer Society.
Al-Ohali, Yousef, Cheriet, Mohamed et Suen, Ching Y..
2002.
« Efficient estimation of pen trajectory from off-line handwritten words ».
In 16th International Conference on Pattern Recognition (ICPR) (Quebec City, Canada, Aug. 11-15, 2002)
pp. 323-326.
Los Alamitos, CA, USA : Institute of Electrical and Electronics Engineers Computer Society.
Al-Ohali, Yousef, Cheriet, Mohamed et Suen, Ching Y..
2002.
« Introducing termination probabilities to HMM ».
In 16th International Conference on Pattern Recognition (ICPR) (Quebec City, Canada, Aug. 11-15, 2002)
pp. 319-322.
Los Alamitos, CA, USA : Institute of Electrical and Electronics Engineers Computer Society.
Amara, I., Granger, Eric et Hadid, A..
2015.
« On the effects of illumination normalization with LBP-based watchlist screening ».
In Computer Vision - ECCV 2014 Workshops. Proceedings: LNCS 8926 (Zurich, Switzerland, Sept. 6-12, 2014)
pp. 173-188.
Cham, Switzerland : Springer International Publishing.
Amara, Ibtihel, Granger, Eric et Hadid, Abdenour.
2018.
« Contextual weighting of patches for local matching in still-to-video face recognition ».
In 13th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2018) (Xi'an, China, May 15-19, 2018)
pp. 756-763.
Los Alamitos, CA, USA : IEEE Computer Society.
Ameur, A., Romeo-Pakker, K., Miled, H. et Cheriet, M..
1994.
« Approche globale pour la reconnaissance des mots manuscrits arabes ».
In CNED 94 : 3ème Colloque national sur l'écrit et le document, Rouen, 6-7-8 juillet 1994 (Rouen, France, 6-8 juillet 1994)
pp. 151-157.
Mont-Saint-Aignan, France : IUT de Rouen.
Aminbeidokhti, Masih, Pedersoli, Marco, Cardinal, Patrick et Granger, Eric.
2019.
« Emotion recognition with spatial attention and temporal softmax pooling ».
In Image Analysis and Recognition : 16th International Conference, ICIAR : Proceedings (Waterloo, ON, Canada, Aug. 27-29, 2019)
Coll. « Lecture Notes in Computer Science », vol. 11662.
pp. 323-331.
Cham, Switzerland : Springer International Publishing.
Amiri-Ramsheh, Behnam, Nait Amar, Menad, Shateri, MohammadHadi et Hemmati-Sarapardeh, Abdolhossein.
2023.
« On the evaluation of the carbon dioxide solubility in polymers using gene expression programming ».
Scientific Reports, vol. 13, nº 1.
Anctil-Robitaille, Benoit, Desrosiers, Christian et Lombaert, Herve.
2021.
« Manifold-aware CycleGAN for high-resolution structural-to-DTI synthesis ».
In Computational Diffusion MRI : International MICCAI Workshop 2020 (Lima, Peru - En ligne, Oct. 08, 2020)
Coll. « Mathematics and Visualization »
pp. 213-224.
Springer Science and Business Media.
Andre, Theo, Communier, David, Flores, Manuel, Botez, Ruxandra, Carranza Moyao, Oscar, Wong, Tony et Gauthier, Guy.
7 novembre 2017.
« Measuring Impact of an Aileron on Aerodynamic Behaviour in a Wind Tunnel ».
[Article de recherche]. Substance ÉTS.
Andre, Theo, Communier, David, Flores, Manuel, Botez, Ruxandra, Carranza Moyao, Oscar, Wong, Tony et Gauthier, Guy.
7 novembre 2017.
« Mesure de l’influence d’un aileron sur le comportement aérodynamique en soufflerie ».
[Article de recherche]. Substance ÉTS.
Aouina, N., Ben Braiek, Ezzedine et Cheriet, Mohamed.
2004.
« Reconnaissance des caractères manuscrits basée sur SKCS-Polyline et modèle de Markov caché ».
In Conférence Tunisienne de Génie Electrique Conférence (CTGE) (Tunis, Tunisie, 19-21 fév. 2004)
pp. 396-400.
Araújo, Voncarlos M., Britto, Alceu S. Jr., Brun, André L., Oliveira, Luiz E. S. et Koerich, Alessandro L..
2018.
« Fine-grained hierarchical classification of plant leaf images using fusion of deep models ».
In IEEE 30th International Conference on Tools with Artificial Intelligence (ICTAI) (Volos, Greece, Nov. 5-7, 2018)
pp. 1-5.
IEEE Computer Society.
Araujo, Voncarlos M., Britto, Alceu S., Oliveira, Luiz S. et Koerich, Alessandro L..
2022.
« Two-view fine-grained classification of plant species ».
Neurocomputing, vol. 467.
pp. 427-441.
Araújo, Voncarlos, Britto, Alceu S., Brun, André L., Koerich, Alessandro L. et Palate, Rosane.
2017.
« Multiple classifier system for plant leaf recognition ».
In 2017 IEEE International Conference on Systems, Man, and Cybernetics (SMC) (Banff, AB, Canada, Oct. 05-08, 2017)
pp. 1880-1885.
IEEE.
Asl, MirHamed, Shateri, MohammadHadi et Labeau, Fabrice.
2023.
« α-mutual information: a tunable privacy measure for privacy protection in data sharing ».
In International Conference on Machine Learning and Applications (ICMLA) (Jacksonville, FL, USA, Dec. 15-17, 2023)
pp. 1206-1211.
IEEE.
Aslam, Muhammad Haseeb, Osama Zeeshan, Muhammad, Pedersoli, Marco, Koerich, Alessandro L., Bacon, Simon et Granger, Eric.
2023.
« Privileged knowledge distillation for dimensional emotion recognition in the wild ».
In IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (Vancouver, BC, Canada, June 17-24, 2023)
pp. 3338-3347.
IEEE Computer Society.
Aslam, Muhammad Haseeb, Zeeshan, Muhammad Osama, Belharbi, Soufiane, Pedersoli, Marco, Koerich, Alessandro Lameiras, Bacon, Simon et Granger, Eric.
2024.
« Distilling privileged multimodal information for expression recognition using optimal transport ».
In IEEE 18th International Conference on Automatic Face and Gesture Recognition (FG) (Istanbul, Turkey, May 27-31, 2024)
Institute of Electrical and Electonics Engineers.
Asnaashari, Saleh, Shateri, MohammadHadi, Hemmati-Sarapardeh, Abdolhossein et Band, Shahab S..
2023.
« Modeling of the sintered density in Cu-Al alloy using machine learning approaches ».
ACS Omega, vol. 8, nº 31.
pp. 28036-28051.
Assumpcao Silva, Ronan, Britto, Alceu S., Enembreck, Fabricio, Sabourin, Robert et Oliveira, Luiz S..
2020.
« Selecting and combining classifiers based on centrality measures ».
International Journal on Artificial Intelligence Tools, vol. 29, nº 3-4.
Ataky, Steve Tsham Mpinda et Lameiras Koerich, Alessandro.
2022.
« A novel bio-inspired texture descriptor based on biodiversity and taxonomic measures ».
Pattern Recognition, vol. 123.
Ataky, Steve Tsham Mpinda et Lameiras Koerich, Alessandro.
2023.
« E-BiT: Extended bio-inspired texture descriptor for 2D texture analysis and characterization ».
Electronics, vol. 12, nº 9.
Ataky, Steve Tsham Mpinda et Lameiras Koerich, Alessandro.
2023.
« Multiresolution texture analysis of histopathologic images using ecological diversity measures[Formula presented] ».
Expert Systems with Applications, vol. 224.
Ataky, Steve Tsham Mpinda, Saqui, Diego, de Matos, Jonathan, de Souza Britto Junior, Alceu et Lameiras Koerich, Alessandro.
2023.
« Multiscale analysis for improving texture classification ».
Applied Sciences, vol. 13, nº 3.
Avelino, Juscimara G., Cavalcanti, George D. C. et Cruz, Rafael M. O..
2024.
« Resampling strategies for imbalanced regression: a survey and empirical analysis ».
Artificial Intelligence Review, vol. 57, nº 4.
Ayat, N. E., Cheriet, Mohamed, Remaki, Lakhdar et Suen, Ching Y..
2001.
« KMOD - a new support vector machine kernel with moderate decreasing for pattern recognition. Application to digit image recognition ».
In Sixth International Conference on Document Analysis and Recognition (Seattle, WA, USA, Sept. 10-13, 2001)
pp. 1215-1219.
Los Alamitos, CA, USA : Institute of Electrical and Electronics Engineers Computer Society.
Ayat, N. E., Cheriet, Mohamed et Suen, Ching.
2000.
« Un système neuro-flou pour la reconnaissance de montants numériques de chèques arabes ».
In CIFED'2000. Colloque International Francophone sur l’Écrit et le Document (Lyon, France, 3-5 juil. 2000)
pp. 171-180.
Lausanne, Suisse : Presses polytechniques et universitaires romandes.
Ayat, N. E., Cheriet, Mohamed et Suen, Ching Y..
2002.
« Empirical error based optimization of SVM kernels : application to digit image recognition ».
In 8th International Workshop on Frontiers in Handwriting Recognition (IWFHR) (Niagara on the Lake, Canada, Aug. 6-8, 2002)
pp. 292-297.
Los Alamitos, CA, USA : Institute of Electrical and Electronics Engineers Computer Society.
Ayat, N.E., Cheriet, Mohamed et Suen, C.Y..
2005.
« Automatic model selection for the optimization of SVM kernels ».
Pattern Recognition, vol. 38, nº 10.
pp. 1733-1746.
Ayat, Nedjem Eddine, Cheriet, Mohamed et Suen, Ching Y..
2002.
« KMOD - A two-parameter SVM kernel for pattern recognition ».
In 16th International Conference on Pattern Recognition (ICPR) (Quebec City, Canada, Aug. 11-15, 2002)
pp. 331-334.
Los Alamitos, CA, USA : Institute of Electrical and Electronics Engineers Computer Society.
Ayat, Nedjem Eddine, Cheriet, Mohamed et Suen, Ching Y..
2002.
« Optimization of the SVM kernels using an empirical error minimization scheme ».
In Pattern Recogniton with Support Vector Machines : First International Workshop, SVM 2002 Niagara Falls, Canada, August 10, 2002 Proceedings (Niagara Falls, Canada, Aug. 10, 2002)
Coll. « Lecture Notes in Computer Science », vol. 2388.
pp. 354-369.
Berlin, Germany : Springer-Verlag.
Ayral, Theo, Pedersoli, Marco, Bacon, Simon et Granger, Eric.
2021.
« Temporal stochastic softmax for 3D CNNs : An application in facial expression recognition ».
In IEEE Winter Conference on Applications of Computer Vision (WACV) (En ligne, Jan. 05-09, 2021)
pp. 3028-3037.
Institute of Electrical and Electronics Engineers.
Azad, Reza, Fayjie, Abdur R., Kauffmann, Claude, Ben Ayed, Ismail, Pedersoli, Marco et Dolz, Jose.
2021.
« On the texture bias for few-shot CNN segmentation ».
In IEEE Winter Conference on Applications of Computer Vision (WACV) (En ligne, Jan. 05-09, 2021)
pp. 2673-2682.
Institute of Electrical and Electronics Engineers.
Bahmaninia, Hamid, Shateri, MohammadHadi, Atashrouz, Saeid, Jabbour, Karam, Hemmati-Sarapardeh, Abdolhossein et Mohaddespour, Ahmad.
2023.
« Predicting the equilibrium solubility of CO2 in alcohols, ketones, and glycol ethers: Application of ensemble learning and deep learning approaches ».
Fluid Phase Equilibria, vol. 567.
Bahrami, Mahsa et Forouzanfar, Mohamad.
2022.
« Deep learning forecasts the occurrence of sleep apnea from single-lead ECG ».
Cardiovascular Engineering and Technology, vol. 13, nº 6.
pp. 809-815.
Bahrami, Mahsa et Forouzanfar, Mohamad.
2021.
« Detection of sleep apnea from single-lead ECG : Comparison of deep learning algorithms ».
In IEEE International Symposium on Medical Measurements and Applications (MeMeA) (Lausanne, Switzerland - En ligne, June 23-25, 2021)
Institute of Electrical and Electonics Engineers.
Bahrami, Mahsa et Forouzanfar, Mohamad.
2022.
« Sleep apnea detection from single-lead ECG: A comprehensive analysis of machine learning and deep learning algorithms ».
IEEE Transactions on Instrumentation and Measurement, vol. 71.
Baker, Fiona C., Forouzanfar, Mohamad, Goldstone, Aimée M., Claudatos, Stephanie A, Javitz, Harold, Trinder, John et Zambotti, Massimiliano de.
2019.
« 0684 Impact of hot flash-associated sleep disruption on the cardiovascular system in perimenopausal women ».
[Résumé d'une communication à une conférence]. Sleep, vol. 42, nº Suppl. 1.
A274.
Baker, Fiona C., Forouzanfar, Mohamad, Goldstone, Aimée, Claudatos, Stephanie A., Javitz, Harold, Trinder, John et de Zambotti, Massimiliano.
2019.
« Changes in heart rate and blood pressure during nocturnal hot flashes associated with and without awakenings ».
Sleep, vol. 42, nº 11.
Baktash, Seddigheh, Forouzanfar, Mohamad, Batkin, Izmail, Bolic, Miodrag, Groza, Voicu Z., Ahmad, Saif et Dajani, Hilmi R..
2017.
« Characteristic ratio-independent arterial stiffness-based blood pressure estimation ».
IEEE Journal of Biomedical and Health Informatics, vol. 21, nº 5.
pp. 1263-1270.
Balasingam, B., Forouzanfar, M., Bolic, M., Dajani, H., Groza, V. et Rajan, S..
2011.
« Arterial blood pressure parameter estimation and tracking using particle filters ».
In IEEE International Symposium on Medical Measurements and Applications (Bari, Italy, May 30-31, 2011)
pp. 473-476.
IEEE.
Bandyk, Mark G., Gopireddy, Dheeraj R., Lall, Chandana, Balaji, K. C. et Dolz, Jose.
2021.
« MRI and CT bladder segmentation from classical to deep learning based approaches: Current limitations and lessons ».
Computers in Biology and Medicine, vol. 134.
Barboza, Eduardo V. L., De Almeida, Paulo R. L., De Souza Britto, Alceu et Cruz, Rafael M. O..
2023.
« Distance functions and normalization under stream scenarios ».
In International Joint Conference on Neural Networks (Gold Coast, Australia, June 18-23, 2023)
Institute of Electrical and Electronics Engineers.
Barghaei, A. R., Forouzanfar, Mohamad et Abrishami Moghaddam, Hamid.
2009.
« شخیص بیماری دیابت با استفاده از کرنل وابسته به داده ».
In 16th Iranian Conference Biomedical Engineering (ICBME) (Mashhad, Iran, Dec. 29-30, 2009)
CIVILICA.
Baril, Guillaume, Cardinal, Patrick et Koerich, Alessandro Lameiras.
2022.
« Named entity recognition for audio de-identification ».
In International Joint Conference on Neural Networks (IJCNN) (Padua, Italy, July 18-23, 2022)
Institute of Electrical and Electronics Engineers Inc..
Barkallah, Eya, Freulard, Johan, Otis, Martin J. D., Ngomo, Suzy, Ayena, Johannes C. et Desrosiers, Christian.
2017.
« Wearable devices for classification of inadequate posture at work using neural networks ».
Sensors, vol. 17, nº 9.
Barrette, M., Wong, Tony, De Kelper, Bruno et Côté, P..
2008.
« Statistical multi-comparison of evolutionary algorithms ».
In 3rd International Conference on Bioinspired Optimization Methods and their Applications (BIOMA) (Ljubljana, Slovenia, Oct. 13-14, 2008)
pp. 71-80.
Ljubljana, Slovenia : Jozef Stefan Institute.
Barrette, Mathieu, De Kelper, Bruno et Wong, Tony.
2007.
« Statistical comparison of evolutionary algorithms ».
In Smart systems engineering : computational intelligence in architecting complex engineering systems : proceedings of the Artificial Neural Networks in Engineering (ANNIE ...) Conference (St-Louis, MO, USA, Nov. 11-14, 2007)
Coll. « ASME Press Series on Intelligent Engineering Systems Through Artificial Neural Networks », vol. 17.
pp. 237-245.
ASME Press.
Barrette, Mathieu, Wong, Tony et De Kelper, Bruno.
2007.
« Evolutionary algorithms performance evaluation using rank-based multiple comparison procedure ».
In WMSCI 2007 - The 11th World Multi-Conference on Systemics, Cybernetics and Informatics, Jointly with the 13th International Conference on Information Systems Analysis and Synthesis, ISAS 2007 - Proc. (Orlando, FL, USA, July 8-11, 2007)
pp. 35-40.
Paris, France : International Social Science Council.
Barry, M. et Granger, Éric.
2007.
« Comparison of ARTMAP neural networks for classification for face recognition from video ».
In Image Analysis and Recognition : 4th International Conference, ICIAR 2007, Montreal, Canada, August 22-24, 2007. Proceedings (Montreal, Canada, Aug. 22-24, 2007)
Coll. « Lecture Notes in Computer Science », vol. 4633.
pp. 794-805.
Heidelberg, Germany : Springer Verlag.
Barry-Camerra, M. et Granger, Éric.
2007.
« Face recognition in video using a what-and-where fusion neural network ».
In International Joint Conference on Neural Networks (IJCNN) (Orlando, FL, USA, Aug. 12-17, 2007)
pp. 2255-2260.
Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers.
Bashbaghi, Saman, Granger, Eric, Sabourin, Robert et Bilodeau, Guillaume-Alexandre.
2017.
« Dynamic ensembles of exemplar-SVMs for still-to-video face recognition ».
Pattern Recognition, vol. 69.
pp. 61-81.
Bashbaghi, Saman, Granger, Eric, Sabourin, Robert et Bilodeau, Guillaume-Alexandre.
2017.
« Dynamic selection of exemplar-SVMs forwatch-list screening through domain adaptation ».
In 6th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2017) (Porto, Portugal, Feb. 24-26, 2017)
pp. 738-745.
SciTePress.
Bashbaghi, Saman, Granger, Éric, Sabourin, Robert et Bilodeau, Guillaume-Alexandre.
2015.
« Ensembles of exemplar-SVMs for video face recognition from a single sample per person ».
In 2015 12th IEEE International Conference on Advanced Video and Signal based Surveillance (AVSS) (Karlsruhe, Germany, Aug. 25-28 2015)
IEEE.
Bashbaghi, Saman, Granger, Eric, Sabourin, Robert et Bilodeau, Guillaume-Alexandre.
2017.
« Robust watch-list screening using dynamic ensembles of SVMs based on multiple face representations ».
Machine Vision and Applications, vol. 28, nº 1/2.
pp. 219-241.
Bashbaghi, Saman, Granger, Eric, Sabourin, Robert et Bilodeau, Guillaume-Alexandre.
2014.
« Watch-list screening using ensembles based on multiple face representations ».
In Proceedings - International Conference on Pattern Recognition (Stockholm, Sweden, Aug. 24-28, 2014)
pp. 4489-4494.
IEEE.
Bashbaghi, Saman, Granger, Eric, Sabourin, Robert et Parchami, Mostafa.
2019.
« Deep learning architectures for face recognition in video surveillance ».
In
Deep learning in object detection and recognition.
pp. 133-154. Singapour : Springer.
Bashir, M., Zonzini, N., Martel, S. L., Botez, R. M., Ceruti, A. et Wong, T..
2024.
« Numerical investigation of the dynamic stall reduction on the UAS-S45 aerofoil using the optimised aerofoil method ».
Aeronautical Journal, vol. 128, nº 1321.
pp. 441-468.
Bashir, Musavir, Botez, Ruxandra M. et Wong, Tony.
2024.
« Design & optimization of Droop Nose Leading Edge (DNLE) morphing wing skin for the UAS-S45 ».
In AIAA SciTech Forum and Exposition (Orlando, FL, USA, Jan. 08-12, 2024)
Coll. « AIAA Paper », vol. AIAA 2024-2150.
American Institute of Aeronautics and Astronautics Inc, AIAA.
Bashir, Musavir, Botez, Ruxandra Mihaela et Wong, Tony.
2024.
« Effect of dynamic camber morphing on dynamic stall characteristics of the Bombardier CRJ-700 ».
In AIAA Aviation Forum and ASCEND (Las Vegas , NV, USA, July 29-Aug. 02 ,2024)
Coll. « AIAA Paper », vol. AIAA 2024-3926.
American Institute of Aeronautics and Astronautics Inc, AIAA.
Bashir, Musavir, Longtin-Martel, Simon, Botez, Ruxandra M. et Wong, Tony.
2022.
« Aerodynamic design and shape optimization of the UAS-S45 camber adaptive winglet ».
In AIAA Science and Technology Forum and Exposition (AIAA SciTech Forum) (San Diego, CA, USA - En ligne, Jan. 03-07, 2022)
Coll. « AIAA Paper », vol. AIAA 2022-1041.
American Institute of Aeronautics and Astronautics Inc..
Bashir, Musavir, Longtin-Martel, Simon, Botez, Ruxandra M. et Wong, Tony.
2022.
« Aerodynamic shape optimization of camber morphing airfoil based on black widow optimization ».
In AIAA Science and Technology Forum and Exposition (AIAA SciTech Forum) (San Diego, CA, USA - En ligne, Jan. 03-07, 2022)
Coll. « AIAA Paper », vol. AIAA 2022-2575.
American Institute of Aeronautics and Astronautics Inc..
Bashir, Musavir, Longtin-Martel, Simon, Botez, Ruxandra M. et Wong, Tony.
2023.
« Design of a camber morphing winglet for the UAS-S45 with parametric sensitivity analysis ».
In AIAA SciTech Forum and Exposition, 2023 (National Harbor, MD, USA, Jan. 23-27, 2023)
Coll. « AIAA Paper », vol. AIAA 2023-1584.
American Institute of Aeronautics and Astronautics Inc, AIAA.
Bashir, Musavir, Longtin-Martel, Simon, Botez, Ruxandra Mihaela et Wong, Tony.
2021.
« Aerodynamic design optimization of a morphing leading edge and trailing edge airfoil-application on the UAS-S45 ».
Applied Sciences, vol. 11, nº 4.
Bashir, Musavir, Longtin-Martel, Simon, Botez, Ruxandra Mihaela et Wong, Tony.
2022.
« Optimization and design of a flexible droop-nose leading-edge morphing wing based on a novel black widow optimization algorithm—part I ».
Designs, vol. 6, nº 1.
Bashir, Musavir, Longtin-Martel, Simon, Zonzini, Nicola, Botez, Ruxandra Mihaela, Ceruti, Alessandro et Wong, Tony.
2022.
« Optimization and design of a flexible droop nose leading edge morphing wing based on a novel black widow optimization (B.W.O.) algorithm—part II ».
Designs, vol. 6, nº 6.
Bashir, Musavir, Negahban, Mir Hossein, Botez, Ruxandra M. et Wong, Tony.
2023.
« Aerodynamic flow control using a dynamically morphing leading edge (DMLE) for the UAS-S45 Airfoil ».
In AIAA Aviation and Aeronautics Forum and Exposition, AIAA AVIATION Forum 2023 (San Diego, CA, USA, June 12-16, 2023)
Coll. « AIAA Paper », vol. AIAA 2023-3746.
American Institute of Aeronautics and Astronautics Inc, AIAA.
Bashir, Musavir, Negahban, Mir Hossein, Botez, Ruxandra Mihaela et Wong, Tony.
2024.
« Numerical simulation of the transient flow around the combined morphing leading-edge and trailing-edge airfoil ».
Biomimetics, vol. 9, nº 2.
Bashir, Musavir, Zonzini, Nicola, Botez, Ruxandra M., Ceruti, Alessandro et Wong, Tony.
2023.
« Numerical investigation of a dynamically morphing trailing edge UAS-S45 Airfoil at moderate Reynolds number ».
In AIAA SciTech Forum and Exposition, 2023 (National Harbor, MD, USA, Jan. 23-27, 2023)
Coll. « AIAA Paper », vol. AIAA 2023-1585.
American Institute of Aeronautics and Astronautics Inc, AIAA.
Bashir, Musavir, Zonzini, Nicola, Botez, Ruxandra Mihaela, Ceruti, Alessandro et Wong, Tony.
2023.
« Flow control around the UAS-S45 pitching airfoil using a dynamically morphing leading edge (DMLE): A numerical study ».
Biomimetics, vol. 8, nº 1.
Bastos, L. C., Bortolozzi, F., Sabourin, R. et Kaestner, C..
1998.
« Mathematical modelation of handwritten signatures by conics ».
Revista da sociedade paranaense de matematica, vol. 18, nº 1-2.
pp. 135-145.
Bateson, M., Dolz, J., Kervadec, H., Lombaert, H. et Ben Ayed, I..
2021.
« Constrained domain adaptation for image segmentation ».
IEEE Transactions on Medical Imaging, vol. 40, nº 7.
pp. 1875-1887.
Bateson, Mathilde, Kervadec, Hoel, Dolz, Jose, Lombaert, Hervé et Ben Ayed, Ismail.
2019.
« Constrained domain adaptation for segmentation ».
In Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 : 22nd International Conference, Proceedings, Part II (Shenzhen, China, Oct. 13-17, 2019)
Coll. « Lecture Notes in Computer Science », vol. 11765.
pp. 326-334.
Springer.
Bateson, Mathilde, Kervadec, Hoel, Dolz, Jose, Lombaert, Hervé et Ben Ayed, Ismail.
2022.
« Source-free domain adaptation for image segmentation ».
Medical Image Analysis, vol. 82.
Bateson, Mathilde, Kervadec, Hoel, Dolz, José, Lombaert, Hervé et Ben Ayed, Ismail.
2020.
« Source-relaxed domain adaptation for image segmentation ».
In Medical Image Computing and Computer Assisted Intervention – MICCAI 2020 : 23rd International Conference, Lima, Peru, October 4–8, 2020, Proceedings, Part I (Lima, Peru, Oct. 04-08, 2020)
Coll. « Lecture Notes in Computer Science », vol. 12261.
pp. 490-499.
Springer Science and Business Media Deutschland GmbH.
Bateson, Mathilde, Lombaert, Herve et Ben Ayed, Ismail.
2022.
« Test-time adaptation with shape moments for image segmentation ».
In Medical Image Computing and Computer Assisted Intervention – MICCAI 2022 25th International Conference : Proceedings Part IV (Singapore, Singapore, Sept. 18-22, 2022)
Coll. « Lecture Notes in Computer Science », vol. 13434.
pp. 736-745.
Springer Science and Business Media Deutschland GmbH.
Batista, L., Granger, E. et Sabourin, R..
2012.
« Dynamic selection of generative-discriminative ensembles for off-line signature verification ».
Pattern Recognition, vol. 45, nº 4.
pp. 1326-1340.
Batista, Luana, Badri, Bechir, Sabourin, Robert et Thomas, Marc.
2013.
« A classifier fusion system for bearing fault diagnosis ».
Expert Systems with Applications, vol. 40, nº 17.
pp. 6788-6797.
Batista, Luana, Badri, Bechir, Sabourin, Robert et Thomas, Marc.
2012.
« Detecting bearing defects under high noise levels: A classifier fusion approach ».
In 38th Annual Conference on IEEE Industrial Electronics Society, IECON 2012 (Montreal, QC, Canada, Oct. 25-28, 2012)
pp. 3880-3886.
Washington, DC : IEEE Computer Society.
Batista, Luana, Granger, Éric et Sabourin, Robert.
2010.
« A multi-classifier system for off-line signature verification based on dissimilarity representation ».
In 9th International Workshop on Multiple Classifier Systems (MCS) (Cairo, Egypt, Apr. 7-9, 2010)
Coll. « Lecture Notes in Computer Science », vol. 5997.
pp. 264-273.
Berlin, Germany : Springer Verlag.
Batista, Luana, Granger, Éric et Sabourin, Robert.
2009.
« A multi-hypothesis approach for off-line signature verification with HMMs ».
In 10th International Conference on Document Analysis and Recognition (ICDAR) (Barcelona, Spain, July 26-29, 2009)
pp. 1315-1319.
Washington, D.C. : Institute of Electrical and Electronics Engineers Computer Society.
Batista, Luana, Granger, Éric et Sabourin, Robert.
2010.
« Applying dissimilarity representation to off-line signature verification ».
In 20th International Conference on Pattern Recognition (ICPR) (Istanbul, Turkey, Aug. 23-26, 2010)
pp. 1293-1297.
Los Alamitos, CA, USA : Institute of Electrical and Electronics Engineers Computer Society.
Batista, Luana, Granger, Éric et Sabourin, Robert.
2011.
« Dynamic ensemble selection for off-line signature verification ».
In 10th International Workshop on Multiple Classifier Systems (MCS) (Naples, Italy, June 15-17, 2011)
Coll. « Lecture Notes in Computer Science », vol. 6713.
pp. 157-166.
Germany : Springer Verlag.
Batista, Luana, Granger, Éric et Sabourin, Robert.
2010.
« Improving performance of HMM-based off-line signature verification systems through a multi-hypothesis approach ».
International Journal on Document Analysis and Recognition, vol. 13, nº 1.
pp. 33-47.
Batista, Luana, Rivard, Dominique, Sabourin, Robert, Granger, Éric et Maupin, Patrick.
2008.
« State of the art in off-line signature verification ».
In
Pattern recognition technologies and applications : recent advances.
pp. 39-62. Hershey, PA : Information Science Reference. Batkin, Izmail, Ahmad, Saif, Bolic, Miodrag, Groza, Voicu, Dajani Hilmi, R. et Forouzanfar, Mohamad (inventeurs) 24 février 2015. « Apparatus and method for electrocardiogram-assisted blood pressure measurement ». University of Ottawa (titulaire(s)). Brevet canadien CA 2776204. [Titre traduit: Appareil et procédé de mesure de la tension arterielle assistée par électrocardiogramme].
Batool, Zahra, Zhang, Kaiwen et Toews, Matthew.
2023.
« Block-RACS: Towards reputation-aware client selection and monetization mechanism for federated learning ».
ACM SIGAPP Applied Computing Review, vol. 23, nº 3.
49–65.
Batool, Zahra, Zhang, Kaiwen et Toews, Matthew.
30 janvier 2023.
« Blockchain technologies for decentralized machine learning ».
[Article de recherche]. Substance ÉTS.
Batool, Zahra, Zhang, Kaiwen et Toews, Matthew.
2022.
« FL-MAB: Client selection and monetization for blockchain-based federated learning ».
In Proceedings of the ACM Symposium on Applied Computing (En ligne, Apr. 25-29, 2022)
pp. 299-307.
Association for Computing Machinery.
Batool, Zahra, Zhang, Kaiwen et Toews, Matthew.
30 janvier 2023.
« Les chaînes de blocs pour l’apprentissage machine décentralisé ».
[Article de recherche]. Substance ÉTS.
Beauchemin-Turcotte, M., Gauthier, Guy et Sabourin, Robert.
2014.
« Design of fuzzy terminal iterative learning control based on internal model control ».
In 2014 22nd Mediterranean Conference on Control and Automation (MED) (Palermo, Italy, June 16-19, 2014)
pp. 463-468.
Piscataway, N. J., USA : IEEE.
Beizaee, Farzad, Bona, Michele, Desrosiers, Christian, Dolz, Jose et Lodygensky, Gregory.
2023.
« Determining regional brain growth in premature and mature infants in relation to age at MRI using deep neural networks ».
Scientific Reports, vol. 13, nº 1.
Beizaee, Farzad, Desrosiers, Christian, Lodygensky, Gregory A. et Dolz, Jose.
2023.
« Harmonizing flows: Unsupervised MR harmonization based on normalizing flows ».
In Information Processing in Medical Imaging : 28th International Conference, IPMI : Proceedings (San Carlos de Bariloche, Argentina, June 18-23, 2023)
Coll. « Lecture Notes in Computer Science », vol. 13939.
pp. 347-359.
Springer. Bélanger, H., Noumeir, Rita et Lepage, Richard. 1997. « Réseau de neurones de Kohonen pour extraire les contours dans une image à niveaux de gris ». Communication lors de la conférence : 65e Colloque de l'ACFAS (Trois-Rivières, QC, Canada, 12-16 mai 1997).
Belghait, Fodil, April, Alain, Hamet, Pavel, Tremblay, Johanne et Desrosiers, Christian.
2019.
« A large-scale and extensible platform for precision medicine research ».
In 9th International Conference on Digital Public Health (DPH) (Marseille, France, Nov. 20-23, 2019)
Coll. « ACM International Conference Proceeding Series »
pp. 47-54.
Association for Computing Machinery.
Belharbi, Soufiane, Ben Ayed, Ismail, McCaffrey, Luke et Granger, Eric.
2021.
« Deep active learning for joint classification segmentation with weak annotator ».
In IEEE Winter Conference on Applications of Computer Vision (WACV) (Waikoloa, HI, USA, Jan. 03-08, 2021)
pp. 3337-3346.
Los Alamitos, CA, USA : IEEE Computer Society.
Belharbi, Soufiane, Ben Ayed, Ismail, McCaffrey, Luke et Granger, Eric.
2023.
« TCAM: Temporal class activation maps for object localization in weakly-labeled unconstrained videos ».
In 23rd IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (Waikoloa, HI, USA, Jan. 02-07, 2023)
pp. 137-146.
Institute of Electrical and Electonics Engineers Inc..
Belharbi, Soufiane, Pedersoli, Marco, Ben Ayed, Ismail, McCaffrey, Luke et Granger, Éric.
2022.
« Negative evidence matters in interpretable histology image classification ».
In Medical Imaging with Deep Learning MIDL (Zurich, Switzerland, July 06-08, 2022)
Coll. « Proceedings of Machine Learning Research », vol. 172.
pp. 103-129.
ML Research Press.
Belharbi, Soufiane, Pedersoli, Marco, Lameiras Koerich, Alessandro, Bacon, Simon et Granger, Eric.
2024.
« Guided interpretable facial expression recognition via spatial action unit cues ».
In IEEE 18th International Conference on Automatic Face and Gesture Recognition (FG) (Istanbul, Turkey, May 27-31, 2024)
Belharbi, Soufiane, Rony, Jérôme, Dolz, Jose, Ben Ayed, Ismail, McCaffrey, Luke et Granger, Eric.
2022.
« Deep interpretable classification and weakly-supervised segmentation of histology images via max-min uncertainty ».
IEEE Transactions on Medical Imaging, vol. 41, nº 3.
pp. 702-714.
Belharbi, Soufiane, Sarraf, Aydin, Pedersoli, Marco, Ben Ayed, Ismail, McCaffrey, Luke et Granger, Eric.
2022.
« F-CAM: Full resolution class activation maps via guided parametric upscaling ».
In IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (Waikoloa, HI, USA, Jan. 03-08, 2022)
pp. 3727-3736.
Institute of Electrical and Electronics Engineers Inc..
Belouchrani, Adel et Cheriet, Mohamed.
2001.
« On the use of a new compact support kernel in time frequency analysis ».
In 11th IEEE Workshop on Statistical Signal Processing (Singapor, Singapor, Aug. 6-8, 2001)
pp. 333-336.
Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers.
Ben Ayed, Ismail.
2014.
« Distribution matching approaches to medical image segmentation ».
In
Computer Vision in Medical Imaging.
Coll. « Series in Computer Vision », vol. 2.
pp. 19-33. Singapore, Singapore : World Scientific Publishing Co. Pte. Ltd..
Ben Ayed, Ismail.
2023.
« High-order models in semantic image segmentation ».
Elsevier. 168 p.
Ben Ayed, Ismail, Chen, Hua-mei, Punithakumar, Kumaradevan, Ross, Ian et Li, Shuo.
2012.
« Max-flow segmentation of the left ventricle by recovering subject-specific distributions via a bound of the Bhattacharyya measure ».
Medical Image Analysis, vol. 16, nº 1.
pp. 87-100.
Ben Ayed, Ismail, Gorelick, Lena et Boykov, Yuri.
2013.
« Auxiliary cuts for general classes of higher order functionals ».
In 2013 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (Portland, OR, USA, June 23-28, 2013)
pp. 1304-1311.
IEEE Computer Society.
Ben Ayed, Ismail, Hua-mei, Chen, Punithakumar, Kumaradevan, Ross, Ian et Li, Shuo.
2010.
« Graph cut segmentation with a global constraint: recovering region distribution via a bound of the Bhattacharyya measure ».
In 2010 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (San Francisco, CA, USA, June 13-18, 2010)
pp. 3288-3295.
IEEE.
Ben Ayed, Ismail, Mitiche, Amar, Ben Salah, Mohamed et Li, Shuo.
2010.
« Finding image distributions on active curves ».
In 2010 IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (San Francisco, CA, USA, June 13-18, 2010)
pp. 3225-3232.
IEEE. Ben Ayed, Ismail, Pavlov, Dmitry, Punithakumar, Kumaradevan, Hojjat, Seyed-Parsa et Garvin, Gregory (inventeurs) 6 février 2018. « Methods and apparatus to label radiology images ». General Electric Company (titulaire(s)). Brevet américain US 9,886,546.
Ben Ayed, Ismail, Punithakumar, Kumaradevan, Garvin, Gregory, Romano, Walter et Li, Shuo.
2011.
« Graph cuts with invariant object-interaction priors: application to intervertebral disc segmentation ».
In Information Processing in Medical Imaging. 22nd International Conference, IPMI 2011, Kloster Irsee, Germany, July 3-8, 2011. Proceedings (Kloster Irsee, Germany, July 3-8, 2011)
Coll. « Lecture Notes in Computer Science », vol. 6801.
pp. 221-232.
Springer Verlag.
Ben Ayed, Ismail, Punithakumar, Kumaradevan, Minhas, Rashid, Joshi, Rohit et Garvin, Gregory J..
2012.
« Vertebral body segmentation in MRI via convex relaxation and distribution matching ».
In Medical Image Computing and Computer-Assisted Intervention - MICCAI 2012 : 15th International Conference, Nice, France, October 1-5, 2012, Proceedings, Part I (Berlin, Germany, Oct. 1-5, 2012)
Coll. « Lecture Notes in Computer Science », vol. 7510.
pp. 520-527.
Springer Verlag.
Ben Ayed, Ismail, Wang, Michael, Miles, Brandon et Garvin, Gregory J..
2014.
« TRIC: Trust region for invariant compactness and its application to abdominal aorta segmentation ».
In Medical Image Computing and Computer-Assisted Intervention – MICCAI 2014. 17th International Conference, Boston, MA, USA, September 14-18, 2014, Proceedings, Part I (Boston, MA, USA, Sept. 14-18, 2014)
Coll. « Lecture Notes in Computer Science », vol. 8673.
pp. 381-388.
Springer Verlag.
Ben Azouz, Z., Rioux, M., Lepage, R. et Shu, C..
2003.
« Compact description ot the human being shape with enhanced hyperquadrics ».
In Proceedings of the XVth Triennial Congress of the International Ergonomics Association and the 7th Joint Conference of Ergonomics Society of Korea [and] Japan Ergonomics Society : "ergonomics in the digital age," August 24-29, 2003, Seoul, Korea (Seoul, Korea, Aug. 24-29, 2003)
Seoul, Korea : Ergonomics Society of Korea.
Ben Azouz, Z., Rioux, M., Lepage, R. et Shu, C..
2003.
« Description compacte de la forme du corps humain par des hyperquadriques étendues ».
In Actes des 3e ateliers sur Traitement et Analyse de l'Information : Méthodes et Applications - TAIMA 03 (Hammamet, Tunisie, 1-3 oct. 2003)
pp. 281-286.
Ben Azouz, Zouhour, Rioux, Marc, Shu, Chang et Lepage, Richard.
2004.
« Analysis of human shape variation using volumetric techniques ».
In Proceedings of the 17th Annual Conference on Computer Animation and Social Agents (CASA) (Geneva, Switzerland, July 7-9, 2004)
pp. 197-206.
Ben Azouz, Zouhour, Rioux, Marc, Shu, Chang et Lepage, Richard.
2006.
« Characterizing human shape variation using 3D anthropometric data ».
Visual Computer, vol. 22, nº 5.
pp. 302-314.
Ben Azouz, Zouhour, Shu, Chang, Lepage, Richard et Rioux, Marc.
2005.
« Extracting main modes of human body shape variation from 3D anthropometric data ».
In Proceedings - 5th International Conference on 3-D Digital Imaging and Modeling, 3DIM 2005 (Ottawa, ON, Canada, June 13-16, 2005)
pp. 335-342.
Washington, D. C., USA : IEEE Computer Society.
Ben Braiek, E., Aouina, N., Abid, S. et Cheriet, Mohamed.
2004.
« Handwritten characters recognition based on SKCS-polyline and Hidden Markov Model (HMM) ».
In 1st International Symposium on Control, Communications and Signal Processing (ISCCSP) (Hammamet, Tunisia, March 21-24, 2004)
pp. 447-450.
Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers.
Ben Braiek, E., Cheriet, Mohamed et Doré, V..
2006.
« Conception d’une nouvelle famille de noyaux séparables à support compact appliqués à l’extraction des données visuelles manuscrites ».
Traitement du Signal, vol. 23, nº 1.
pp. 25-40.
Ben Braiek, Ezzedine, Cheriet, Mohamed et Doré, Vincent.
2005.
« SKCS-A separable kernel family with compact support to improve visual segmentation of handwritten data ».
Electronic Letters on Computer Vision and Image Analysis, vol. 5, nº 1.
pp. 14-29.
Ben Braiek, Ezzedine, Meghoufel, Ali et Cheriet, Mohamed.
2004.
« SKCS - New kernel family with compact support ».
In International Conference on Image Processing (ICIP) (Singapor, Singapor, Oct. 18-21, 2004)
pp. 1181-1184.
Los Alamitos, CA, USA : Institute of Electrical and Electronics Engineers Computer Society.
Ben Braik, E. et Cheriet, M..
2001.
« Extraction of handwritten data from noisy gray-level images using a separable version of KCS kernel family ».
In Actes/Proceedings : International Conference on Image and Signal Processing, ICISP'2001, May 03-05, 2001-Agadir-Morocco (Agadir, Morocco, May 3-5, 2001)
pp. 125-131.
Ben Salah, M., Mitiche, A. et Ben Ayed, I..
2010.
« Image partitioning with kernel mapping and graph cuts ».
In 2010 Proceedings of 17th IEEE International Conference on Image Processing (ICIP 2010) (Hong Kong, China, Sept. 26-29, 2010)
pp. 245-248.
IEEE.
Ben Salah, Mohamed, Ben Ayed, Ismail, Jing, Yuan et Hong, Zhang.
2014.
« Convex-relaxed kernel mapping for image segmentation ».
IEEE Transactions on Image Processing, vol. 23, nº 3.
pp. 1143-1153.
Ben Salah, Mohamed, Ben Ayed, Ismail et Mitiche, Amar.
2012.
« Active curve recovery of region boundary patterns ».
IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 34, nº 5.
pp. 834-849.
Ben Salah, Mohamed, Mitiche, Amar et Ben Ayed, Ismail.
2010.
« Effective level set image segmentation with a kernel induced data term ».
IEEE Transactions on Image Processing, vol. 19, nº 1.
pp. 220-232.
Ben Salah, Mohamed, Mitiche, Amar et Ben Ayed, Ismail.
2011.
« Multiregion image segmentation by parametric kernel graph cuts ».
IEEE Transactions on Image Processing, vol. 20, nº 2.
pp. 545-557.
Bengherabi, Messaoud, Mezai, Lamia, Harizi, Farid, Guessoum, Abderrazak et Cheriet, Mohamed.
2009.
« 2DPCA-based techniques in DCT domain for face recognition ».
International Journal of Intelligent Systems Technologies and Applications, vol. 7, nº 3.
pp. 243-265.
Bergamini, Cheila, Oliveira, Luis S., Koerich, Alessandro L. et Sabourin, Robert.
2009.
« Combining different biometric traits with one-class classification ».
Signal Processing, vol. 89, nº 11.
pp. 2117-2127.
Bergamini, Cheila, Oliveira, Luiz S., Koerich, Alessandro L. et Sabourin, Robert.
2008.
« Fusion of biometric systems using one-class classification ».
In IEEE International Joint Conference on Neural Networks (IJCNN) (Hong Kong, China, June 1-8, 2008)
pp. 1308-1313.
Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers.
Bernard, Simon, Cao, Hongliu, Sabourin, Robert et Heutte, Laurent.
2020.
« Random forest for dissimilarity-based multi-view learning ».
In
Handbook of Pattern Recognition and Computer Vision.
6th edition.
pp. 119-138. World Scientific.
Bernard, Simon, Chatelain, Clément, Adam, Sébastien et Sabourin, Robert.
2014.
« Apprentissage multiclasse en environnement incertain ».
In XXième rencontre de la société francophone de classification (Rabat, Maroc, 10-12 sept. 2014)
Bernard, Simon, Chatelain, Clément, Adam, Sébastien et Sabourin, Robert.
2016.
« The Multiclass ROC Front method for cost-sensitive classification ».
Pattern Recognition, vol. 52.
pp. 46-60.
Bernier, Thomas et Landry, Jacques-André.
2003.
« A new method for representing and matching shapes of natural objects ».
Pattern Recognition, vol. 36, nº 8.
pp. 1711-1723.
Bertieaux, Julien, Shateri, MohammadHadi, Labeau, Fabrice et Dutoit, Thierry.
2023.
« Cardiotocography signal abnormality detection based on deep semi-unsupervised learning ».
In 10th IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT) (Taormina, Italy, Dec. 04-07, 2023)
Association for Computing Machinery, Inc.
Bertolini, D., Oliveira, L. S., Justino, E. et Sabourin, Robert.
2014.
« Assessing textural features for writer identification on different writing styles and forgeries ».
In 2014 22nd International Conference on Pattern Recognition (ICPR) (Stockholm, Sweden, Aug. 24-28, 2014)
pp. 268-272.
Los Alamitos, CA, USA : IEEE Computer Society.
Bertolini, D., Oliveira, L. S., Justino, E. et Sabourin, Robert.
2013.
« Texture-based descriptors for writer identification and verification ».
Expert Systems with Applications, vol. 40, nº 6.
pp. 2069-2080.
Bertolini, D., Oliveira, L.S., Justino, E. et Sabourin, Robert.
2008.
« Ensemble of classifiers for off-line signature verification ».
In IEEE International Conference on Systems, Man and Cybernetics (SMC) (Singapore, Singapore, Oct.12-15, 2008)
pp. 283-288.
Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers.
Bertolini, D., Oliveira, Luis S., Justino, Edson José Rodrigues et Sabourin, Robert.
2010.
« Reducing forgeries in writer-independent off-line signature verification through ensemble of classifiers ».
Pattern Recognition, vol. 43, nº 1.
pp. 387-396.
Bertolini, Diego, Oliveira, Luiz S. et Sabourin, Robert.
2016.
« Multi-script writer identification using dissimilarity ».
In 23rd International Conference on Pattern Recognition (ICPR) (Cancún, México, Dec. 04-08, 2016)
pp. 3025-3030.
Piscataway, NJ, USA : IEEE.
Besbes, M., Sayadi, M., Ben Braiek, E., Fnaiech, F. et Cheriet, Mohamed.
2004.
« Étude comparative de trois fonctions floues pour le seuillage de l'histogramme bimodal des images ».
In Journées Tunisiennes de l’Automatique et de l’Electrotechnique (JTEA) (Tunis, Tunisie, 20-22 mai 2004)
Besbes, Moez, Sayadi, Mounir, Ben Braiek, Ezzedine, Fnaiech, Farhat et Cheriet, Mohamed.
2004.
« Segmentation d'images basée sur le seuillage et la morphologie mathématique : application au comptage des cellules ».
In Conférence Tunisienne de Génie Electrique (CTGE) (Tunis, Tunisie, 19-21 fév. 2004)
pp. 391-395.
Association des spécialistes électriciens de Tunisie.
Bhuiyan, Amran, Liu, Yang, Siva, Parthipan, Javan, Mehrsan, Ben Ayed, Ismail et Granger, Éric.
2020.
« Pose guided gated fusion for person re-identification ».
In IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (Snowmass Village, CO, USA, Mar. 01-05, 2020)
pp. 2664-2673.
Institute of Electrical and Electronics Engineers Inc..
Bigras, Pascal, Khayati, Karim et Wong, Tony.
2002.
« Modified feedback linearization controller for pneumatic system with non negligible connection port restriction ».
In IEEE International Conference on Systems, Man and Cybernetics (Hammamet, Tunisia, Oct. 6-9, 2002)
pp. 227-231.
Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers.
Bigras, Pascal, Petrov, Plamen et Wong, Tony.
2002.
« A LMI approach to feedback path control for an articulated mining vehicle ».
In ELECTRIMACS 2002 : 7th international conference on modeling and simulation of electric machines converters and systems : proceedings : Montreal, august 18-21, 2002 (Montreal, QC, Canada, Aug. 18-21, 2002)
ELECTRIMACS.
Bigras, Pascal, Wong, Tony et Botez, Ruxandra.
2001.
« Pressure tracking control of a double restriction pneumatic system ».
In IASTED International Conference, Control and Applications (Banff, AB, Canada, June 27-29, 2001)
pp. 273-278.
Anaheim, CA, USA : ACTA Press.
Bigras, Pascal, Wong, Tony et Sabourin, Robert.
2002.
« Causality assignment using multi-objective evolutionary algorithms ».
In ELECTRIMACS 2002 : 7th International Conference on Modeling and Simulation of Electric Machines, Converters and Systems (Montreal, QC, Canada, Aug. 18-21, 2002)
ELECTRIMACS.
Blackburn-Grenon, Francois, Abran, Alain, Rioux, Michel et Wong, Tony.
2021.
« A team-based workshop to capture organizational knowledge for identifying AI proof-of-value projects ».
IEEE Engineering Management Review, vol. 49, nº 2.
pp. 181-195.
Botez, Ruxandra, Boustani, I., Vayani, N., Bigras, Pascal et Wong, Tony.
2001.
« Optimal control laws for gust alleviation ».
Canadian Aeronautics and Space Journal = Journal Aéronautique et Spatial du Canada, vol. 47, nº 1.
pp. 1-6.
Boucher, Patrice, Dufour, Pierre, Plusquellec, Pierrich, Dehak, Najim, Dumouchel, Pierre et Cardinal, Patrick.
2016.
« PHYSIOSTRESS: A multimodal corpus of data on acute stress and physiological activation ».
In Workshop on Multimodal Corpora : Computer vision and language processing (MMC 2016) (Portoroz, Slovenia, May 23-28, 2016)
pp. 45-48.
European Language Resources Association (ELRA).
Boudiaf, Malik, Bennequin, Etienne, Tami, Myriam, Toubhans, Antoine, Piantanida, Pablo, Hudelot, Celine et Ben Ayed, Ismail.
2023.
« Open-set likelihood maximization for few-shot learning ».
In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (Vancouver, BC, Canada, June 17-24, 2023)
pp. 24007-24016.
Institute of Electrical and Electonics Engineers Inc..
Boudiaf, Malik, Kervadec, Hoel, Masud, Ziko Imtiaz, Piantanida, Pablo, Ben Ayed, Ismail et Dolz, Jose.
2021.
« Few-shot segmentation without meta-learning: A good transductive inference is all you need? ».
In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (Nashville, TN, USA, June 20-25, 2021)
pp. 13974-13983.
IEEE.
Boudiaf, Malik, Masud, Ziko Imtiaz, Rony, Jérôme, Dolz, Jose, Piantanida, Pablo et Ben Ayed, Ismail.
2020.
« Transductive information maximization for few-shot learning ».
In Neural Information Processing Systems Online Conference (NeuroIPS) (En ligne, Dec. 06-12, 2020)
Boudiaf, Malik, Mueller, Romain, Ben Ayed, Ismail et Bertinetto, Luca.
2022.
« Parameter-free online test-time adaptation ».
In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (New Orleans, LA, USA, June 18-24, 2022)
pp. 8334-8343.
Boudiaf, Malik, Rony, Jérôme, Ziko, Imtiaz Masud, Granger, Eric, Pedersoli, Marco, Piantanida, Pablo et Ben Ayed, Ismail.
2020.
« A unifying mutual information view of metric learning: Cross-entropy vs. Pairwise losses ».
In Computer Vision – ECCV 2020 : 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part VI (Glasgow, United Kingdom, Aug. 23-28, 2020)
Coll. « Lecture Notes in Computer Science », vol. 12351.
pp. 548-564.
Springer.
Bouletreau, V., Vincent, N., Sabourin, R. et Emptoz, H..
1997.
« Synthetic parameters for handwriting classification ».
In Proceedings of the Fourth International Conference on Document Analysis and Recognition (Ulm, Germany, Aug. 18-20, 1997)
pp. 102-106.
IEEE.
Boulétreau, V., Vincent, N., Sabourin, R. et Emptoz, H..
1998.
« Écriture et signature: même comportement face à la reconnaissance? ».
In Actes du 1er colloque international francophone sur l'écrit et le document tenu dans le cadre du congrès de l'Acfas à Québec en mai 1998 (Québec, QC, Canada, 11-13 mai 1998)
Coll. « Cahiers de l'ACFAS », vol. 93.
pp. 316-324.
Montréal, QC, Canada : Association canadienne-française pour l'avancement des sciences. Bouletreau, V., Vincent, N., Sabourin, Robert et Emptoz, H.. 1998. « Handwritting and signature : one or two personality identifiers? ». Communication lors de la conférence : 14th International Conference on Pattern Recognition (ICPR'98) (Brisbane, Australia, Aug. 17-20, 1998).
Boulianne, G., Beaumont, J.-F., Boisvert, M., Brousseau, J., Cardinal, P., Chapdelaine, C., Comeau, M., Ouellet, P. et Osterrath, F..
2006.
« Computer-assisted closed-captioning of live TV broadcasts in French ».
In INTERSPEECH 2006 : ICSLP ; Proceedings of the Ninth International Conference on Spoken Language Processing (Pittsburgh, PA, USA, Sept. 17-21, 2006)
pp. 273-276.
International Speech and Communication Association.
Boulianne, Gilles, Beaumont, Jean-François, Cardinal, Patrick, Comeau, Michel, Ouellet, Pierre et Dumouchel, Pierre.
2003.
« Automatic segmentation of film dialogues into phonemes and graphemes ».
In Proceedings of the 8th European Conference on Speech Communication and Technology (Eurospeech 2003) (Geneva, Switzerland, Sept. 1-4, 2003)
pp. 1241-1244.
International Speech and Communication Association.
Bouserhal, Rachel E., Chabot, Philippe, Sarria-Paja, Milton, Cardinal, Patrick et Voix, Jérémie.
2018.
« Classification of nonverbal human produced audio events: A pilot study ».
In 19th Annual Conference of the International Speech Communication (INTERSPEECH 2018) (Hyderabad, India, Sept. 02-06, 2018)
pp. 1512-1516.
International Speech Communication Association. Bouserhal, Rachel, Sarria-Paja, Milton, Cardinal, Patrick et Voix, Jérémie. 2018. « Classification of nonverbal human produced audio events: a pilot study ». Communication lors de la conférence : Workshop on machine hearing and learning (Montreal, QC, Canada, Sept. 21, 2018). Bouserhal, Rachel, Sarria-Paja, Milton, Cardinal, Patrick et Voix, Jérémie. 2019. « Classification of nonverbal human produced audio events: a pilot study ». Communication lors de la conférence : National Hearing Conservation Association Annual Conference 2019 (Grapevine, TX, USA, Feb. 07-09, 2019).
Boyadjian, Quentin, Vanderesse, Nicolas, Toews, Matthew et Bocher, Philippe.
2020.
« Detecting defects in materials using deep convolutional neural networks ».
In Image Analysis and Recognition : 17th International Conference, ICIAR 2020, Póvoa de Varzim, Portugal, June 24–26, 2020, Proceedings, Part I (Póvoa de Varzim, Portugal, June 24-26, 2020)
Coll. « Lecture Notes in Computer Science », vol. 12131.
pp. 293-306.
Springer.
Brignol, A., Gueziri, H. E., Cheriet, F., Collins, D. L. et Laporte, C..
2020.
« Automatic extraction of vertebral landmarks from ultrasound images: A pilot study ».
Computers in Biology and Medicine, vol. 122.
Brignol, Arnaud, Cheriet, Farida, Aubin-Fournier, Jean-François, Fortin, Carole et Laporte, Catherine.
2024.
« Robust unsupervised texture segmentation for motion analysis in ultrasound images ».
International Journal of Computer Assisted Radiology and Surgery.
Brignol, Arnaud, Cheriet, Farida et Laporte, Catherine.
2019.
« A robust index for global tissue deformation analysis in ultrasound images ».
In Medical Imaging 2019: Image Processing (San Diego, CA, USA, Feb. 19-21, 2019)
Coll. « Proceedings of SPIE », vol. 10949.
SPIE.
Brignol, Arnaud, Cheriet, Farida et Laporte, Catherine.
2021.
« Extraction automatique de repères vertébraux à partir d’échographies ».
médecine/Sciences, vol. 37, nº Hors Série 1.
pp. 22-24.
Britto Jr, Alceu De S., Sabourin, Robert, Bortolozzi, Flavio et Suen, Ching Y..
2002.
« A string length predictor to control the level building of HMMs for handwritten numeral recognition ».
In 16th International Conference on Pattern Recognition (ICPR) (Quebec City, Canada, Aug. 11-15, 2002)
pp. 31-34.
Los Alamitos, CA, USA : Institute of Electrical and Electronics Engineers Computer Society.
Britto Jr, Alceu De S., Sabourin, Robert, Bortolozzi, Flavio et Suen, Ching Y..
2004.
« Foreground and background information in an HMM-based method for recognition of isolated characters and numeral strings ».
In Ninth International Workshop on Frontiers in Handwriting Recognition (IWFHR) (Tokyo, Japan, Oct. 26-29, 2004)
pp. 371-376.
Los Alamitos, CA, USA : Institute of Electrical and Electronics Engineers Computer Society.
Britto Jr, Alceu S., Sabourin, Robert et Oliveira, Luiz E. S..
2014.
« Dynamic selection of classifiers-A comprehensive review ».
Pattern Recognition, vol. 47, nº 11.
pp. 3665-3680.
Britto, A. S., Sabourin, R., Lethelier, E., Bortolozzi, F. et Suen, C. Y..
2001.
« An enhanced HMM topology in an LBA framework for the recognition of handwritten numeral strings ».
In Advances in pattern recognition: ICAPR 2001: second international conference, Rio de Janeiro, Brazil, March 11-14, 2001: proceedings (Rio de Janeiro, Brazil, March 11-14, 2001)
Coll. « Lecture Notes in Computer Science », vol. 2013.
pp. 105-114.
New York, NY, USA : Springer.
Britto, A., Sabourin, Robert, Bortolozzi, Flavio et Suen, Ching Y..
2001.
« A two-stage HMM-based system for recognizing handwritten numeral strings ».
In Proceedings of Sixth International Conference on Document Analysis and Recognition (Seattle, WA, USA, Sept. 10-13, 2001)
pp. 396-400.
Los Aalmitos, CA, USA : Institute of Electrical and Electronics Engineers Computer Society.
Britto, Alceu de S. Jr., Sabourin, Robert, Bortolozzi, Flavio et Suen, Ching Y..
2003.
« The recognition of handwritten numeral strings using a two-stage HMM-based method ».
International Journal on Document Analysis and Recognition, vol. 5, nº 2-3.
pp. 102-117.
Britto, Alceu de S., Sabourin, Robert, Bortolozzi, Flavio et Suen, Ching Y..
2003.
« Complementary features combined in an HMM-based system to recognize handwritten digits ».
In 12th International Conference on Image Analysis and Processing (Mantova, Italy, Sept. 17-19, 2003)
pp. 670-675.
Los Alamitos, CA, USA : Institute of Electrical and Electronics Engineers Computer Society.
Britto, Alceu de Souza, Freitas, Cinthia Obladen de Almendra, Justino, Edson J. R., Borges, Díbio Leandro, Facon, Jacques, Bortolozzi, Flávio et Sabourin, Robert.
2001.
« Técnicas em Processamento e Análise de Documentos Manuscritos ».
Revista de Informática Teórica e Aplicada, vol. 8, nº 2.
pp. 47-68.
Brousseau, Julie, Beaumont, Jean-François, Boulianne, Gilles, Cardinal, Patrick, Chapdelaine, Claude, Comeau, Michel, Osterrath, Frédéric et Ouellet, Pierre.
2003.
« Automated closed-captioning of live TV broadcast news in French ».
In Proceedings of the 8th European Conference on Speech Communication and Technology (Eurospeech 2003) (Geneva, Switzerland, Sept. 1-4, 2003)
pp. 1245-1248.
International Speech and Communication Association.
Brun, André L., Britto, Alceu S., Oliveira, Luiz S., Enembreck, Fabricio et Sabourin, Robert.
2018.
« A framework for dynamic classifier selection oriented by the classification problem difficulty ».
Pattern Recognition, vol. 76.
pp. 175-190.
Brun, André L., Britto, Alceu S., Oliveira, Luiz S., Enembreck, Fabricio et Sabourin, Robert.
2016.
« Contribution of data complexity features on dynamic classifier selection ».
In International Joint Conference on Neural Networks (IJCNN) (Vancouver, BC, Canada, July 24-29, 2016)
pp. 4396-4403.
Piscataway, NJ, USA : IEEE.
Cantin, M.-A., Blaquière, Y., Savaria, Y., Granger, E. et Lavoie, P..
1998.
« Implementation of the fuzzy ART neural network for fast clustering of radar pulses ».
In Proceedings of the 1998 International Symposium on Circuits and Systems (ISCAS'98) (Monterey, CA, USA, May 31-June 3, 1998)
pp. 458-461.
IEEE.
Cantin, M.-A., Granger, E., Savaria, Y., Blaquière, Y. et Lavoie, P..
1999.
« Four implementations of the fuzzy ART neural network for high data throughput applications ».
In Proceedings of the third International Conference on Cognitive and Neural Systems (ICCNS'99) (Boston, MA, USA, May 26-29, 1999)
p. 15.
Cantin, M.-A., Savaria, Y., Blaquière, Y., Granger, E. et Lavoie, P..
2000.
« Analysis of quantization effects in a digital hardware implementation of a fuzzy ART neural network algorithm ».
In ISCAS 2000 Geneva : proceedings of the 2000 IEEE International Symposium on Circuits and Systems (Geneva, Switzerland, May 28-31, 2000)
pp. 141-144.
IEEE.
Cao, Hongliu, Bernard, Simon, Heutte, Laurent et Sabourin, Robert.
2018.
« Dissimilarity-based representation for radiomics applications ».
In Proceedings of the International Conference on Pattern Recognition and Artificial Intelligence (ICPRAI'2018) (Montréal, QC, Canada, May 13-17, 2018)
pp. 53-58.
CENPARMI, Concordia University.
Cao, Hongliu, Bernard, Simon, Heutte, Laurent et Sabourin, Robert.
2018.
« Dynamic voting in multi-view learning for radiomics applications ».
In Structural, Syntactic, and Statistical Pattern Recognition : Joint IAPR International Workshop, S+SSPR 2018 (Beijing, China, Aug. 17-19, 2018)
Coll. « Lecture Notes in Computer Science », vol. 11004.
pp. 32-41.
Springer Verlag.
Cao, Hongliu, Bernard, Simon, Heutte, Laurent et Sabourin, Robert.
2018.
« Improve the performance of transfer learning without fine-tuning using dissimilarity-based multi-view learning for breast cancer histology images ».
In Image Analysis and Recognition : 15th International Conference : ICIAR 2018 : Proceedings (Póvoa de Varzim, Portugal, June 27-29, 2018)
Coll. « Lecture Notes in Computer Science », vol. 10882.
pp. 779-787.
Springer.
Cao, Hongliu, Bernard, Simon, Sabourin, Robert et Heutte, Laurent.
2020.
« A novel random forest dissimilarity measure for multi-view learning ».
In 25th International Conference on Pattern Recognition (ICPR) (Milan, Italy, Jan. 10-15, 2021)
pp. 1344-1351.
Piscataway, NJ, USA : IEEE.
Cao, Hongliu, Bernard, Simon, Sabourin, Robert et Heutte, Laurent.
2019.
« Random forest dissimilarity based multi-view learning for Radiomics application ».
Pattern Recognition, vol. 88.
pp. 185-197.
Carass, Aaron, Cuzzocreo, Jennifer L., Han, Shuo, Hernandez-Castillo, Carlos R., Rasser, Paul E., Ganz, Melanie, Beliveau, Vincent, Dolz, Jose, Ben Ayed, Ismail, Desrosiers, Christian, Thyreau, Benjamin, Romero, José E., Coupé, Pierrick, Manjón, José V., Fonov, Vladimir S., Collins, D. Louis, Ying, Sarah H., Onyike, Chiadi U., Crocetti, Deana, Landman, Bennett A., Mostofsky, Stewart H., Thompson, Paul M. et Prince, Jerry L..
2018.
« Comparing fully automated state-of-the-art cerebellum parcellation from magnetic resonance images ».
NeuroImage, vol. 183.
pp. 150-172.
Carbonneau, M. A., Gagnon, Ghyslain, Sabourin, Robert et Dubois, J..
2013.
« Recognition of blowing sound types for real-time implementation in mobile devices ».
In 2013 IEEE 11th International New Circuits and Systems Conference (NEWCAS) (Paris, France, June 16-19, 2013)
Piscataway, N. J., USA : IEEE.
Carbonneau, Marc-André, Cheplygina, Veronika, Granger, Eric et Gagnon, Ghyslain.
2018.
« Multiple instance learning: A survey of problem characteristics and applications ».
Pattern Recognition, vol. 77.
pp. 329-353.
Carbonneau, Marc-André, Granger, Eric, Attabi, Yazid et Gagnon, Ghyslain.
2020.
« Feature learning from spectrograms for assessment of personality traits ».
IEEE Transactions on Affective Computing, vol. 11, nº 1.
pp. 25-31.
Carbonneau, Marc-André, Granger, Eric et Gagnon, Ghyslain.
2019.
« Bag-level aggregation for multiple-instance active learning in instance classification problems ».
IEEE Transactions on Neural Networks and Learning Systems, vol. 30, nº 5.
pp. 1441-1451.
Carbonneau, Marc-André, Granger, Éric, Raymond, Alexandre J. et Gagnon, Ghyslain.
2016.
« Robust multiple-instance learning ensembles using random subspace instance selection ».
Pattern Recognition, vol. 58.
pp. 83-99.
Cardinal, P., Boulianne, G., Comeau, M. et Boisvert, M..
2007.
« Real-time correction of closed captions ».
In Proceedings of the 45th Annual Meeting of the Association of Computational Linguistics (Prague, Czech Republic, June 24-29, 2007)
pp. 113-116.
Association for Computational Linguistics (ACL).
Cardinal, Patrick, Ali, Ahmed, Dehak, Najim, Zhang, Yu, Al Hanai, Tuka, Zhang, Yifan, Glass, James R. et Vogel, Stephan.
2014.
« Recent advances in ASR applied to an Arabic transcription system for Al-Jazeera ».
In INTERSPEECH 2014. 15th Annual Conference of the International Speech Communication Association (Singapore, Singapore, Sept. 14-18, 2014)
pp. 2088-2092.
International Speech Communication Association.
Cardinal, Patrick, Boulianne, Gilles et Comeau, Michel.
2005.
« Segmentation of recordings based on partial transcriptions ».
In Proceedings of the 9th European Conference on Speech Communication and Technology (Interspeech'2005-Eurospeech) (Lisbon, Portugal, Sept. 4-8, 2005)
pp. 3345-3348.
International Speech and Communication Association.
Cardinal, Patrick, Boulianne, Gilles et Dumouchel, Pierre.
2012.
« The A* speech recognition system on parallel architectures ».
In 2012 11th International Conference on Information Science, Signal Processing and their Applications (ISSPA) (Montreal, QC, Canada, July 2-5, 2012)
pp. 108-113.
Washington, DC : IEEE Computer Society.
Cardinal, Patrick, Boulianne, Gilles et Dumouchel, Pierre.
2012.
« Using A* for the parallelization of speech recognition systems ».
In 2012 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) (Kyoto, Japan, Mar. 25-30, 2012)
pp. 4433-4436.
Piscataway, NJ : Institute of Electrical and Electronics Engineers Inc..
Cardinal, Patrick, Dumouchel, Pierre et Boulianne, Gilles.
2013.
« Large vocabulary speech recognition on parallel architectures ».
IEEE Transactions on Audio, Speech, and Language Processing, vol. 21, nº 11.
pp. 2290-2300.
Cardinal, Patrick, Dumouchel, Pierre, Boulianne, Gilles et Comeau, Michel.
2008.
« GPU accelerated acoustics likelihood computations ».
In 9th Annual Conference of the International Speech Communication Association (INTERSPEECH) (Brisbane, Australia, Sept. 22-26, 2008)
pp. 964-967.
Bonn, Germany : International Speech Communication Association.
Cardinal, Patrick, Gupta, Vishwa et Boulianne, Gilles.
2010.
« Content-based advertisement detection ».
In INTERSPEECH 2010. 11th Annual Conference of the International Speech Communication Association (Chiba, Makuhari, Japan, Sept. 26-30, 2010)
pp. 2214-2217.
International Speech Communication Association.
Carneirodemelo, Wheidima, Granger, Eric G. et Bordallo Lopez, Miguel.
2023.
« MDN: A deep maximization-differentiation network for spatio-temporal depression detection ».
IEEE Transactions on Affective Computing, vol. 14, nº 1.
pp. 578-590.
Cavalin, P. R., de Souza Britto, A., Bortolozzi, F., Sabourin, Robert et Soares Oliveira, L. E..
2006.
« An implicit segmentation-based method for recognition of handwritten strings of characters ».
In ACM Symposium on Applied Computing (SAC) (Dijon, France, April 23-27, 2006)
pp. 836-840.
New York, NY, USA : ACM Press.
Cavalin, Paulo R., Sabourin, Robert et Suen, Ching Y..
2013.
« Dynamic selection approaches for multiple classifier systems ».
Neural Computing and Applications, vol. 22, nº 3-4.
pp. 673-688.
Cavalin, Paulo R., Sabourin, Robert, Suen, Ching Y. et Britto Jr., Alceu S..
2008.
« Evaluation of incremental learning algorithms for an HMM-based handwritten isolated digits recognizer ».
In 11th International Conference on Frontiers in Handwriting Recognition (ICFHR) (Montreal, Canada, Aug. 19-21, 2008)
Cavalin, Paulo Rodrigo, Sabourin, Robert et Suen, Ching Y..
2010.
« Dynamic selection of ensembles of classifiers using contextual information ».
In 9th International Workshop on Multiple Classifier Systems (MCS) (Cairo, Egypt, Apr. 7-9, 2010)
Coll. « Lecture Notes in Computer Science », vol. 5997.
pp. 145-154.
Berlin, Germany : Springer Verlag.
Cavalin, Paulo Rodrigo, Sabourin, Robert, Suen, Ching Y. et Britto, Alceu de Souza.
2009.
« Evaluation of incremental learning algorithms for HMM in the recognition of alphanumeric characters ».
Pattern Recognition, vol. 42, nº 12.
pp. 3241-3253.
Chabot, Philippe, Bouserhal, Rachel E., Cardinal, Patrick et Voix, Jérémie.
2021.
« Detection and classification of human-produced nonverbal audio events ».
Applied Acoustics, vol. 171.
Chaddad, A., Zhang, M., Desrosiers, C. et Niazi, T..
2020.
« Deep radiomic features from MRI scans predict survival outcome of recurrent glioblastoma ».
In 1st International Workshop on Radiomics and Radiogenomics in Neuro-oncology, RNO-AI 2019, held in conjunction with the 22nd International Conference on Medical Image Computing and Computer-Assisted Intervention, MICCAI 2019, October 13, 2019 - October 13, (Shenzen, China, Oct. 13, 2019)
Coll. « Lecture Notes in Computer Science », vol. 11991.
pp. 36-43.
Springer.
Chaddad, Ahmad, Daniel, Paul, Desrosiers, Christian, Toews, Matthew et Abdulkarim, Bassam.
2019.
« Novel radiomic features based on joint intensity matrices for predicting glioblastoma patient survival time ».
IEEE Journal of Biomedical and Health Informatics, vol. 23, nº 2.
pp. 795-804.
Chaddad, Ahmad, Daniel, Paul, Sabri, Siham, Desrosiers, Christian et Abdulkarim, Bassam.
2019.
« Integration of radiomic and multi-omic analyses predicts survival of newly diagnosed IDH1 wild-type glioblastoma ».
Cancers, vol. 11, nº 8.
Chaddad, Ahmad, Daniel, Paul, Zhang, Mingli, Rathore, Saima, Sargos, Paul, Desrosiers, Christian et Niazi, Tamim.
2022.
« Deep radiomic signature with immune cell markers predicts the survival of glioma patients ».
Neurocomputing, vol. 469.
pp. 366-375.
Chaddad, Ahmad, Desrosiers, Christian, Abdulkarim, Bassam et Niazi, Tamim.
2019.
« Predicting the gene status and survival outcome of lower grade glioma patients with multimodal MRI features ».
IEEE Access, vol. 7.
pp. 75976-75984.
Chaddad, Ahmad, Desrosiers, Christian, Bouridane, Ahmed, Toews, Matthew, Hassan, Lama et Tanougast, Camel.
2016.
« Multi texture analysis of colorectal cancer continuum using multispectral imagery ».
PLoS ONE, vol. 11, nº 2.
Chaddad, Ahmad, Desrosiers, Christian, Hassan, Lama et Tanougast, Camel.
2016.
« A quantitative study of shape descriptors from glioblastoma multiforme phenotypes for predicting survival outcome ».
British Journal of Radiology, vol. 89, nº 1068.
Chaddad, Ahmad, Desrosiers, Christian, Hassan, Lama et Tanougast, Camel.
2017.
« Hippocampus and amygdala radiomic biomarkers for the study of autism spectrum disorder ».
BMC Neuroscience, vol. 18, nº 1.
Chaddad, Ahmad, Desrosiers, Christian, Hassan, Lama et Toews, Matthew.
2016.
« Multispectral texture analysis of histopathological abnormalities in colorectal tissues ».
In IEEE International Conference on Image Processing (ICIP) (Phoenix, AZ, USA, Sept. 25-28, 2016)
pp. 2628-2632.
IEEE.
Chaddad, Ahmad, Desrosiers, Christian et Niazi, Tamim.
2018.
« Deep radiomic analysis of MRI related to Alzheimer's disease ».
IEEE Access, vol. 6.
pp. 58213-58221.
Chaddad, Ahmad, Desrosiers, Christian et Toews, Matthew.
2017.
« Multi-scale radiomic analysis of sub-cortical regions in MRI related to autism, gender and age ».
Scientific Reports, vol. 7.
Chaddad, Ahmad, Desrosiers, Christian, Toews, Matthew et Abdulkarim, Bassam.
2017.
« Predicting survival time of lung cancer patients using radiomic analysis ».
Oncotarget, vol. 8, nº 61.
pp. 104393-104407.
Chaddad, Ahmad, Hassan, Lama et Desrosiers, Christian.
2021.
« Deep CNN models for predicting COVID-19 in CT and X-ray images ».
Journal of Medical Imaging, vol. 8, nº suppl. 1.
Chaddad, Ahmad, Hassan, Lama et Desrosiers, Christian.
2022.
« Deep radiomic analysis for predicting coronavirus disease 2019 in computerized tomography and X-ray images ».
IEEE Transactions on Neural Networks and Learning Systems, vol. 33, nº 1.
pp. 3-11.
Chaddad, Ahmad, Kucharczyk, Michael J., Desrosiers, Christian, Okuwobi, Idowu Paul, Katib, Yousef, Zhang, Mingli, Rathore, Saima, Sargos, Paul et Niazi, Tamim.
2020.
« Deep radiomic analysis to predict gleason score in prostate cancer ».
IEEE Access, vol. 8.
pp. 167767-167778.
Chaddad, Ahmad, Li, Jiali, Lu, Qizong, Li, Yujie, Okuwobi, Idowu Paul, Tanougast, Camel, Desrosiers, Christian et Niazi, Tamim.
2021.
« Can autism be diagnosed with artificial intelligence? A narrative review ».
Diagnostics, vol. 11, nº 11.
Chaddad, Ahmad, Sargos, Paul et Desrosiers, Christian.
2021.
« Modeling texture in deep 3D CNN for survival analysis ».
IEEE Journal of Biomedical and Health Informatics, vol. 25, nº 7.
pp. 2454-2462.
Chaddad, Ahmad, Tan, Guina, Liang, Xiaojuan, Hassan, Lama, Rathore, Saima, Desrosiers, Christian, Katib, Yousef et Niazi, Tamim.
2023.
« Advancements in MRI-based radiomics and artificial intelligence for prostate cancer: A comprehensive review and future prospects ».
Cancers, vol. 15, nº 15.
Chaddad, Ahmad, Toews, Matthew, Desrosiers, Christian et Niazi, Tamim.
2019.
« Deep radiomic analysis based on modeling information flow in convolutional neural networks ».
IEEE Access, vol. 7.
pp. 97242-97252.
Chaddad, Ahmad, Wu, Yihang et Desrosiers, Christian.
2024.
« Federated learning for healthcare applications ».
IEEE Internet of Things Journal, vol. 11, nº 5.
pp. 7339-7358.
Chafik, A. et Noumeir, R..
2004.
« Modélisation du contrôle d'accès dans un système d'information médical ».
In Colloque de l'ACFAS (Montréal, QC, Canada, 2004)
Chakravorty, Tanushri, Bilodeau, Guillaume-Alexandre et Granger, Éric.
2014.
« Automatic image registration in infrared-visible videos using polygon vertices ».
arXiv. 7 p.
Chakravorty, Tanushri, Bilodeau, Guillaume-Alexandre et Granger, Éric.
2015.
« Contextual object tracker with structure encoding ».
In 2015 IEEE International Conference on Image Processing (ICIP) (Quebec City, QC, Canada, Sept. 27-30, 2015)
pp. 4937-4941.
IEEE.
Chakravorty, Tanushri, Bilodeau, Guillaume-Alexandre et Granger, Éric.
2020.
« Robust face tracking using multiple appearance models and graph relational learning ».
Machine Vision and Applications, vol. 31, nº 4.
Chakravorty, Tanushri, Bilodeau, Guillaume-Alexandre et Granger, Éric.
2018.
« Tracking using numerous anchor points ».
Machine Vision and Applications, vol. 29, nº 2.
pp. 247-261. Changizi, S., Ménard, L. et Laporte, C.. 2022. « Combining tongue and palate information for robust shape modeling in normal and impaired speech ». Communication lors de la conférence : Ultrafest X (Manchester, UK, Nov. 03-05, 2022).
Changizi, Sahba, Ménard, Lucie et Laporte, Catherine.
2021.
« A robust tongue shape model from ultrasound recordings of normal and impaired speech ».
[Résumé d'une communication à une conférence]. Journal of the Acoustical Society of America, vol. 150, nº 4.
A272. Changizi, Sahba, Ménard, Lucie et Laporte, Catherine. 2021. « A robust tongue shape model from ultrasound recordings of normal and impaired speech ». Affiche présentée lors de la conférence : 181st Meeting of the Acoustical Society of America (Seattle, WA, USA, Nov. 29-Dec. 03, 2021).
Chapon, Arthur, Pereira, Daniel, Toews, Matthew et Belanger, Pierre.
2021.
« Deconvolution of ultrasonic signals using a convolutional neural network ».
Ultrasonics, vol. 111.
Charbonneau, Marc-André, Granger, Éric et Gagnon, Ghyslain.
2016.
« Witness identification in multiple instance learning using random subspaces ».
In 23rd International Conference on Pattern Recognition (ICPR) (Cancún, México, Dec. 04-08, 2016)
pp. 3639-3644.
IEEE.
Charette Migneault, Francis, Granger, Eric et Mokhayeri, Fania.
2019.
« Using adaptive trackers for video face recognition from a single sample per person ».
In 8th International Conference on Image Processing Theory, Tools and Applications (IPTA 2018) - Proceedings (Xi'an, China, Nov. 7-10, 2018)
Institute of Electrical and Electronics Engineers Inc..
Chauvin, Laurent, Kumar, Kuldeep, Desrosiers, Christian, de Guise, Jacques et Toews, Matthew.
2018.
« Diffusion Orientation Histograms (DOH) for diffusion weighted image analysis ».
In Computational Diffusion MRI : MICCAI Workshop, Québec, Canada, September 2017 (Montreal, QC, Canada, Sept. 10, 2017)
Coll. « Mathematics and Visualization »
pp. 91-99.
Springer International Publishing.
Chauvin, Laurent, Kumar, Kuldeep, Desrosiers, Christian, De Guise, Jacques, Wells, William et Toews, Matthew.
2019.
« Analyzing brain morphology on the bag-of-features manifold ».
In Information Processing in Medical Imaging : 26th International Conference, IPMI : Proceedings (Hong Kong, China, June 02-07, 2019)
Coll. « Lecture Notes in Computer Science », vol. 11492.
pp. 45-56.
Springer Verlag.
Chauvin, Laurent, Kumar, Kuldeep, Desrosiers, Christian, Wells, William et Toews, Matthew.
2022.
« Efficient pairwise neuroimage analysis using the soft jaccard index and 3D keypoint sets ».
IEEE Transactions on Medical Imaging, vol. 41, nº 4.
pp. 836-845.
Chauvin, Laurent, Kumar, Kuldeep, Wachinger, Christian, Vangel, Marc, de Guise, Jacques, Desrosiers, Christian, Wells, William et Toews, Matthew.
2020.
« Neuroimage signature from salient keypoints is highly specific to individuals and shared by close relatives ».
NeuroImage, vol. 204.
Cheng, Jing Dong, Sun, Qiu Le, Zhang, Jian Xin, Desrosiers, Christian, Liu, Bin, Lu, Jian et Zhang, Qiang.
2019.
« Deep high-order supervised hashing ».
Optik, vol. 180.
pp. 847-857.
Cheraghalikhani, Milad, Noori, Mehrdad, Osowiechi, David, Hakim, Gustavo A. Vargas, Ben Ayed, Ismail et Desrosiers, Christian.
2024.
« Structure-aware feature stylization for domain generalization ».
Computer Vision and Image Understanding, vol. 244.
Cheriet, M..
1989.
« Implementation and optimization of a dictionary access system based on robustness features for multifont printed characters ».
In Fourth International Symposium on Computers and Information Sciences (Izmir, Turkey, Oct. 30-Nov. 1, 1989)
pp. 417-427.
Cheriet, M..
1989.
« Implementation and optimization of a dictionary access system based on the notion of graphisms and associated features for multifont printed characters ».
In Sixth Scandinavian Conference on Image Analysis (Oulu, Finland, June 19-22, 1989)
pp. 6007-6012.
Cheriet, M. et Crettez, J. P..
1989.
« Mise en oeuvre d'un opérateur de reconnaissance de caractères multifontes utilisant les notions de primitives associées et de graphiques ».
In 7e Congrès Reconnaissance des Formes et Intelligence Artificielle (Paris, France, 29 nov.-1 déc. 1989)
pp. 1483-1491.
AFCET.
Cheriet, M. et Crettez, J. P..
1989.
« Mise en oeuvre d'un processus de sélection de primitives robustes en vue de la reconnaissance de caractères multifontes ».
In Pixim 89, l'image numérique à Paris : actes du 2ème Colloque scientifique international, 25-29 septembre 1989, Palais des Congrès, Paris = Pixim 89, Computer graphics in Paris : proceedings of the 2th International Conference, September 25th-29th 1989 (Paris, France, 25-29 sept. 1989)
pp. 357-370.
Paris : Hermès.
Cheriet, M., Said, J. et Suen, C. Y..
1995.
« A formal model for document processing of business forms ».
In Proceedings of the third International Conference on Document Analysis and Recognition (Montreal, QC, Canada, Aug. 14-16, 1995)
pp. 210-213.
Los Alamitos, CA, USA : IEEE.
Cheriet, M., Said, J. et Suen, C. Y..
1995.
« A formal model for document processing: overview ».
In 5th Annual IRIS/PRECARN Conference (Vancouver, BC, Canada, June 13-15, 1995)
pp. 81-82.
Cheriet, M. et Suen, C. Y..
1991.
« Automated entry systems for handwritten documents ».
In RIAO 91 : Conference proceedings with presentation of prototypes and operational systems : Intelligent text and image handling (Barcelona, Spain, Apr. 2-5, 1991)
pp. 211-223.
Cheriet, M., Thibault, R. et Sabourin, R..
1994.
« Segmentation visuelle des caractères manuscrits ».
In 4th Annual IRIS/PRECARN Conference (Toronto, ON, Canada, 21-23 june, 1994)
pp. 148-149.
Cheriet, Mohamed.
1999.
« Extraction of handwritten data from noisy gray-level images using a multiscale approach ».
International Journal of Pattern Recognition and Artificial Intelligence, vol. 13, nº 5.
pp. 665-684.
Cheriet, Mohamed.
1999.
« Extraction of handwritten data from noisy gray-level images using a multiscale approach ».
In
Vision Interface : Real world applications of computer vision.
Coll. « Series in Machine Perception and Artificial Intelligence », vol. 35.
pp. 79-98. World Scientific.
Cheriet, Mohamed.
1993.
« Reading cursive script by parts ».
In IAPR Third International Workshop on Frontiers in Handwriting (Buffalo, NY, USA, May 25-27, 1993)
pp. 108-110.
Cheriet, Mohamed.
2003.
« Shock filters for character image enhancement and peeling ».
In Seventh International Conference on Document Analysis and Recognition (Edinburgh, Scotland, Aug. 3-6, 2003)
pp. 1247-1251.
Los Alamitos, CA, USA : Institute of Electrical and Electronics Engineers Computer Society.
Cheriet, Mohamed.
1994.
« Towards a visual recognition of cursive script ».
In Fundamentals in Handwriting Recognition (Toulouse, France, June 21-July 3rd, 1993)
Coll. « NATO ASI Series », vol. 124.
pp. 223-227.
Berlin, Germany : Springer-Verlag.
Cheriet, Mohamed.
2008.
« Visual recognition of Arabic handwriting : challenges and new directions ».
In Arabic and chinese handwriting recognition : SACH 2006 Summit College Park, MD, USA, September 27-28, 2006 : selected papers (College Park, MD, USA, Sept. 27-28, 2006)
Coll. « Lecture Notes in Computer Science », vol. 4768.
pp. 1-21.
Berlin, Heidelberg : Springer-Verlag.
Cheriet, Mohamed, Demers, Jean-Christophe et Deblois, Sylvain.
2005.
« Shock filter-based diffusion fields—application to grayscale character image processing ».
International Journal of Image and Graphics, vol. 5, nº 2.
Cheriet, Mohamed et Doré, Vincent.
2006.
« Amincissement-sans-segmentation et rehaussement des images de niveau de gris par un filtre de chocs utilisant des champs de diffusion ».
Traitement du Signal, vol. 23, nº 1.
pp. 79-94.
Cheriet, Mohamed et Farrahi Moghaddam, M..
2008.
« Degradation modeling and enhancement of low quality documents ».
In 5th International Workshop on Signal Processing and its Applications (WOSPA) (Sharjah, United Arab Emirates, Mar. 18-20, 2008)
Cheriet, Mohamed et Farrahi Moghaddam, R..
2008.
« Processing of low quality document images : issues and directions ».
In 16th European Signal Processing Conference (EUSIPCO) (Lausanne, Switzerland, Aug. 25-29, 2008)
[Kessariani]; Lausanne : European Association for Signal Processing ; École polytechnique fédérale de Lausanne.
Cheriet, Mohamed, Huang, Y. S. et Suen, C. Y..
1992.
« Background region-based algorithm for the segmentation of connected digits ».
In 11th IAPR International Conference on Pattern Recognition : August 30-September 3, 1992, the Hague, the Netherlands : proceedings (The Hague, Netherlands, Aug. 30-Sept. 3, 1992)
pp. 619-622.
Los Alamitos, CA, USA : Institute of Electrical and Electronics Engineers (IEEE).
Cheriet, Mohamed, Kharma, Nawwaf, Liu, Cheng-Lin et Suen, Ching.
2007.
« Character recognition systems : a guide for students and practioners ».
Hoboken, N.J., USA : Wiley-Interscience. 326 p.
Cheriet, Mohamed, Miled, H. et Olivier, Claude.
1998.
« Visual aspect of cursive arabic handwriting recognition ».
In Vision Interface Conference (Vancouver, Canada, June 18-20, 1998)
pp. 263-270.
Toronto, Canada : Canadian Image Processing and Pattern Recognition Society.
Cheriet, Mohamed et Moghaddam, Reza Farrahi.
2008.
« DIAR: advances in degradation modeling and processing ».
In Image Analysis and Recognition : 5th International Conference, ICIAR 2008, Povoa de Varzim, Portugal, June 25-27, 2008 : Proceedings (Povoa de Varzim, Portugal, June 25-27, 2008)
Coll. « Lecture Notes in Computer Science », vol. 5112.
pp. 1-10.
Berlin, Germany : Springer Verlag.
Cheriet, Mohamed, Nadal, C. et Suen, Ching Y..
1993.
« Visual aspect of handwriting recognition ».
In 6th International Conference on Handwriting and Drawing (ICOHD) (Paris, France, July 4-7, 1993)
pp. 403-408.
Cheriet, Mohamed et Remaki, L..
2003.
« Enhanced and restored signals as a generalized solution for shock filter models. Part II - numerical study ».
Journal of Mathematical Analysis and Applications, vol. 279, nº 2.
pp. 398-417.
Cheriet, Mohamed, Said, J. N. et Suen, C. Y..
1998.
« A recursive thresholding technique for image segmentation ».
IEEE Transactions on Image Processing, vol. 7, nº 6.
pp. 918-921.
Cheriet, Mohamed, Said, J.N. et Suen, Ching Y..
1997.
« Un modèle formel pour le traitement de données visuelles sur des formulaires d’affaires et documents manuscrits ».
In Les techniques d'intelligence artificielle appliquées aux technologies de l'information (Montréal, QC, Canada, 15-16 mai 1997)
Coll. « Cahiers Scientifiques », vol. 90.
pp. 172-183.
Montréal : Association canadienne-française pour l'avancement des sciences.
Cheriet, Mohamed, Thibault, R. et Sabourin, Robert.
1994.
« A multi-resolution based approach for handwriting segmentation in gray-scale images ».
In IEEE International Conference Image Processing (ICIP) (Austin, TX, USA, Nov. 13-16, 1994)
pp. 159-163.
Los Alamitos, CA, USA : Institute of Electrical and Electronics Engineers Computer Society.
Chherawala, Y., Gagnon, O., Lepage, Richard et Doyon, G..
2007.
« Impact de la variation des paramètres scéniques sur la fidélité colorimétrique d'images numériques de denrées alimentaires ».
In Actes des 5e Ateliers sur Traitement et Analyse de l'Information : Méthodes et Applications (TAIMA) (Hammamet, Tunisie, 23-26 mai 2007)
pp. 325-330.
Chiaroni, Florent, Boudiaf, Malik, Mitiche, Amar et Ben Ayed, Ismail.
2024.
« Simplex clustering via sBeta with applications to online adjustment of black-box predictions ».
IEEE Transactions on Pattern Analysis and Machine Intelligence.
Chiaroni, Florent, Dolz, Jose, Masud, Ziko Imtiaz, Mitiche, Amar et Ben Ayed, Ismail.
2023.
« Parametric information maximization for generalized category discovery ».
In IEEE/CVF International Conference on Computer Vision (ICCV) (Paris, France, Oct. 01-06, 2023)
pp. 1729-1739.
Institute of Electrical and Electronics Engineers Inc.. Chion, C., Lamontagne, P., Turgeon, S., Parrott, L., Landry, Jacques-André, Marceau, D., Michaud, R., Ménard, N. et Albuquerque, C.. 2008. « Pattern-oriented modeling strategy to elaborate a spatially explicit agent-based model dynamically guided by human decision-making ». Communication lors de la conférence : International Conference on Ecological Informatics 6 (ICEI) (Cancun, Mexico, Dec. 2-5, 2008). Chion, C., Turgeon, S., Landry, Jacques-André, Parrott, L., Marceau, D., Michaud, R., Cantin, G. et Dionne, S.. 2007. « Agent-based modelling of whale-watching cruise operators’ behaviour using a cognitive approach ». Communication lors de la conférence : International Conference on Complex Systems (ICCS) (Boston, MA, USA, Oct. 28-Nov. 2, 2007).
Chion, Clément, Da Costa, Luis E. et Landry, Jacques-André.
2006.
« Genetic programming for agricultural purposes ».
In 8th annual conference on Genetic and Evolutionary Computation Conference (GECCO) (Seattle, WA, USA, Jul. 8-12, 2006)
pp. 783-789.
New York, NY, USA : ACM Press.
Chion, Clement, Landry, Jacques-André et Da Costa, Luis.
2008.
« A genetic-programming-based method for hyperspectral data information extraction: Agricultural applications ».
IEEE Transactions on Geoscience and Remote Sensing, vol. 46, nº 8.
pp. 2446-2457.
Chossat, Jean-Baptiste, Maslyczyk, Alexis, Lavertu, Jean-Simon et Duchaine, Vincent.
2018.
« The programmable permanent magnet actuator: A paradigm shift in efficiency for low-speed torque-holding robotic applications ».
IEEE Robotics and Automation Letters, vol. 3, nº 3.
pp. 1751-1758.
Chouman, Hussein, Djukic, Petar, Tremblay, Christine et Desrosiers, Christian.
2021.
« Forecasting lightpath QoT with deep neural networks ».
In Optical Fiber Communications Conference and Exhibition (OFC) - Proceedings (San Francisco, CA, USA, June 06-10, 2021)
IEEE.
Clement Allognon, Sevegni Odilon, De Britto, Alceu S. et Lameiras Koerich, Alessandro.
2020.
« Continuous emotion recognition via deep convolutional autoencoder and support vector regressor ».
In International Joint Conference on Neural Networks (IJCNN) (Glasgow, United Kingdom, July 19-24, 2020)
Institute of Electrical and Electronics Engineers Inc..
Cockburn, Deen, Roberge, Jean-Philippe, Thuy-Hong-Loan, Le, Maslyczyk, Alexis et Duchaine, Vincent.
2017.
« Grasp stability assessment through unsupervised feature learning of tactile images ».
In 2017 IEEE International Conference on Robotics and Automation (ICRA) (Singapore, Singapore, May 29- June 03, 2017)
pp. 2238-2244.
Piscataway, NJ, USA : IEEE.
Coetzer, Hanno et Sabourin, Robert.
2007.
« A human-centric off-line signature verification system ».
In 9th International Conference on Document Analysis and Recognition (ICDAR) (Curitiba, Brazil, Sept. 23-26, 2007)
pp. 153-157.
Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers.
Coetzer, Johannes, Swanepoel, Jacques P. et Sabourin, Robert.
2021.
« Optimal human-machine collaboration for enhanced cost-sensitive biometric authentication ».
SAIEE Africa Research Journal, vol. 112, nº 2.
pp. 110-119.
Coetzer, Johannes, Swanepoel, Jacques et Sabourin, Robert.
2020.
« Dynamic fusion of human and machine decisions for efficient cost-sensitive biometric authentication ».
In International SAUPEC/RobMech/PRASA Conference (SAUPEC/RobMech/PRASA) (Cape Town, South Africa, Jan. 29-31, 2020)
IEEE.
Coetzer, Johannes, Swanepoel, Jacques et Sabourin, Robert.
2012.
« Efficient cost-sensitive human-machine collaboration for offline signature verification ».
In Document Recognition and Retrieval XIX (Burlingame, CA, USA, Jan. 25-26, 2012 )
Coll. « Proceedings of SPIE », vol. 8297.
Burlingame, CA, USA : SPIE.
Colombo, Pierre, Pellegrain, Victor, Boudiaf, Malik, Storchan, Victor, Tami, Myriam, Ben Ayed, Ismail, Hudelot, Celine et Piantanida, Pablo.
2023.
« Transductive learning for textual few-shot classification in API-based embedding models ».
In Conference on Empirical Methods in Natural Language Processing (EMNLP) (Singapore, Singapore, Dec. 06-10, 2023)
pp. 4214-4231.
Association for Computational Linguistics (ACL).
Colrain, M., Goldstone, A., Forouzanfar, M., Baker, F. C., Claudatos, S., Gil, M., Alschuler, V., Lim, Y. Q., Rosas, L., Prouty, D. et de Zambotti, M..
2018.
« Effect of evening alcohol intake on nocturnal cardiovascular function in normal adults ».
Alcoholism: Clinical and Experimental Research, vol. 42, nº suppl. 1.
Communier, D., Botez, R. M. et Wong, T..
2019.
« Experimental validation of a new morphing trailing edge system using Price – Païdoussis wind tunnel tests ».
Chinese Journal of Aeronautics, vol. 32, nº 6.
pp. 1353-1366.
Communier, David, Le Besnerais, Franck, Botez, Ruxandra Mihaela et Wong, Tony.
2019.
« Design, manufacturing, and testing of a new concept for a morphing leading edge using a subsonic blow down wind tunnel ».
Biomimetics, vol. 4, nº 4.
Connolly, J. F., Granger, E. et Sabourin, R..
2012.
« Evolution of heterogeneous ensembles through dynamic particle swarm optimization for video-based face recognition ».
Pattern Recognition, vol. 45, nº 7.
pp. 2460-2477.
Connolly, Jean-François, Granger, Éric et Sabourin, Robert.
2012.
« An adaptive classification system for video-based face recognition ».
Information Sciences, vol. 192.
pp. 50-70.
Connolly, Jean-François, Granger, Éric et Sabourin, Robert.
2010.
« An adaptive ensemble of fuzzy ARTMAP neural networks for video-based face classification ».
In IEEE Congress on Evolutionary Computation (Barcelona, Spain, July 18-23, 2010)
Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers.
Connolly, Jean-François, Granger, Éric et Sabourin, Robert.
2011.
« Comparing dynamic PSO algorithms for adapting classifier ensembles in video-based face recognition ».
In IEEE Workshop on Computational Intelligence in Biometrics and Identity Management (CIBIM) (Paris, France, Apr. 11-15, 2011)
pp. 1-8.
Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers.
Connolly, Jean-François, Granger, Eric et Sabourin, Robert.
2013.
« Dynamic multi-objective evolution of classifier ensembles for video face recognition ».
Applied Soft Computing, vol. 13, nº 6.
pp. 3149-3166.
Connolly, Jean-François, Granger, Éric et Sabourin, Robert.
2013.
« Evolving classifier ensembles using dynamic multi-objective swarm intelligence ».
In Proceedings of the 2nd International Conference on Pattern Recognition Applications and Methods (Barcelona, Spain, Feb. 15-18, 2013)
pp. 206-215.
SciTePress.
Connolly, Jean-François, Granger, Éric et Sabourin, Robert.
2009.
« Incremental adaptation of fuzzy ARTMAP neural networks for video-based face classification ».
In IEEE Symposium on Computational Intelligence for Security and Defense Applications (CISDA) (Ottawa, Ont., Canada, July 8-10, 2009)
Washington, D.C. : Institute of Electrical and Electronics Engineers Computer Society.
Connolly, Jean-François, Granger, Éric et Sabourin, Robert.
2012.
« On the correlation between genotype and classifier diversity ».
In 21st International Conference on Pattern Recognition (ICPR) (Tsukuba, Japan, Nov. 11-15, 2012)
pp. 1068-1071.
Piscataway, NJ : Institute of Electrical and Electronics Engineers Inc..
Connolly, Jean-François, Granger, Éric et Sabourin, Robert.
2008.
« Supervised incremental learning with the fuzzy ARTMAP neural network ».
In Artificial Neural Networks in Pattern Recognition. Third IAPR Workshop (ANNPR) (Paris, France, Jul. 2-4, 2008)
Coll. « Lecture Notes in Computer Science », vol. 5064.
pp. 66-77.
Berlin, Germany : Springer Verlag.
Cordeiro, Paulo R. G., Cavalcanti, George D. C. et Cruz, Rafael M. O..
2023.
« A post-selection algorithm for improving dynamic ensemble selection methods ».
In IEEE International Conference on Systems, Man and Cybernetics (Honolulu, HI, USA, Oct. 01-04, 2023)
pp. 1142-1147.
Institute of Electrical and Electronics Engineers Inc..
Cordeiro, Paulo R. G., Cavalcanti, George D. C. et Cruz, Rafael M. O..
2023.
« Dynamic ensemble algorithm post-selection using hardness-aware oracle ».
IEEE Access, vol. 11.
pp. 86056-86070.
Correia, Suzete E. N., De Carvalho, Joao M. et Sabourin, Robert.
2002.
« Human-perception handwritten character recognition using wavelets ».
In 15th Brazilian Symposium on Computer Graphics and Image Processing (Fortaleza, Ceara, Brazil, Oct. 7-10, 2002)
p. 404.
Los Alamitos, CA, USA : Institute of Electrical and Electronics Engineers Computer Society.
Correia, Suzete E. N., De Carvalho, Joao M. et Sabourin, Robert.
2002.
« On the performance of wavelets for handwritten numerals recognition ».
In 16th International Conference on Pattern Recognition (ICPR) (Quebec City, Canada, Aug. 11-15, 2002)
pp. 127-130.
Los Alamitos, CA, USA : Institute of Electrical and Electronics Engineers Computer Society.
Corriveau, Guillaume, Guilbault, Raynald, Tahan, Antoine et Sabourin, R..
2015.
« Evaluation of genotypic diversity measurements exploited in real-coded representation ».
arXiv. 13 p.
Corriveau, Guillaume, Guilbault, Raynald, Tahan, Antoine et Sabourin, Robert.
2016.
« Bayesian network as an adaptive parameter setting approach for genetic algorithms ».
Complex & Intelligent Systems, vol. 2, nº 1.
pp. 1-22.
Corriveau, Guillaume, Guilbault, Raynald, Tahan, Antoine et Sabourin, Robert.
2012.
« Review and study of genotypic diversity measures for real-coded representations ».
IEEE Transactions on Evolutionary Computation, vol. 16, nº 5.
pp. 695-710.
Corriveau, Guillaume, Guilbault, Raynald, Tahan, Antoine et Sabourin, Robert.
2013.
« Review of phenotypic diversity formulations for diagnostic tool ».
Applied Soft Computing, vol. 13, nº 1.
pp. 9-26.
Cossetin, Marcelo J., Nievola, Julio C. et L. Koerich, Alessandro.
2016.
« Facial expression recognition using a pairwise feature selection and classification approach ».
In 2016 International Joint Conference on Neural Networks (IJCNN) (Vancouver, BC, Canada, July 24-29, 2016)
pp. 5149-5155.
IEEE.
Côté, M., Cheriet, M., Lecolinet, E. et Suen, C. Y..
1997.
« Automatic reading of cursive scripts using human knowledge ».
In Proceedings of the Fourth International Conference on Document Analysis and Recognition (Ulm, Germany, Aug. 18-20, 1997)
pp. 107-111.
Los Alamitos, CA, USA : International Association for Pattern Recognition.
Côté, M., Lecolinet, E., Cheriet, M. et Suen, C. Y..
1995.
« Building a perception based model for reading cursive script ».
In Proceedings of the third International Conference on Document Analysis and Recognition (Montreal, QC, Canada, Aug. 14-16, 1995)
pp. 898-901.
Los Alamitos, CA, USA : IEEE.
Coté, M., Lecolinet, E., Cheriet, M. et Suen, C. Y..
1995.
« Building a perception based model for reading cursive script ».
In 5th Annual IRIS*PRECARN Conference (Vancouver, BC, Canada, June 13-15, 1995)
pp. 75-76.
Côté, M., Lecolinet, E., Cheriet, M. et Suen, C. Y..
1995.
« Using reading models for cursive script recognition ».
In 7th IGS conference (London, ON, Canada, Aug. 6-10, 1995)
pp. 75-76.
Coté, M., Lecolinet, E., Cheriet, Mohamed et Suen, Ching Y..
1998.
« Automatic reading of cursive scripts using a reading model and perceptual concepts : the PERFECTO system ».
International Journal on Document Analysis and Recognition, vol. 1, nº 1.
pp. 3-17.
Côté, Marc-Alexis, Cheriet, Mohamed, Suen, Ching Y. et Lecolinet, E..
1997.
« Détection des lignes de référence de mots cursifs à l’aide de l’entropie ».
In Les techniques d'intelligence artificielle appliquées aux technologies de l'information (Montréal, QC, Canada, 15-16 mai 1997)
Coll. « Cahiers Scientifiques », vol. 90.
pp. 184-193.
Montréal : Association canadienne-française pour l'avancement des sciences.
Côté, Marc-Alexis, Lecolinet, E., Cheriet, Mohamed et Suen, Ching Y..
1997.
« Lecture automatique d’écriture cursive utilisant des concepts perceptifs ».
In Les techniques d'intelligence artificielle appliquées aux technologies de l'information (Montréal, QC, Canada, 15-16 mai 1997)
Coll. « Cahiers Scientifiques », vol. 90.
pp. 131-140.
Montréal : Association canadienne-française pour l'avancement des sciences.
Côté, Myriam, Lecolinet, Eric, Cheriet, Mohamed et Suen, Ching Y..
1996.
« Using reading models for cursive script recognition ».
In
Handwriting and drawing research : basic and applied issues.
pp. 299-313. Amsterdam; Washington, DC; Tokyo : IOS Press ; Ohmsha.
Côté, Pascal, Parrott, Lael et Sabourin, Robert.
2007.
« Multi-objective optimization of an ecological assembly model ».
Ecological Informatics, vol. 2, nº 1.
pp. 23-31.
Côté, Pascal, Wong, Tony et Sabourin, Robert.
2005.
« A hybrid multi-objective evolutionary algorithm for the uncapacitated exam proximity problem ».
In Practice and Theory of Automated Timetabling V : 5th International Conference, PATAT 2004, Pittsburgh, PA, USA, August 18-20, 2004, Revised Selected Papers (Pittsburgh, PA, USA, Aug. 18-20, 2004)
Coll. « Lecture Notes in Computer Science », vol. 3616.
pp. 294-312.
Berlin, Germany : Springer-Verlag.
Côté, Pascal, Wong, Tony et Sabourin, Robert.
2004.
« Application of a hybrid multi-objective evolutionary algorithm to the uncapacitated exam proximity problem ».
In The Practice and Theory of Automated Timetabling V : 5th International Conference on Practice and Theory of Automated Timetabling (PATAT) (Pittsburgh, PA, USA, Aug. 18-20, 2004)
pp. 151-168.
Crevier, Daniel.
1993.
« AI : the tumultuous history of the search for artificial intelligence ».
USA : Basic Books. 386 p.
Crevier, Daniel, Benzouane, Abdenour, Parthasarathy, Guturu et Lepage, Richard.
1997.
« La segmentation d'images par système à base de connaissances ».
In Les techniques d'intelligence artificielle appliquées aux technologies de l'information (Montréal, QC, Canada, 15-16 mai 1997)
Coll. « Cahiers Scientifiques », vol. 90.
pp. 36-46.
Montréal : Association canadienne-française pour l'avancement des sciences.
Crevier, Daniel et Lepage, Richard.
1997.
« Knowledge-based image understanding systems : a survey ».
Computer Vision and Image Understanding, vol. 67, nº 2.
pp. 161-185.
Crevier, Daniel, Yoo, Hoi J. et Lepage, Richard.
1995.
« Une structure à base de connaissances pour l'extraction du dessin au trait des images monochromes ».
Revue d'Intelligence Artificielle, vol. 9, nº 2.
pp. 191-215.
Cruz, R. M. O., Cavalcanti, G. D. C., Ing Ren, Tsang et Sabourin, Robert.
2013.
« Feature representation selection based on Classifier Projection Space and Oracle analysis ».
Expert Systems with Applications, vol. 40, nº 9.
pp. 3813-3827.
Cruz, R. M. O., Sabourin, Robert et Cavalcanti, G. D. C..
2014.
« On meta-learning for dynamic ensemble selection ».
In 2014 22nd International Conference on Pattern Recognition (ICPR) (Stockholm, Sweden, Aug. 24-28, 2014)
pp. 1230-1235.
Los Alamitos, CA, USA : IEEE Computer Society.
Cruz, Rafael M. O., Cavalcanti, George D. C. et Ing Ren, Tsang.
2011.
« A method for dynamic ensemble selection based on a filter and an adaptive distance to improve the quality of the regions of competence ».
In International Joint Conference on Neural Networks (San Jose, CA, USA, July 31-Aug. 05, 2011)
pp. 1126-1133.
IEEE.
Cruz, Rafael M. O., Cavalcanti, George D. C. et Ren, Tsang Ing.
2010.
« An ensemble classifier for offline cursive character recognition using multiple feature extraction techniques ».
In International Joint Conference on Neural Networks (IJCNN) (Barcelona, Spain, July 18-23, 2010)
IEEE.
Cruz, Rafael M. O., Cavalcanti, George D. C. et Ren, Tsang Ing.
2010.
« Handwritten digit recognition using multiple feature extraction techniques and classifier ensemble ».
In IWSSIP 2010 - 17th International Conference on Systems, Signals and Image Processing (Rio de Janeiro, Brazil, June 17-19, 2010)
pp. 215-218.
IWSSIP.
Cruz, Rafael M. O., de Sousa, Woshington V. et Cavalcanti, George D. C..
2022.
« Selecting and combining complementary feature representations and classifiers for hate speech detection ».
Online Social Networks and Media, vol. 28.
Cruz, Rafael M. O., Hafemann, Luiz G., Sabourin, Robert et Cavalcanti, George D. C..
2020.
« DESlib: A dynamic ensemble selection library in python ».
Journal of Machine Learning Research, vol. 21.
Cruz, Rafael M. O., Oliveira, Dayvid V. R., Cavalcanti, George D. C. et Sabourin, Robert.
2019.
« FIRE-DES++: Enhanced online pruning of base classifiers for dynamic ensemble selection ».
Pattern Recognition, vol. 85.
pp. 149-160.
Cruz, Rafael M. O., Sabourin, Robert et Cavalcanti, George D. C..
2015.
« A DEEP analysis of the META-DES framework for dynamic selection of ensemble of classifiers ».
arXiv. 47 p.
Cruz, Rafael M. O., Sabourin, Robert et Cavalcanti, George D. C..
2017.
« Analyzing different prototype selection techniques for dynamic classifier and ensemble selection ».
In International Joint Conference on Neural Networks (Anchorage, AK, USA, May 14-19, 2017)
pp. 3959-3966.
IEEE.
Cruz, Rafael M. O., Sabourin, Robert et Cavalcanti, George D. C..
2014.
« Analyzing dynamic ensemble selection techniques using dissimilarity analysis ».
In Artificial Neural Networks in Pattern Recognition : 6th IAPR TC 3 International Workshop, ANNPR 2014, Montreal, QC, Canada, October 6-8, 2014. Proceedings (Montreal, QC, Canada, Oct. 6-8, 2014)
Coll. « Lecture Notes in Computer Science », vol. 8774.
pp. 59-70.
Cham, Switzerland : Springer International Publishing.
Cruz, Rafael M. O., Sabourin, Robert et Cavalcanti, George D. C..
2018.
« Dynamic classifier selection: Recent advances and perspectives ».
Information Fusion, vol. 41.
pp. 195-216.
Cruz, Rafael M. O., Sabourin, Robert et Cavalcanti, George D. C..
2015.
« META-DES.H: A dynamic ensemble selection technique using meta-learning and a dynamic weighting approach ».
In 2015 International Joint Conference on Neural Networks (IJCNN) (Killarney, Ireland, July 12-17, 2015)
Piscataway, NJ, USA : IEEE.
Cruz, Rafael M. O., Sabourin, Robert et Cavalcanti, George D. C..
2017.
« META-DES.Oracle: Meta-learning and feature selection for dynamic ensemble selection ».
Information Fusion, vol. 38.
pp. 84-103.
Cruz, Rafael M. O., Sabourin, Robert et Cavalcanti, George D. C..
2018.
« Prototype selection for dynamic classifier and ensemble selection ».
Neural Computing and Applications, vol. 29, nº 2.
pp. 447-457.
Cruz, Rafael M. O., Sabourin, Robert, Cavalcanti, George D. C. et Ing Ren, Tsang.
2015.
« META-DES: A dynamic ensemble selection framework using meta-learning ».
Pattern Recognition, vol. 48, nº 5.
pp. 1925-1935.
Cruz, Rafael M. O., Souza, Mariana A., Sabourin, Robert et Cavalcanti, George D. C..
2019.
« Dynamic ensemble selection and data preprocessing for multi-class imbalance learning ».
International Journal of Pattern Recognition and Artificial Intelligence, vol. 33, nº 11.
Cruz, Rafael M. O., Zakane, Hiba H., Sabourin, Robert et Cavalcanti, George D. C..
2017.
« Dynamic ensemble selection VS K-NN: why and when dynamic selection obtains higher classification performance? ».
In Seventh International Conference on Image Processing Theory, Tools and Applications (IPTA 2017) (Montréal, QC, Canada, 28 nov. - 1er dec. 2017)
Piscataway, NJ, USA : IEEE. Da Costa, L. et Landry, Jacques-André. 2004. « A convivial visualization environment for Lsystems ». Communication lors de la conférence : Fractal 2004 : Complexity and Fractals in Nature (Vancouver, BC, Canada, Apr. 4-7, 2004). Da Costa, L. et Landry, Jacques-André. 2004. « Synthesis of fractal models for plants and trees : first results ». Communication lors de la conférence : Fractal 2004 : Complexity and Fractals in Nature (Vancouver, BC, Canada, Apr. 4-7, 2004).
Da Costa, Luis E. et Landry, Jacques-André.
2006.
« Relaxed genetic programming ».
In 8th annual conference on Genetic and Evolutionary Computation Conference (GECCO) (Seattle, WA, USA, July 8-12, 2006)
pp. 937-938.
New York, NY, USA : ACM Press.
Da Costa, Luis et Landry, Jacques-André.
2005.
« Generating grammatical plant models with genetic algorithms ».
In Adaptive and Natural Computing Algorithms: Proceedings of the International Conference in Coimbra, Portugal, 2005 (Coimbra, Portugal, March 21-23, 2005)
pp. 230-234.
Vienna : Springer-Verlag/Wien.
Da Costa, Luis, Landry, Jacques-André et Levasseur, Yan.
2008.
« Treating noisy data sets with relaxed genetic programming ».
In Artificial Evolution : 8th International Conference, Evolution Artificielle, EA 2007, Tours, France, October 29-31, 2007, Revised Selected papers (Tours, France, Oct. 29-31, 2007)
Coll. « Lecture Notes in Computer Science », vol. 4926.
pp. 1-12.
Berlin, Germany : Springer-Verlag.
Da S. Dias, Caio, De S. Britto, Alceu, Barddal, Jean P., Heutte, Laurent et Koerich, Alessandro L..
2022.
« Pattern spotting and image retrieval in historical documents using deep hashing ».
In IEEE International Conference on Systems, Man, and Cybernetics (SMC) (Prague, Czech Republic, Oct. 09-12, 2022)
pp. 2869-2875.
Institute of Electrical and Electronics Engineers Inc.. Dahmani, J., Petit, Y., Laporte, C., Pageau, K., Brown, M., Séguin, M. et Kuznetsov, L.. 2017. « Model-based correction of ultrasound image deformations due to probe pressure : towards experimental validation ». Communication lors de la conférence : 3rd IEEE Research Boost "Give your research an industrial edge" (Montreal, QC, Canada, Nov. 02, 2017).
Dahmani, Jawad, Laporte, Catherine, Pereira, Daniel, Bélanger, Pierre et Petit, Yvan.
2020.
« Predictive model for designing soft-tissue mimicking ultrasound phantoms with adjustable elasticity ».
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, vol. 67, nº 4.
pp. 715-726.
Dahmani, Jawad, Petit, Yvan et Laporte, Catherine.
2017.
« Model-based correction of ultrasound image deformations due to probe pressure ».
In Medical Imaging 2017: Image Processing (Orlando, FL, USA, Feb. 11-16, 2017)
Coll. « Proceedings of SPIE », vol. 10133.
SPIE.
Dahmani, Jawad, Petit, Yvan et Laporte, Catherine.
2024.
« Quantitative validation of two model-based methods for the correction of probe pressure deformation in ultrasound ».
International Journal of Computer Assisted Radiology and Surgery, vol. 19, nº 2.
pp. 309-320.
Dargahi-Zarandi, Atefeh, Hemmati-Sarapardeh, Abdolhossein, Shateri, Mohammadhadi, Menad, Nait Amar et Ahmadi, Mohammad.
2020.
« Modeling minimum miscibility pressure of pure/impure CO2-crude oil systems using adaptive boosting support vector regression: Application to gas injection processes ».
Journal of Petroleum Science and Engineering, vol. 184.
Davtalab, Reza, Cruz, Rafael M. O. et Sabourin, Robert.
2024.
« A scalable dynamic ensemble selection using fuzzy hyperboxes ».
Information Fusion, vol. 102.
Davtalab, Reza, Cruz, Rafael M. O. et Sabourin, Robert.
2022.
« Dynamic ensemble selection using fuzzy hyperboxes ».
In International Joint Conference on Neural Networks (IJCNN) (Padua, Italy, July 18-23, 2022)
IEEE.
de Almendra Freitas, C. O., El Yacoubi, A., Bortolozzi, F. et Sabourin, R..
2000.
« Brazilian bank check handwritten legal amount recognition ».
In 13th Brazilian Symposium on Computer Graphics and Image Processing (Gramado, Brazil, Oct 17-20, 2000)
pp. 97-104.
IEEE Computer Society.
de Amorim, Lucas B. V., Cavalcanti, George D. C. et Cruz, Rafael M. O..
2024.
« Meta-scaler: A meta-learning framework for the selection of scaling techniques ».
IEEE Transactions on Neural Networks and Learning Systems.
de Amorim, Lucas B. V., Cavalcanti, George D. C. et Cruz, Rafael M. O..
2023.
« The choice of scaling technique matters for classification performance ».
Applied Soft Computing, vol. 133.
de Araujo Souza, Mariana, Sabourin, Robert, da Cunha Cavalcanti, George Darmiton et Cruz, Rafael Menelau Oliveira E..
2023.
« GNN-DES: A new end-to-end dynamic ensemble selection method based on multi-label graph neural network ».
In Graph-Based Representations in Pattern Recognition : 13th IAPR-TC-15 International Workshop, GbRPR, Proceedings (Vietri sul Mare, Italy, Sept. 06-08, 2023)
Coll. « Lecture Notes in Computer Science », vol. 14121.
pp. 59-69.
Springer Science and Business Media.
de Guise, Jacques A., Potvin, J., Sabourin, Robert et Dansereau, Jean.
1993.
« A radiographic knowledge based system for the localization of scoliotic vertebral anatomical landmarks ».
In Fourth International Symposium on Computer Simulation in Biomechanics (Montlignon, Paris, June 30-July 2, 1993)
1/10-11/13.
de Guise, Jacques A., Sabourin, Robert et Lalonde, J.L..
1992.
« A stereocorrespondance method for the 3D reconstruction of the scoliotic spine and rib cage ».
In International Symposium on 3-d Scoliotic Deformities : joined with the VIIth International Symposium on Spinal Deformity and Surface Topography (Montreal, QC, Canada, June 27-30, 1992)
pp. 376-380.
Montréal, Québec : Editions de l'école polytechnique de Montréal ; Stuttgart : G. Fischer Verlag.
De La Torre, Miguel, Granger, Éric et Sabourin, Robert.
2015.
« Adaptive skew-sensitive fusion of ensembles and their application to face re-identification ».
In International Joint Conference on Neural Networks 2015 (Killarney, Ireland, July 12-17, 2015)
de Matos, Jonathan, Ataky, Steve Tsham Mpinda, Britto, Alceu de Souza, de Oliveira, Luiz Eduardo Soares et Lameiras Koerich, Alessandro.
2021.
« Machine learning methods for histopathological image analysis: A review ».
Electronics, vol. 10, nº 5.
de Matos, Jonathan, de Oliveira, Luiz Eduardo Soares, de Souza Britto Junior, Alceu et Koerich, Alessandro Lameiras.
2023.
« Large-margin representation learning for texture classification ».
Pattern Recognition Letters, vol. 170.
pp. 39-47.
de Matos, Jonathan, de S. Britto Jr, Alceu, de Oliveira, Luiz E. S. et L. Koerich, Alessandro.
2019.
« Texture CNN for histopathological image classification ».
In IEEE 32nd International Symposium on Computer-Based Medical Systems (CBMS) (Cordoba, Spain, June 05-07, 2019)
pp. 580-583.
Los Alamitos, CA, USA : IEEE Computer Society.
de Matos, Jonathan, de S. Britto, Alceu Jr., Oliveira, Luiz E. S. et Koerich, Alessandro L..
2019.
« Double transfer learning for breast cancer histopathologic image classification ».
In International Joint Conference on Neural Networks (IJCNN) (Budapest, Hungary, July 14-19, 2019)
Piscataway, NJ, USA : IEEE.
de Melo, Wheidima Carneiro, Granger, Eric et Hadid, Abdenour.
2022.
« A deep multiscale spatiotemporal network for assessing depression from facial dynamics ».
IEEE Transactions on Affective Computing, vol. 13, nº 3.
de Melo, Wheidima Carneiro, Granger, Eric et Hadid, Abdenour.
2019.
« Combining global and local convolutional 3D networks for detecting depression from facial expressions ».
In 14th IEEE International Conference on Automatic Face and Gesture Recognition (FG): Proceedings (Lille, France, May 14-18, 2019)
Institute of Electrical and Electronics Engineers Inc..
De Melo, Wheidima Carneiro, Granger, Eric et Hadid, Abdenour.
2019.
« Depression detection based on deep distribution learning ».
In 26th IEEE International Conference on Image Processing (ICIP) (Taipei, Taiwan, Sept. 22-25, 2019)
pp. 4544-4548.
Taipei, Taiwan : IEEE Computer Society.
De Melo, Wheidima Carneiro, Granger, Eric et Lopez, Miguel Bordallo.
2020.
« Encoding temporal information for automatic depression recognition from facial analysis ».
In IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) (Barcelona, Spain, May 04-08, 2020)
pp. 1080-1084.
Institute of Electrical and Electronics Engineers Inc..
de Melo, Wheidima Carneiro, Granger, Eric et Lopez, Miguel Bordallo.
2024.
« Facial expression analysis using decomposed multiscale spatiotemporal networks ».
Expert Systems with Applications, vol. 236.
De Oliveira Jr, J. J., Kapp, M. N., Freitas, C. O. De A., De Carvalho, J. M. et Sabourin, Robert.
2004.
« Handwritten recognition with multiple classifiers for restricted lexicon ».
In 17th Brazilian Symposium on Computer Graphics and Image Processing (Curitiba, Brazil, Oct. 17-20, 2004)
pp. 82-89.
Los Alamitos, CA, USA : Institute of Electrical and Electronics Engineers Computer Society.
de Oliveira, Claudio, Kaestner, Celso A., Bortolozzi, Flavio et Sabourin, Robert.
1997.
« Generation of signatures by deformations ».
In Advances in document image analysis: first Brazilian symposium, BSDIA '97, Curitiba, Brazil, November 2-5, 1997: proceedings (Curitiba, Brazil, Nov. 2-5, 1997)
Coll. « Lecture Notes in Computer Science », vol. 1339.
pp. 283-298.
New York, NY, USA : Springer Verlag.
de Oliveira, J. J., de A. Freitas, C. O., de Carvalho, J. M. et Sabourin, Robert.
2009.
« Handwritten word recognition using multi-view analysis ».
In Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications : 14th Iberoamerican Conference on Pattern Recognition, CIARP 2009, Guadalajara, Jalisco, Mexico, November 15-18, 2009. Proceedings (Guadalajara, Jalisco, Mexico, Nov. 15-18, 2009)
Coll. « Lecture Notes in Computer Science », vol. 5856.
pp. 371-378.
Berlin, Germany : Springer Verlag.
de Oliveira, José J. Jr., de Carvalho, Joao M., de A Freitas, C. O. et Sabourin, Robert.
2002.
« Feature sets evaluation for handwritten word recognition ».
In 8th International Workshop on Frontiers in Handwriting Recognition (Niagara on the Lake, ON, Canada, Aug. 6-8, 2002)
pp. 446-450.
Los Alamitos, CA, USA : Institute of Electrical and Electronics Engineers Computer Society.
de Oliveira, José J. Jr., de Carvalho, Joao M., de A. Freitas, Cinthia O. et Sabourin, Robert.
2002.
« Evaluating NN and HMM classifiers for handwritten word recognition ».
In 15th Brazilian Symposium on Computer Graphics and Image Processing (Fortaleza, Ceara, Brazil, Oct. 7-10, 2002)
pp. 210-217.
Los Alamitos, CA, USA : Institute of Electrical and Electronics Engineers Computer Society.
de Oliveira, L. S., Bortolozzi, F. et Sabourin, R..
1998.
« Extraçao e codificaçao da estrutura lògica a partir de imagens de cheques bancàrios brasileiros ».
In ISDM'98-International Seminar on Document Management (Curitiba, Brasil, Nov. 10-11, 1998)
pp. 196-208.
de Olivera, L. E., Bortolozzi, F. et Sabourin, Robert.
1999.
« Extraçao e codificaçao das estruturas lògica e fisica a partir de imagens de cheques bancàrios brasileiros ».
In International Seminar on knowledge/Document Management (ISKM/DM '99) (Curitiba, Brasil, Dec. 6-9, 1999)
pp. 88-102.
De S. Britto Jr., A., Sabourin, R., Lethelier, E., Bortolozzi, F. et Suen, C. Y..
2000.
« Improvement in handwritten numeral string recognition by slant normalization and contextual information ».
In 7th International Workshop on Frontiers in Handwriting Recognition: September 11-13, 2000, Amsterdam, the Netherlands: proceedings (Amsterdam, The Netherlands, Sept. 11-13, 2000)
pp. 323-332.
Nijmegen, The Netherlands : International Unipen Foundation.
de Souza, P. S., Britto Jr, A, sabourin, Robert, Souza, S. L. et Borges, Díbio Leandro.
2004.
« K-Means VQ Algorithm using a Low-Cost Parallel Cluster Computing ».
In IASTED International Conference on Parallel and Distributed Computing (Innsbruck, Austria, Feb. 17-19, 2004)
pp. 392-397.
ACTA Press. De Zambotti, Massimiliano, Baker, Fiona C., Forouzanfar, Mohamad, Ramamurthy, Bhaskar et Menoud, Laurie (inventeurs) 31 octobre 2023. « Systems and methods involving predictive modeling of hot flashes ». SRI International (titulaire(s)). Brevet américain US 11,804,301.
de Zambotti, Massimiliano, Forouzanfar, Mohamad, Javitz, Harold, Goldstone, Aimée, Claudatos, Stephanie, Alschuler, Vanessa, Baker, Fiona C. et Colrain, Ian M..
2021.
« Impact of evening alcohol consumption on nocturnal autonomic and cardiovascular function in adult men and women: a dose–response laboratory investigation ».
Sleep, vol. 44, nº 1.
de Zambotti, Massimiliano, Goldstone, Aimee, Forouzanfar, Mohamad, Javitz, Harold, Claudatos, Stephanie, Colrain, Ian M. et Baker, Fiona C..
2020.
« The falling asleep process in adolescents ».
Sleep, vol. 43, nº 6.
de Zambotti, Massimiliano, Smith, Ellen, Goldstone, Aimee, Forouzanfar, Mohamad, Claudatos, Stephanie, Gil, Maureen, Alschuler, Vanessa, Lim, Yun Qi, Rosas, Leonardo, Prouty, Devin, Kardos, Lena, Colrain, Ian et Baker, Fiona.
2019.
« 0137 The falling asleep process in adolescents ».
[Résumé d'une communication à une conférence]. Sleep, vol. 42, nº Suppl. 1.
A56.
De-la-Torre, M., Granger, Éric, Radtke, P. V. W., Sabourin, Robert et Gorodnichy, D. O..
2012.
« Incremental update of biometric models in face-based video surveillance ».
In The 2012 International Joint Conference on Neural Networks (IJCNN) (Brisbane, Australia, June 10-15, 2012)
Piscataway, NJ, USA : IEEE.
De-la-Torre, M., Granger, Eric, Radtke, P., Sabourin, R. et Gorodnichy, D. O..
2014.
« Self-updating with facial trajectories for video-to-video face recognition ».
In 2014 22nd International Conference on Pattern Recognition (ICPR) (Stockholm, Sweden, Aug. 24-28, 2014)
pp. 1669-1674.
Los Alamitos, CA, USA : IEEE Computer Society.
De-la-Torre, M., Granger, Éric, Sabourin, Robert et Gorodnichy, D. O..
2013.
« An Individual-Specific Strategy for Management of Reference Data in Adaptive Ensembles for Person Re-Identification ».
In 5th International Conference on Imaging for Crime Detection and Prevention (ICDP 2013) (London, UK, Dec. 16-17, 2013)
Stevenage, UK : IET.
De-la-Torre, M., Radtke, P. V. W., Granger, Éric, Sabourin, Robert et Gorodnichy, D. O..
2012.
« A comparison of adaptive matchers for screening of faces in video surveillance ».
In 2012 IEEE Symposium on Computational Intelligence for Security and Defence Applications (CISDA) (Ottawa, ON, Canada, July 11-13, 2012)
Piscataway, NJ, USA : IEEE.
De-la-Torre, Miguel, Granger, Éric, Radtke, Paulo V. W., Sabourin, Robert et Gorodnichy, Dmitry O..
2015.
« Partially-supervised learning from facial trajectories for face recognition in video surveillance ».
Information Fusion, vol. 24.
pp. 31-53.
De-la-Torre, Miguel, Granger, Éric, Sabourin, Robert et Gorodnichy, Dmitry O..
2015.
« Adaptive skew-sensitive ensembles for face recognition in video surveillance ».
Pattern Recognition, vol. 48, nº 11.
pp. 3385-3406.
De-la-Torre, Miguel, Granger, Éric, Sabourin, Robert et Gorodnichy, Dmitry O..
2015.
« An adaptive ensemble-based system for face recognition in person re-identification ».
Machine Vision and Applications, vol. 26, nº 6.
pp. 741-773.
De-la-Torre, Miguel, Granger, Eric, Sabourin, Robert et Gorodnichy, Dmitry O..
2015.
« Individual-specific management of reference data in adaptive ensembles for face re-identification ».
IET Computer Vision, vol. 9, nº 5.
pp. 732-740.
Delazeri, Bruna Rossetto, Vera, Leonardo Leon, Barddal, Jean Paul, Koerich, Alessandro L. et Alceu de, S. Britto.
2022.
« Evaluation of self-taught learning-based representations for facial emotion recognition ».
In International Joint Conference on Neural Networks (IJCNN) (Padua, Italy, July 18-23, 2022)
IEEE.
Delfan, Niloufar et Forouzanfar, Mohamad.
2023.
« Hybrid deep morpho-temporal framework for oscillometric blood pressure measurement ».
IEEE Journal of Biomedical and Health Informatics, vol. 27, nº 11.
pp. 5293-5301.
Delisle, Pierre-Luc, Anctil-Robitaille, Benoit, Desrosiers, Christian et Lombaert, Hervé.
2020.
« Adversarial normalization for multi domain image segmentation ».
In IEEE 17th International Symposium on Biomedical Imaging (ISBI) (Iowa City, IA, USA, Apr. 03-07, 2020)
pp. 849-853.
IEEE.
Delisle, Pierre-Luc, Anctil-Robitaille, Benoit, Desrosiers, Christian et Lombaert, Herve.
2021.
« Realistic image normalization for multi-Domain segmentation ».
Medical Image Analysis, vol. 74.
Demirkus, Meltem, Toews, Matthew, Clark, James J. et Arbel, Tal.
2010.
« Gender classification from unconstrained video sequences ».
In 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops (CVPRW) (San Francisco, CA, USA, June 13-18, 2010)
pp. 55-62.
Los Alamitos, CA, USA : IEEE Computer Society.
Deng, Shengziang, Ben Ayed, Ismail et Sun, Hongpeng.
2024.
« A preconditioned alternating minimization framework for nonconvex and half quadratic regularization ».
Inverse Problems and Imaging, vol. 18, nº 4.
pp. 1024-1051.
Dewan, M. Ali Akber, Granger, É., Marcialis, G. L., Sabourin, R. et Roli, F..
2016.
« Adaptive appearance model tracking for still-to-video face recognition ».
Pattern Recognition, vol. 49.
pp. 129-151.
Dewan, M. Ali Akber, Granger, E., Sabourin, R., Marcialis, G. L. et Roli, F..
2015.
« Video face recognition from a single still image using an adaptive appearance model tracker ».
In 2015 IEEE Symposium Series on Computational Intelligence (Cape Town, South Africa, Dec. 7-10, 2015)
pp. 196-202.
IEEE.
Dewan, M. Ali Akber, Granger, Éric, Roli, F., Sabourin, Robert et Marcialis, G. L..
2013.
« Comparison of adaptive appearance methods for tracking faces in video surveillance ».
In 5th International Conference on Imaging for Crime Detection and Prevention, ICDP 2013 (London, UK, Dec. 16-17, 2013)
Institution of Engineering and Technology.
Diaz, Moise, Ferrer, Miguel A., Eskander, George S. et Sabourin, Robert.
2017.
« Generation of duplicated off-line signature images for verification systems ».
IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 39, nº 5.
pp. 951-964.
Diaz, Moises, Ferrer, Miguel A. et Sabourin, Robert.
2016.
« Approaching the intra-class variability in multi-script static signature evaluation ».
In 23rd International Conference on Pattern Recognition (ICPR) (Cancún, México, Dec. 04-08, 2016)
pp. 1147-1152.
IEEE.
Ding, Yang, Acosta, Ronaldo, Enguix, Vicente, Suffren, Sabrina, Ortmann, Janosch, Luck, David, Dolz, Jose et Lodygensky, Gregory A..
2020.
« Using deep convolutional neural networks for neonatal brain image segmentation ».
Frontiers in Neuroscience, vol. 14.
Dolz, Jose, Ben Ayed, Ismail et Desrosiers, Christian.
2017.
« DOPE: distributed optimization for pairwise energies ».
In IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (Honolulu, HI, USA, July 21-26, 2017)
pp. 4095-4104.
IEEE Computer Society.
Dolz, Jose, Ben Ayed, Ismail et Desrosiers, Christian.
2019.
« Dense multi-path U-Net for ischemic stroke lesion segmentation in multiple image modalities ».
In Brainlesion: Glioma, Multiple Sclerosis, Stroke and Traumatic Brain Injuries : 4th International Workshop, BrainLes 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16, 2018, Revised Selected Papers, Part I (Granada, Spain, Sept. 16-20, 2018)
Coll. « Lecture Notes in Computer Science », vol. 11383.
pp. 271-282.
Cham, Switzerland : Springer.
Dolz, Jose, Ben Ayed, Ismail et Desrosiers, Christian.
2017.
« Unbiased shape compactness for segmentation ».
In Medical Image Computing and Computer-Assisted Intervention : MICCAI 2017 : 20th International Conference, Quebec City, QC, Canada, September 11-13, 2017 : Proceedings : Part I (Quebec City, QC, Canada, Sept. 11-13, 2017)
Coll. « Lecture Notes in Computer Science », vol. 10433.
pp. 755-763.
Springer Verlag.
Dolz, Jose, Ben Ayed, Ismail, Jing, Yuan et Desrosiers, Christian.
2018.
« Isointense infant brain segmentation with a hyper-dense connected convolutional neural network ».
In IEEE 15th International Symposium on Biomedical Imaging (ISBI 2018) (Washington, DC, USA, Apr. 04-07, 2018)
pp. 616-620.
Piscataway, NJ, USA : IEEE.
Dolz, Jose, Desrosiers, Christian et Ben Ayed, Ismail.
2018.
« 3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study ».
NeuroImage, vol. 170.
pp. 456-470.
Dolz, Jose, Desrosiers, Christian et Ben Ayed, Ismail.
2019.
« IVD-Net: intervertebral disc localization and segmentation in MRI with a multi-modal UNet ».
In Computational Methods and Clinical Applications for Spine Imaging : 5th International Workshop and Challenge, CSI 2018, Held in Conjonction with MICCAI 2018. Revised Selected Papers (Granada, Spain, Sept. 16, 2018)
Coll. « Lecture Notes in Computer Science », vol. 11397.
pp. 130-143.
Springer Verlag.
Dolz, Jose, Desrosiers, Christian et Ben Ayed, Ismail.
2021.
« Teach me to segment with mixed supervision: Confident students become masters ».
In 27th International Conference on Information Processing in Medical Imaging, IPMI 2021, Virtual, Online, 28 June 2021 - 30 June 2021 (En ligne, June 28-30, 2021)
Coll. « Lecture Notes in Computer Science », vol. 12729.
pp. 517-529.
Springer.
Dolz, Jose, Desrosiers, Christian, Wang, Li, Yuan, Jing, Shen, Dinggang et Ben Ayed, Ismail.
2020.
« Deep CNN ensembles and suggestive annotations for infant brain MRI segmentation ».
Computerized Medical Imaging and Graphics, vol. 79.
Dolz, Jose, Gopinath, Karthik, Yuan, Jing, Lombaert, Herve, Desrosiers, Christian et Ben Ayed, Ismail.
2019.
« HyperDense-Net: A hyper-densely connected CNN for multi-modal image segmentation ».
IEEE Transactions on Medical Imaging, vol. 38, nº 5.
pp. 1116-1126.
Dolz, Jose, Xu, Xiaopan, Rony, Jérôme, Yuan, Jing, Liu, Yang, Granger, Éric, Desrosiers, Christian, Zhang, Xi, Ben Ayed, Ismail et Lu, Hongbing.
2018.
« Multiregion segmentation of bladder cancer structures in MRI with progressive dilated convolutional networks ».
Medical Physics, vol. 45, nº 12.
pp. 5482-5493.
Doré, Sylvie, Kearney, R. E. et de Guise, Jacques A..
1997.
« Experimental correlation-based identification of X-ray CT point spread function .Part II : Simulation and design of input signal ».
Medical and Biological Engineering and Computing, vol. 35, nº 1.
pp. 9-16.
Doré, Sylvie, Kearney, R. E. et de Guise, Jacques A..
1997.
« Experimental correlation-based identification of X-ray CT point spread function. Part I : Method and experimental results ».
Medical and Biological Engineering and Computing, vol. 35, nº 1.
pp. 2-8.
Doré, Sylvie et Lavallee, Patrice.
1997.
« Design and fabrication of intake manifold for formula SAE (Society of Automotive Engineers) race car ».
In Rapid Product Development Technologies (Boston, MA, USA, Nov. 18-19, 1996)
Coll. « Proceedings of SPIE », vol. 2910.
pp. 187-197.
USA : SPIE.
Doré, Vincent, Duong, Luc, Cheriet, Farida et Cheriet, Mohamed.
2007.
« Towards segmentation of pedicles on posteroanterior X-ray views of scoliotic patients ».
In Image Analysis and Recognition : 4th International Conference, ICIAR 2007, Montreal, Canada, August 22-24, 2007. Proceedings (Montreal, Canada, Aug. 22-24, 2007)
Coll. « Lecture Notes in Computer Science », vol. 4633.
pp. 1028-1039.
Heidelberg, Germany : Springer Verlag.
Dos Santos, E.M., Sabourin, Robert et Maupin, P..
2006.
« Single and multi-objective genetic algorithms for the selection of ensemble of classifiers ».
In International Joint Conference on Neural Networks (IJCNN) (Vancouver, Canada, Jul. 16-21, 2006)
pp. 3070-3077.
Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers.
Dos Santos, Eulanda M. et Sabourin, Robert.
2011.
« Classifier ensembles optimization guided by population oracle ».
In IEEE Congress of Evolutionary Computation (CEC) (New Orleans, LA, USA, June 5-8, 2011)
pp. 693-698.
Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers.
Dos Santos, Eulanda M., Sabourin, Robert et Maupin, Patrick.
2008.
« A dynamic overproduce-and-choose strategy for the selection of classifier ensembles ».
Pattern Recognition, vol. 41, nº 10.
pp. 2993-3009.
dos Santos, Eulanda M., Sabourin, Robert et Maupin, Patrick.
2007.
« Ambiguity-guided dynamic selection of ensemble of classifiers ».
In 10th International Conference on Information Fusion (Quebec, Canada, Jul. 9-12, 2007)
Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers Computer Society.
Dos Santos, Eulanda M., Sabourin, Robert et Maupin, Patrick.
2009.
« Overfitting cautious selection of classifier ensembles with genetic algorithms ».
Information Fusion, vol. 10, nº 2.
pp. 150-162.
Dos Santos, Eulanda M., Sabourin, Robert et Maupin, Patrick.
2008.
« Pareto analysis for the selection of classifier ensembles ».
In 10th Annual Genetic and Evolutionary Computation Conference (GECCO) (Atlanta, GA, USA, Jul. 12-16, 2008)
pp. 681-688.
New York, NY, USA : Association for Computing Machinery.
Dos Santos, Eulanda M., Sabourin, Robert, Oliveira, Luiz S. et Maupin, Patrick.
2008.
« Overfitting in the selection of classifier ensembles : a comparative study between PSO and GA ».
In 10th Annual Genetic and Evolutionary Computation Conference (GECCO) (Atlanta, GA, USA, Jul. 12-16, 2008)
pp. 1423-1424.
New York, NY, USA : Association for Computing Machinery.
Drouhard, J. P., Sabourin, Robert et Godbout, M..
1996.
« A neural network approach to off-line signature verification using directional PDF ».
Pattern Recognition, vol. 29, nº 3.
pp. 415-424.
Drouhard, Jean-pierre, Sabourin, Robert et Godbout, Mario.
1995.
« A comparative study of the k nearest neighbour, threshold and neural network classifiers for handwritten signature verification using an enhanced directional PDF ».
In Proceedings of the Third International Conference on Document Analysis and Recognition, 1995 (Montreal, QC, Canada, Aug. 14-16, 1995)
pp. 807-810.
Drouhard, Jean-Pierre, Sabourin, Robert et Godbout, Mario.
1994.
« Evaluation of a training method and of various rejection criteria for a neural network classifier used for off-line signature verification ».
In IEEE International Conference on Neural Networks, IEEE World Congress on Computational Intelligence (Orlando, FL, USA, June 27-Jul. 2, 1994)
pp. 4294-4299.
Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers.
Dubail, Thomas, Guerrero Peña, Fidel Alejandro, Medeiros, Heitor Rapela, Aminbeidokhti, Masih, Granger, Eric et Pedersoli, Marco.
2023.
« Privacy-preserving person detection using low-resolution infrared cameras ».
In Computer Vision – ECCV 2022 Workshops (Tel Aviv, Israel, Oct. 23-27, 2022)
Coll. « Lecture Notes in Computer Science », vol. 13805.
pp. 689-702.
Springer Science and Business Media.
Dubois, David, Lepage, Richard et Tanzi, Tullio.
2009.
« Toward a GUI remote sensing environment built over OTB ».
In IEEE International Geoscience and Remote Sensing Symposium (IGARSS) (Cape Town, South Africa, Jul. 12-17, 2009)
IV932-IV935.
Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers Inc..
Dubos, Clement, Bernard, Simon, Adam, Sebastien et Sabourin, Robert.
2016.
« ROC-based cost-sensitive classification with a reject option ».
In 23rd International Conference on Pattern Recognition, (ICPR) (Cancún, México, Dec. 04-08, 2016)
pp. 3320-3325.
IEEE.
Dufour, Marie-Michèle, Lanovaz, Marc J. et Cardinal, Patrick.
2020.
« Artificial intelligence for the measurement of vocal stereotypy ».
Journal of the Experimental Analysis of Behavior, vol. 114, nº 3.
pp. 368-380. Dufour, T. et Noumeir, Rita. 1997. « Orientation et grandeur d'objets elliptiques ». Communication lors de la conférence : 65e Colloque de l'ACFAS (Trois-Rivières, QC, Canada, 12-16 mai 1997).
Duong, Jean, Côté, Myriam, Emptoz, Hubert et Suen, Ching Y..
2001.
« Extraction of text areas in printed document images ».
In ACM Symposium on Document Engineering (DocEng) (Atlanta, GA, USA, Nov. 9-10, 2001)
pp. 157-165.
USA : Association for Computing Machinery.
Duong, Jean, Sabourin, Robert et Emptoz, Hubert.
2004.
« Proposition d'un classificateur en cascade : application à la reconnaissance de police de caractèrs rares ».
In Actes du huitième Colloque international francophone sur l'écrit et le document, CIFED'04, 21 - 25 juin 2004, La Rochelle (La Rochelle, France, 21-25 juin 2004)
pp. 231-236.
Eftekhari, A., Abrishami-Moghaddam, H. et Forouzanfar, M..
2009.
« A generalized matrix-based framework for face recognition ».
In 17th Iranian Conference on Electric Engineering (ICEE) (Tehran, Iran, May 11-13, 2009)
Iran University of Science and Technology.
Eftekhari, Armin, Abrishami Moghaddam, Hamid, Forouzanfar, Mohamad et Alirezaie, Javad.
2009.
« Incremental local linear fuzzy classifier in fisher space ».
EURASIP Journal on Advances in Signal Processing, vol. 2009, nº 1.
Eftekhari, Armin, Forouzanfar, Mohamad, Abrishami Moghaddam, Hamid et Alirezaie, Javad.
2010.
« Block-wise 2D kernel PCA/LDA for face recognition ».
Information Processing Letters, vol. 110, nº 17.
pp. 761-766.
Eftekhari, Armin, Khanesar, Mojtaba Ahmadieh, Forouzanfar, Mohamad et Teshnehlab, Mohammad.
2009.
« Incremental locally linear fuzzy classifier ».
In
Applications of Soft Computing.
Coll. « Advances in Intelligent and Soft Computing », vol. 58.
pp. 305-314. Berlin, Heidelberg : Springer Berlin Heidelberg.
Ekladious, George, Lemoine, Hugo, Granger, Eric, Kamali, Kaveh et Moudache, Salim.
2020.
« Dual-triplet metric learning for unsupervised domain adaptation in video face recognition ».
In International Joint Conference on Neural Networks (IJCNN) (Glasgow, United Kingdom, July 19-24, 2020)
Piscataway, NJ, USA : IEEE.
Ekladious, George, Sabourin, Robert et Granger, Eric.
2017.
« Learning global-local distance metrics for signature-based biometric cryptosystems ».
Cryptography, vol. 1, nº 3.
El Yacoubi, A., Gilloux, M., Sabourin, R. et Suen, C. Y..
1997.
« Objective evaluation of the discriminant power of features in a HMM-based word recognition system ».
In Advances in document image analysis: first Brazilian symposium, BSDIA '97, Curitiba, Brazil, November 2-5, 1997: proceedings (Curitiba, Brazil, Nov. 2-5, 1997)
Coll. « Lecture Notes in Computer Science », vol. 1339.
pp. 60-73.
New York, NY, USA : Springer Verlag.
El Yacoubi, A., Justino, E. J. R., Sabourin, R. et Bortolozzi, F..
2000.
« Off-line signature verification using HMMs and cross-validation ».
In Neural networks for signal processing X: proceedings of the 2000 IEEE Signal Processing Society Workshop. (Sydney, Australia, Dec. 11-13, 2000)
pp. 859-868.
Piscataway, NJ, USA : IEEE.
El Yacoubi, A., Sabourin, R., Suen, C. Y. et Gilloux, M..
1998.
« Amélioration de la modélisation Markovienne dans un système de reconnaissance de mots manuscrits ».
In Actes du 1er colloque international francophone sur l'écrit et le document tenu dans le cadre du congrès de l'Acfas à Québec en mai 1998 (Québec, QC, Canada, 11-13 mai 1998)
Coll. « Cahiers de l'ACFAS », vol. 93.
pp. 14-23.
Montréal, QC, Canada : Association canadienne-française pour l'avancement des sciences. El Yacoubi, A., Sabourin, Robert, Suen, C. Y. et Gilloux, M.. 1998. « Improved model architecture and training phase in a off-line HMM-bases word recognition system ». Communication lors de la conférence : 14th International Conference on Pattern Recognition (ICPR'98) (Brisbane, Australia, Aug. 17-20, 1998). El-Daccache, R. et Noumeir, Rita. 1997. « Surfaces actives (reconstruction 3D): application à l'imagerie médicale nucléaire ». Communication lors de la conférence : 65e Colloque de l'ACFAS (Trois-Rivières, QC, Canada, 12-16 mai 1997).
El-Yacoubi, A., Gilloux, M., Sabourin, Robert et Suen, C. Y..
1999.
« An HMM-based approach for off-line unconstrained handwritten word modeling and recognition ».
IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 21, nº 8.
pp. 752-760.
El-Yacoubi, A., Sabourin, R., Gilloux, M. et Suen, C.Y..
1999.
« Off-line handwitten word recognition using hidden markov models ».
In
Knowledge-based intelligent techniques in character recognition.
pp. 191-230. USA : CRC Press Inc.
Enembreck, Fabricio, Avila, Braulio Coelho et Sabourin, Robert.
1999.
« Decision tree-based paraconsistent learning ».
In XIX International Conference of the Chilean Computer Science Society (SCCC '99) (Talca, Chile, Nov. 11-13, 1999)
pp. 43-52.
IEEE.
Enembreck, Fabricio, Avita, Braulio Coelho et Sabourin, Robert.
1999.
« Verificação de assinaturas manuscritas : uma abordagem paraconsistente ».
In
Lógica e Theoria da Ciência.
pp. 7-22. Instituto de Estudos Avançados da Universidade de São Paulo.
Ensina, Leandro A., de Oliveira, Luiz E. S., Cruz, Rafael M. O. et Cavalcanti, G. D. C..
2024.
« Fault distance estimation for transmission lines with dynamic regressor selection ».
Neural Computing and Applications, vol. 36, nº 4.
pp. 1741-1759.
Eskander, George S., Sabourin, Robert et Granger, Éric.
2014.
« A bio-cryptographic system based on offline signature images ».
Information Sciences, vol. 259.
pp. 170-191.
Eskander, George S., Sabourin, Robert et Granger, Éric.
2013.
« A dissimilarity-based approach for biometric fuzzy vaults - Application to handwritten signature images ».
In New Trends in Image Analysis and Processing - ICIAP 2013 International Workshops, Naples, Italy, September 9-13, 2013. Proceedings (Naples, Italy, Sept. 9-13, 2013)
Coll. « Lecture Notes in Computer Science », vol. 8158.
pp. 95-102.
Heidelberg, Germany : Springer Verlag.
Eskander, George S., Sabourin, Robert et Granger, Éric.
2012.
« Adaptation of writer-independent systems for offline signature verification ».
In 2012 International Conference on Frontiers in Handwriting Recognition (ICFHR) (Bari, Italy, Sept.18-20, 2012)
pp. 434-439.
Los Alamitos, CA : IEEE Computer Society.
Eskander, George S., Sabourin, Robert et Granger, Eric.
2013.
« Dissimilarity representation for handwritten signature verification ».
In CEUR Workshop Proceedings (Washington D.C., USA, Aug. 22-23, 2013)
pp. 26-30.
CEUR-WS.
Eskander, George S., Sabourin, Robert et Granger, Éric.
2013.
« Hybrid writer-independent writer-dependent offline signature verification system ».
[Article de conférence]. IET Biometrics, vol. 2, nº 4.
pp. 169-181.
Eskander, George S., Sabourin, Robert et Granger, Éric.
2014.
« Improving signature-based biometric cryptosystems using Cascaded Signature Verification-Fuzzy Vault (SV-FV) approach ».
In Proceedings. 2014 14th International Conference on Frontiers in Handwriting Recognition (ICFHR) (Heraklion, Sept. 1-4, 2014)
pp. 187-192.
Los Alamitos, CA, USA : IEEE Computer Society.
Eskander, George S., Sabourin, Robert et Granger, Éric.
2014.
« Offline signature-based fuzzy vault: A review and new results ».
In 2014 IEEE Symposium on Computational Intelligence in Biometrics and Identity Management (CIBIM) (Orlando, FL, USA, Dec. 9-12, 2014)
pp. 45-52.
IEEE Computer Society.
Eskander, George S., Sabourin, Robert et Granger, Éric.
2013.
« On the dissimilarity representation and prototype selection for signature-based bio-cryptographic systems ».
In Similarity-Based Pattern Recognition : Second International Workshop, SIMBAD 2013, York, UK, July 3-5, 2013. Proceedings (York, UK, July 3-5, 2013)
Coll. « Lecture Notes in Computer Science », vol. 7953.
pp. 265-280.
Heidelberg, Germany : Springer Verlag.
Eskander, George S., Sabourin, Robert et Granger, Éric.
2011.
« Signature based Fuzzy Vaults with boosted feature selection ».
In IEEE Workshop on Computational Intelligence in Biometrics and Identity Management (CIBIM) (Paris, France, Apr. 11-15, 2011)
pp. 131-138.
Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers.
Eskander, George S., Sabourin, Robert et Granger, Eric.
2013.
« Towards automated transactions based on the offline handwritten signatures ».
In Machine Learning and Data Mining in Pattern Recognition : 1st WIPRA Workshop on Intelligent Pattern Recognition and Analysis : Poster and WIPRA Workshop Proceedings (New York, NY, USA, July 19-25, 2013)
pp. 141-150.
Ibai Publishing.
Esmaeilpour, Mohammad, Cardinal, Patrick et Koerich, Alessandro Lameiras.
2020.
« Detection of adversarial attacks and characterization of adversarial subspace ».
In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (Barcelona, Spain, May 04-08, 2020)
pp. 3097-3101.
Piscataway, NJ, USA : IEEE.
Esmaeilpour, Mohammad, Cardinal, Patrick et Koerich, Alessandro Lameiras.
2022.
« From environmental sound representation to robustness of 2D CNN models against adversarial attacks ».
Applied Acoustics, vol. 195.
Esmaeilpour, Mohammad, Cardinal, Patrick et Koerich, Alessandro Lameiras.
2022.
« Towards robust speech-to-text adversarial attack ».
In 47th IEEE International Conference on Acoustics, Speech, and Signal Processing (Singapore, Singapore, May 23-27, 2022)
pp. 2869-2873.
Institute of Electrical and Electronics Engineers Inc..
Esmaeilpour, Mohammad, Cardinal, Patrick et Lameiras Koerich, Alessandro.
2020.
« A robust approach for securing audio classification against adversarial attacks ».
IEEE Transactions on Information Forensics and Security, vol. 15, nº 1.
pp. 2147-2159.
Esmaeilpour, Mohammad, Cardinal, Patrick et Lameiras Koerich, Alessandro.
2021.
« Class-conditional defense GaN against end-to-end speech attacks ».
In IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) (Toronto, ON, Canada - En ligne, June 06-11,, 2021)
pp. 2565-2569.
Institute of Electrical and Electronics Engineers Inc..
Esmaeilpour, Mohammad, Cardinal, Patrick et Lameiras Koerich, Alessandro.
2021.
« Cyclic defense GAN against speech adversarial attacks ».
IEEE Signal Processing Letters, vol. 28.
pp. 1769-1773.
Esmaeilpour, Mohammad, Cardinal, Patrick et Lameiras Koerich, Alessandro.
2022.
« Multidiscriminator sobolev defense-GAN against adversarial attacks for end-to-end speech systems ».
IEEE Transactions on Information Forensics and Security, vol. 17.
pp. 2044-2058.
Esmaeilpour, Mohammad, Cardinal, Patrick et Lameiras Koerich, Alessandro.
2020.
« Unsupervised feature learning for environmental sound classification using Weighted Cycle-Consistent Generative Adversarial Network ».
Applied Soft Computing, vol. 86.
Esmaeilpour, Mohammad, Chaalia, Nourhene, Abusitta, Adel, Devailly, Franois-Xavier, Maazoun, Wissem et Cardinal, Patrick.
2022.
« Bi-discriminator GAN for tabular data synthesis ».
Pattern Recognition Letters, vol. 159.
pp. 204-210.
Esmaeilpour, Mohammad, Chaalia, Nourhene et Cardinal, Patrick.
2022.
« RSD-GAN: Regularized sobolev defense GAN against speech-to-text adversarial attacks ».
IEEE Signal Processing Letters, vol. 29.
pp. 1998-2002.
Farhangian, Faramarz, Cruz, Rafael M. O. et Cavalcanti, George D. C..
2024.
« Fake news detection: Taxonomy and comparative study ».
Information Fusion, vol. 103.
Farias, William. C., Justino, Edson J. R., Facon, Jacques, Oliveira, Luiz E. S. et Sabourin, Robert.
2014.
« Off-line signature verification using a mixed segmentation ».
In Xth Workshop de Visãon Computational (WVC 2014) (Uberlândia, Brazil, Oct. 6-8, 2014)
pp. 119-124.
Universidade Federal de Uberlandia.
Farrahi Moghaddam, Reza et Cheriet, Mohamed.
2008.
« EFDM : restoration of single-sided low-quality document images ».
In Proceedings : eleventh International Conference on Frontiers in Handwriting Recognition (Montreal, QC, Canada, Aug. 19-21, 2008)
Montréal : CENPARMI, Concordia University.
Farzam, Ramin, Azad, Mohammad Hasan, Moghaddam, Hamid Abrishami et Forouzanfar, Mohamad.
2024.
« Beat-to-beat oscillometric blood pressure estimation: A bayesian approach with system identification ».
IEEE Transactions on Biomedical Engineering.
Fataicha, Y., Cheriet, Mohamed, Nie, J. Y. et Suen, Ching Y..
2002.
« Content analysis in document images : a scale space approach ».
In 16th International Conference on Pattern Recognition (ICPR) (Quebec City, Canada, Aug. 11-15, 2002)
pp. 335-338.
Los Alamitos, CA, USA : Institute of Electrical and Electronics Engineers Computer Society.
Fataicha, Y., Cheriet, Mohamed, Nie, J.Y. et Suen, C.Y..
2006.
« Retrieving poorly degraded OCR documents ».
International Journal on Document Analysis and Recognition, vol. 8, nº 1.
pp. 15-26.
Fataicha, Youssef, Cheriet, Mohamed et Nie, Jian Yun.
2001.
« Détection multi-échelle d'objets dans des images de documents composites ».
In International Conference on Image and Signal Processing (Agadir, Maroc, 3-5 mai 2001)
pp. 538-546.
Faucher, Guillaume, Karimi, Elham, Ménard, Lucie et Laporte, Catherine.
2019.
« Automatic palate delineation in ultrasound videos ».
In Proceedings of the 19th International Congress of Phonetic Sciences (Melbourne, Australia, Aug. 5-9, 2019)
pp. 422-426.
Canberra, Australia : Australasian Speech Science and Technology Association Inc..
Fechter, Tobias, Adebahr, Sonja, Baltas, Dimos, Ben Ayed, Ismail, Desrosiers, Christian et Dolz, Jose.
2017.
« Esophagus segmentation in CT via 3D fully convolutional neural network and random walk ».
Medical Physics, vol. 44, nº 12.
pp. 6341-6352.
Fennir, M. A., Landry, Jacques A. et Raghavan, G. S. V..
2003.
« Development and testing of an automated infrared gas analysis system for postharvest respiration study ».
Applied Engineering in Agriculture, vol. 19, nº 3.
pp. 335-340.
Fennir, M. A., Landry, Jacques A. et Raghavan, G. S. V..
2003.
« Respiration rate of potatoes (Solanum tuberosum L.) measured in a two-bin research scale storage facility, using heat and moisture balance and gas analysis techniques ».
Canadian Biosystems Engineering = Le Génie des biosystems au Canada, vol. 45.
4.1-4.9.
Fennir, M. A., Landry, Jacques-André et Raghavan, G. S. V..
2005.
« Respiration rate of potatoes (solanum tubersum L.) as affected by soft rot (Erwinia Carotovora) and determined at various storage temperatures ».
West Indian Journal of Engineering, vol. 27, nº 2.
pp. 62-71.
Fennir, M. A., Landry, Jacques-André, Ramaswamy, H. S. et Raghavan, V. G. S..
2003.
« An investigation of sugar extraction methods and the use of microwave power for date syrup processing: Efficiency and color related considerations ».
Journal of Microwave Power and Electromagnetic Energy, vol. 38, nº 3.
pp. 189-196.
Fnaiech, Farhat, Abid, Sabeur, Ellala, Nizar et Cheriet, Mohamed.
2002.
« A comparative study of fast neural network learning algorithms ».
In IEEE International Conference on Systems, Man and Cybernetics (Hammamet, Tunisia, Oct. 6-9, 2002)
pp. 24-29.
Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers.
Fnaiech, Nader, Abid, Sabeur, Fnaiech, Farhat et Cheriet, Mohamed.
2004.
« A modified version of a formal pruning algorithm based on local relative variance analysis ».
In 1st International Symposium on Control, Communications and Signal Processing (ISCCSP) (Hammamet, Tunisia, March 21-24, 2004)
pp. 849-852.
Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers.
Fnaiech, Nader, Fnaiech, Farhat et Cheriet, Mohamed.
2002.
« A new feedforward neural network pruning algorithm: SSM-Iterative pruning (SSMIP) ».
In IEEE International Conference on Systems, Man and Cybernetics (Hammamet, Tunisia, Oct. 6-9, 2002)
pp. 342-347.
Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers.
Fnaiech, Nader, Fnaiech, Farhat, Jervis, B. W. et Cheriet, Mohamed.
2009.
« The combined statistical stepwise and iterative neural network pruning algorithm ».
Intelligent Automation and Soft Computing, vol. 15, nº 4.
pp. 573-589.
Fonseca, Jesús, De-la-Torre, Miguel, Cervantes, Salvador, Granger, Eric et Mejia, Jezreel.
2021.
« COMET-OCEP: A software process for research and development ».
In New Perspectives in Software Engineering : Proceedings of the 9th International Conference on Software Process Improvement (CIMPS 2020) (Mazatlán, Mexico, Oct. 21-23, 2020)
Coll. « Advances in Intelligent Systems and Computing », vol. 1297.
pp. 99-112.
Springer.
Forghani, Nosratallah, Forouzanfar, Mohamad, Eftekhari, Armin, Mohammad-Moradi, Shahab et Teshnehlab, Mohammad.
2009.
« Application of particle swarm optimization in accurate segmentation of brain MR images ».
In
Particle Swarm Optimization.
pp. 203-222. London, UK : IntechOpen.
Forghani, Nosratallah, Forouzanfar, Mohamad et Forouzanfar, Elham.
2007.
« MRI fuzzy segmentation of brain tissue using IFCM algorithm with particle swarm optimization ».
In 22nd International Symposium on Computer and Information Sciences (ISCIS) (Ankara, Turkey, Nov. 07-09, 2007)
pp. 246-249.
IEEE Computer Society.
Forghani, Nosratallah, Maghooli, Keivan, Dabanloo, Nader Jafarnia, Farahani, Ali Vasheghani et Forouzanfar, Mohamad.
2022.
« DeepPAD: Detection of peripheral arterial disease using deep learning ».
IEEE Sensors Journal, vol. 22, nº 16.
pp. 16254-16262.
Forghani, Nosratallah, Maghooli, Keivan, Dabanloo, Nader Jafarnia, Farahani, Ali Vasheghani et Forouzanfar, Mohamad.
2021.
« Intelligent oscillometric system for automatic detection of peripheral arterial disease ».
IEEE Journal of Biomedical and Health Informatics, vol. 25, nº 8.
pp. 3209-3218.
Forghani, Nosratallah, Maghooli, Keivan, Jafarnia Dabanloo, Nader, Vasheghani Farahani, Ali et Forouzanfar, Mohamad.
2021.
« Automated, portable, and low-cost system for home screening of peripheral arterial disease ».
In IEEE International Symposium on Medical Measurements and Applications (MeMeA) (Lausanne, Switzerland - En ligne, June 23-25, 2021)
Institute of Electrical and Electronics Engineers Inc..
Foroozanfar, Elham, Forouzanfar, Mohamad, Farkhondeh, Tahereh, Samarghandian, Saeed et Forouzanfar, Fatemeh.
2021.
« ACE2 as a potential target for management of novel coronavirus (nCoV-2019) ».
Current Drug Discovery Technologies, vol. 18, nº 6.
Forouzanfar, M., Abrishami-Moghaddam, H. et Dehghani, M..
2010.
« A new effective approach for enhancement of SAR images based on extraction of interscale dependencies in the wavelet domain ».
Geosciences, vol. 19, nº 76.
pp. 9-16.
Forouzanfar, M., Dajani, H. R., Groza, V. Z., Bolic, M. et Rajan, S..
2010.
« Comparison of feed-forward neural network training algorithms for oscillometric blood pressure estimation ».
In 4th International Workshop on Soft Computing Applications (SOFA) (Arad, Romania, July 15-17, 2010)
pp. 119-123.
Piscataway, NJ, USA : IEEE.
Forouzanfar, M. et Moghaddam, H. A..
2007.
« A directional multiscale approach for speckle reduction in optical coherence tomography images ».
In International Conference on Electrical Engineering (ICEE) (Lahore, Pakistan, Apr. 11-12, 2007)
IEEE Computer Society.
Forouzanfar, Mohamad, Abrishami Moghaddam, Hamid et Gity, Masoumeh.
2010.
« A new multiscale Bayesian algorithm for speckle reduction in medical ultrasound images ».
Signal, Image and Video Processing, vol. 4, nº 3.
pp. 359-375.
Forouzanfar, Mohamad et Abrishami-Moghaddam, Hamid.
2011.
« Ultrasound speckle reduction in the complex wavelet domain ».
In
Principles of Waveform Diversity and Design.
pp. 558-577. Institution of Engineering and Technology.
Forouzanfar, Mohamad, Ahmad, Saif, Batkin, Izmail, Dajani, Hilmi R., Groza, Voicu Z. et Bolic, Miodrag.
2013.
« Coefficient-free blood pressure estimation based on pulse transit time-cuff pressure dependence ».
IEEE Transactions on Biomedical Engineering, vol. 60, nº 7.
pp. 1814-1824.
Forouzanfar, Mohamad, Ahmad, Saif, Batkin, Izmail, Dajani, Hilmi R., Groza, Voicu Z. et Bolic, Miodrag.
2015.
« Model-based mean arterial pressure estimation using simultaneous electrocardiogram and oscillometric blood pressure measurements ».
IEEE Transactions on Instrumentation and Measurement, vol. 64, nº 9.
pp. 2443-2452.
Forouzanfar, Mohamad, Baker, Fiona C., Colrain, Ian M. et de Zambotti, Massimiliano.
2019.
« Automatic artifact detection in impedance cardiogram using pulse similarity index ».
In 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (Berlin, Allemagne, July 23-27, 2019)
pp. 2629-2632.
IEEE.
Forouzanfar, Mohamad, Baker, Fiona C., Colrain, Ian M. et de Zambotti, Massimiliano.
2019.
« Electroencephalographic slow-wave activity during sleep in different phases of blood pressure and respiration oscillations ».
In 41st Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (Berlin, Allemagne, July 23-27, 2019)
pp. 2564-2567.
IEEE.
Forouzanfar, Mohamad, Baker, Fiona C., Colrain, Ian M., Goldstone, Aimée et de Zambotti, Massimiliano.
2019.
« Automatic analysis of pre-ejection period during sleep using impedance cardiogram ».
Psychophysiology, vol. 56, nº 7.
Forouzanfar, Mohamad, Baker, Fiona C., de Zambotti, Massimiliano, Claudatos, Stephanie, Chai, Bing-Bing, Bergen, James et Lubin, Jeffrey.
2021.
« Physiological synchrony: A new approach toward identifying unknown presentation attacks on biometric systems ».
IEEE Transactions on Instrumentation and Measurement, vol. 70.
Forouzanfar, Mohamad, Baker, Fiona C., de Zambotti, Massimiliano, McCall, Corey, Giovangrandi, Laurent et Kovacs, Gregory T. A..
2018.
« Toward a better noninvasive assessment of preejection period: A novel automatic algorithm for B-point detection and correction on thoracic impedance cardiogram ».
Psychophysiology, vol. 55, nº 8.
Forouzanfar, Mohamad, Balasingam, Balakumar, Dajani, Hilmi R., Groza, Voicu Z., Bolic, Miodrag, Rajan, Sreeraman et Petriu, Emil M..
2012.
« Mathematical modeling and parameter estimation of blood pressure oscillometric waveform ».
In IEEE Symposium on Medical Measurements and Applications (MeMeA) (Budapest, Hungary, May 18-19, 2012)
pp. 208-213.
IEEE Computer Society.
Forouzanfar, Mohamad, Dajani, Hilmi R., Groza, Voicu Z. et Bolic, Miodrag.
2014.
« Model-based oscillometric blood pressure estimation ».
In IEEE International Symposium on Medical Measurements and Applications (MeMeA) (Lisbon, Portugal, June 11-12, 2014)
IEEE.
Forouzanfar, Mohamad, Dajani, Hilmi R., Groza, Voicu Z., Bolic, Miodrag et Rajan, Sreeraman.
2010.
« Adaptive neuro-fuzzy inference system for oscillometric blood pressure estimation ».
In IEEE International Workshop on Medical Measurements and Applications (MeMeA) (Ottawa, ON, Canada, Apr. 30 - May 01, 2010)
pp. 125-129.
IEEE Computer Society.
Forouzanfar, Mohamad, Dajani, Hilmi R., Groza, Voicu Z., Bolic, Miodrag et Rajan, Sreeraman.
2011.
« Feature-based neural network approach for oscillometric blood pressure estimation ».
IEEE Transactions on Instrumentation and Measurement, vol. 60, nº 8.
pp. 2786-2796.
Forouzanfar, Mohamad, Dajani, Hilmi R., Groza, Voicu Z., Bolic, Miodrag et Rajan, Sreeraman.
2009.
« Oscillometric blood pressure estimation using principal component analysis and neural networks ».
In IEEE Toronto International Conference - Science and Technology for Humanity (TIC-STH'09) (Toronto, ON, Canada, Sept. 26-27, 2009)
pp. 981-986.
IEEE Computer Society.
Forouzanfar, Mohamad, Dajani, Hilmi R., Groza, Voicu Z., Bolic, Miodrag, Rajan, Sreeraman et Batkin, Izmail.
2016.
« Bayesian fusion algorithm for improved oscillometric blood pressure estimation ».
Medical Engineering and Physics, vol. 38, nº 11.
pp. 1300-1304.
Forouzanfar, Mohamad, Dajani, Hilmi R., Groza, Voicu Z., Bolic, Miodrag, Rajan, Sreeraman et Batkin, Izmail.
2015.
« Oscillometric blood pressure estimation: Past, present, and future ».
IEEE Reviews in Biomedical Engineering, vol. 8.
pp. 44-63.
Forouzanfar, Mohamad, Dajani, Hilmi R., Groza, Voicu Z., Bolic, Miodrag, Rajan, Sreeraman et Batkin, Izmail.
2014.
« Ratio-independent blood pressure estimation by modeling the oscillometric waveform envelope ».
IEEE Transactions on Instrumentation and Measurement, vol. 63, nº 10.
pp. 2501-2503.
Forouzanfar, Mohamad, de Zambotti, Massimiliano, Goldstone, Aimée et Baker, Fiona C..
2018.
« Automatic detection of hot flash occurrence and timing from skin conductance activity ».
In 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC) (Honolulu, HI, USA, July 18-21, 2018)
pp. 1090-1093.
IEEE.
Forouzanfar, Mohamad, Forghani, Nosratallah et Teshnehlab, Mohammad.
2010.
« Parameter optimization of improved fuzzy c-means clustering algorithm for brain MR image segmentation ».
Engineering Applications of Artificial Intelligence, vol. 23, nº 2.
pp. 160-168.
Forouzanfar, Mohamad, Mabrouk, Mohamed, Rajan, Sreeraman, Bolic, Miodrag, Dajani, Hilmi R. et Groza, Voicu Z..
2017.
« Event recognition for contactless activity monitoring using phase-modulated continuous wave radar ».
IEEE Transactions on Biomedical Engineering, vol. 64, nº 2.
pp. 479-491.
Forouzanfar, Mohamad, Moghaddam, Hamid Abrishami et Dehghani, Maryam.
2007.
« Speckle reduction in medical ultrasound images using a new multiscale bivariate Bayesian MMSE-based method ».
In IEEE 15th Signal Processing and Communications Applications (SIU) (Eskisehir, Turkey, June 11-13, 2007)
IEEE Computer Society.
Forouzanfar, Mohamad, Moghaddam, Hamid Abrishami et Ghadimi, Sona.
2008.
« Locally adaptive multiscale bayesian method for image denoising based on bivariate normal inverse gaussian distributions ».
International Journal of Wavelets, Multiresolution and Information Processing, vol. 06, nº 04.
pp. 653-664.
Fournier, M. et Lepage, Richard.
2003.
« Implicit surface-based geometric fusion : efficient and improved implementation for a hand-held 3D camera ».
In 3rd IASTED International Conference on Visualization , Imaging and Image Processing (Benalmádena, Spain, Sept. 8-10, 2003)
pp. 1077-1082.
ACTA Press.
Freitas, C. A., Bortolozzi, F. et Sabourin, Robert.
2004.
« Study of perceptual similarity between different lexicons ».
International Journal of Pattern Recognition and Artificial Intelligence, vol. 18, nº 7.
pp. 1321-1338.
Freitas, C. O. A., Bortolozzi, Flavio et Sabourin, Robert.
2001.
« Handwritten isolated word recognition: an approach based on Mutual Information for feature set validation ».
In Proceedings of Sixth International Conference on Document Analysis and Recognition (Seattle, WA, USA, Sept. 10-13, 2001)
pp. 665-669.
Los Aalmitos, CA, USA : IEEE Comput. Soc.
Freitas, C. O. A., Carvalho, J. M., Oliveira, J. J. Jnr, Aires, S. B. K. et Sabourin, Robert.
2007.
« Distance-based disagreement classifiers combination ».
In International Joint Conference on Neural Networks (IJCNN) (Orlando, FL, USA, Aug. 12-17, 2007)
pp. 2729-2733.
Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers.
Freitas, C. O. de A., El Yacoubi, A., Botolozzi, F. et Sabourin, R..
2000.
« Isolated word recognition in brazilian bank check legal amounts ».
In Fourth IAPR International Workshop on Document Analysis Systems, (DAS 2000) (Rio de Janeiro, Brazil, Dec. 10-13, 2000)
pp. 276-290.
Freitas, C., Bortolozzi, F. et Sabourin, R..
1998.
« Reconhecimento do extenso manuscrito em cheques bancàrios brasileiros ».
In ISDM'98-International Seminar on Document Management (Curitiba, Brasil, Nov. 10-11, 1998)
pp. 149-167.
Freitas, C., Bortolozzi, F., Sabourin, R. et Facon, J..
1998.
« Bases de dados de cheques bancarios brasileiros ».
In ISDM'98-International Seminar on Document Management (Curitiba, Brasil, Nov. 10-11, 1998)
pp. 209-226.
Freitas, Cinthia O. A., Bortolozzi, Flavio et Sabourin, Robert.
2004.
« A strategy for selecting classes of symbols from classes of graphemes in HMM-based handwritten word recognition ».
Revista Eletrônica de Sistemas de Informação, vol. 3, nº 1.
Freitas, Cinthia O. A., Bortolozzi, Flavio et Sabourin, Robert.
2003.
« Study of perceptual similarity between different lexicons ».
In 11th IGS conference (Scottsdale, AZ, USA, Nov. 2-5, 2003)
pp. 204-207.
Freitas, Cinthia O. A., De Carvalho, Joao M., Oliveira Jr, Jose Josemar, Aires, Simone B. K. et Sabourin, Robert.
2007.
« Confusion matrix disagreement for multiple classifiers ».
In Progress in Pattern Recognition, Image Analysis and Applications :12th Iberoamericann Congress on Pattern Recognition, CIARP 2007, Valparaiso, Chile, November 13-16, 2007. Proceedings (Vina del Mar-Valparaiso, Chile, Nov.13-16, 2007)
Coll. « Lecture Notes in Computer Science », vol. 4756.
pp. 387-396.
Heidelberg, Germany : Springer Verlag.
Freitas, Cinthia O. A., Oliveira, Luiz S., Sabourin, Robert et Bortolozzi, Flàvio.
2008.
« Brazilian forensic letter database ».
In 11th International Conference on Frontiers in Handwriting Recognition (ICFHR) (Montreal, Canada, Aug. 19-21, 2008)
Freitas, Cinthia O. de A., Morita, Marisa, Soares de Oliveira, Luiz E., Justino, Edson, El Yacoubi, Abdenaim, Lethelier, Edouard, Bortolozzi, Flavio et Sabourin, Robert.
2000.
« Bases de dados de cheques bancarios brasileiros ».
In CLEI 2000, memorias (Monterrey, Mexico, Sept. 18-22, 2000)
Mexico : TEC de Monterrey.
Frisken, S., Luo, M., MacHado, I., Unadkat, P., Juvekar, P., Bunevicius, A., Toews, M., Wells, W. M., Miga, M. I. et Golby, A. J..
2019.
« Preliminary results comparing thin-plate splines with finite element methods for modeling brain deformation during neurosurgery using intraoperative ultrasound ».
In Medical Imaging 2019: Image-Guided Procedures, Robotic Interventions, and Modeling (San Diego, CA, USA, Feb. 17-19, 2019)
Coll. « Proceedings of SPIE », vol. 10951.
SPIE.
Frisken, Sarah, Luo, Ma, Juvekar, Parikshit, Bunevicius, Adomas, Machado, Ines, Unadkat, Prashin, Bertotti, Melina M., Toews, Matt, Wells, William M., Miga, Michael I. et Golby, Alexandra J..
2020.
« A comparison of thin-plate spline deformation and finite element modeling to compensate for brain shift during tumor resection ».
International Journal of Computer Assisted Radiology and Surgery, vol. 15, nº 1.
pp. 75-85.
Gaillochet, Mélanie, Desrosiers, Christian et Lombaert, Hervé.
2023.
« Active learning for medical image segmentation with stochastic batches ».
Medical Image Analysis, vol. 90.
Gaillochet, Mélanie, Desrosiers, Christian et Lombaert, Hervé.
2022.
« TAAL: Test-time augmentation for active learning in medical image segmentation ».
In Data Augmentation, Labelling, and Imperfections : Second MICCAI Workshop, DALI 2022, Held in Conjunction with MICCAI 2022 : Proceedings (Singapore, Singapore, Sept. 22, 2022)
Coll. « Lecture Notes in Computer Science », vol. 13567.
pp. 43-53.
Springer.
Galdran, A., Chakor, H., Kabir, W., Kobbi, R., Liu, B., Dolz, J. et Ben Ayed, I..
2022.
« An automatic deep learning-based system for screening and management of DME ».
[Résumé d'une communication à une conférence]. Diabetes Research and Clinical Practice, vol. 186, nº Suppl. 1.
pp. 4-5.
Galdran, Adrian, Anjos, André, Dolz, José, Chakor, Hadi, Lombaert, Hervé et Ben Ayed, Ismail.
2022.
« State-of-the-art retinal vessel segmentation with minimalistic models ».
Scientific Reports, vol. 12, nº 1.
Galdran, Adrian, Chakor, Hadi, Abdulaziz, Abdulaziz, Kobbi, Ryad, Christodoulidis, Argyrios, Chelbi, Jihed, Racine, Marc-André et Ben Ayed, Ismail.
2019.
« Automatic classification and triage of diabetic retinopathy from retinal images based on a convolutional neural networks (CNN) method ».
[Résumé d'une communication à une conférence]. Acta Ophthalmologica, vol. 97.
p. 2.
Galdran, Adrian, Chelbi, Jihed, Kobi, Riadh, Dolz, José, Lombaert, Hervé, Ben Ayed, Ismail et Chakor, Hadi.
2020.
« Non-uniform label smoothing for diabetic retinopathy grading from retinal fundus images with deep neural networks ».
Translational Vision Science and Technology, vol. 9, nº 2.
Galdran, Adrian, Dolz, Jose, Chakor, Hadi, Lombaert, Hervé et Ben Ayed, Ismail.
2020.
« Cost-sensitive regularization for diabetic retinopathy grading from eye fundus images ».
In Medical Image Computing and Computer Assisted Intervention – MICCAI 2020: 23rd International Conference, Lima, Peru, October 4–8, 2020, Proceedings, Part V (Lima, Peru, Oct. 04-08, 2020)
Coll. « Lecture Notes in Computer Science », vol. 12265.
pp. 665-674.
Springer International Publishing.
Garcia, Gabriel, Colomer, Adrian, Verdu-Monedero, Rafael, Dolz, Jose et Naranjo, Valery.
2021.
« A self-training framework for glaucoma grading in OCT B-scans ».
In 29th European Signal Processing Conference (EUSIPCO) (Dublin, Ireland, Aug. 23-27, 2021)
pp. 1281-1285.
IEEE.
Garcia-Cano, Edgar C., Rabil, Bassem S. et Sabourin, Robert.
2012.
« A parallel watermarking application on a GPU ».
In Congreso internacional de investigacin̤ en nuevas tecnologa̕s informt̀icas (CIINTI 2012) (Tunja, Colombia, Sept. 14, 2012)
Tunja Universidad Santo Toms̀.
Garnes, S. J. A., Morita, M. E., Facon, J., Sampaio, R., Bortolozzi, F. et Sabourin, R..
1999.
« Correcting handwriting baseline skew using direct methods on the weighted least squares ».
In XXXI Simpósio Brasileiro de Pesquisa Operacional, 1999, Juiz de Fora (Juiz de Fora, Brasil, Oct. 20-22, 1999)
pp. 184-196.
Gatto, Bernardo B., dos Santos, Eulanda M., Koerich, Alessandro L., Fukui, Kazuhiro et S. Júnior, Waldir S..
2021.
« Tensor analysis with n-mode generalized difference subspace ».
Expert Systems with Applications, vol. 171.
Gatto, Bernardo Bentes, Colonna, Juan Gabriel, dos Santos, Eulanda Mirando, Lameiras Koerich, Alessandro et Fukui, Kazuhiro.
2023.
« Discriminative singular spectrum classifier with applications on bioacoustic signal recognition ».
Digital Signal Processing, vol. 133.
Ghaib, Maha, Shateri, MohammadHadi, Thomson, Douglas et Svecova, Dagmar.
2024.
« Comparison between microstructural analysis of GFRP and CFRP rebars using micro computed tomography (μCT), scanning electron microscope (SEM), and acoustic emission (AE) techniques ».
Composites Science and Technology, vol. 250.
Ghaib, Maha, Shateri, Mohammadhadi, Thomson, Douglas et Svecova, Dagmar.
2018.
« Study of FRP bars under tension using acoustic emission detection technique ».
Journal of Civil Structural Health Monitoring, vol. 8, nº 2.
pp. 285-300.
Ghassabeh, Youness Aliyari, Forghani, Nosratallah, Forouzanfar, Mohamad et Teshnehlab, Mohammad.
2007.
« MRI fuzzy segmentation of brain tissue using IFCM algorithm with genetic algorithm optimization ».
In IEEE/ACS International Conference on Computer Systems and Applications (AICCSA) (Amman, Jordan, May 13-16, 2007)
pp. 665-668.
IEEE.
Ghodrati, Amir, Diba, Ali, Pedersoli, Marco, Tuytelaars, Tinne et Van Gool, Luc.
2017.
« DeepProposals: Hunting objects and actions by cascading deep convolutional layers ».
International Journal of Computer Vision, vol. 124, nº 2.
pp. 115-131.
Gill, Gurman, Toews, Matthew et Beichel, Reinhard R..
2013.
« An automated initialization system for robust model-based segmentation of lungs in CT data ».
In The Fifth International Workshop on Pulmonary Image Analysis (Nagoya, Japan, Sept. 26, 2013)
pp. 111-122.
MICCAI.
Girod, D., Landry, J. A., Doyon, G., Osuna-Garcìa, J.A., Salazar-Garcia, S. et Goenaga, R..
2008.
« Evaluating hass avocado maturity using hyperspectral imaging ».
In Proceedings of the 44th Anual Meeting Caribbean Food Crops Society : Repositioning Caribbean Agriculture : Challenges and Opportunities for Sustainability (Miami, FL, USA, July 13-17, 2008)
pp. 144-154.
Caribbean Food Crops Society.
Goel, Pradeep K., Prasher, Shiv O., Landry, Jacques-André, Patel, Ramanbhai M., Bonnell, R. B., Viau, Alain A. et Miller, J. R..
2003.
« Potential of airborne hyperspectral remote sensing to detect nitrogen deficiency and weed infestation in corn ».
Computers and Electronics in Agriculture, vol. 38, nº 2.
pp. 99-124.
Goel, Pradeep K., Prasher, Shiv O., Landry, Jacques-André, Patel, Ramanbhai M. et Viau, Alain A..
2003.
« Hyperspectral image classification to detect weed infestations and nitrogen status in corn ».
Transactions of the American Society of Agricultural Engineers, vol. 46, nº 2.
pp. 539-550.
Goel, Pradeep K., Prasher, Shiv O., Landry, Jacques-André, Patel, Ramanbhai M., Viau, Alain A. et Miller, John R..
2003.
« Estimation of crop biophysical parameters through Airborne and field hyperspectral remote sensing ».
Transactions of the American Society of Agricultural Engineers, vol. 46, nº 4.
pp. 1235-1246.
Goel, Pradeep K., Prasher, Shiv O., Patel, Ramanbhai M., Landry, Jacques-André, Bonnell, R. B. et Viau, Alain A..
2003.
« Classification of hyperspectral data by decision trees and artificial neural networks to identify weed stress and nitrogen status of corn ».
Computers and Electronics in Agriculture, vol. 39, nº 2.
pp. 67-93. Goenaga, R., Salazar-Garcìa, S., Doyon, G., Osuna-Garcìa, J.A., Gonzalez-Duran, I.J.L. et Landry, Jacques-André. 2008. « Procinorte's tropical and subtropical fruits task force : a tri-national effort to improve fruit quality and trade. ». Affiche numéro 22 présentée lors de la conférence : 44th Annual Meeting of Caribbean Food Crops Society (Miami, FL, USA, July 13-17, 2008).
Golaghazadeh, Firouzeh, Djukic, Petar, Tremblay, Christine et Desrosiers, Christian.
2020.
« Forecasting SNR margins has low-complexity ».
In Proceedings OSA Advanced Photonics Congress (AP) 2020 (IPR, NP, NOMA, Networks, PVLED, PSC, SPPCom, SOF) (Washington, DC, USA, July 13-16, 2020)
OSA - The Optical Society.
Golizadeh, Nassibeh, Golizadeh, Mahdi et Forouzanfar, Mohamad.
2022.
« Adversarial grammatical error generation: Application to Persian language ».
International Journal on Natural Language Computing, vol. 11, nº 4.
pp. 19-28.
Gopinath, Karthik, Desrosiers, Christian et Lombaert, Herve.
2019.
« Adaptive graph convolution pooling for brain surface analysis ».
In Information Processing in Medical Imaging : 26th International Conference, IPMI : Proceedings (Hong Kong, China, June 02-07, 2019)
Coll. « Lecture Notes in Computer Science », vol. 11492.
pp. 86-98.
Springer Verlag.
Gopinath, Karthik, Desrosiers, Christian et Lombaert, Herve.
2019.
« Graph convolutions on spectral embeddings for cortical surface parcellation ».
Medical Image Analysis, vol. 54.
pp. 297-305.
Gopinath, Karthik, Desrosiers, Christian et Lombaert, Hervé.
2020.
« Graph domain adaptation for alignment-invariant brain surface segmentation ».
In Uncertainty for Safe Utilization of Machine Learning in Medical Imaging, and Graphs in Biomedical Image Analysis : Second International Workshop, UNSURE 2020, and Third International Workshop, GRAIL 2020, Held in Conjunction with MICCAI 2020, Lima, Peru, (Lima, Peru, Oct. 08, 2020)
Coll. « Lecture Notes in Computer Science », vol. 12443.
pp. 152-163.
Springer.
Gopinath, Karthik, Desrosiers, Christian et Lombaert, Herve.
2022.
« Learnable pooling in graph convolutional networks for brain surface analysis ».
IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 44, nº 2.
pp. 864-876.
Gopinath, Karthik, Desrosiers, Christian et Lombaert, Herve.
2023.
« Learning joint surface reconstruction and segmentation, from brain images to cortical surface parcellation ».
Medical Image Analysis, vol. 90.
Gopinath, Karthik, Desrosiers, Christian et Lombaert, Herve.
2021.
« SegRecon : Learning joint brain surface reconstruction and segmentation from images ».
In Medical Image Computing and Computer Assisted Intervention – MICCAI 2021 : 24th International Conference, Strasbourg, France, September 27 – October 1, 2021, Proceedings, Part VII (Strasbourg, France, Sept. 27-Oct. 01, 2021)
Coll. « Lecture Notes in Computer Science », vol. 12907.
pp. 650-659.
Springer Science and Business Media.
Gorelick, Lena, Boykov, Yuri, Veksler, Olga, Ben Ayed, Ismail et Delong, Andrew.
2017.
« Local submodularization for binary pairwise energies ».
IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 39, nº 10.
pp. 1985-1999.
Gorodnichy, Dmitry O., Dubrofsky, Elan, Hoshino, Richard, Khreich, Wael, Granger, Éric et Sabourin, Robert.
2011.
« Exploring the upper bound performance limit of iris biometrics using score calibration and fusion ».
In IEEE Workshop on Computational Intelligence in Biometrics and Identity Management (CIBIM) (Paris, France, Apr. 11-15, 2011)
pp. 54-61.
Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers.
Gorodnichy, Dmitry O., Granger, Eric et Radtke, Paolo.
2014.
« Survey of commercial technologies for face recognition in video ».
Coll. « Contract Report », vol. DRDC-RDDC-2014-C245.
Agence des services frontaliers du Canada = Canada Border Services Agency. 35 p.
Gorodnichy, Dmitry et Granger, Éric.
2014.
« Target-based evaluation of face recognition technology for video surveillance applications ».
In IEEE Workshop on Computational Intelligence in Biometrics and Identity Management (CIBIM) (Orlando, FL, USA, Dec. 9-12, 2014)
pp. 110-117.
IEEE Computer Society.
Grandidier, F., Sabourin, R., El-Yacoubi, A., Gilloux, M. et Suen, C. Y..
1999.
« Influence of word length on handwriting recognition ».
In Proceedings of the Fifth International Conference on Document Analysis and Recognition, 1999. ICDAR '99 (Bangalore, India, Sept. 20-22, 1999)
pp. 777-780.
Piscataway, NJ, USA : IEEE.
Grandidier, F., Sabourin, R., Suen, C. Y. et Gilloux, M..
2000.
« A new strategy for improving feature sets in a discrete HMM-based handwriting recognition system ».
In 7th International Workshop on Frontiers in Handwriting Recognition : September 11-13, 2000, Amsterdam, the Netherlands : proceedings (Amsterdam, The Netherlands, Sept. 11-13, 2000)
pp. 113-122.
Nijmegen [Netherlands] : International Unipen Foundation.
Grandidier, F., Sabourin, R., Suen, C. Y. et Gilloux, M..
2000.
« Une nouvelle stratégie pour l'amélioration des jeux de primitives d'un système de reconnaissance de l'écriture ».
In CIFED'2000. Colloque International Francophone sur l'Écrit et le Document (Lyon, France, 3-5 juil. 2000)
pp. 111-120.
Lausanne, Suisse : Presses polytechniques et universitaires romandes.
Grandidier, Frédéric, Sabourin, Robert, Gilloux, M et Suen, C. Y..
2001.
« An a priori indicator of the discrimination power of discrete hidden Markov models ».
In Proceedings of Sixth International Conference on Document Analysis and Recognition (Seattle, WA, USA, Sept. 10-13, 2001)
pp. 350-354.
Los Aalmitos, CA, USA : Institute of Electrical and Electronics Engineers Computer Society.
Grandidier, Frédéric, Sabourin, Robert et Suen, Ching Y..
2004.
« Quelques techniques pour l'amélioration du pouvoir discriminant de primitives discrètes ».
In Actes du huitième Colloque international francophone sur l'écrit et le document, CIFED'04, 21 - 25 juin 2004, La Rochelle (La Rochelle, France, 21-25 juin 2004)
pp. 111-116.
Granger, E., Blaquière, Y., Savaria, Y., Cantin, M.-A. et Lavoie, P..
1996.
« A VLSI architecture for fast clustering with the fuzzy ART neural networks ».
In Proceedings of the International Workshop on Neural Networks for Identification, Control, Robotics and Signal/Image Processing (NICROSP'96) (Venice, Italy, Aug. 21-23, 1996)
pp. 117-125.
IEEE.
Granger, E., Gorodnichy, D. O., Choy, E., Khreich, W., Radtke, P., Bergeron, J.-P. et Bissessar, D..
2014.
« Results from evaluation of three commercial off-the-shelf face recognition systems on chokepoint dataset ».
Coll. « Contract Report », vol. DRDC-RDDC-2014-C247.
Agence des services frontaliers du Canada = Canada Border Services Agency. 76 p.
Granger, E., Rubin, M. A., Grossberg, S. et Lavoie, P..
2000.
« Classification of incomplete data using the fuzzy ARTMAP neural network ».
In Neural computing: new challenges and perspectives for the new millennium : proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, IJCNN 2000, Como, Italy, 24 - 27 July 2000
pp. 35-40.
Los Alamitos, Calif : IEEE Computer Society.
Granger, E., Savaria, Y., Blaquière, Y., Cantin, M.-A. et Lavoie, P..
1997.
« A VLSI architecture for fast clustering with the fuzzy ART neural network ».
Journal of Microelectronic Systems Integration, vol. 5, nº 1.
pp. 3-18.
Granger, Éric, Catudal, Serge, Grou, Robert, Mbaye, Mame Maria et Savaria, Yvon.
2004.
« On current strategies for hardware acceleration of digital image restoration filters ».
WSEAS Transactions on Electronics, vol. 1, nº 3.
pp. 551-557.
Granger, Éric, Connolly, Jean-Francois et Sabourin, Robert.
2008.
« A comparison of fuzzy ARTMAP and Gaussian ARTMAP neural networks for incremental learning ».
In IEEE International Joint Conference on Neural Networks (IJCNN) (Hong Kong, China, June 1-8, 2008)
pp. 3305-3312.
Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers.
Granger, Eric et Gorodnichy, Dmitry O..
2014.
« Evaluation methodology for face recognition technology in video surveillance applications ».
Coll. « Contract Report », vol. DRDC-RDDC-2014-C249.
Agence des services frontaliers du Canada = Canada Border Services Agency. 76 p.
Granger, Eric, Grossberg, Stephen, Lavoie, Pierre et Rubin, Mark A..
1999.
« A comparison of classifiers for radar emitter type identification ».
In Smart engineering system design: neural networks, fuzzy logic, evolutionary programming, data mining and complex systems : proceedings of the Artificial Neural Networks in Engineering Conference (ANNIE '99) (St-Louis, MO, USA, Nov. 7-10, 1999)
Coll. « Intelligent engineering systems through artificial neural networks », vol. 9.
pp. 3-12.
New York : ASME Press.
Granger, Eric, Grossberg, Stephen, Rubin, Mark A. et Streilein, William W..
1999.
« Familiarity discrimination of radar pulses ».
In Advances in neural information processing systems 11 : proceedings of the 1998 conference (Denver, CO, USA, Nov. 30-Dec. 5, 1998)
pp. 875-881.
Cambridge, Massachusetts : MIT Press.
Granger, Éric, Henniges, P., Oliveira, L.S. et Sabourin, Robert.
2006.
« Particle swarm optimization of fuzzy ARTMAP parameters ».
In International Joint Conference on Neural Networks (IJCNN) (Vancouver, Canada, Jul. 16-21, 2006)
pp. 2060-2067.
Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers.
Granger, Éric, Henniges, Philippe, Sabourin, Robert et Oliveira, Luis S..
2010.
« Match tracking strategies for fuzzy ARTMAP neural networks ».
In
Handbook of Pattern Recognition and Computer Vision.
4th ed.
pp. 73-100. Hackensack, NJ, USA : World Scientific Publishing.
Granger, Éric, Henniges, Philippe, Sabourin, Robert et Oliveira, Luiz S..
2007.
« Supervised learning of fuzzy ARTMAP neural networks through particle swarm optimization ».
Journal of Pattern Recognition Research, vol. 2, nº 1.
pp. 27-60.
Granger, Éric, Khreich, W., Sabourin, Robert et Gorodnichy, D. O..
2012.
« Fusion of biometric systems using Boolean combination: an application to iris-based authentication ».
International Journal of Biometrics, vol. 4, nº 3.
pp. 291-315.
Granger, Eric et Lefrançois, Germain.
2008.
« Novelty detection with probabilistic ARTMAP neural networks ».
In Smart Systems Engineering—Computational Intelligence in Architecting Engineering Systems (St-Louis, MO, USA, Nov. 9-12, 2008)
Coll. « Intelligent Engineering Systems through Artificial Neural Networks », vol. 18.
The American Society of Mechanical Engineers.
Granger, Eric, Radtke, Paolo et Gorodnichy, Dmitry O..
2014.
« Survey of academic research and prototypes for face recognition in video ».
Coll. « Contract Report », vol. DRDC-RDDC-2014-C246.
Agence des services frontaliers du Canada = Canada Border Services Agency. 35 p.
Granger, Eric, Rubin, Mark A., Grossberg, Stephen et Lavoie, Pierre.
2001.
« A What-and-Where fusion neural network for recognition and tracking of multiple radar emitters ».
Neural Networks, vol. 14, nº 3.
pp. 325-344.
Granger, Eric, Rubin, Mark A., Grossberg, Stephen et Lavoie, Pierre.
2001.
« Radar ESM with a what-and-where fusion neural network ».
In Neural Networks for Signal Processing XI : Proceedings of the 2001 IEEE Signal Processing Society Workshop (North Falmouth, MA, USA, Sept. 10-12, 2001)
pp. 539-548.
Piscataway, NJ, USA : IEEE.
Granger, Eric, Savaria, Yvon et Lavoie, Pierre.
2003.
« A pattern reordering approach based on ambiguity detection for online category learning ».
IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 25, nº 4.
pp. 524-528.
Granger, Eric, Savaria, Yvon, Lavoie, Pierre et Cantin, Marc-André.
1998.
« A comparison of self-organizing neural networks for fast clustering of radar pulses ».
Signal Processing, vol. 64, nº 3.
pp. 249-269. Gravel, A., Lepage, Richard et de Guise, Jacques A.. 1998. « Optimisation des contours actifs par un réseau de Hopfield pour la détection des médianes costales à partir de radiographies ». Communication lors de la conférence : 66e Congrès de l'ACFAS (Québec, QC, Canada, 11-13 mai 1998).
Grégoire, Normand, Lepage, Richard et Redarce, Tanneguy.
1999.
« From CAD to geons : a simplified data representation for rapid indexing of large CAD models database ».
In Machine Vision Applications in Industrial Inspection VII (San Jose, CA, USA, Jan. 25-26, 1999)
Coll. « Proceedings of SPIE », vol. 3652.
pp. 224-231.
USA : SPIE.
Guerrero Peña, Fidel A., Medeiros, Heitor Rapela, Dubail, Thomas, Aminbeidokhti, Masih, Granger, Eric G. et Pedersoli, Marco.
2023.
« Re-basin via implicit Sinkhorn differentiation ».
In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (Vancouver, BC, Canada, June 17-24, 2023)
pp. 20237-20246.
IEEE Computer Society.
Guerroumi, Nassim, Playout, Clément, Laporte, Catherine et Cheriet, Farida.
2019.
« Automatic segmentation of the scoliotic spine from MR images ».
In IEEE 16th International Symposium on Biomedical Imaging (ISBI) (Venice, Italy, Apr. 08-11, 2019)
pp. 480-484.
IEEE Computer Society. Gueziri, H. E., McGuffin, M. J. et Laporte, C.. 2017. « User performance in interactive medical image segmentation ». Communication lors de la conférence : 2nd IEEE Research Boost "Give your research an industrial edge" (Montreal, QC, Canada, Apr. 06, 2017).
Gueziri, Houssem-Eddine, McGuffin, Michael J. et Laporte, Catherine.
2018.
« Latency management in scribble-based interactive segmentation of medical images ».
IEEE Transactions on Biomedical Engineering, vol. 65, nº 5.
pp. 1140-1150.
Gueziri, Houssem-Eddine, Tremblay, Sebastien, Laporte, Catherine et Brooks, Rupert.
2017.
« Graph-based 3D-ultrasound reconstruction of the liver in the presence of respiratory motion ».
In Reconstruction, Segmentation, and Analysis of Medical Images : First International Workshops, RAMBO 2016 and HVSMR 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 17, 2016, Revised Selected Papers (Athens, Greece, Oct. 17-21, 2016)
Coll. « Lecture Notes in Computer Science », vol. 10129.
pp. 48-57.
Springer Verlag.
Guichemerre, Alexis, Belharbi, Soufiane, Mayet, Tsiry, Murtaza, Shakeeb, Shamsolmoali, Pourya, McCaffrey, Luke et Granger, Eric.
2024.
« Source-free domain adaptation of weakly-supervised object localization models for histology ».
In IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (Seattle, WA, USA, June 17-18, 2024)
pp. 33-43.
IEEE Computer Society.
Gumus, Kazim Z., Nicolas, Julien, Gopireddy, Dheeraj R., Dolz, Jose, Jazayeri, Seyed Behzad et Bandyk, Mark.
2024.
« Deep learning algorithms for bladder cancer segmentation on multi-parametric MRI ».
Cancers, vol. 16, nº 13.
Gupta, Aarush, Agrawal, Dakshit, Chauhan, Hardik, Dolz, Jose et Pedersoli, Marco.
2018.
« An attention model for group-level emotion recognition ».
In 20th ACM International Conference on Multimodal Interaction (ICIM '18) (Boulder, CO, USA, Oct. 16-20, 2018)
pp. 611-615.
ACM.
Gupta, Aditya, Toews, Matthew, Janardhana, Ravikiran, Rathi, Yogesh, Gilmore, John, Escolar, Maria et Styner, Martin.
2013.
« Fiber feature map based landmark initialization for highly deformable DTI registration ».
In Proceedings of SPIE 8669, Medical Imaging 2013: Image Processing (Orlando, FL, USA, Mar. 13, 2013)
p. 866907.
Gupta, Shreyank, Haiat, Guillame, Laporte, Catherine et Belanger, Pierre.
2021.
« Effect of the acoustic impedance mismatch at the bone-soft tissue interface as a function of frequency in transcranial ultrasound: A simulation and in-vitro experimental study ».
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control, vol. 68, nº 5.
pp. 1653-1663. Gupta, Shreyank, Haïat, Guillaume, Laporte, Catherine et Belanger, Pierre. 2018. « Effect of acoustic impedance mismatch between skin and bone on transcranial ultrasound transmission ». Affiche présentée lors de la conférence : 176TH Meeting of the Acoustical Society of America, 2018 Acoustics Week in Canada).
Gupta, Vishwa Nath, Boulianne, Gilles et Cardinal, Patrick.
2012.
« CRIM’s content-based audio copy detection system for TRECVID 2009 ».
Multimedia Tools and Applications, vol. 60, nº 2.
pp. 371-387.
Gupta, Vishwa, Boulianne, Gilles et Cardinal, Patrick.
2010.
« CRIM's content-based audio copy detection system for TRECVID 2009 ».
In 2010 International Workshop on Content-Based Multimedia Indexing (CBMI) (Grenoble, France, June 23-25, 2010)
IEEE.
Gupta, Vishwa, Boulianne, Gilles et Cardinal, Patrick.
2010.
« Content-based audio copy detection using nearest-neighbor mapping ».
In 2010 IEEE International Conference on Acoustics Speech and Signal Processing (ICASSP) (Dallas, TX, USA, Mar. 14-19, 2010)
pp. 261-264.
IEEE.
Hafemann, Luiz G., Oliveira, Luiz S., Cavalin, Paulo R. et Sabourin, Robert.
2015.
« Transfer learning between texture classification tasks using Convolutional Neural Networks ».
In International Joint Conference on Neural Networks (IJCNN) (Killarney, Ireland, July 12-17, 2015)
Institute of Electrical and Electronics Engineers Inc..
Hafemann, Luiz G., Oliveira, Luiz S. et Sabourin, Robert.
2018.
« Fixed-sized representation learning from offline handwritten signatures of different sizes ».
International Journal on Document Analysis and Recognition, vol. 21, nº 3.
pp. 219-232.
Hafemann, Luiz G., Sabourin, Robert et Oliveira, Luiz S..
2016.
« Analyzing features learned for Offline Signature Verification using Deep CNNs ».
In 23rd International Conference on Pattern Recognition (ICPR) (Cancún, México, Dec. 04-08, 2016)
pp. 2989-2994.
IEEE.
Hafemann, Luiz G., Sabourin, Robert et Oliveira, Luiz S..
2019.
« Characterizing and evaluating adversarial examples for offline handwritten signature verification ».
IEEE Transactions on Information Forensics and Security, vol. 14, nº 8.
pp. 2153-2166.
Hafemann, Luiz G., Sabourin, Robert et Oliveira, Luiz S..
2017.
« Learning features for offline handwritten signature verification using deep convolutional neural networks ».
Pattern Recognition, vol. 70.
pp. 163-176.
Hafemann, Luiz G., Sabourin, Robert et Oliveira, Luiz S..
2020.
« Meta-learning for fast classifier adaptation to new users of signature verification systems ».
IEEE Transactions on Information Forensics and Security, vol. 15.
pp. 1735-1745.
Hafemann, Luiz G., Sabourin, Robert et Oliveira, Luiz S..
2017.
« Offline handwritten signature verification - literature review ».
In Seventh International Conference on Image Processing Theory, Tools and Applications (IPTA) (Montreal, QC, Canada, Nov. 28 - Dec. 01, 2017)
Piscataway, NJ, USA : IEEE.
Hafemann, Luiz G., Sabourin, Robert et Oliveira, Luiz S..
2016.
« Writer-independent feature learning for Offline Signature Verification using Deep Convolutional Neural Networks ».
In International Joint Conference on Neural Networks (IJCNN) (Vancouver, BC, Canada, July 24-29, 2016)
pp. 2576-2583.
IEEE.
Hafner, Frank M., Bhuiyan, Amran, Kooij, Julian F. P. et Granger, Eric.
2019.
« RGB-depth cross-modal person re-identification ».
In 16th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS) (Taipei, Taiwan, Sept. 18-21, 2019)
Piscataway, NJ, USA : IEEE.
Hafner, Frank M., Bhuyian, Amran, Kooij, Julian F. P. et Granger, Eric.
2022.
« Cross-modal distillation for RGB-depth person re-identification ».
Computer Vision and Image Understanding, vol. 216.
Haj-Hassan, Hawraa, Chaddad, Ahmad, Harkouss, Youssef, Desrosiers, Christian, Toews, Matthew et Tanougast, Camel.
2017.
« Classifications of multispectral colorectal cancer tissues using convolution neural network ».
Journal of Pathology Informatics, vol. 8, nº 1.
Hajimiri, Sina, Boudiaf, Malik, Ben Ayed, Ismail et Dolz, Jose.
2023.
« A strong baseline for generalized few-shot semantic segmentation ».
In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (Vancouver, BC, Canada, June 17-24, 2023)
pp. 11269-11278.
IEEE.
Hakim, Gustavo A. Vargas, Osowiechi, David, Noori, Mehrdad, Cheraghalikhani, Milad, Bahri, Ali, Ben Ayed, Ismail et Desrosiers, Christian.
2023.
« ClusT3: Information invariant test-time training ».
In IEEE/CVF International Conference on Computer Vision (ICCV) (Paris, France, Oct. 01-06, 2023)
pp. 6113-6122.
Institute of Electrical and Electronics Engineers Inc.. Hang-Vo, Anh-Thu Gloria, Ménard, Lucie et Laporte, Catherine. 2019. « Segmentation et suivi du contour des lèvres par contour actif ». Affiche présentée lors de la conférence : 87e Congrès de l'ACFAS (Gatineau, QC, Canada, 27-31 mai 2019).
Hanusiak, R. K., Oliveira, L. S., Justino, E. et Sabourin, R..
2012.
« Writer verification using texture-based features ».
International Journal on Document Analysis and Recognition, vol. 15, nº 3.
pp. 213-226.
Hanusiak, Regiane Kowalek, Justino, Edson José Rodrigues, Oliveira, Luiz Soares et Sabourin, Robert.
2010.
« Identificação da Autoria de Manuscritos com Base em Atributos Genéticos e Genéricos da Escrita ».
Revista de Informática Teórica e Aplicada , vol. 17, nº 2.
pp. 193-209.
Haouzia, Adil et Noumeir, Rita.
2008.
« Methods for image authentication: a survey ».
Multimedia Tools and Applications, vol. 39, nº 1.
pp. 1-46.
Hasan Azad, M., Farzam, R., Sadeghi, H., Zarif Yussefian, N. et Forouzanfar, M..
2021.
« Toward continuous estimation of cardiorespiratory parameters in oscillometry : A simulation study ».
In IEEE International Symposium on Medical Measurements and Applications (MeMeA) (Lausanne, Switzerland - En ligne, June 23-25, 2021)
Institute of Electrical and Electonics Engineers. Hasan Azad, Mohammad, Robillard, Rebecca, Higginson, Caitlin, Lina, Jean-Marc et Forouzanfar, Mohamad. 2024. « Unraveling sleep EEG-ECG interactions in major depression: Preliminary results of a coherence analysis ». Affiche présentée lors de la conférence : 38th Annual Meeting of the Associated Professional Sleep Societies (Houston, TX, USA, June 02-05, 2024).
Hashemizadeh, Abbas, Maaref, Ahmad, Shateri, Mohammadhadi, Larestani, Aydin et Hemmati-Sarapardeh, Abdolhossein.
2021.
« Experimental measurement and modeling of water-based drilling mud density using adaptive boosting decision tree, support vector machine, and K-nearest neighbors: A case study from the South Pars gas field ».
Journal of Petroleum Science and Engineering, vol. 207.
Havaeji, Hossein, Dao, Thien-My et Wong, Tony.
2022.
« Cost optimization of blockchain technology-enabled supply chain system using evolutionary computation approaches: A healthcare case study ».
World Wide Journal of Multidisciplinary Research and Development, vol. 8, nº 3.
pp. 27-42.
Havaeji, Hossein, Dao, Thien-My et Wong, Tony.
2023.
« Cost prediction in blockchain-enabled pharmaceutical supply chain under uncertain demand ».
Mathematics, vol. 11, nº 22.
Havaeji, Hossein, Dao, Thien-My et Wong, Tony.
2023.
« Supervised learning by evolutionary computation tuning: An application to blockchain-based pharmaceutical supply chain cost model ».
Mathematics, vol. 11, nº 9.
Henniges, Philippe, Granger, Éric, Sabourin, Robert et Oliveira, Luiz S..
2006.
« Impact of fuzzy ARTMAP match tracking strategies on the recognition of handwritten digits ».
In Smart systems engineering : infra-structure systems engineering, bio-informatics and computational biology and evolutionary computation : proceedings of the Artificial Neural Networks in Engineering Conference (ANNIE 2006) (Saint-Louis, MO, USA, Nov. 5-8, 2006)
Coll. « Intelligent Engineering Systems through Artificial Neural Networks », vol. 16.
pp. 465-472.
ASME.
Hirabara, Luciane Y., Aires, Simone B. K., Freitas, Cinthia O. A., Britto Jr, Alceu S. et Sabourin, Robert.
2011.
« Dynamic zoning selection for handwritten character recognition ».
In 16th Iberoamerican Congress on Pattern Recognition (CIARP) (Pucon, Chile, Nov. 15-18, 2011)
Coll. « Lecture Notes in Computer Science », vol. 7042.
pp. 507-514.
Berlin, Germany : Springer Verlag.
Hochuli, A. G., Oliveira, L. S., Britto Jr., A. S. et Sabourin, R..
2018.
« Handwritten digit segmentation: Is it still necessary? ».
Pattern Recognition, vol. 78.
pp. 1-11.
Hochuli, Andre G., Britto, Alceu S., Barddal, Jean P., Sabourin, Robert et Oliveira, Luiz E. S..
2020.
« An end-to-end approach for recognition of modern and historical handwritten numeral strings ».
In International Joint Conference on Neural Networks (IJCNN) (Glasgow, United Kingdom, July 19-24, 2020)
Piscataway, NJ, USA : IEEE.
Hochuli, Andre G., Britto, Alceu S., Saji, David A., Saavedra, Jose M., Sabourin, Robert et Oliveira, Luiz S..
2021.
« A comprehensive comparison of end-to-end approaches for handwritten digit string recognition ».
Expert Systems with Applications, vol. 165.
Hochuli, Andre G., Oliveira, Luiz S., De Souza Britto, Alceu et Sabourin, Robert.
2018.
« Segmentation-free approaches for handwritten numeral string recognition ».
In 2018 International Joint Conference on Neural Networks (IJCNN) (Rio de Janeiro, Brazil, July 08-13, 2018)
Piscataway, NJ, USA : IEEE.
Hojjat, Seyed-Parsa, Ayed, Ismail, Garvin, Gregory J. et Punithakumar, Kumaradevan.
2017.
« Spine labeling in MRI via regularized distribution matching ».
International Journal of Computer Assisted Radiology and Surgery, vol. 12, nº 11.
pp. 1911-1922.
Hou, Linlin, Yan, Zishen, Desrosiers, Christian et Liu, Hui.
2025.
« MFCPNet: Real time medical image segmentation network via multi-scale feature fusion and channel pruning ».
Biomedical Signal Processing and Control, vol. 100, nº Part B.
Hwang, Byong jun, Ren, Jinchang, McCormack, Samuel, Berry, Craig, Ben Ayed, Ismail, Graber, Hans C. et Aptoula, Erchan.
2017.
« A practical algorithm for the retrieval of floe size distribution of Arctic sea ice from high-resolution satellite Synthetic Aperture Radar imagery ».
Elementa : Science of Anthropocene, vol. 5.
Iturrate, Iñigo, Roberge, Etienne, Østergaard, Esben Hallundbæk, Duchaine, Vincent et Savarimuthu, Thiusius Rajeeth.
2019.
« Improving the generalizability of robot assembly tasks learned from demonstration via CNN-based segmentation ».
In IEEE 15th International Conference on Automation Science and Engineering (CASE) (Vancouver, BC, Canada, Aug. 22-26, 2019)
pp. 553-560.
Piscataway, NJ, USA : IEEE.
Izadi, Saadat et Forouzanfar, Mohamad.
2024.
« Error correction and adaptation in conversational AI: A review of techniques and applications in chatbots ».
AI, vol. 5, nº 2.
pp. 803-841.
Jabi, Mohammed, Pedersoli, Marco, Mitiche, Amar et Ben Ayed, Ismail.
2021.
« Deep clustering: On the link between discriminative models and K-means ».
IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 43, nº 6.
pp. 1887-1896.
Jacquin, Aurèle, Wong, Tony et Montecinos, Julio.
2023.
« Design of a gateway module for multi-protocol industrial connected objects and cloud services ».
In Second International Conference on Smart Technologies for Smart Nation (SmartTechCon) (Singapore, Singapore, Aug. 18-19, 2023)
pp. 896-901.
Institute of Electrical and Electronics Engineers Inc..
Jain, Arnav Kumar, Sujit, Shivakanth, Joshi, Shruti, Michalski, Vicent, Hafner, Danijar et Ebrahimi-Kahou, Samira.
2022.
« Learning robust dynamics through variational sparse gating ».
In Advances in Neural Information Processing Systems 35 (NeurIPS 2022) (New Orleans, LA, USA, Nov. 28-Dec. 09, 2022)
Neural information processing systems foundation.
Jalalian, Hesam et Cruz, Rafael M. O..
2024.
« MLRS-PDS: A Meta-learning recommendation of dynamic ensemble selection pipelines ».
In International Joint Conference on Neural Networks (IJCNN) (Yokohama, Japan, June 30-July 05, 2024)
Institute of Electrical and Electronics Engineers Inc..
Jayanthi, Sai Muralidhar, Ménard, Lucie et Laporte, Catherine.
2017.
« Divide-and-warp temporal alignment of speech signals between speakers: Validation using articulatory data ».
In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (New Orleans, LA, USA, Mar. 05-09, 2017)
pp. 5465-5469.
IEEE.
Jia, Jin-Gong, Zhou, Yuan-Feng, Hao, Xing-Wei, Li, Feng, Desrosiers, Christian et Zhang, Cai-Ming.
2020.
« Two-stream temporal convolutional networks for skeleton-based human action recognition ».
Journal of Computer Science and Technology, vol. 35, nº 3.
pp. 538-550.
Jodoin, Pierre-Marc, Duchateau, Nicolas et Desrosiers, Christian.
2023.
« From machine learning to deep learning ».
In
AI and big data in cardiology: A practical guide.
pp. 35-56. Springer.
Justino, E. J. R., Bortolozzi, Flavio et Sabourin, Robert.
2001.
« Off-line signature verification using HMM for random, simple and skilled forgeries ».
In Sixth International Conference on Document Analysis and Recognition (Seattle, WA, USA, Sept. 10-13, 2001)
pp. 1031-1034.
Los Aalmitos, CA, USA : Institute of Electrical and Electronics Engineers Computer Society.
Justino, E., Bortolozzi, F. et Sabourin, R..
1998.
« Os sistemas de reconhecimento de assinaturas sob a otica da grafologia ».
In ISDM'98-International Seminar on Document Management (Curitiba, Brasil, Nov. 10-11, 1998)
pp. 243-254.
Justino, E., Bortolozzi, F. et Sabourin, R..
1998.
« Uma arquitetura multinivel para um sistema de reconhecimento de assinaturas usando modelos escondidos de Markov ».
In ISDM'98-International Seminar on Document Management (Curitiba, Brasil, Nov. 10-11, 1998)
pp. 168-184.
Justino, E., El-Yacoubi, A., Bortolozzi, F. et Sabourin, R..
2000.
« An off-line signature verification system using the HMM and graphometric features ».
In Fourth IAPR International Workshop on Document Analysis Systems, (DAS 2000) (Rio de Janeiro, Brazil, Dec. 10-13, 2000)
pp. 211-222.
Justino, Edson J. R., Bortolozzi, Flavio et Sabourin, Robert.
2003.
« A autenticação de manuscritos aplicada à análise forense de documentos ».
In 1st workshop on Information Technology and Human Language (TIL2003) (Sao Carlos, Brazil, Oct. 12, 2003)
pp. 145-150.
Justino, Edson J. R., Bortolozzi, Flavio et Sabourin, Robert.
2005.
« A comparison of SVM and HMM classifiers in the Off-Line signature verification ».
Pattern Recognition Letters, vol. 26, nº 9.
pp. 1377-1385.
Justino, Edson J. R., Bortolozzi, Flavio et Sabourin, Robert.
2002.
« The interpersonal and intrapersonal variability influences on off-line signature verification using HMM ».
In 15th Brazilian Symposium on Computer Graphics and Image Processing (Fortaleza, Ceara, Brazil, Oct. 7-10, 2002)
pp. 197-202.
Los Alamitos, CA, USA : Institute of Electrical and Electronics Engineers Computer Society.
Justino, Edson J. R., El Yacoubi, Abdenaim, Bortolozzi, Flavio et Sabourin, Robert.
2000.
« An off-line signature verification system using hidden Markov model and cross-validation ».
In XIII Brazilian Symposium on Computer Graphics and Image Processing: proceedings: October 17-20, 2000, Gramado (RS), Brazil (Gramado, Brazil, Oct. 17-20, 2000)
pp. 105-112.
Los Alamitos, CA, USA : IEEE.
Justino, Edson J.R., Bortolozzi, Flavio et Sabourin, Robert.
2003.
« An off-line signature verification method based on SVM classifier and graphometric features ».
In Proceedings of the Fifth International Conference on Advances in Pattern Recognition ICAPR 2003 (Koldata, India, Dec. 10-13, 2003)
pp. 487-490.
Allied Publishers PVT. Limited.
Kamali, Kaveh, Akbari, Ali Akbar, Desrosiers, Christian, Akbarzadeh, Alireza, Otis, Martin J. D. et Ayena, Johannes C..
2020.
« Low-rank and sparse recovery of human gait data ».
Sensors, vol. 20, nº 16.
Kamali, Kaveh, Bonev, Ilian A. et Desrosiers, Christian.
2020.
« Real-time motion planning for robotic teleoperation using dynamic-goal deep reinforcement learning ».
In 17th Conference on Computer and Robot Vision (CRV) (Ottawa, ON, Canada, May 13, 2020 - May 15, 2020)
pp. 182-189.
Institute of Electrical and Electronics Engineers Inc..
Kapp, Marcello N., Freitas, Cinthia O. A., Nievola, Jûlio Cesar et Sabourin, Robert.
2003.
« Evaluating the conventional and class-modular architectures feedforward neural network for handwritten word recognition ».
In 16th Brazilian Symposium on Computer Graphics and Image Processing (SIBGRAPI) (Sao Carlos, Brazil, Oct. 12-15, 2003)
pp. 315-319.
Los Alamitos, CA, USA : Institute of Electrical and Electronics Engineers Computer Society.
Kapp, Marcello N., Freitas, Cinthia O. De A. et Sabourin, Robert.
2004.
« Handwritten brazilian month recognition : an analysis of two NN architectures and a rejection mechanism ».
In 9th International Workshop on Frontiers in Handwriting Recognition (IWFHR) (Tokyo, Japan, Oct. 26-29, 2004)
pp. 209-214.
Los Alamitos, CA, USA : Institute of Electrical and Electronics Engineers Computer Society.
Kapp, Marcelo N., Freitas, Cinthia O. de A. et Sabourin, Robert.
2007.
« Methodology for the design of NN-based month-word recognizers written on Brazilian bank checks ».
Image and Vision Computing, vol. 25, nº 1.
pp. 40-49.
Kapp, Marcelo N., Sabourin, Robert et Maupin, Patrick.
2009.
« A PSO-based framework for dynamic SVM model selection ».
In 11th Annual Genetic and Evolutionary Computation Conference (GECCO) (Montréal, Canada, July 8-12, 2009)
pp. 1227-1234.
New York, NY, USA : Association for Computing Machinery.
Kapp, Marcelo N., Sabourin, Robert et Maupin, Patrick.
2012.
« A dynamic model selection strategy for support vector machine classifiers ».
Applied Soft Computing, vol. 12, nº 8.
pp. 2550-2565.
Kapp, Marcelo N., Sabourin, Robert et Maupin, Patrick.
2011.
« A dynamic optimization approach for adaptive incremental learning ».
International journal of intelligent systems, vol. 26, nº 11.
pp. 1101-1124.
Kapp, Marcelo N., Sabourin, Robert et Maupin, Patrick.
2010.
« Adaptive incremental learning with an ensemble of support vector machines ».
In 20th International Conference on Pattern Recognition (ICPR) (Istanbul, Turkey, Aug. 23-26, 2010)
pp. 4048-4051.
Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers Inc..
Kapp, Marcelo N., Sabourin, Robert et Maupin, Patrick.
2007.
« An empirical study on diversity measures and margin theory for ensembles of classifiers ».
In 10th International Conference on Information Fusion (Quebec, Canada, Jul. 9-12, 2007)
Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers.
Kapur, Tina, Egger, Jan, Jayender, Jagadeesan, Toews, Matthew et Wells III, William M..
2014.
« Registration and segmentation for image-guided therapy ».
In
Intraoperative Imaging and Image-Guided Therapy.
pp. 79-91. Springer New York. Karimi, E., Ménard, L. et Laporte, C.. 2017. « Fully-automated tongue detection in ultrasound images ». Communication lors de la conférence : 3rd IEEE Research Boost "Give your research an industrial edge" (Montreal, QC, Canada, Nov. 02, 2017).
Karimi, Elham, Ménard, Lucie et Laporte, Catherine.
2019.
« Fully-automated tongue detection in ultrasound images ».
Computers in Biology and Medicine, vol. 111.
Karimi, Elham, Ménard, Lucie et Laporte, Catherine. 2018. « Fully-automated tongue detection in ultrasound images ». Affiche présentée lors de la conférence : 176th Meeting of the Acoustical Society of America and 2018 Acoustics Week in Canada (Victoria, BC, Canada, Nov. 05-09, 2018).
Karthik, Enamundram Naga, Cheriet, Farida et Laporte, Catherine.
2023.
« Uncertainty estimation in unsupervised MR-CT synthesis of scoliotic spines ».
IEEE Open Journal of Engineering in Medicine and Biology, vol. 5.
pp. 421-427.
Kervadec, H., Dolz, J., Yuan, J., Desrosiers, C., Granger, E. et Ben Ayed, I..
2022.
« Constrained deep networks: Lagrangian optimization via Log-barrier extensions ».
In 30th European Signal Processing Conference (EUSIPCO) (Belgrade, Serbia, Aug. 29-Sept. 02, 2022)
pp. 962-966.
European Signal Processing Conference, EUSIPCO.
Kervadec, Hoel, Bahig, Houda, Letourneau-Guillon, Laurent, Dolz, Jose et Ben Ayed, Ismail.
2021.
« Beyond pixel-wise supervision: semantic segmentation with higher-order shape descriptors ».
In Proceedings of the Fourth Conference on Medical Imaging with Deep Learning (Lübeck, Germany, En ligne, July 07-09, 2021)
Coll. « Proceedings of Machine Learning Research », vol. 143.
pp. 354-368.
PMLR.
Kervadec, Hoel, Bouchtiba, Jihene, Desrosiers, Christian, Granger, Eric, Dolz, Jose et Ben Ayed, Ismail.
2019.
« Boundary loss for highly unbalanced segmentation ».
In 2nd International Conference on Medical Imaging with Deep Learning (MIDL) (London, England, July 08-10, 2019)
Coll. « Proceedings of Machine Learning Research », vol. 102.
pp. 285-296.
PMLR.
Kervadec, Hoel, Bouchtiba, Jihene, Desrosiers, Christian, Granger, Eric, Dolz, José et Ben Ayed, Ismail.
2021.
« Boundary loss for highly unbalanced segmentation ».
Medical Image Analysis, vol. 67.
Kervadec, Hoel, Dolz, Jose, Granger, Éric et Ben Ayed, Ismail.
2019.
« Curriculum semi-supervised segmentation ».
In Medical Image Computing and Computer Assisted Intervention – MICCAI 2019 : 22nd International Conference, Proceedings, Part II (Shenzhen, China, Oct 13-17, 2019)
Coll. « Lecture Notes in Computer Science », vol. 11765.
pp. 568-576.
Springer.
Kervadec, Hoel, Dolz, Jose, Tang, Meng, Granger, Éric, Boykov, Yuri et Ben Ayed, Ismail.
2019.
« Constrained-CNN losses for weakly supervised segmentation ».
Medical Image Analysis, vol. 54.
pp. 88-99.
Kervadec, Hoel, Dolz, Jose, Tang, Meng, Granger, Éric, Boykov, Yuri et Ben Ayed, Ismail.
2018.
« Constrained-CNN losses for weakly supervised segmentation ».
In 1st Conference on Medical Imaging with Deep Learning (MIDL 2018) (Amsterdam, Netherlands, July 4-6, 2018)
Kervadec, Hoel, Dolz, Jose, Wang, Shanshan, Granger, Eric et Ben Ayed, Ismail.
2020.
« Bounding boxes for weakly supervised segmentation: Global constraints get close to full supervision ».
In Medical Imaging with Deep Learning, 6-8 July 2020, Montreal, QC, Canada (Montreal, QC, Canada, July 06-08, 2020)
Coll. « Proceedings of Machine Learning Research », vol. 121.
pp. 365-381.
PLMR.
Khajehpiri, B., Moghaddam, H. A., Forouzanfar, M., Lashgari, R., Ramos-Cejudo, J., Osorio, R. S. et Ardekani, B. A..
2022.
« Survival analysis in cognitively normal subjects and in patients with mild cognitive impairment using a proportional hazards model with extreme gradient boosting regression ».
Journal of Alzheimer's Disease, vol. 85, nº 2.
pp. 833-846.
Khajehpiri, Boshra, Granger, Eric, De Zambotti, Massimiliano, Baker, Fiona C., Yuksel, Dilara et Forouzanfar, Mohamad.
2024.
« SleepBP-Net: A time-distributed convolutional network for nocturnal blood pressure estimation from photoplethysmogram ».
IEEE Sensors Journal, vol. 24, nº 12.
pp. 19590-19600.
Khreich, Wael, Granger, Éric, Miri, Ali et Sabourin, Robert.
2009.
« A comparison of techniques for on-line incremental learning of HMM parameters in anomaly detection ».
In IEEE Symposium on Computational Intelligence for Security and Defense Applications (CISDA) (Ottawa, Ont., Canada, July 8-10, 2009)
Washington, D.C. : Institute of Electrical and Electronics Engineers Computer Society.
Khreich, Wael, Granger, Éric, Miri, Ali et Sabourin, Robert.
2012.
« A survey of techniques for incremental learning of HMM parameters ».
Information Sciences, vol. 197.
pp. 105-130.
Khreich, Wael, Granger, Éric, Miri, Ali et Sabourin, Robert.
2012.
« Adaptive ROC-based ensembles of HMMs applied to anomaly detection ».
Pattern Recognition, vol. 45, nº 1.
pp. 208-230.
Khreich, Wael, Granger, Éric, Miri, Ali et Sabourin, Robert.
2010.
« Boolean combination of classifiers in the ROC space ».
In 20th International Conference on Pattern Recognition (ICPR) (Istanbul, Turkey, Aug. 23-26, 2010)
pp. 4299-4303.
Los Alamitos, CA, USA : Institute of Electrical and Electronics Engineers Computer Society.
Khreich, Wael, Granger, Éric, Miri, Ali et Sabourin, Robert.
2011.
« Incremental boolean combination of classifiers ».
In 10th International Workshop on Multiple Classifier Systems (MCS) (Naples, Italy, June 15-17, 2011)
Coll. « Lecture Notes in Computer Science », vol. 6713.
pp. 340-349.
Germany : Springer Verlag.
Khreich, Wael, Granger, Éric, Miri, Ali et Sabourin, Robert.
2010.
« Iterative Boolean combination of classifiers in the ROC space : an application to anomaly detection with HMMs ».
Pattern Recognition, vol. 43, nº 8.
pp. 2732-2752.
Khreich, Wael, Granger, Éric, Miri, Ali et Sabourin, Robert.
2010.
« On the memory complexity of the forward-backward algorithm ».
Pattern Recognition Letters, vol. 31, nº 2.
pp. 91-99.
Khreich, Wael, Granger, Éric, Sabourin, Robert et Miri, Ali.
2009.
« Combining hidden Markov models for improved anomaly detection ».
In IEEE International Conference on Communications (ICC) (Dresden, Germany, June 14-18, 2009)
Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers.
Kim, Bach Ngoc, Dolz, Jose, Desrosiers, Christian et Jodoin, Pierre-Marc.
2021.
« Privacy preserving for medical image analysis via non-linear deformation proxy ».
In 32nd British Machine Vision Conference, BMVC (Online, Nov. 22-25, 2021)
British Machine Vision Association, BMVA.
Kim, Bach Ngoc, Dolz, Jose, Jodoin, Pierre-Marc et Desrosiers, Christian.
2023.
« Mixup-privacy: A simple yet effective approach for privacy-preserving segmentation ».
In Information Processing in Medical Imaging : 28th International Conference, IPMI : Proceedings (San Carlos de Bariloche, Argentina, June 18-23, 2023)
Coll. « Lecture Notes in Computer Science », vol. 13939.
pp. 717-729.
Springer.
Kim, Bach Ngoc, Dolz, Jose, Jodoin, Pierre-Marc et Desrosiers, Christian.
2021.
« Privacy-net: An adversarial approach for identity-obfuscated segmentation of medical images ».
IEEE Transactions on Medical Imaging, vol. 40, nº 7.
pp. 1737-1749.
Kiran, Madhu, Bhuiyan, Amran, Nguyen-Meidine, Le Thanh, Blais-Morin, Louis-Antoine, Ben Ayed, Ismail et Granger, Eric.
2021.
« Flow guided mutual attention for person re-identification ».
Image and Vision Computing, vol. 113.
Kiran, Madhu, Nguyen-Meidine, Le Thanh, Sahay, Rajat, Cruz, Rafael Menelau Oliveira E., Blais-Morin, Louis-Antoine et Granger, Eric.
2022.
« Dynamic template selection through change detection for adaptive siamese tracking ».
In International Joint Conference on Neural Networks (IJCNN) (Padua, Italy, July 18-23, 2022)
IEEE.
Kiran, Madhu, Nguyen-Meidine, Le Thanh, Sahay, Rajat, Cruz, Rafael Menelau Oliveira E., Blais-Morin, Louis-Antoine et Granger, Eric.
2022.
« Generative target update for adaptive siamese tracking ».
In Pattern Recognition and Artificial Intelligence : Third International Conference, ICPRAI 2022 : Proceedings, Par I (Paris, France, June 01-03, 2022)
Coll. « Lecture Notes in Computer Science », vol. 13363.
pp. 502-513.
Springer Science and Business Media Deutschland GmbH.
Kiran, Madhu, Praveen, Gnana R., Nguyen-Meidine, Le Thanh, Belharbi, Soufiane, Blais Morin, Louis-Antoine et Granger, Eric.
2021.
« Holistic guidance for occluded person re-identification ».
In The 32nd British Machine Vision Conference (En ligne, Nov. 22-25, 2021)
BMVC.
Kiran, Madhu, Tiwari, Vivek, Nguyen-Meidine, Le Thanh, Blais Morin, Louis-Antoine et Granger, Eric.
2019.
« On the interaction between deep detectors and siamese trackers in video surveillance ».
In 16th IEEE International Conference on Advanced Video and Signal Based Surveillance (AVSS) (Taipei, Taiwan, Sept. 18-21, 2019)
Piscataway, NJ, USA : IEEE.
Ko, Albert H. R., Sabourin, Robert et Britto Jr., Alceu.
2006.
« Combining diversity and classification accuracy for ensemble selection in random subspaces ».
In International Joint Conference on Neural Networks (IJCNN) (Vancouver, Canada, Jul. 16-21, 2006)
pp. 2144-2151.
Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers.
Ko, Albert H. R., Sabourin, Robert et Gagnon, François.
2013.
« Performance of distributed multi-agent multi-state reinforcement spectrum management using different exploration schemes ».
Expert Systems with Applications, vol. 40, nº 10.
pp. 4115-4126.
Ko, Albert Hung Ren, Sabourin, Robert et Britto, Alceu de Souza.
2006.
« A new objective function for ensemble selection in random subspaces ».
In 18th International Conference on Pattern Recognition (ICPR) (Hong Kong, China, Aug. 20-24, 2006)
pp. 185-188.
Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers.
Ko, Albert Hung Ren, Sabourin, Robert et de Souza Britto, Alceu.
2007.
« Applying pairwise fusion matrix on fusion functions for classifier combination ».
In Multiple Classifier Systems 7th International Workshop, MCS 2007, Prague, Czech Republic, May 23-25, 2007. Proceedings (Prague, Czech Republic, May 23-25, 2007)
Coll. « Lecture Notes in Computer Science », vol. 4472.
pp. 302-311.
Heidelberg, Gremany : Springer.
Ko, Albert Hung-Ren , Sabourin, Robert, Britto Jr, A. et Oliveira, L..
2007.
« Pairwise fusion matrix for combining classifiers ».
Pattern Recognition, vol. 40, nº 8.
pp. 2198-2210.
Ko, Albert Hung-Ren, Cavalin, Paulo Rodrigo, Sabourin, Robert et Britto, Alceu de Souza.
2009.
« Leave-one-out-training and leave-one-out-testing hidden markov models for a handwritten numeral recognizer : the implications of a single classifier and multiple classifications ».
IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 31, nº 12.
pp. 2168-2178.
Ko, Albert Hung-Ren, Jousselme, Anne-Laure, Sabourin, Robert et Gagnon, François.
2015.
« A dominance-based stepwise approach for sensor placement optimization ».
Applied Soft Computing, vol. 28.
pp. 466-482.
Ko, Albert Hung-Ren et Sabourin, Robert.
2013.
« Single Classifier-based Multiple Classification Scheme for weak classifiers: An experimental comparison ».
Expert Systems with Applications, vol. 40, nº 9.
pp. 3606-3622.
Ko, Albert Hung-Ren et Sabourin, Robert.
2013.
« Single classifier based multiple classifications ».
In Multiple Classifier Systems : 11th International Workshop, MCS 2013, Nanjing, China, May 15-17, 2013. Proceedings (Nanjing, China, May 15-17, 2013)
Coll. « Lecture Notes in Computer Science », vol. 7872.
pp. 134-145.
Springer-Verlag.
Ko, Albert Hung-Ren, Sabourin, Robert, Britto Jr., Alceu S. et Oliveira, Luiz E. S..
2014.
« A classifier-free ensemble selection method based on data diversity in random subspaces ».
arXiv. 24 p.
Ko, Albert Hung-Ren, Sabourin, Robert et Britto, Alceu De Souza.
2009.
« Compound diversity functions for ensemble selection ».
International Journal of Pattern Recognition and Artificial Intelligence, vol. 23, nº 4.
pp. 659-686.
Ko, Albert Hung-Ren, Sabourin, Robert et Britto, Alceu de Souza.
2009.
« Ensemble of HMM classifiers based on the clustering validity index for a handwritten numeral recognizer ».
Pattern Analysis and Applications, vol. 12, nº 1.
pp. 21-35.
Ko, Albert Hung-Ren, Sabourin, Robert, De Soares Oliveira, Luiz E. et De Britto Jr, Alceu Souza.
2008.
« The implication of data diversity for a classifier-free ensemble selection in random subspaces ».
In 19th International Conference on Pattern Recognition (ICPR) (Tampa, FL, USA, Dec. 8-11, 2008)
Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers Computer Society.
Ko, Albert Hung-Ren, Sabourin, Robert et De Souza Britto Jr, Alceu.
2006.
« Evolving ensemble of classifiers in random subspace ».
In 8th annual conference on Genetic and Evolutionary Computation Conference (GECCO) (Seattle, WA, USA, July 8-12, 2006)
pp. 1473-1480.
New York, NY, USA : ACM Press.
Ko, Albert Hung-Ren, Sabourin, Robert et De Souza Britto Jr, Alceu S..
2008.
« A new HMM training and testing scheme ».
In 19th International Conference on Pattern Recognition (ICPR) (Tampa, FL, USA, Dec. 8-11, 2008)
Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers Computer Society.
Ko, Albert Hung-Ren, Sabourin, Robert et de Souza Britto, Alceu.
2007.
« A new HMM-based ensemble generation method for numeral recognition ».
In Multiple Classifier Systems 7th International Workshop, MCS 2007, Prague, Czech Republic, May 23-25, 2007. Proceedings (Prague, Czech Republic, May 23-25, 2007)
Coll. « Lecture Notes in Computer Science », vol. 4472.
pp. 52-61.
Heidelberg, Gremany : Springer.
Ko, Albert Hung-Ren, Sabourin, Robert et de Souza Britto, Alceu.
2007.
« A new dynamic ensemble selection method for numeral recognition ».
In Multiple Classifier Systems 7th International Workshop, MCS 2007, Prague, Czech Republic, May 23-25, 2007. Proceedings (Prague, Czech Republic, May 23-25, 2007)
Coll. « Lecture Notes in Computer Science », vol. 4472.
pp. 431-439.
Heidelberg, Germany : Springer.
Ko, Albert Hung-Ren, Sabourin, Robert et de Souza Britto, Alceu.
2007.
« K-nearest oracle for dynamic ensemble selection ».
In 9th International Conference on Document Analysis and Recognition (ICDAR) (Curitiba, Brazil, Sept. 23-26, 2007)
pp. 422-426.
Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers.
Koerich, A. L., Leydier, Yann, Sabourin, Robert et Suen, Ching Y..
2002.
« Système hybride de reconnaissance de mots manuscrits sur un grand vocabulaire utilisant des réseaux neuronaux et des modèles de Markov cachés ».
In CIFED '2002 : colloque international francophone sur l'écrit et le document : Hammamet, 21-23 octobre 2002 (Hammamet, Tunisie, 21-23 oct. 2002)
pp. 325-334.
Le Chesnay, Suisse : INRIA.
Koerich, A. L., Sabourin, R., Suen, C. Y. et El-Yacoubi, A..
2000.
« A syntax directed level building algorithm for large vocabulary handwritten word recognition ».
In Fourth IAPR International Workshop on Document Analysis Systems, (DAS 2000) (Rio de Janeiro, Brazil, 10-13 December 2000)
pp. 255-266.
Koerich, Alessandro L., Britto Jr, Alceu S., Oliveira, Luiz E. S. et Sabourin, Robert.
2006.
« Fusing high- and low level features for handwritten word recognition ».
In 10th International Workshop on Frontiers in Handwriting Recognition (IWFHR) (La Baule, France, Oct. 23-26, 2006)
pp. 151-156.
Koerich, Alessandro L., Leydier, Yann, Sabourin, Robert et Suen, Ching Y..
2002.
« A hybrid large vocabulary handwritten word recognition system using neural networks with hidden Markov models ».
In 8th International Workshop on Frontiers in Handwriting Recognition (IWFHR) (Ontario, Canada, Aug. 6-8, 2002)
pp. 99-104.
Los Alamitos, CA, USA : Institute of Electrical and Electronics Engineers Computer Society.
Koerich, Alessandro L., Sabourin, Robert et Suen, C. Y..
2003.
« Large vocabulary off-line handwriting recognition : a survey ».
Pattern Analysis and Applications, vol. 6, nº 2.
pp. 97-121.
Koerich, Alessandro L., Sabourin, Robert et Suen, Ching Y..
2001.
« A distributed scheme for lexicon-driven handwritten word recognition and its application to large vocabulary problems ».
In 6th International Conference on Document Analysis and Recognition (Seattle, WA, USA, Sept. 10-13, 2001)
pp. 660-664.
Los Alamitos, CA, USA : Institute of Electrical and Electronics Engineers Computer Society.
Koerich, Alessandro L., Sabourin, Robert et Suen, Ching Y..
2001.
« A time-length constrained level building algorithm for large vocabulary handwritten word recognition ».
In Second International Conference on Advances in Pattern Recognition (Rio de Janeiro, Brazil, March 11-14, 2001)
pp. 127-136.
Berlin, Germany : Springer-Verlag.
Koerich, Alessandro L., Sabourin, Robert et Suen, Ching Y..
2004.
« Fast two-level HMM decoding algorithm for large vocabulary handwriting recognition ».
In Ninth International Workshop on Frontiers in Handwriting Recognition (IWFHR-9) (Tokyo, Japan, Oct. 26-29, 2004)
pp. 232-237.
Los Alamitos, CA, USA : Institute of electrical and Electronics Engineers Computer Society.
Koerich, Alessandro L., Sabourin, Robert et Suen, Ching Y..
2002.
« Fast two-level Viterbi search algorithm for unconstrained handwriting recognition ».
In IEEE International Conference on Acoustics, Speech and Signal Processing (Orlando, FL, USA, May 13-17, 2002)
IV/3537-IV/3540.
Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers.
Koerich, Alessandro L., Sabourin, Robert et Suen, Ching Y..
2003.
« Lexicon-driven HMM decoding for large vocabulary handwriting recognition with multiple character models ».
International Journal on Document Analysis and Recognition, vol. 6, nº 2.
pp. 126-144.
Koerich, Alessandro L., Sabourin, Robert et Suen, Ching Y..
2005.
« Recognition and verification of unconstrained handwritten words ».
IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 27, nº 10.
pp. 1509-1522.
Kossi, Koffi, Coulombe, Stéphane et Desrosiers, Christian.
2024.
« No-reference video quality assessment using transformers and attention recurrent networks ».
IEEE Access, vol. 12.
pp. 140671-140680.
Kossi, Koffi, Coulombe, Stéphane, Desrosiers, Christian et Gagnon, Ghyslain.
2022.
« No-reference video quality assessment using distortion learning and temporal attention ».
IEEE Access, vol. 10.
pp. 41010-41022.
Kumar, Kuldeep, Chauvin, Laurent, Toews, Matthew, Colliot, Olivier et Desrosiers, Christian.
2018.
« Multi-modal analysis of genetically-related subjects using SIFT descriptors in brain MRI ».
In Computational Diffusion MRI : MICCAI Workshop, Québec, Canada, September 2017 (Québec, QC, Canada, 10 sept. 2017)
Coll. « Mathematics and Visualization »
pp. 219-228.
Springer International Publishing.
Kumar, Kuldeep, Desrosiers, Christian, Siddiqi, Kaleem, Colliot, Olivier et Toews, Matthew.
2017.
« Fiberprint: A subject fingerprint based on sparse code pooling for white matter fiber analysis ».
NeuroImage, vol. 158.
pp. 242-259.
Kumar, Kuldeep, Desrosiers, Christian, Siddiqi, Kaleem, Colliot, Olivier et Toews, Matthew.
14 novembre 2017.
« Fiberprint: Human Brain Wiring Shows Unique Fingerprint ».
[Article de recherche]. Substance ÉTS.
Kumar, Kuldeep, Desrosiers, Christian, Siddiqi, Kaleem, Colliot, Olivier et Toews, Matthew.
14 novembre 2017.
« L’empreinte cérébrale : une image des connexions du cerveau ».
[Article de recherche]. Substance ÉTS.
Kumar, Kuldeep, Gori, Pietro, Charlier, Benjamin, Durrleman, Stanley, Colliot, Olivier et Desrosiers, Christian.
2017.
« White matter fiber segmentation using functional varifolds ».
In Graphs in Biomedical Image Analysis, Computational Anatomy and Imaging Genetics : First International Workshop, GRAIL 2017, 6th International Workshop, MFCA 2017, and Third International Workshop, MICGen 2017, Held in Conjunction with MICCAI 2017, Québec (Québec, QC, Canada, Sept. 10-14, 2017)
Coll. « Lecture Notes in Computer Science », vol. 10551.
pp. 92-100.
Springer.
Kumar, Kuldeep, Siddiqi, Kaleem et Desrosiers, Christian.
2019.
« White matter fiber analysis using kernel dictionary learning and sparsity priors ».
Pattern Recognition, vol. 95.
pp. 83-95.
Kumar, Kuldeep, Toews, Matthew, Chauvin, Laurent, Colliot, Olivier et Desrosiers, Christian.
2018.
« Multi-modal brain fingerprinting: A manifold approximation based framework ».
NeuroImage, vol. 183.
pp. 212-226.
Kwiatkowski, Jennifer, Cockburn, Deen et Duchaine, Vincent.
2017.
« Grasp stability assessment through the fusion of proprioception and tactile signals using convolutional neural networks ».
In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (Vancouver, BC, Canada, Sept. 24-28, 2017)
pp. 286-292.
Piscataway, NJ, USA : IEEE.
Kwiatkowski, Jennifer, Jolaei, Mohammad, Bernier, Alexandre et Duchaine, Vincent.
2022.
« The good grasp, the bad grasp, and the plateau in tactile-based grasp stability prediction ».
In IEEE International Conference on Intelligent Robots and Systems (Kyoto, Japan, Oct. 23-27, 2022)
pp. 4653-4659.
Institute of Electrical and Electronics Engineers Inc..
Kwiatkowski, Jennifer, Lavertu, Jean-Simon, Gourrat, Chloé et Duchaine, Vincent.
2019.
« Determining object properties from tactile events during grasp failure ».
In IEEE 15th International Conference on Automation Science and Engineering (CASE) (Vancouver, BC, Canada, Aug. 22-26, 2019)
pp. 1692-1698.
Piscataway, NJ, USA : IEEE.
Kwiatkowski, Jennifer, Roberge, Jean-Philippe, Nadeau, Nicholas A., L'Écuyer-Lapierre, Louis et Duchaine, Vincent.
2018.
« An extrinsic dexterity approach to the IROS 2018 fan robotic challenge ».
In 2018 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (Madrid, Spain, Oct. 1-5, 2018)
pp. 4139-4144.
Piscataway, NJ, USA : IEEE.
Lachance, François, Landry, Jacques-André et Laberge, Benoît.
2005.
« Modélisation des échanges thermiques et d'humidité dans un bâtiment d'élevage avicole commercial ».
In Journée Scientifique et Technique en Génie Agroalimentaire (Saint-Hyacinthe, QC, Canada, 23 mars 2005)
pp. 133-137.
Lala, Prasun, Langevin Harnois, Félix, El Boussaidi, Ghizlane, Desrosiers, Christian et Laporte, Catherine.
2018.
« Providing sustainable scientific writing support for graduate engineering students by creating a local scientific learning community ».
In 2018 ASEE Annual Conference & Exposition (Salt Lake City, UT, USA, June 24-27, 2018)
American Society for Engineering Education. Lala, Prasun, Langevin Harnois, Félix, El Boussaidi, Ghizlane, Desrosiers, Christian et Laporte, Catherine. 2018. « Providing sustainable scientific writing support for graduate engineering students by creating a local scientific learning community ». Communication lors de la conférence : 2018 ASEE Annual Conference & Exposition (Salt Lake City, UT, USA, June 24-27, 2018).
Lalonde, J.-L., de Guise, Jacques et Sabourin, Robert.
1992.
« Mise au point d'un utilitaire graphique interactif pour la définition et la validation des relations spatiales entre primitives géométriques ».
In Automatisation industrielle : conférence Canadienne et exposition : École de Technologie Supérieure Montréal, 1-3 juin 1992 : actes de la conférence = Industrial automation : Canadian conference and exhibition : Ecole de Technologie Supérieure Montre (Montréal, QC, Canada, 1-3 juin 1992)
20.13-20.16.
Montréal, QC, Canada : International Association for Industrial Automation.
Lam, L., Suen, C. Y., Guillevic, D., Strathy, N. W., Cheriet, M., Liu, K. et Said, J. N..
1995.
« Automatic processing of information on cheques ».
In IEEE International Conference on Systems, Man and Cybernetics, 1995. Intelligent Systems for the 21st Century (Vancouver, BC, Canada, Oct. 22-25, 1995)
pp. 2353-2358.
IEEE.
Landry, Jacques A., Da Costa, Luis et Bernier, Thomas.
2004.
« Discriminant feature selection by genetic programming : towards a domain independent multi-class object detection system ».
In 8th World Multi-Conference on Systemics, Cybernetics and Informatics (Orlando, FL, USA, Jul. 18-21, 2004)
pp. 266-271.
Orlando, FL, USA : International Institute of Informatics and Systemics.
Landry, Jacques -André, Da Costa, Luis et Bernier, Thomas.
2006.
« Discriminant feature selection by genetic programming: towards a domain independent multi-class object detection system ».
Journal of Systemics, Cybernetics and Informatics, vol. 3, nº 1.
pp. 76-81.
Landry, Jacques-André.
2008.
« Modélisation de la dynamique spatiotemporelle des mammifères marins dans l'estuaire ».
Portrait de Baleines, Le Bulletin de l'Estuaire: Observation, Recherche et Conservation, vol. 7, nº 14.
Landry, Jacques-André.
2008.
« Modélisation spatiale et temporelle du trafic maritime dans l'estuaire ».
Le bulletin de l'Estuaire: Observation, Recherche et Conservation, vol. 7, nº 15.
Landry, Jacques-André, Chion, C., Albuquerque Martins, C., Lamontagne, P., Turgeon, S., Parrott, L., Marceau, D., Michaud, R., Ménard, N., Lesage, V. et Giard, J.. 2008. « Modélisation des déplacements des bateaux d'excursions aux baleines et des mammifères marins dans le parc marin du Saguenay-Saint-Laurent ». Communication lors de la conférence : Colloque Scientifique du Parc Marin du Saguenay-Saint-Laurent (Rivière-du-Loup, QC, Canada, 2-3 oct. 2008).
Langenfeld, Florent, Axenopoulos, Apostolos, Chatzitofis, Anargyros, Craciun, Daniela, Daras, Petros, Du, Bowen, Giachetti, Andrea, Lai, Yu-Kun, Li, Haisheng, Li, Yingbin, Masoumi, Majid, Peng, Yuxu, Rosin, Paul L., Sirugue, Jeremy, Sun, Li, Thermos, Spyridon, Toews, Matthew, Wei, Yang, Wu, Yujuan, Zhai, Yujia, Zhao, Tianyu, Zheng, Yanping et Montes, Matthieu.
2018.
« SHREC 2018 - Protein shape retrieval ».
In 11th Eurographics Workshop on 3D Object Retrieval (3DOR) (Delft, Netherlands, Apr. 16, 2018)
pp. 53-61.
Eurographics Association. Langevin Harnois, Félix, Harrison, Jerome, Lala, Prasun, El Boussaidi, Ghizlane, Desrosiers, Christian et Laporte, Catherine. 2018. « Promoting good scientific communication habits by leveraging the community of practice within a single research group ». Communication lors de la conférence : 2018 ASEE Annual Conference & Exposition (Salt Lake City, UT, USA, June 24-27, 2018).
Langevin Harnois, Félix, Harrison, Jerome, Lala, Prasun, El Boussaidi, Ghizlane, Desrosiers, Christian et Laporte, Catherine.
2018.
« Promoting good scientific communication habits by leveraging the community of practice within a single research group ».
In 2018 ASEE Annual Conference & Exposition (Salt Lake City, UT, USA, June 24-27, 2018)
American Society for Engineering Education.
Lanovaz, Marc J., Cardinal, Patrick et Francis, Mary.
2019.
« Using a visual structured criterion for the analysis of alternating-treatment designs ».
Behavior Modification, vol. 43, nº 1.
pp. 115-131.
Lanovaz, Marc J., Turgeon, Stéphanie, Cardinal, Patrick et Wheatley, Tara L..
2019.
« Using single-case designs in practical settings: Is within-subject replication always necessary? ».
Perspectives on Behavior Science, vol. 42, nº 1.
pp. 153-162. Laporte, C., Takla, R., Tiede, M. et Ménard, L.. 2022. « Imaging the palate: best methods and practices ». Communication lors de la conférence : Ultrafest X (Manchester, UK, Nov. 03-05, 2022). Laporte, Catherine. 2020. « Developing and customizing ultrasound image processing tools with MATLAB ». Communication lors de la conférence : UltraFest IX : Ultrasound Imaging for Speech and Language (En ligne, Oct. 21-24, 2020). Laporte, Catherine et Lulich, Steven M.. 2017. « Towards automated segmentation of the moving tongue surface in 3D ultrasound ». Affiche numéro 05 présentée lors de la conférence : Ultrafest VIII (Postdam, Germany, Oct. 04-06, 2017).
Laporte, Catherine et Ménard, Lucie.
2018.
« Multi-hypothesis tracking of the tongue surface in ultrasound video recordings of normal and impaired speech ».
Medical Image Analysis, vol. 44.
pp. 98-114.
Larrazabal, Agostina J., Martínez, César, Dolz, José et Ferrante, Enzo.
2023.
« Maximum entropy on erroneous predictions: Improving model calibration for medical image segmentation ».
In Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 : 26th International Conference, Proceedings (Vancouver, BC, Canada, Oct. 08-12, 2023)
Coll. « Lecture Notes in Computer Science », vol. 14222.
pp. 273-283.
Springer Science and Business Media Deutschland GmbH.
Larrazabal, Agostina J., Martínez, César, Dolz, Jose et Ferrante, Enzo.
2021.
« Orthogonal ensemble networks for biomedical image segmentation ».
In Medical Image Computing and Computer Assisted Intervention – MICCAI 2021: 24th International Conference, Strasbourg, France, September 27–October 1, 2021, Proceedings, Part III (Strasbourg, France, Sept. 27-Oct. 01, 2021)
Coll. « Lecture Notes in Computer Science », vol. 12903.
pp. 594-603.
Springer Science and Business Media.
Latombe, Guillaume, Granger, Éric et Dilkes, Fred A..
2006.
« Fast incremental techniques for learning production rule probabilities in radar electronic support ».
In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (Toulouse, France, May 14-19, 2006)
pp. 773-776.
Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers.
Latombe, Guillaume, Granger, Éric et Dilkes, Fred A..
2010.
« Fast learning of grammar production probabilities in radar electronic support ».
IEEE Transactions on Aerospace and Electronic Systems, vol. 46, nº 3.
pp. 1262-1289.
Latombe, Guillaume, Granger, Éric et Dilkes, Fred A..
2012.
« Graphical EM for on-line learning of grammatical probabilities in radar electronic support ».
Applied Soft Computing, vol. 12, nº 8.
pp. 2362-2378.
Latombe, Guillaume, Granger, Éric et Dilkes, Fred A..
2007.
« Incremental learning of stochastic grammars with graphical EM in radar electronic support ».
In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (Honolulu, HI, USA, April 15-20, 2007)
pp. 301-304.
Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers.
Latortue, David, Kdayem, Moetez, Guerrero Pena, Fidel A., Granger, Eric et Pedersoli, Marco.
2024.
« Evaluating supervision levels trade-offs for infrared-based people counting ».
In IEEE/CVF Winter Conference on Applications of Computer Vision Workshops (WACVW) (Waikoloa, HI, USA, Jan. 01-06, 2024)
pp. 290-299.
Institute of Electrical and Electronics Engineers Inc.. Lavigne, D. et Lepage, Richard. 1998. « Extraction de géons d'une image d'illuminance par le biais d'une modélisation tridimensionnelle de composantes volumétriques projetées de pièces manufacturées ». Communication lors de la conférence : 66e Congrès de l'ACFAS (Québec, QC, Canada, 11-13 mai 1998).
Le Thanh, Nguyen-Meidine, Granger, Eric, Kiran, Madhu et Blais-Morin, Louis-Antoine.
2017.
« A comparison of CNN-based face and head detectors for real-time video surveillance applications ».
In Seventh International Conference on Image Processing Theory, Tools and Applications (IPTA) (Montreal, QC, Canada, Nov. 28 - Dec. 01, 2017)
Piscataway, NJ, USA : IEEE.
Le Thanh, Nguyen-Meidine, Granger, Eric, Kiran, Madhu, Dolz, Jose et Blais-Morin, Louis-Antoine.
2020.
« Joint progressive knowledge distillation and unsupervised domain adaptation ».
In International Joint Conference on Neural Networks (IJCNN) (Glasgow, United Kingdom, July 19-24, 2020)
Piscataway, NJ, USA : IEEE.
Le, Thuy-Hong-Loan, Maslyczyk, Alexis, Roberge, Jean-Philippe et Duchaine, Vincent.
2017.
« A highly sensitive multimodal capacitive tactile sensor ».
In 2017 IEEE International Conference on Robotics and Automation (ICRA) (Singapore, Singapore, May 29- June 03, 2017)
pp. 407-412.
Piscataway, NJ, USA : IEEE.
Legrene, Inoussa, Wong, Tony et Dessaint, Louis-A..
2024.
« Horizontal global solar irradiance prediction using genetic algorithm and LSTM methods ».
In IEEE 19th Conference on Industrial Electronics and Applications (ICIEA) (Kristiansand, Norway, Aug. 05-08, 2024)
Institute of Electrical and Electronics Engineers Inc..
Legrene, Inoussa, Wong, Tony et Dessaint, Lucas A..
2024.
« Practical cost effectiveness analysis for solar energy systems: Case study of stand-alone retail building ».
In IEEE 18th International Conference on Compatibility, Power Electronics and Power Engineering (CPE-POWERENG) (Gdynia, Poland, June 24-26, 2024)
Institute of Electrical and Electronics Engineers Inc..
Léonard, Simon, Lepage, Richard et Redarce, Tanneguy.
1999.
« Associative memory for geon-based object identification ».
In International Joint Conference on Neural Networks (Washington, DC, USA, Jul. 10-6, 1999)
pp. 3494-3499.
Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers. Lepage, R., Prieto, F., Grégoire, N. et Redarce, T.. 2000. « Inspection automatisée de pièces manufacturées ». Communication lors de la conférence : 68e congrès de l'ACFAS (Montréal, QC, Canada, 15-19 mai 2000).
Lepage, Richard.
2004.
« Data reduction in machine vision and remote sensing applications ».
In International Conference on Information and Communication Technologies: From Theory to Applications (Damascus, Syria, Apr. 19-23, 2004)
LXIII-LXIV.
Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers. Lepage, Richard. 1996. « Revue des principaux modèles de réseaux neuroniques en vision artificielle préattentive ». Communication lors de la conférence : Colloque multidisciplinaire L'intelligence artificielle dans les technologies de l'information tenu dans le cadre du Congrès de l'ACFAS (Montréal, QC, Canada, 13-17 mai 1996).
Lepage, Richard.
1997.
« Revue des principaux modèles de réseaux neuroniques en vision artificielle préattentive ».
In Les techniques d'intelligence artificielle appliquées aux technologies de l'information (Montréal, QC, Canada, 15-16 mai 1997)
Coll. « Cahiers Scientifiques », vol. 90.
pp. 100-115.
Montréal, Canada : Association Canadienne-Française pour l'Avancement des Sciences.
Lepage, Richard et Crevier, Daniel.
1994.
« Multiresolution neural network for the extraction of the primal sketch ».
In Intelligent Robots and Computer Vision XIII : Algorithms and Computer Vision (Boston, MA, USA, Oct. 31-Nov. 2, 1994)
Coll. « Proceedings of SPIE », vol. 2353.
pp. 375-384.
USA : SPIE.
Lepage, Richard et Granger, Éric.
2011.
« Méthodes d'évaluation de l'achalandage du quartier des spectacles : étape 1 : revue de documentation ».
Coll. « Rapport technique (École de technologie supérieure) », vol. ETS-RT-2011-002.
Montréal, Canada : École de technologie supérieure. 41 p.
Lepage, Richard, Lussier, J.-S. et Chenu, A..
2003.
« La vision par ordinateur et les réseaux de neurones artificiels pour caractériser et qualifier des aliments ».
In Acte des 3e Atelier sur Traitement et Analyse de l'Information : Méthodes et Applications (TAIMA 03) (Hammamet, Tunisie, 29 sept.-3 oct. 2003)
pp. 207-212.
Lepage, Richard, Lussier, J.-S. et Doyon, G..
2005.
« Estimation de la teneur en anthocyane au moyen de l'analyse par composantes principales (ACP) de la couleur des canneberges ».
In Actes des 4e Ateliers sur Traitement et Analyse de l'Information : Méthodes et Applications (TAIMA) (Hammamet, Tunisie, 26 sept.-1 oct. 2005)
pp. 517-522.
Lepage, Richard, Prieto, Flavio, Grégoire, Normand, Redarce, Tanneguy, Lavigne, Daniel et Doré, Sylvie.
1999.
« Inspection automatisée de pièces manufacturées ».
In Troisième conférence internationale sur l'automatisation industrielle, École de technologie supérieure, Montréal, 7-9 juin 1999 : actes de la conférence = Third International Conference on Industrial Automation, École de technologie supérieure, Montréal, (Montréal, QC, Canada, 7-9 juin 1999)
14.13-14.16.
Montreal, QC, Canada : Association internationale de l'automatisation industrielle.
Lepage, Richard, Rouhana, Rouhana G., St.-Onge, Benoît, Noumeir, Rita et Desjardins, Robert.
2000.
« Cellular neural network for automated detection of geological lineaments on Radarsat images ».
IEEE Transactions on Geoscience and Remote Sensing, vol. 38, nº 3.
pp. 1224-1233.
Lepage, Richard et Solaiman, Bassel.
2003.
« Les réseaux de neurones artificiels et leurs applications en imagerie et en vision par ordinateur ».
Montréal, Canada : École de technologie supérieure. 446 p. Lequoy, P., Charbonneau, C., Liberelle, B., De Crescenzo, G. et Lerouge, Sophie. 2012. « Chondroitin sulfate - epidermal growth factor (EGF) coating for stent-grafts: versatility and optimization by oriented tethering ». Communication lors de la conférence : 9th World Biomaterials Congress (WBC) (Chengdu, Chine, June 1-5, 2012).
Levesque, Julien-Charles, Durand, Audrey, Gagné, Christian et Sabourin, Robert.
2017.
« Bayesian optimization for conditional hyperparameter spaces ».
In 2017 International Joint Conference on Neural Networks (IJCNN) (Anchorage, AK, USA, May 14-19, 2017)
pp. 286-293.
Piscataway, NJ, USA : IEEE.
Levesque, Julien-Charles, Durand, Audrey, Gagne, Christian et Sabourin, Robert.
2012.
« Multi-objective evolutionary optimization for generating ensembles of classifiers in the ROC space ».
In GECCO'12 : Proceedings of the fourteenth international conference on Genetic and evolutionary computation conference (Philadelphia, PA, USA, July 7-11, 2012)
pp. 879-886.
New-York, NY : Association for Computing Machinery.
Lévesque, Julien-Charles, Gagné, Christian et Sabourin, Robert.
2016.
« Bayesian hyperparameter optimization for ensemble learning ».
In Conference on Uncertainty in Artificial Intelligence (UAI) (Jersey City, NJ, USA, June 25-29, 2016)
pp. 437-446.
Association for Uncertainty in Artificial Intelligence (AUAI).
Lévesque, Julien-Charles, Gagné, Christian et Sabourin, Robert.
2013.
« Ensembles of budgeted kernel support vector machines for parallel large scale learning ».
In NIPS Workshop on Big Learning: Advances in Algorithms and Data Management (Lake Tahoe, NV, USA, Dec 9, 2013)
Lévesque, S., Landry, Jacques-André et Gagnon, L.. 2004. « S31 intelligent industrial inspection station ». Affiche présentée lors de la conférence : 14th Annual Canadian Conference on Intelligent Systems (Ottawa, ON, Canada, June 6-8, 2004).
Li, Sen, Cheriet, Farida, Gauthier, Lou et Laporte, Catherine.
2024.
« Automatic 3D lamina curve extraction from freehand 3D ultrasound data using sequential localization recurrent convolutional networks ».
IEEE Transactions on Ultrasonics, Ferroelectrics, and Frequency Control.
Li, Sen, Gauthier, Lou, Cheriet, Farida, Fortin, Carole, Paquette, Philippe et Laporte, Catherine.
2023.
« Lamina landmark detection in ultrasound images: a preliminary study ».
In SPIE Medical Imaging 2023: Ultrasonic Imaging and Tomography (San Diego, CA, USA, 2023)
Coll. « Progress in Biomedical Optics and Imaging », vol. 12470.
SPIE.
Li, Xuan, Desrosiers, Christian et Liu, Xue.
2023.
« Deep neural forest for out-of-distribution detection of skin lesion images ».
IEEE Journal of Biomedical and Health Informatics, vol. 27, nº 1.
pp. 157-165.
Li, Xuan, Desrosiers, Christian et Liu, Xue.
2022.
« Symmetric contrastive loss for out-of-distribution skin lesion detection ».
In 19th IEEE International Symposium on Biomedical Imaging (ISBI) (Kolkata, India, Mar. 28-31, 2022)
IEEE Computer Society.
Li, Xuan, Lu, Yuchen, Desrosiers, Christian et Liu, Xue.
2020.
« Out-of-distribution detection for skin lesion images with deep isolation forest ».
In Machine Learning in Medical Imaging : 11th International Workshop, MLMI, , Held in Conjunction with MICCAI 2020 : Proceedings (Lima, Peru, Oct. 04, 2020)
Coll. « Lecture Notes in Computer Science », vol. 12436.
pp. 91-100.
Springer.
Li, Yangke, Wei, Guangshun, Desrosiers, Christian et Zhou, Yuanfeng.
2024.
« Decoupled and boosted learning for skeleton-based dynamic hand gesture recognition ».
Pattern Recognition, vol. 153.
Li, Yujie, Tan, Benying, Ding, Shuxue, Desrosiers, Christian et Chaddad, Ahmad.
2023.
« Symmetry structured analysis sparse coding for key frame extraction ».
In Machine Learning for Cyber Security : 4th International Conference, ML4CS (Guangzhou, China, Dec. 02-04, 2022)
Coll. « Lecture Notes in Computer Science », vol. 13655.
pp. 568-585.
Springer Science and Business Media.
Li, Yun, Cheriet, Mohamed et Suen, C.Y..
2005.
« A threshlod selection method based on multiscale and graylevel co-occurrence matrix analysis ».
In 8th International Conference on Document Analysis and Recognition (ICDAR) (Seoul, South Korea, Aug. 29-Sept. 1, 2005)
pp. 575-579.
Los Alamitos, CA, USA : Institute of Electrical and Electronics Engineers Computer Society.
Li, Yun, Naoi, Satoshi, Cheriet, Mohamed et Suen, Ching Y..
2004.
« A segmentation method for touching italic characters ».
In 17th International Conference on Pattern Recognition (ICPR) (Cambridge, United kingdom, Aug. 23-26, 2004)
pp. 594-597.
Los Alamitos, CA, USA : Institute of Electrical and Electronics Engineers Computer Society. Liozon, F., Devaux, J. Y. et Noumeir, Rita. 1996. « Détection de contour ventriculaire gauche ». Communication lors de la conférence : Annales de l'ACFAS (Montréal, QC, Canada, 13-17 mai 1996).
Lisboa De Almeida, Paulo R., Oliveira, Luiz S., De Souza Britto, Alceu et Sabourin, Robert.
2016.
« Handling concept drifts using dynamic selection of classifiers ».
In IEEE 28th International Conference on Tools with Artificial Intelligence (ICTAI) (San Jose, CA, USA, Nov. 06-08, 2016)
pp. 989-995.
IEEE Computer Society.
Liu, Bingyuan, Ben Ayed, Ismail, Galdran, Adrian et Dolz, Jose.
2022.
« The devil is in the margin: Margin-based label smoothing for network calibration ».
In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (New Orleans, LA, USA, June 18-24, 2022)
pp. 80-88.
Liu, Bingyuan, Desrosiers, Christian, Ben Ayed, Ismail et Dolz, Jose.
2023.
« Segmentation with mixed supervision: Confidence maximization helps knowledge distillation ».
Medical Image Analysis, vol. 83.
Liu, Bingyuan, Dolz, Jose, Galdran, Adrian, Kobbi, Riadh et Ben Ayed, Ismail.
2024.
« Do we really need dice? The hidden region-size biases of segmentation losses ».
Medical Image Analysis, vol. 91.
Liu, Bingyuan, Rony, Jérôme, Galdran, Adrian, Dolz, Jose et Ben Ayed, Ismail.
2023.
« Class adaptive network calibration ».
In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (Vancouver, BC, Canada, June 17-24, 2023)
pp. 16070-16079.
IEEE Computer Society.
Liu, Jinhua, Cui, Zhiming, Desrosiers, Christian, Lu, Shuyi et Zhou, Yuanfeng.
2022.
« Grayscale self-adjusting network with weak feature enhancement for 3D lumbar anatomy segmentation ».
Medical Image Analysis, vol. 81.
Liu, Jinhua, Desrosiers, Christian, Yu, Dexin et Zhou, Yuanfeng.
2024.
« Semi-supervised medical image segmentation using cross-style consistency with shape-aware and local context constraints ».
IEEE Transactions on Medical Imaging, vol. 43, nº 4.
pp. 1449-1461.
Liu, Jinhua, Desrosiers, Christian et Zhou, Yuanfeng.
2020.
« Att-MoE: Attention-based Mixture of Experts for nuclear and cytoplasmic segmentation ».
Neurocomputing, vol. 411.
pp. 139-148.
Liu, Jinhua, Desrosiers, Christian et Zhou, Yuanfeng.
2022.
« Semi-supervised medical image segmentation using cross-model pseudo-supervision with shape awareness and local context constraints ».
In Medical Image Computing and Computer Assisted Intervention – MICCAI 2022 25th International Conference : Proceedings VIII (Singapore, Singapore, Sept. 18-22, 2022)
Coll. « Lecture Notes in Computer Science », vol. 13438.
pp. 140-150.
Springer Science and Business Media Deutschland GmbH.
Liu, Ke, Suen, Ching Y., Cheriet, Mohamed, Said, Joseph N., Nadal, Christine et Tang, Yuan Y..
1997.
« Automatic extraction of baselines and data from check images ».
International Journal of Pattern Recognition and Artificial Intelligence, vol. 11, nº 4.
pp. 675-697. Lulich, Steven M., Enamundram, M. V., Karthik, Naga et Laporte, Catherine. 2020. « Automatic tongue surface extraction from 3D ultrasound using 3D SLURP ». Communication lors de la conférence : UltraFest IX : Ultrasound Imaging for Speech and Language (En ligne, Oct. 21-24, 2020).
Luo, Jie, Frisken, Sarah, Machado, Ines, Zhang, Mlaomlao, Pieper, Steve, Golland, Polina, Toews, Matthew, Unadkat, Prashln, Sedghi, Alireza, Zhou, Haoyln, Mehrtash, Alireza, Preiswerk, Frank, Cheng, Cheng-Chleh, Golby, Alexandra, Sugiyama, Masashi et Wells, William M. III.
2018.
« Using the variogram for vector outlier screening: application to feature-based image registration ».
International Journal of Computer Assisted Radiology and Surgery, vol. 13, nº 12.
pp. 1871-1880.
Luo, Jie, Sedghi, Alireza, Popuri, Karteek, Cobzas, Dana, Zhang, Miaomiao, Preiswerk, Frank, Toews, Matthew, Golby, Alexandra, Sugiyama, Masashi, Wells, William M. et Frisken, Sarah.
2019.
« On the applicability of registration uncertainty ».
In Medical Image Computing and Computer Assisted Intervention - MICCAI 2019. 22nd International Conference : Proceedings (Shenzhen, China, Oct. 13-17, 2019)
Coll. « Lecture Notes in Computer Science », vol. 11765.
pp. 410-419.
Cham, Switzerland : Springer International Publishing.
Luo, Jie, Toews, Matthew, Machado, Ines, Frisken, Sarah, Zhang, Miaomiao, Preiswerk, Frank, Sedghi, Alireza, Ding, Hongyi, Pieper, Steve, Golland, Polina, Golby, Alexandra, Sugiyama, Masashi et Wells Iii, William M..
2018.
« A feature-driven active framework for ultrasound-based brain shift compensation ».
In Medical Image Computing and Computer Assisted Intervention – MICCAI 2018 : 21st International Conference, Granada, Spain, September 16-20, 2018, Proceedings, Part IV (Granada, Spain, Sept. 16-20, 2018)
Coll. « Lecture Notes in Computer Science », vol. 11073.
pp. 30-38.
Springer.
M. O. Cruz, Rafael, Sabourin, Robert et Cavalcanti, George D. C..
2018.
« On dynamic ensemble selection and data preprocessing for multi-class imbalance learning ».
In Proceedings of the International Conference on Pattern Recognition and Artificial Intelligence (ICPRAI'2018) (Montréal, QC, Canada, May 13-17, 2018)
pp. 189-194.
CENPARMI, Concordia University.
Ma, Irwin, Wong, Tony et Sankar, Thiagas.
2007.
« An engineering approach to forecast volatility of financial indices ».
International Journal of Computational Intelligence, vol. 3, nº 1.
pp. 23-35.
Ma, Irwin, Wong, Tony et Sankar, Thiagas.
2005.
« Volatility forecast by discrete stochastic optimization and genetic algorithms ».
In 4th International Conference on Computational Intelligence in Economics and Finance (CIEF) (Salt Lake City, UT, USA, July 21-26, 2005)
pp. 992-996.
Ma, Irwin, Wong, Tony et Sankar, Thiagas.
2007.
« Volatility forecasting using time series data mining and evolutionary computation techniques ».
In Proceedings of the 9th annual conference on Genetic and evolutionary computation (London, UK, Jul. 7-11, 2007)
p. 2262.
New York, NY, USA : Association for Computing Machinery.
Ma, Irwin, Wong, Tony, Sankar, Thiagas S. et Siu, Raymond.
2004.
« Forecasting the volatility of a financial index by wavelet transform and evolutionary algorithm ».
In IEEE International Conference on Systems, Man and Cybernetics (The Hague, Netherlands, Oct. 10-13, 2004)
pp. 5824-5829.
Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers.
Mabrouk, Mohamed, Rajan, Sreeraman, Bolic, Miodrag, Forouzanfar, Mohamad, Dajani, Hilmi R. et Batkin, Izmail.
2016.
« Human breathing rate estimation from radar returns using harmonically related filters ».
Journal of Sensors, vol. 2016.
Machado, Inês, Toews, Matthew, George, Elizabeth, Unadkat, Prashin, Essayed, Walid, Luo, Jie, Teodoro, Pedro, Carvalho, Herculano, Martins, Jorge, Golland, Polina, Pieper, Steve, Frisken, Sarah, Golby, Alexandra, Wells III, William et Ou, Yangming.
2019.
« Deformable MRI-Ultrasound registration using correlation-based attribute matching for brain shift correction: accuracy and generality in multi-site data ».
NeuroImage, vol. 202.
Machado, Inês, Toews, Matthew, Luo, Jie, Unadkat, Pashin, Essayed, Walid, George, Elizabeth, Teodoro, Pedro, Carvalho, Herculano, Martins, Jorge, Golland, Polina, Pieper, Steve, Frisken, Sarah, Golby, Alexandra et Wells, William III.
2018.
« Non-rigid registration of 3D ultrasound for neurosurgery using automatic feature detection and matching ».
International Journal of Computer Assisted Radiology and Surgery, vol. 13, nº 10.
pp. 1525-1538.
Machado, Ines, Toews, Matthew, Luo, Jie, Unadkat, Prashin, Essayed, Walid, George, Elizabeth, Teodoro, Pedro, Carvalho, Herculano, Martins, Jorge, Golland, Polina, Pieper, Steve, Frisken, Sarah, Golby, Alexandra, Wells, William et Ou, Yangming.
2018.
« Deformable MRI-ultrasound registration via attribute matching and mutual-saliency weighting for image-guided neurosurgery ».
In Simulation, Image Processing, and Ultrasound Systems for Assisted Diagnosis and Navigation : International Workshops, POCUS 2018, BIVPCS 2018, CuRIOUS 2018, and CPM 2018, Held in Conjunction with MICCAI 2018, Granada, Spain, September 16–20, 2018, Proceed (Granada, Spain, Sept. 16-20, 2018)
Coll. « Lecture Notes in Computer Science », vol. 11042.
pp. 165-171.
Springer Verlag.
Machetto, Antoine, Communier, David, Botez, Ruxandra, Carranza Moyao, Oscar et Wong, Tony.
5 avril 2017.
« Automating Wing Angle Changes inside the LARCASE Price – Païdoussis Wind Tunnel ».
[Article de recherche]. Substance ÉTS.
Machetto, Antoine, Communier, David, Botez, Ruxandra, Carranza Moyao, Oscar et Wong, Tony.
5 avril 2017.
« Automatisation du changement d’angle d’une aile dans la soufflerie Price – Païdoussis du LARCASE ».
[Article de recherche]. Substance ÉTS.
Mailloux, Guy E., Noumeir, Rita et Lemieux, Raymond.
1993.
« Deriving the multiplicative algebraic reconstruction algorithm (MART) by the method of convex projection (POCS) ».
In 1993 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP-93) (Minneapolis, MN, USA, Apr. 27-30, 1993)
pp. 457-460.
IEEE.
Maleki Varnosfaderani, Shiva et Forouzanfar, Mohamad.
2024.
« The role of AI in hospitals and clinics: Transforming healthcare in the 21st century ».
Bioengineering, vol. 11, nº 4.
Marcialis, Gian Luca, Didaci, Luca, Pisano, Alessandro, Granger, Éric et Roli, Fabio.
2012.
« Why template self-update should work in biometric authentication systems? ».
In 2012 11th International Conference on Information Science, Signal Processing and their Applications (ISSPA) (Montreal, QC, Canada, July 2-5, 2012)
pp. 1086-1091.
Washington, DC : IEEE Computer Society.
Marcoux, Isabelle, Ménard, Lucie et Laporte, Catherine.
2022.
« Learnability of ultrasound tongue imaging devices in speech-language pathology ».
[Résumé d'une communication à une conférence]. Journal of the Acoustical Society of America, vol. 151, nº 4_Supplement.
A133-A133.
Marin, Dmitrii, Tang, Meng, Ben Ayed, Ismail et Boykov, Yuri.
2019.
« Beyond gradient descent for regularized segmentation losses ».
In 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (Long Beach, CA, USA, June 15-20, 2019)
pp. 10179-10188.
IEEE.
Marin, Dmitrii, Tang, Meng, Ben Ayed, Ismail et Boykov, Yuri Y..
2019.
« Kernel clustering: density biases and solutions ».
IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 41, nº 1.
pp. 136-147.
Martel, Simon Longtin, Bashir, Musavir, Botez, Ruxandra M. et Wong, Tony.
2023.
« A pareto multi-objective optimization of a camber morphing airfoil using non-dominated sorting genetic algorithm ».
In AIAA SciTech Forum and Exposition, 2023 (National Harbor, MD, USA, Jan. 23-27, 2023)
Coll. « AIAA Paper », vol. AIAA 2023-1583.
American Institute of Aeronautics and Astronautics Inc, AIAA.
Martin, Ségolène, Boudiaf, Malik, Chouzenoux, Emilie, Pesquet, Jean-Christophe et Ben Ayed, Ismail.
2022.
« Towards practical few-shot query sets: Transductive minimum description length inference ».
In Advances in Neural Information Processing Systems 35 (NeurIPS 2022) (New Orleans, LA, USA, Nov. 28-Dec. 09, 2022)
Neural information processing systems foundation. Martins, C.C.A., Lamontagne, P., Parriott, L., Landry, Jacques-André, Marceau, D., Chion, C., Turgeon, S., Michaud, R., Menard, N., Dionne, S. et Cantin, G.. 2008. « Conceptualizing an individual-based model to simulate marine mammal behaviour in the Saint Lawrence estuary ». Communication lors de la conférence : Northwest Atlantic Fisheries Organization Symposium (NAFO) (Dartmouth, NS, Canada, Sept. 29-Oct. 1, 2008).
Martins, J. G., Oliveira, L. S., Britto, A. S. et Sabourin, Robert.
2015.
« Forest species recognition based on dynamic classifier selection and dissimilarity feature vector representation ».
Machine Vision and Applications, vol. 26, nº 2-3.
pp. 279-293.
Martins, J. G., Oliveira, L. S. et Sabourin, Robert.
2012.
« Combining textural descriptors for forest species recognition ».
In 38th Annual Conference on IEEE Industrial Electronics Society, IECON 2012 (Montreal, QC, Canada, Oct. 25-28, 2012)
pp. 1483-1488.
Washington, DC : IEEE Computer Society.
Martins, J., Oliveira, L. S., Nisgoski, S. et Sabourin, R..
2013.
« A database for automatic classification of forest species ».
Machine Vision and Applications, vol. 24, nº 3.
pp. 567-578.
Martins, Jefferson G., Oliveira, Luiz E. S., Sabourin, Robert et Britto Jr, Alceu S..
2018.
« Forest species recognition based on ensembles of classifiers ».
In 2018 IEEE 30th International Conference on Tools with Artificial Intelligence (ICTAI) (Volos, Greece, Nov. 5-7, 2018)
pp. 371-378.
Los Alamitos, CA, USA : IEEE Computer Society.
Maruyama, Teruo M., Oliveira, Luiz S., Britto, Alceu S. et Sabourin, Robert.
2021.
« Intrapersonal parameter optimization for offline handwritten signature augmentation ».
IEEE Transactions on Information Forensics and Security, vol. 16.
pp. 1335-1350.
Masson, Hugo, Bhuiyan, Amran, Nguyen-Meidine, Le Thanh, Javan, Mehrsan, Siva, Parthipan, Ben Ayed, Ismail et Granger, Eric.
2021.
« Exploiting prunability for person re-identification ».
EURASIP Journal on Image and Video Processing, vol. 2021, nº 1.
Mathlouthi, Y., Mitiche, A. et Ben Ayed, I..
2016.
« Calcul variationnel des dérivées d’une image et application à l’estimation du flot optique et du flot de scène ».
In Reconnaissance des Formes et l'Intelligence Artificielle (RFIA'16) (Clermont Ferrand, France, 27 juin - 1 juil. 2016)
Mathlouthi, Yosra, Mitiche, Amar et Ben Ayed, Ismail.
2016.
« Boundary preserving variational image differentiation ».
In Pattern Recognition : 38th German Conference, GCPR 2016, Hannover, Germany, September 12-15, 2016, Proceedings (Hannover, Germany, Sept. 12-15, 2016)
Coll. « Lecture Notes in Computer Science », vol. 9796.
pp. 355-364.
Springer International Publishing.
Mathlouthi, Yosra, Mitiche, Amar et Ben Ayed, Ismail.
2016.
« Monocular, boundary-preserving joint recovery of scene flow and depth ».
Frontiers in ICT, vol. 3.
Mathlouthi, Yosra, Mitiche, Amar et Ben Ayed, Ismail.
2017.
« Regularised differentiation for image derivatives ».
IET Image Processing, vol. 11, nº 5.
pp. 310-316.
Maupin, P., Apparicio, P., Lepage, R. et Solaiman, B..
2000.
« Artificial vision as an interface between geographical information systems and remote sensing: first results of a case study on urban quality of life and Ambrosia Artemisiifolia Cartography (common ragweed) ».
In Vision Interface '2000: actes/proceedings, Palais des Congrès, Montreal, Québec (Canada), 14-17 Mai/May 2000 (Montreal, QC, Canada, May 14-17, 2000)
pp. 158-165.
Toronto, ON, Canada : L'Association Canadienne de l'Informatique. Maupin, P., Granger, Éric, Wong, Tony et Sabourin, Robert. 2004. « A review of situation recognition models and systems ». Communication lors de la conférence : The 24th Army Science Conference (ASC 2004) (Orlando, FL, USA, Nov. 29-Dec. 2, 2004).
Maupin, Patrick, Lepage, Richard et Solaiman, Basel.
1999.
« The study of change using conditional morphological operators ».
In IEEE 1999 International Geoscience and Remote Sensing Symposium, 1999. IGARSS '99 Proceedings (Hamburg, Germany, June 28-July 2, 1999)
pp. 916-918.
Piscataway, NJ, USA : IEEE.
Mazghani, Neila, Mitiche, Amar et Cheriet, Mohamed.
2005.
« A new representation of shape and its use for high performance in on-line Arabic character recognition by an associative memory ».
International Journal on Document Analysis and Recognition, vol. 7, nº 4.
pp. 201-210.
Meethal, Akhil, Granger, Eric et Pedersoli, Marco.
2023.
« Cascaded zoom-in detector for high resolution aerial images ».
In IEEE Computer Society Conference on Computer Vision and Pattern Recognition Workshops (Vancouver, BC, Canada, June 17-24, 2023)
pp. 2046-2055.
IEEE Computer Society.
Meethal, Akhil, Pedersoli, Marco, Belharbi, Soufiane et Granger, Eric.
2020.
« Convolutional STN for weakly supervised object localization ».
In 25th International Conference on Pattern Recognition (ICPR) (Milan, Italy - En ligne, Jan. 10-15, 2021)
pp. 10157-10164.
IEEE.
Meethal, Akhil, Pedersoli, Marco, Zhu, Zhongwen, Romero, Francisco Perdigon et Granger, Eric.
2022.
« Semi-weakly supervised object detection by sampling pseudo ground-truth boxes ».
In International Joint Conference on Neural Networks (IJCNN) (Padua, Italy, July 18-23, 2022)
Institute of Electrical and Electronics Engineers Inc..
Mei, Jie, Desrosiers, Christian et Frasnelli, Johannes.
2021.
« Machine learning for the diagnosis of parkinson's disease: A review of literature ».
Frontiers in Aging Neuroscience, vol. 13.
Mei, Jie, Tremblay, Cecilia, Stikov, Nikola, Desrosiers, Christian et Frasnelli, Johannes.
2021.
« Differentiation of Parkinson's disease and non-Parkinsonian olfactory dysfunction with structural MRI data ».
In Medical Imaging : Image Processing : Progress in Biomedical Optics and Imaging (En ligne, Feb. 15-19, 2021)
Coll. « Proceedings of SPIE », vol. 11597.
SPIE.
Mekhazni, Djebril, Bhuiyan, Amran, Ekladious, George et Granger, Eric.
2020.
« Unsupervised domain adaptation in the dissimilarity space for person re-identification ».
In Computer Vision – ECCV 2020 : 16th European Conference, Glasgow, UK, August 23–28, 2020, Proceedings, Part VI (Glasgow, United Kingdom, Aug. 23-28, 2020)
Coll. « Lecture Notes in Computer Science », vol. 12372.
pp. 159-174.
Springer.
Mekhazni, Djebril, Dufau, Maximilien, Desrosiers, Christian, Pedersoli, Marco et Granger, Eric.
2023.
« Camera alignment and weighted contrastive learning for domain adaptation in video person ReID ».
In IEEE Winter Conference on Applications of Computer Vision, WACV (Waikoloa, HI, USA, Jan. 02-07, 2023)
pp. 1624-1633.
Institute of Electrical and Electronics Engineers Inc..
Mello, Alexandre R., Stemmer, Marcelo R. et Koerich, Alessandro L..
2020.
« Incremental and decremental fuzzy bounded twin support vector machine ».
Information Sciences, vol. 526.
pp. 20-38.
Menasri, F., Vincent, N., Augustin, E. et Cheriet, Mohamed.
2007.
« Shape-based alphabet for off-line Arabic handwriting recognition ».
In 9th International Conference on Document Analysis and Recognition (ICDAR) (Curitiba, Brazil, Sept. 23-26, 2007)
pp. 969-973.
Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers. Menelau Oliveira E. Cruz, Rafael. 2016. « Dynamic selection of ensemble of classifiers using meta-learning ». Thèse de doctorat. Montréal, École de technologie supérieure, 293 p. Menelau Oliveira E. Cruz, Rafael. 2011. « Methods for dynamic selection and fusion of ensemble of classifiers ». Mémoire de maîtrise. Brésil, Universidade Federal de Pernambuco
Mezai, L., Sehad, A., Sekkai, L. et Cheriet, M..
2005.
« Estimation de l'inclinaison des documents arabes imprimés par la transformée de Hough ».
In 4e conférence sur le Génie Electrique (Bordj-El-Bahri Alger, Algérie, 12-13 avr. 2005)
Mezai, L., Sehad, A., Sekkai, L. et Cheriet, M..
2005.
« Fast method for skew detection of printed Arabic documents using linear regression ».
In International Computer Systems & Information Technology Conference ICSIT'05 (Alger, Algérie, July 19-21, 2005)
Mezghani, N., Mitiche, A. et Cheriet, Mohamed. 2006. « Estimation de densité de probabilité par maximum d'entropie et reconnaissance bayesienne de caractères Arabes en-ligne. ». Communication lors de la conférence : 15e Congrès Francophone AFRIF-AFIA Reconnaissance des Formes et Intelligence Artificielle (RFIA) (Tours, France, 25-27 janv. 2006).
Mezghani, N., Mitiche, A. et Cheriet, Mohamed.
2005.
« Représentation des formes par des histogrammes de caractéristiques et son application à la reconnaissance en-ligne de caractères Arabes isolés ».
In 3e Conférence Internationale : Sciences Électroniques, Technologies de l'Information et des Télécommunications (SETIT) (Tunis, Tunisie, 27-31 mars 2005)
Mezghani, Neila, Cheriet, Mohamed et Mitiche, Amar.
2003.
« Combination of pruned Kohonen maps for on-line Arabic characters recognition ».
In 7th International Conference on Document Analysis and Recognition (Edinburgh, Scotland, Aug. 3-6, 2003)
pp. 900-904.
Los Alamitos, CA, USA : Institute of Electrical and Electronics Engineers Computer Society.
Mezghani, Neila, Mitiche, Amar et Cheriet, Mohamed.
2004.
« A new representation of character shape and its use in on-line character recognition by a self organizing map ».
In International Conference on Image Processing (ICIP) (Singapore, Singapore, Oct. 18-21, 2004)
pp. 2123-2126.
Los Alamitos, CA, USA : Institute of Electrical and Electronics Engineers Computer Society.
Mezghani, Neila, Mitiche, Amar et Cheriet, Mohamed.
2008.
« Bayes classification of online Arabic characters by Gibbs modeling of class conditional densities ».
IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 30, nº 7.
pp. 1121-1131.
Mezghani, Neila, Mitiche, Amar et Cheriet, Mohamed.
2004.
« On-line character recognition using histograms of features and an associative memory ».
In IEEE International Conference on Acoustics, Speech and Signal Processing (Montreal, Canada, May 17-21, 2004)
V-841.
Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers.
Mezghani, Neila, Mitiche, Amar et Cheriet, Mohamed.
2002.
« On-line recognition of handwritten Arabic characters using a Kohonen neural network ».
In 8th International Workshop on Frontiers in Handwriting Recognition (Niagara on the Lake, ON, Canada, Aug. 6-8, 2002)
pp. 490-495.
Los Alamitos, CA, USA : Institute of Electrical and Electronics Engineers Computer Society.
Mezni, Ameni, Charlton, Douglas W., Tremblay, Christine et Desrosiers, Christian.
2020.
« Deep learning for multi-step performance prediction in operational optical networks ».
In Conference on Lasers and Electro-Optics (CLEO) (San Jose, CA, USA, May 10-15, 2020)
IEEE.
M’hiri, Faten, Duong, Luc, Desrosiers, Christian, Dahdah, Nagib, Miró, Joaquim et Cheriet, Mohamed.
2017.
« Automatic evaluation of vessel diameter variation from 2D X-ray angiography ».
International Journal of Computer Assisted Radiology and Surgery, vol. 12, nº 11.
pp. 1867-1876.
Mhiri, Mohamed, Abuelwafa, Sherif, Desrosiers, Christian et Cheriet, Mohamed.
2017.
« Footnote-based document image classification using 1D convolutional neural networks and histograms ».
In Seventh International Conference on Image Processing Theory, Tools and Applications (IPTA) (Montreal, QC, Canada, Nov. 28 - Dec. 01, 2017)
Piscataway, NJ, USA : IEEE.
Mhiri, Mohamed, Abuelwafa, Sherif, Desrosiers, Christian et Cheriet, Mohamed.
2018.
« Hierarchical representation learning using spherical k-means for segmentation-free word spotting ».
Pattern Recognition Letters, vol. 101.
pp. 52-59.
Mhiri, Mohamed, Cheriet, Mohamed et Desrosiers, Christian.
2017.
« Query-by-example word spotting using multiscale features and classification in the space of representation differences ».
In IEEE International Conference on Image Processing (ICIP) (Beijing, China, Sept. 17-20, 2017)
pp. 1112-1116.
Piscataway, NJ, USA : IEEE.
Mhiri, Mohamed, Desrosiers, Christian et Cheriet, Mohamed.
2018.
« Convolutional pyramid of bidirectional character sequences for the recognition of handwritten words ».
Pattern Recognition Letters, vol. 111.
pp. 87-93.
Mhiri, Mohamed, Desrosiers, Christian et Cheriet, Mohamed.
2019.
« Word spotting and recognition via a joint deep embedding of image and text ».
Pattern Recognition, vol. 88.
pp. 312-320.
Michel Koerich, Karl, Esmailpour, Mohammad, Abdoli, Sajjad, Britto, Alceu De S. et Lameiras Koerich, Alessandro.
2020.
« Cross-representation transferability of adversarial attacks: From spectrograms to audio waveforms ».
In International Joint Conference on Neural Networks (IJCNN) (Glasgow, United Kingdom, July 19-24, 2020)
IEEE.
Miled, H., Cheriet, M., Olivier, C. et Lecourtier, Y..
1998.
« Markovian modeling of arabic cursive handwriting ».
In Vision Interface '98 : proceedings, Vancouver, B.C., 18-20 June, 1998 (Vancouver, BC, Canada, June 18-20, 1998)
pp. 255-262.
Montréal : Canadian Image Processing and Pattern Recognition Society.
Miled, H., Cheriet, Mohamed, Olivier, Claude et Lecourtier, Y..
1998.
« Modélisation markovienne de l'écriture arabe manuscrite: une approche analytique ».
In Actes du 1er colloque international francophone sur l'écrit et le document tenu dans le cadre du congrès de l'Acfas à Québec en mai 1998 (Québec, QC, Canada, 11-13 mai 1998)
Coll. « Cahiers de l'ACFAS », vol. 93.
pp. 50-59.
Montréal, QC, Canada : Association canadienne-française pour l'avancement des sciences.
Miled, H., Olivier, C. et Cheriet, Mohamed.
2000.
« Modélisation de la notion de pseudo-mot en reconnaissance de mots manuscrits arabes ».
In CIFED'2000. Colloque International Francophone sur l’Écrit et le Document (Lyon, France, 3-5 juil. 2000)
pp. 161-170.
Lausanne, Suisse : Presses polytechniques et universitaires romandes.
Miled, H., Olivier, C., Lecourtier, Y. et Cheriet, M..
1997.
« Coupling observation/letter for a Markovian modelisation applied to the recognition of Arabic handwriting ».
In Proceedings of the Fourth International Conference on Document Analysis and Recognition (Ulm, Germany, Aug. 18-20, 1997)
pp. 580-583.
Los Alamitos, CA, USA : IEEE.
Miled, H., Olivier, C., Lecourtier, Y. et Cheriet, M..
1996.
« Segmentation and description of arabic handwritten words by multi-agent approach ».
In The first KFUPM workshop on information and computer science: June 9, 1996; workshop proceedings (Dahran, Saudi Arabia, June 9, 1996)
pp. 151-157.
Dhahran, Saudi Arabia : KFUPM Press.
Miled, H., Olivier, C., Lecourtier, Y. et Cheriet, M..
1996.
« Segmentation et codage de mots manuscrits arabes par une approche Blackboard ».
In L'Ecrit et le document: 4ème colloque national sur ..., Nantes, France, 3-5 Juillet, 1996 (Nantes, France, 3-5 juil., 1996)
pp. 185-192.
Nantes, France : Université de Nantes.
Miles, Brandon, Ben Ayed, Ismail, Hojjat, Seyed-Parsa, Wang, Michael H., Li, Shuo, Fenster, Aaron et Garvin, Gregory J..
2016.
« Spine labeling in axial magnetic resonance imaging via integral kernels ».
Computerized Medical Imaging and Graphics, vol. 54.
pp. 27-34.
Miles, Brandon, Ben Ayed, Ismail, Law, Max W. K., Garvin, Greg, Fenster, Aaron et Li, Shuo.
2013.
« Spine image fusion via graph cuts ».
IEEE Transactions on Biomedical Engineering, vol. 60, nº 7.
pp. 1841-1850.
Milgram, J., Cheriet, Mohamed et Sabourin, Robert.
2005.
« Estimating accurate multi-class probabilities with support vector machines ».
In IEEE International Joint Conference on Neural Networks (IJCNN) (Montreal, Canada, Jul. 31-Aug. 4, 2005)
pp. 1906-1911.
Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers.
Milgram, J., Sabourin, Robert et Cheriet, Mohamed.
2005.
« Système de classification à deux niveaux de décision combinant approche par modélisation et machines à vecteurs de support ».
Traitement du Signal, vol. 22, nº 3.
pp. 293-304.
Milgram, Jonathan, Cheriet, Mohamed et Sabourin, Robert.
2006.
« "One against one" or "one against all" : which one is better for handwriting recognition with SVMs? ».
In 10th International Workshop on Frontiers in Handwriting Recognition (IWFHR) (La Baule, France, Oct. 23-26, 2006)
pp. 181-186.
Milgram, Jonathan, Cheriet, Mohamed et Sabourin, Robert.
2004.
« Speeding up the decision making of support vector classifiers ».
In Ninth International Workshop on Frontiers in Handwriting Recognition (IWFHR) (Tokyo, Japan, Oct. 26-29, 2004)
pp. 57-62.
Los Alamitos, CA, USA : Institute of Electrical and Electronics Engineers Computer Society.
Milgram, Jonathan, Sabourin, Robert et Cheriet, Mohamed.
2005.
« Combining model-based and discriminative approaches in a modular two-stage classification system : application to isolated handwritten digit recognition ».
Electronic Letters on Computer Vision and Image Analysis, vol. 5, nº 2.
pp. 1-15.
Milgram, Jonathan, Sabourin, Robert et Cheriet, Mohamed.
2004.
« Système de classification à deux niveaux de décision combinant approche par modélisation et machines à vecteurs de support ».
In Actes du huitième Colloque international francophone sur l'écrit et le document, CIFED'04, 21 - 25 juin 2004, La Rochelle (La Rochelle, France, 21-25 juin 2004)
pp. 25-29.
Milgram, Jonathan, Sabourin, Robert et Cheriet, Mohamed.
2004.
« Two-stage classification system combining model-based and discriminative approaches ».
In 17th International Conference on Pattern Recognition (ICPR) (Cambridge, UK, Aug. 23-26, 2004)
pp. 152-155.
Los Alamitos, CA, USA : Institute of Electrical and Electronics Engineers Computer Society.
Mingli, Zhang, Desrosiers, Christian, Yuhong, Guo, Caiming, Zhang, Khundrakpam, Budhachandra et Evans, Alan.
2018.
« Brain status prediction with non-negative projective dictionary learning ».
In Machine Learning in Medical Imaging. 9th International Workshop (MLMI 2018) held in conjunction with MICCAI 2018, 16 Sept. 2018 (Granada, Spain, Sept. 16, 2018)
Coll. « Lecture Notes in Computer Science », vol. 11046.
pp. 152-160.
Cham, Switzerland : Springer International Publishing.
Mitiche, Amar et Ben Ayed, Ismail.
2011.
« Variational and level set methods in image segmentation ».
Springer Berlin Heidelberg. 190 p.
Mkaouar, Mohamed, Lepage, Richard et Laurendeau, Denis.
1997.
« 3D object parts inference from range image data ».
In Conference on Rapid Product Development Technologies (Boston, MA, USA, Nov. 18-19, 1996)
Coll. « Proceedings of SPIE », vol. 2910.
pp. 18-27.
USA : SPIE.
Mkaouar, Mohamed, Lepage, Richard et Laurendeau, Denis.
1997.
« Finding salient groups in range image data ».
In Conference on Intelligent Robots and Computer Vision Xvi : Algorithms, Techniques, Active Vision, and Materials Handling (Pittsburgh, PA, USA, Oct. 14-17, 1997)
Coll. « Proceedings of SPIE », vol. 3208.
pp. 234-244.
USA : SPIE.
Mohammad-Moradi, Shahab, Khaloozadeh, Hamid, Forouzanfar, Mohamad, Paravi Torghabeh, Ramezan et Forghani, Nosratallah.
2009.
« Swarm intelligence in portfolio selection ».
In
Particle Swarm Optimization.
pp. 223-232. London, UK : IntechOpen.
Mohseni, Alireza, Duchaine, Vincent et Wong, Tony.
2024.
« Improvement in Monte Carlo localization using information theory and statistical approaches ».
Engineering Applications of Artificial Intelligence, vol. 131.
Mohseni, Alizera, Duchaine, Vincent et Wong, Tony.
2021.
« Experimental study of path planning problem using EMCOA for a holonomic mobile robot ».
Journal of Systems Engineering and Electronics, vol. 32, nº 6.
pp. 1450-1462.
Mohseni, Sayed Alireza, Duchaine, Vincent et Wong, Tony.
2017.
« A comparative study of the optimal control design using evolutionary algorithms: Application on a close-loop system ».
In Intelligent Systems Conference (IntelliSys) (London, UK, Sept. 07-08, 2017)
pp. 942-948.
Piscataway, NJ, USA : IEEE.
Mokhayeri, Fania et Granger, Eric.
2020.
« A paired sparse representation model for robust face recognition from a single sample ».
Pattern Recognition, vol. 100.
Mokhayeri, Fania et Granger, Eric.
2019.
« Robust video face recognition from a single still using a synthetic plus variational model ».
In 14th IEEE International Conference on Automatic Face & Gesture Recognition (FG 2019) (Lille, France, May 14-18, 2019)
Piscataway, NJ, USA : IEEE.
Mokhayeri, Fania et Granger, Eric.
2020.
« Video face recognition using siamese networks with block-sparsity matching ».
IEEE Transactions on Biometrics, Behavior, and Identity Science, vol. 2, nº 2.
pp. 133-144.
Mokhayeri, Fania, Granger, Eric et Bilodeau, Guillaume-Alexandre.
2019.
« Domain-specific face synthesis for video face recognition from a single sample per person ».
IEEE Transactions on Information Forensics and Security, vol. 14, nº 3.
pp. 757-772.
Mokhayeri, Fania, Granger, Éric et Bilodeau, Guillaume-Alexandre.
2015.
« Synthetic face generation under various operational conditions in video surveillance ».
In IEEE International Conference on Image Processing (ICIP) (Quebec City, QC, Canada, Sept. 27-30, 2015)
pp. 4052-4056.
IEEE.
Mokhayeri, Fania, Kamali, Kaveh et Granger, Éric.
2020.
« Cross-Domain face synthesis using a controllable GAN ».
In IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (Snowmass Village, CO, USA, Mar. 01-05, 2020)
pp. 241-249.
Institute of Electrical and Electronics Engineers Inc..
Molinier, Nathan, Painchaud-April, Guillaume, Le Duff, Alain, Toews, Matthew et Bélanger, Pierre.
2023.
« Ultrasonic imaging using conditional generative adversarial networks ».
Ultrasonics, vol. 133.
Monteiro, Marcos, Britto, Alceu S., Barddal, Jean P., Oliveira, Luiz S. et Sabourin, Robert.
2023.
« Exploring diversity in data complexity and classifier decision spaces for pool generation ».
Information Fusion, vol. 89.
pp. 567-587.
Monteiro, Marcos, Britto, Alceu S., Barddal, Jean P., Oliveira, Luiz et Sabourin, Robert.
2021.
« Classifier pool generation based on a two-level diversity approach ».
In 25th International Conference on Pattern Recognition (ICPR) (Milan, Italy, Jan. 10-15, 2021)
pp. 2414-2421.
IEEE.
Morita, M. E., Facon, J., Sabourin, R. et Bortolozzi, F..
1998.
« Approche morphologique de correction de l'inclinaison des mots dans l'écriture manuscrite ».
In Actes du 1er colloque international francophone sur l'écrit et le document tenu dans le cadre du congrès de l'Acfas à Québec en mai 1998 (Québec, QC, Canada, 11-13 mai 1998)
Coll. « Cahiers de l'ACFAS », vol. 93.
pp. 335-343.
Montréal, QC, Canada : Association canadienne-française pour l'avancement des sciences.
Morita, M. E., Garnes, S.J. A., Facon, J., Bortolozzi, F. et Sabourin, R..
1999.
« Estado da arte dos métodos de normalizaçao de palavras manuscritas em sistemas de reconhecimento ».
In International Seminar on knowledge/Document Management (ISKM/DM '99) (Curitiba, Brasil, Dec. 6-9, 1999)
pp. 103-119.
Morita, M. E., Lethelier, E., El Yacoubi, A., Bortolozzi, F. et Sabourin, R..
2000.
« An HMM-based approach for date recognition ».
In Fourth IAPR International Workshop on Document Analysis Systems, (DAS 2000) (Rio de Janeiro, Brazil, 10-13 December 2000)
pp. 233-244.
Morita, M. E., Lethelier, E., El Yacoubi, A., Bortolozzi, F. et Sabourin, R..
2000.
« Reconhecimento de palavras manuscritas referente ao mês do campo da data de cheques bancarios brasileirs baseado nos HMMs ».
In CLEI 2000, memorias (Monterrey, Mexico, Sept. 18-22, 2000)
Mexico : TEC de Monterrey.
Morita, M., Bortolozzi, F., Sabourin, R. et Facon, J..
1998.
« Abordagem morfológica conrreção da inclinação da linha de base da escrita ».
In ISDM'98-International Seminar on Document Management (Curitiba, Brasil, Nov. 10-11, 1998)
pp. 185-195.
Morita, Maria Emika, Lethelier, Edouard, El Yacoubi, Abdenaim, Bortolozzi, Flavio et Sabourin, Robert.
2000.
« Recognition of handwritten dates on bank checks using an HMM approach ».
In XIII Brazilian Symposium on Computer Graphics and Image Processing: proceedings: October 17-20, 2000, Gramado (RS), Brazil (Gramado, Brazil, Oct. 17-20, 2000)
pp. 113-120.
Los Alamitos, CA, USA : IEEE.
Morita, Marisa E., Bortolozzi, Flavio, Facon, Jacques et Sabourin, Robert.
1998.
« Morphological approach of handwritten word skew correction ».
In International Symposium on Computer Graphics, Image Processing, and Vision, 1998. Proceedings. SIBGRAPI '98 (Rio de Janeiro, Brazil, Oct. 20-23, 1998)
pp. 456-461.
IEEE Computer Society.
Morita, Marisa E., Facon, Jacques, Bortolozzi, Flavio, Garnés, Sylvio J. A. et Sabourin, Robert.
1999.
« Mathematical morphology and weighted least squares to correct handwriting baseline skew ».
In Proceedings of the Fifth International Conference on Document Analysis and Recognition, 1999. ICDAR '99 (Bangalore, India, Sept. 20-22, 1999)
pp. 430-433.
Piscataway, NJ, USA : IEEE.
Morita, Marisa, El Yacoubi, A., Sabourin, Robert, Bortolozzi, Flavio et Suen, Ching Y..
2001.
« Handwritten month word recognition on Brazilian bank cheques ».
In Proceedings of Sixth International Conference on Document Analysis and Recognition (Seattle, WA, USA, Sept. 10-13, 2001)
pp. 972-976.
Los Aalmitos, CA, USA : IEEE Comput. Soc.
Morita, Marisa, Oliveira, Luiz S. et Sabourin, Robert.
2005.
« Geração Automática de Conjuntos de Classificadores Através da Seleção de Características não Supervisionada ».
IEEE Latin America Transactions, vol. 3, nº 5.
pp. 447-453.
Morita, Marisa, Oliveira, Luiz S. et Sabourin, Robert.
2004.
« Unsupervised feature selection for ensemble of classifiers ».
In Ninth International Workshop on Frontiers in Handwriting Recognition (IWFHR-9) (Tokyo, Japan, Oct. 26-29, 2004)
pp. 81-86.
Los Alamitos, CA, USA : Institute of electrical and Electronics Engineers Computer Society.
Morita, Marisa, Oliveira, Luiz S., Sabourin, Robert, Bortolozzi, Flavio et Suen, Ching Y..
2002.
« HMM-MLP hybrid system to recognize handwritten dates ».
In International Joint Conference on Neural Networks (IJCNN) (Honolulu, HI, USA, May 12-17, 2002)
pp. 867-872.
Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers.
Morita, Marisa, Sabourin, Robert, Bortolozzi, F. et Suen, Ching Y..
2003.
« Unsupervised feature selection using multi-objective genetic algorithms for handwritten word recognition ».
In Seventh International Conference on Document Analysis and Recognition (Edinburgh, Scotland, Aug. 3-6, 2003)
pp. 666-670.
Los Alamitos, CA, USA : Institute of Electrical and Electronics Engineers Computer Society.
Morita, Marisa, Sabourin, Robert, Bortolozzi, Flavio et Suen, Ching Y..
2003.
« A recognition and verification strategy for handwritten word recognition ».
In Seventh International Conference on Document Analysis and Recognition (Edinburgh, UK, Aug. 3-6, 2003)
pp. 482-486.
Los Alamitos, CA, USA : Institute of Electrical and Electronics Engineers Computer Society.
Morita, Marisa, Sabourin, Robert, Bortolozzi, Flavio et Suen, Ching Y..
2002.
« Segmentation and recognition of handwritten dates ».
In Eighth International Workshop on Frontiers in Handwriting Recognition (Niagara on the Lake, Canada, Aug. 6-8, 2002)
pp. 105-110.
Los Alamitos, CA, USA : Institute of Electrical and Electronics Engineers Computer Society.
Morita, Marisa, Sabourin, Robert, Bortolozzi, Flavio et Suen, Ching Y..
2004.
« Segmentation and recognition of handwritten dates : an HMM-MLP hybrid approach ».
International Journal on Document Analysis and Recognition, vol. 6, nº 4.
pp. 248-262.
Motamedi, M. Reza, Florant, David et Duchaine, Vincent.
2017.
« Comparing the exteroceptive feedback of normal stress, skin stretch, and vibrotactile stimulation for restitution of static events ».
Frontiers in Robotics and AI, vol. 4.
Motamedi, M. Reza, Roberge, Jean-Philippe et Duchaine, Vincent.
2017.
« The Use of vibrotactile feedback to restore texture recognition capabilities, and the effect of subject training ».
IEEE Transactions on Neural Systems and Rehabilitation Engineering, vol. 25, nº 8.
pp. 1230-1239.
Motawe, Deya, Amin, Adnan et Sabourin, Robert.
1997.
« Segmentation of arabic cursive script ».
In Proceedings of the Fourth International Conference on Document Analysis and Recognition (Ulm, Germany, Aug. 18-20, 1997)
pp. 625-628.
Los Alamitos, CA, USA : International Association for Pattern Recognition.
Mounsaveng, Saypraseuth, Chiaroni, Florent, Boudiaf, Malik, Pedersoli, Marco et Ben Ayed, Ismail.
2024.
« Bag of tricks for fully test-time adaptation ».
In IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (Waikoloa, HI, USA, Jan. 03-08, 2024)
pp. 1925-1934.
Institute of Electrical and Electronics Engineers Inc..
Mounsaveng, Saypraseuth, Laradji, Issam, Ben Ayed, Ismail, Vazquez, David et Pedersoli, Marco.
2021.
« Learning data augmentation with online bilevel optimization for image classification ».
In IEEE Winter Conference on Applications of Computer Vision (WACV) (Waikoloa, HI, USA, Jan. 03-08, 2021)
pp. 1690-1699.
Institute of Electrical and Electronics Engineers Inc..
Mpinda Ataky, Steve Tsham, De Matos, Jonathan, Britto, Alceu De S., Oliveira, Luiz E. S. et Koerich, Alessandro L..
2020.
« Data augmentation for histopathological images based on gaussian-laplacian pyramid blending ».
In International Joint Conference on Neural Networks (IJCNN) (Glasgow, United Kingdom, July 19-24, 2020)
Institute of Electrical and Electronics Engineers Inc..
Murshed, N.A., Bortolozzi, F. et Sabourin, Robert.
1996.
« The use of neural networks for classification of cancerous cells based on one-class problem approach ».
In Progress in neural information processing : ICONIP'96 : proceedings of the International Conference on Neural Information Processing, Hong Kong, September 24-27, 1996 (Hong Kong, China, 24-27 Sept., 1996)
pp. 1146-1151.
Berlin ; New York : Springer.
Murshed, N.abel A., Bortolozzi, Flavio et Sabourin, Robert.
1997.
« Binary image compression using identity mapping backpropagation neural network ».
In Applications of artificial neural networks in image processing II (San Jose, CA, USA, Feb. 8-14, 1997)
Coll. « Proceedings of SPIE », vol. 3030.
pp. 29-35.
The International Society for Optical Engineering.
Murshed, Nabeel A., Bortolozzi, Flavio et Sabourin, Robert.
1996.
« A fuzzy ARTMAP-based classification system for detecting cancerous cells, based on the one-class problem approach ».
In Proceedings of the 13th International Conference on Pattern Recognition, 1996 (Vienna, Austria, Aug. 25-29, 1996)
pp. 478-482.
Institute of Electrical and Electronics Engineers Inc..
Murshed, Nabeel A., Bortolozzi, Flavio et Sabourin, Robert.
1996.
« Classification of cancerous cells based on the one-class problem approach ».
In Applications and Science of Artificial Neural Networks II (Orlando, FL, USA, April 9-12, 1996)
Coll. « Proceedings of the SPIE », vol. 2760.
pp. 487-494.
USA : SPIE-International Society for Optical Engineering.
Murshed, Nabeel A., Bortolozzi, Flavio et Sabourin, Robert.
1995.
« Off-line signature verification using fuzzy ARTMAP neural network ».
In IEEE International Conference on Neural Networks, 1995. Proceedings (Perth, WA, Australia, Nov. 27-Dec. 1, 1995)
pp. 2179-2184.
Murshed, Nabeel A., Bortolozzi, Flavio et Sabourin, Robert.
1995.
« Off-line signature verification without requiring random forgeries for training ».
In Image Analysis Applications and Computer Graphics : Third International Computer Science Conference, ICSC '95 Hong Kong, December 11–13, 1995 Proceedings (Hong Kong, China, Dec. 11-13, 1995)
Coll. « Lecture Notes in Computer Science », vol. 1024.
pp. 107-115.
Springer.
Murshed, Nabeel A., Bortolozzi, Flavio et Sabourin, Robert.
1995.
« Off-line signature verification, without a priori knowledge of class ω2. A new approach ».
In Proceedings of the Third International Conference on Document Analysis and Recognition, 1995 (Montreal, QC, Canada, Aug. 14-16, 1995)
pp. 191-196.
IEEE.
Murshed, Nabeel A., Sabourin, Robert et Bortolozzi, Flavio.
1997.
« A cognitive approach to off-line signature verification ».
International Journal of Pattern Recognition and Artificial Intelligence, vol. 11, nº 5.
pp. 801-825.
Murtaza, Shakeeb, Belharbi, Soufiane, Pedersoli, Marco, Sarraf, Aydin et Granger, Eric.
2023.
« DiPS: Discriminative pseudo-label sampling with self-supervised transformers for weakly supervised object localization ».
Image and Vision Computing, vol. 140.
Murtaza, Shakeeb, Belharbi, Soufiane, Pedersoli, Marco, Sarraf, Aydin et Granger, Eric.
2023.
« Discriminative sampling of proposals in self-supervised transformers for weakly supervised object localization ».
In IEEE/CVF Winter Conference on Applications of Computer Vision Workshops, WACVW (Waikoloa, HI, USA, Jan. 03-07, 2023)
pp. 155-165.
Institute of Electrical and Electronics Engineers Inc..
Murtaza, Shakeeb, Pedersoli, Marco, Sarraf, Aydin et Granger, Eric.
2024.
« Leveraging transformers for weakly supervised object localization in unconstrained videos ».
In Artificial Neural Networks in Pattern Recognition : 11th IAPR TC3 Workshop, ANNPR 2024, Proceedings (Montreal, QC, Canada, Oct. 10-12, 2024)
Coll. « Lecture notes in computer science », vol. 15154.
pp. 195-207.
Springer.
Murugesan, Balamurali, Adiga Vasudeva, Sukesh, Liu, Bingyuan, Lombaert, Herve, Ben Ayed, Ismail et Dolz, Jose.
2023.
« Trust your neighbours: Penalty-based constraints for model calibration ».
In Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 : 26th International Conference, Proceedings (Vancouver, BC, Canada, Oct. 08-12, 2023)
Coll. « Lecture Notes in Computer Science », vol. 14222.
pp. 572-581.
Springer Science and Business Media Deutschland GmbH.
Murugesan, Balamurali, Hussain, Rukhshanda, Bhattacharya, Rajarshi, Ben Ayed, Ismail et Dolz, Jose.
2024.
« Prompting classes: Exploring the power of prompt class learning in weakly supervised semantic segmentation ».
In IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (Waikoloa, HI, USA, Jan. 03-08, 2024)
pp. 290-301.
Institute of Electrical and Electronics Engineers Inc..
Murugesan, Balamurali, Liu, Bingyuan, Galdran, Adrian, Ayed, Ismail Ben et Dolz, Jose.
2023.
« Calibrating segmentation networks with margin-based label smoothing ».
Medical Image Analysis, vol. 87.
Murugesan, Balamurali, Silva-Rodriguez, Julio, Ben Ayed, Ismail et Dolz, Jose.
2024.
« Class and region-adaptive constraints for network calibration ».
In Medical Image Computing and Computer Assisted Intervention – MICCAI 2024 : 27th International Conference, Proceedings, Part VIII (Marrakesh, Morocco, Oct. 06-10, 2024)
Coll. « Lecture Notes in Computer Science », vol. 15008.
pp. 57-67.
Springer.
Murugesan, Balamurali, Silva-Rodríguez, Julio, ben Ayed, Ismail et Dolz, Jose.
2025.
« Robust calibration of large vision-language adapters ».
In Computer Vision – ECCV 2024 : 18th European Conference, 2024, Proceedings, Part XXI (Milan, Italy, Sept. 29-Oct. 04, 2024)
Coll. « Lecture notes in computer science », vol. 15082.
pp. 147-165.
Springer.
Naga Karthik, Enamundram M. V., Karimi, Elham, Lulich, Steven M. et Laporte, Catherine.
2020.
« Automatic tongue surface extraction from three-dimensional ultrasound vocal tract images ».
Journal of the Acoustical Society of America, vol. 147, nº 3.
pp. 1623-1633.
Naga Karthik, Enamundram M. V., Laporte, Catherine et Cheriet, Farida.
2021.
« Three-dimensional segmentation of the scoliotic spine from MRI using unsupervised volume-based MR-CT synthesis ».
In Medical Imaging : Image Processing : Progress in Biomedical Optics and Imaging (En ligne, Feb. 15-19, 2021)
Coll. « Proceedings of SPIE », vol. 11596.
SPIE.
Nait Amar, Menad, Shateri, Mohammadhadi, Hemmati-Sarapardeh, Abdolhossein et Alamatsaz, Alireza.
2019.
« Modeling oil-brine interfacial tension at high pressure and high salinity conditions ».
Journal of Petroleum Science and Engineering, vol. 183.
Nambakhsh, Cyrus M. S., Jing, Yuan, Punithakumar, Kumaradevan, Goela, Aashish, Rajchl, Martin, Peters, Terry M. et Ben Ayed, Ismail.
2013.
« Left ventricle segmentation in MRI via convex relaxed distribution matching ».
Medical Image Analysis, vol. 17, nº 8.
pp. 1010-1024.
Nambakhsh, Cyrus M. S., Peters, Terry M., Islam, Ali et Ben Ayed, Ismail.
2013.
« Right ventricle segmentation with probability product kernel constraints ».
In Medical Image Computing and Computer-Assisted Intervention – MICCAI 2013. 16th International Conference, Nagoya, Japan, September 22-26, 2013, Proceedings, Part III (Nagoya, Japan, Sept. 22-26, 2013)
Coll. « Lecture Notes in Computer Science », vol. 8149.
pp. 509-517.
Springer Verlag.
Nambakhsh, Mohammad Saleh, Yuan, Jing, Ben Ayed, Ismail, Punithakumar, Kumaradevan, Goela, Aashish, Islam, Ali, Peters, Terry et Li, Shuo.
2011.
« A convex max-flow segmentation of LV using subject-specific distributions on cardiac MRI ».
In Information Processing in Medical Imaging. 22nd International Conference, IPMI 2011, Kloster Irsee, Germany, July 3-8, 2011. Proceedings (Kloster Irsee, Germany, July 3-8, 2011)
Coll. « Lecture Notes in Computer Science », vol. 6801.
pp. 171-183.
Springer Verlag.
Nassif, N., Kajl, Stanislaw et Sabourin, Robert.
2005.
« ASHRAE standard's 62 multiple spaces equation for design and control ».
In Proceedings from 10th International Conference on Indoor Air Quality and Climate (Beijing, China, Sept. 4-9, 2005)
International Society of Indoor Air Quality and Climate.
Nassif, N., Kajl, Stanislaw et Sabourin, Robert.
2004.
« Evolutionary algorithms for multi-objective optimization in HVAC system control strategy ».
In IEEE Annual Meeting of the Fuzzy Information Processing Society (NAFIPS) (Banff, Canada, June 27-30, 2004)
pp. 51-56.
Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers.
Nassif, N., Kajl, Stanislaw et Sabourin, Robert.
2005.
« Optimal operation of VAV air-conditioning system ».
In Air Conditioning, Protection & District Heating 2005 : XI International Conference, Wroclaw - Szklarska, 23-26 June 2005 (Wroclaw, Poland, June 23-26, 2005)
pp. 435-440.
Wroclaw : Edition PZITS.
Nassif, N., Kajl, Stanislaw et Sabourin, Robert.
2004.
« Two-objective on-line optimization of supervisory control strategy ».
Building Services Engineering Research & Technology, vol. 25, nº 3.
pp. 241-251.
Nassif, Nabil, Kajl, Stanislaw et Sabourin, Robert.
2004.
« Modeling and validation of existing VAV system components ».
In Proceedings of eSim 2004 : the Canadian Conference on Building Energy Simulation, June 10 and 11, 2004, Vancouver = Les comptes rendus d'eSim 2004 : la Conference canadienne sur la simulation energetique dans les batiments, le juin 10 et 11, 2004 (Vancouver, BC, Canada, June 10-11, 2004)
pp. 135-141.
IBPSA-Canada.
Nassif, Nabil, Kajl, Stanislaw et Sabourin, Robert.
2005.
« Optimization of HVAC control system strategy using two-objective genetic algorithm ».
HVAC&R Research, vol. 11, nº 3.
pp. 459-486.
Nassif, Nabil, Kajl, Stanislaw et Sabourin, Robert.
2005.
« Simplified model-based optimal control of VAV air-conditioning system ».
In IBPSA 2005 - International Building Performance Simulation Association 2005 (Montreal, QC, Canada, Aug. 15-18, 2005)
pp. 823-830.
USA : International Building Performance Simulation Association.
Nassif, Nabil, Kajl, Stanislaw et Sabourin, Robert.
2003.
« Two-objective on-line optimization of supervisory control strategy ».
In 8th international IBPSA conference (Eindhoven, Netherlands, Aug. 11-14, 2003)
pp. 927-934.
International Building Performance Simulation Association.
Nassif, Nabil, Kajl, Stanislaw et Sabourin, Robert.
2005.
« Ventilation control strategy using supply CO2 concentration setpoint ».
HVAC&R Research, vol. 11, nº 2.
pp. 239-262.
Naugthon, Patrick et Noumeir, Rita.
1998.
« Programmation en Java, version 1.2 : concepts et applications ».
Montréal : Chenelière/McGraw-Hill. 343 p.
Nezamabadi, Kasra, Sardaripour, Neda, Haghi, Benyamin et Forouzanfar, Mohamad.
2023.
« Unsupervised ECG analysis: A review ».
IEEE Reviews in Biomedical Engineering, vol. 16.
pp. 208-224.
Ng, Bernard, Toews, Matthew, Durrleman, Stanley et Shi, Yonggang.
2014.
« Shape analysis for brain structures ».
In
Shape analysis in medical image analysis.
Coll. « Lecture Notes in Computational Vision and Biomechanics », 14.
pp. 3-49. Springer International Publishing.
Nguyen-Meidine, L. T., Belal, A., Kiran, M., Dolz, J., Blais-Morin, L. A. et Granger, E..
2021.
« Unsupervised multi-target domain adaptation through knowledge distillation ».
In IEEE Winter Conference on Applications of Computer Vision (WACV) (Waikoloa, HI, USA, Jan. 03-08, 2021)
pp. 1338-1346.
Los Alamitos, CA, USA : IEEE Computer Society.
Nguyen-Meidine, Le Thanh, Belal, Atif, Kiran, Madhu, Dolz, Jose, Blais-Morin, Louis-Antoine et Granger, Eric.
2021.
« Knowledge distillation methods for efficient unsupervised adaptation across multiple domains ».
Image and Vision Computing, vol. 108.
Nguyen-Meidine, Le Thanh, Granger, Eric, Kiran, Madhu, Pedersoli, Marco et Blais-Morin, Louis-Antoine.
2020.
« Progressive gradient pruning for classification, detection and domain adaptation ».
In 25th International Conference on Pattern Recognition (ICPR) (Milan, Italy - en ligne, Jan. 10-15, 2021)
pp. 2795-2802.
Institute of Electrical and Electronics Engineers Inc..
Nguyen-Meidine, Le Thanh, Kiran, Madhu, Pedersoli, Marco, Dolz, Jose, Blais-Morin, Louis-Antoine et Granger, Eric.
2022.
« Incremental multi-target domain adaptation for object detection with efficient domain transfer ».
Pattern Recognition, vol. 129.
Nicolas, Julien, Chiaroni, Florent, Ziko, Imtiaz, Ahmad, Ola, Desrosiers, Christian et Dolz, Jose.
2024.
« MoP-CLIP: A mixture of prompt-tuned CLIP models for domain incremental learning ».
In IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (Waikoloa, HI, USA, Jan. 03-08, 2024)
pp. 1751-1761.
Institute of Electrical and Electronics Engineers Inc..
Nikolakopoulos, Athanasios N., Ning, Xia, Desrosiers, Christian et Karypis, George.
2022.
« Trust your neighbors: A comprehensive survey of neighborhood-based methods for recommender systems ».
In
Recommender systems handbook.
Third edition.
pp. 39-89. Springer US. Ning, B., Laporte, C., Mustaphy, T. et Villemure, I.. 2021. « High intensity exercise during puberty restrains longitudinal growth of rat tibia ». Communication lors de la conférence : Annual Meeting of the Orthopaedic Research Society (En ligne, Feb. 12-16, 2021).
Ning, Bohao, Laporte, Catherine, Mustafy, Tanvir et Villemure, Isabelle.
2020.
« High impact loading applied during puberty intensifies bone (re)modelling in growing rats ».
[Résumé d'une communication à une conférence]. Osteoporosis International, vol. 31, nº Suppl. 1.
S290.
Ning, Bohao, Londono, Irène, Laporte, Catherine et Villemure, Isabelle.
2022.
« Validation of an in vivo micro-CT-based method to quantify longitudinal bone growth of pubertal rats ».
Bone, vol. 154.
Ning, Bohao, Londono, Irene, Laporte, Catherine et Villemure, Isabelle.
2024.
« Zoledronate reduces loading-induced microdamage in cortical ulna of ovariectomized rats ».
Journal of the Mechanical Behavior of Biomedical Materials, vol. 150.
Ning, Bohao, Mustafy, Tanvir, Londono, Irène, Laporte, Catherine et Villemure, Isabelle.
2023.
« Impact loading intensifies cortical bone (re)modeling and alters longitudinal bone growth of pubertal rats ».
Biomechanics and Modeling in Mechanobiology, vol. 22, nº 4.
pp. 1145-1162.
Noiray, Aude, Ries, Jan, Tiede, Mark, Rubertus, Elina, Laporte, Catherine et Ménard, Lucie.
2020.
« Recording and analyzing kinematic data in children and adults with SOLLAR: Sonographic & Optical Linguo-Labial Articulation Recording system ».
Laboratory Phonology, vol. 11, nº 1.
Nonnon, P., Cervera, D., Bigras, Pascal et Wong, Tony.
2006.
« Comprendre les systèmes hydrauliques et pneumatiques industriels ».
Res Academica, vol. 23, nº 2.
pp. 169-186.
Noori, Mehrdad, Cheraghalikhani, Milad, Bahri, Ali, Vargas Hakim, Gustavo A., Osowiechi, David, Ben Ayed, Ismail et Desrosiers, Christian.
2024.
« TFS-ViT: Token-level feature stylization for domain generalization ».
Pattern Recognition, vol. 149.
Noumeir, Rita.
2005.
« Benefits of DICOM modality performed procedure step ».
Journal of Digital Imaging, vol. 18, nº 4.
pp. 260-269.
Noumeir, Rita.
2003.
« Dicom structured report document type definition ».
IEEE Transactions on Information Technology in Biomedicine, vol. 7, nº 4.
pp. 318-328.
Noumeir, Rita.
2008.
« Integrating the healthcare enterprise process ».
International Journal of Healthcare Technology and Management, vol. 9, nº 2.
pp. 167-180.
Noumeir, Rita.
2006.
« Radiology interpretation process modeling ».
Journal of Biomedical Informatics, vol. 39, nº 2.
pp. 103-114. Noumeir, Rita. 1996. « Reconstruction du mouvement d'une ellipsoïde à partir de ses projections ». Communication lors de la conférence : Colloque multidisciplinaire L'intelligence artificielle dans les technologies de l'information tenu dans le cadre du Congrès de l'ACFAS (Montréal, QC, Canada, 13-17 mai 1996).
Noumeir, Rita.
1997.
« Reconstruction du mouvement d'une ellipsoïde à partir de ses projections ».
In Les techniques d'intelligence artificielle appliquées aux technologies de l'information (Montréal, QC, Canada, 15-16 mai 1997)
Coll. « Cahiers Scientifiques », vol. 90.
pp. 240-250.
Montréal : Association canadienne-française pour l'avancement des sciences.
Noumeir, Rita.
2004.
« Reporting workflow modeling ».
In Medical Imaging : PACS and Imaging Informatics (San Diego, CA, USA, Feb. 17-19, 2004)
Coll. « Proceedings of SPIE », vol. 5371.
pp. 8-15.
USA : SPIE.
Noumeir, Rita et Chafik, Adil.
2005.
« Access control and confidentiality in radiology ».
In Medical Imaging 2005: PACS and Imaging Informatics (San Diego, CA, USA, Feb. 15-17, 2005)
Coll. « Proceedings of SPIE », vol. 5748.
pp. 340-347.
USA : SPIE.
Noumeir, Rita, Lemay, Alain et Lina, Jean-Marc.
2005.
« Pseudonymisation of radiology data for research purposes ».
In Medical Imaging - PACS and Imaging Informatics (San Diego, CA, USA, Feb. 15-17, 2005)
Coll. « Proceedings of SPIE », vol. 5748.
pp. 298-305.
USA : SPIE.
Noumeir, Rita, Mailloux, Guy E. et Lemieux, Raymond.
1993.
« Accelerated iterative reconstruction based on the maximum a posteriori expectation maximization ».
In 1993 IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP-93) (Minneapolis, MN, USA, Apr. 27-30, 1993)
pp. 469-472.
IEEE.
Noumeir, Rita, Mailloux, Guy E. et Lemieux, Raymond.
1996.
« Use of an optical flow algorithm to quantify and correct patient motion during tomographic acquisition ».
In International Conference on Image Processing (ICIP) (Lausanne, Switzerland, Sept. 16-19, 1996)
pp. 559-562.
Los Alamitos, CA, USA : Institute of Electrical and Electronics Engineers Computer Society.
Nourbakhsh, Farshad et Granger, Eric.
2016.
« Learning of graph compressed dictionaries for sparse representation classification ».
In Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2016) (Rome, Italy, Feb. 24-26, 2016)
pp. 309-316.
SciTePress.
Nourbakhsh, Farshad, Granger, Eric et Fumera, Giorgio.
2017.
« An extended sparse classification framework for domain adaptation in video surveillance ».
In Computer Vision – ACCV 2016 Workshops : ACCV 2016 International Workshops, Taipei, Taiwan, November 20-24, 2016, Revised Selected Papers, Part III (Taipei, Taiwan, Nov. 20-24, 2016)
Coll. « Lecture Notes in Computer Science », vol. 10118.
pp. 360-376.
Springer Verlag.
Nunes, Carlos M., Britto, Alceu de S., Kaestner, Celso A. A. et Sabourin, Robert.
2004.
« Feature subset selection using an optimized hill climbing algorithm for handwritten character recognition ».
In Structural, Syntactic and Statistical Pattern Recognition Joint IAPR International Workshops, SSPR and SPR Proceedings (Lisbon, Portugal, Aug. 18-20, 2004)
Coll. « Lecture Notes in Computer Science », vol. 3138.
pp. 1018-1025.
Berlin, Germany : Springer-Verlag.
Nunes, Carlos M., De Britto Jr, Alceu S., Kaestner, Celso A. A. et Sabourin, Robert.
2004.
« An optimized hill climbing algorithm for feature subset selection : evaluation on handwritten character recognition ».
In Ninth International Workshop on Frontiers in Handwriting Recognition (IWFHR) (Tokyo, Japan, Oct. 26-29, 2004)
pp. 365-370.
Los Alamitos, CA, USA : Institute of Electrical and Electronics Engineers Computer Society.
Oliveira, D. V. R., Cavalcanti, G. D. C., Porpino, T. N., Cruz, R. M. O. et Sabourin, R..
2018.
« K-Nearest oracles borderline dynamic classifier ensemble selection ».
In 2018 International Joint Conference on Neural Networks (IJCNN 2018) (Rio de Janeiro, Brazil, July 08-13, 2018)
IEEE.
Oliveira, Dayvid V. R., Cavalcanti, George D. C. et Sabourin, Robert.
2017.
« Online pruning of base classifiers for Dynamic Ensemble Selection ».
Pattern Recognition, vol. 72.
pp. 44-58.
Oliveira, L. S., Benamed, N., Sabourin, R., Bortolozzi, F. et Suen, C. Y..
2001.
« Feature subset selection using genetic algorithms for handwritten digit recognition ».
In Proceedings of XIV Brazilian Symposium on Computer Graphics and Image Processing (Florianopolis, Brazil, Oct. 15-18, 2001)
p. 362.
IEEE.
Oliveira, L. S., Lethelier, E., Bortolozzi, F. et Sabourin, R..
2000.
« Segmentation de caractères manuscrits basée sur une approche structurelle ».
In CIFED'2000. Colloque International Francophone sur l'Ecrit et le Document (Lyon, France, 3-5 juil. 2000)
pp. 231-240.
Lausanne, Suisse : Presses polytechniques et universitaires romandes.
Oliveira, L. S., Sabourin, R., Bortolozzi, F. et Suen, C. Y..
2001.
« High-level verification of handwritten numeral strings ».
In Proceedings of XIV Brazilian Symposium on Computer Graphics and Image Processing (Florianopolis, Brazil, Oct. 15-18, 2001)
pp. 36-43.
IEEE.
Oliveira, L. S., Sabourin, Robert, Bortolozzi, Flavio et Suen, Ching Y..
2001.
« A modular system to recognize numerical amounts on Brazilian bank cheques ».
In Proceedings of Sixth International Conference on Document Analysis and Recognition (Seattle, WA, USA, Sept. 10-13, 2001)
pp. 389-394.
Los Aalmitos, CA, USA : IEEE Comput. Soc.
Oliveira, L., Britto, A. et Sabourin, Robert.
2005.
« A synthetic database to assess segmentation algorithms ».
In 8th International Conference on Document Analysis and Recognition (ICDAR) (Seoul, South Korea, Aug. 29-Sept. 1, 2005)
pp. 207-211.
Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers Computer Society.
Oliveira, L., Britto, A. et Sabourin, Robert.
2005.
« Improving cascading classifiers with particle swarm optimization ».
In 8th International Conference on Document Analysis and Recognition (ICDAR) (Seoul, South Korea, Aug. 29-Sept. 1, 2005)
pp. 570-574.
Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers Computer Society.
Oliveira, Luiz E. Soares de, Lethelier, Edouard, Bortolozzi, Flavio et Sabourin, Robert.
2000.
« A new segmentation approach for handwritten digits ».
In 15th International Conference on Pattern Recognition (ICPR'00) (Barcelona, Spain, Sept. 3-7, 2000)
pp. 323-326.
Piscataway, NJ, USA : IEEE.
Oliveira, Luiz E. Soares de, Lethelier, Edouard, Bortolozzi, Flavio et Sabourin, Robert.
2000.
« Handwritten digits segmentation based on structural approach ».
In XIII Brazilian Symposium on Computer Graphics and Image Processing: proceedings: October 17-20, 2000, Gramado (RS), Brazil (Gramado, Brazil, Oct. 17-20, 2000)
pp. 67-73.
Los Alamitos, CA, USA : IEEE.
Oliveira, Luiz S., Justino, Edson, Freitas, Cinthia et Sabourin, Robert.
2005.
« The graphology applied to signature verification ».
In 12th Conference of the International Graphonomics Society (IGS) (Salerno, Italy, June 26-29, 2005)
pp. 286-290.
USA : International Graphonomics Society.
Oliveira, Luiz S., Justino, Edson et Sabourin, Robert.
2007.
« Off-line signature verification using writer-independent approach ».
In International Joint Conference on Neural Networks (IJCNN) (Orlando, FL, USA, Aug. 12-17, 2007)
pp. 2538-2543.
Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers.
Oliveira, Luiz S., Morita, Marisa et Sabourin, Robert.
2006.
« Feature selection for ensembles applied to handwriting recognition ».
International Journal on Document Analysis and Recognition, vol. 8, nº 4.
pp. 262-279.
Oliveira, Luiz S., Morita, Marisa et Sabourin, Robert.
2006.
« Feature selection for ensembles using the multi-objective optimization approach ».
In
Multi-Objective Machine Learning.
Coll. « Studies in Computational Intelligence », vol. 16.
pp. 49-74. Berlin, Heidelberg : Springer Berlin Heidelberg.
Oliveira, Luiz S., Morita, Marisa, Sabourin, Robert et Bortolozzi, Flavio.
2005.
« Multi-objective genetic algorithms to create ensemble of classifiers ».
In Evolutionary Multi-Criterion Optimization : Third International Conference, EMO 2005, Guanajuato, Mexico, March 9-11, 2005, Proceedings (Guanajuato, Mexico, March 9-11, 2005)
Coll. « Lecture Notes in Computer Science », vol. 3410.
pp. 592-606.
Berlin, Germany : Springer-Verlag.
Oliveira, Luiz S. et Sabourin, Robert.
2004.
« Support vector machines for handwritten numerical string recognition ».
In Ninth International Workshop on Frontiers in Handwriting Recognition (IWFHR-9) (Tokyo, Japan, Oct. 26-29, 2004)
pp. 39-44.
Los Alamitos, CA, USA : Institute of electrical and Electronics Engineers Computer Society.
Oliveira, Luiz S., Sabourin, Robert, Bortolozzi, F. et Suen, Ching Y..
2003.
« Feature selection for ensembles : a hierarchical multi-objective genetic algorithm approach ».
In Seventh International Conference on Document Analysis and Recognition (Edinburgh, Scotland, Aug. 3-6, 2003)
pp. 676-680.
Los Alamitos, CA, USA : Institute of Electrical and Electronics Engineers Computer Society.
Oliveira, Luiz S., Sabourin, Robert, Bortolozzi, Flavio et Suen, Ching Y..
2003.
« A methodology for feature selection using multiobjective genetic algorithms for handwritten digit string recognition ».
International Journal of Pattern Recognition and Artificial Intelligence, vol. 17, nº 6.
pp. 903-929.
Oliveira, Luiz S., Sabourin, Robert, Bortolozzi, Flavio et Suen, Ching Y..
2002.
« Automatic recognition of handwritten numerical strings: a recognition and verification strategy ».
IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 24, nº 11.
pp. 1438-1454.
Oliveira, Luiz S., Sabourin, Robert, Bortolozzi, Flavio et Suen, Ching Y..
2002.
« Feature selection using multi-objective genetic algorithms for handwritten digit recognition ».
In 16th International Conference on Pattern Recognition (ICPR) (Quebec City, Canada, Aug. 11-15, 2002)
pp. 568-571.
Los Alamitos, CA, USA : Institute of Electrical and Electronics Engineers Computer Society.
Oliveira, Luiz S., Sabourin, Robert, Bortolozzi, Flavio et Suen, Ching Y..
2003.
« Impacts of verification on a numeral string recognition system ».
Pattern Recognition Letters, vol. 24, nº 7.
pp. 1023-1031.
Oliveira, Luiz, Britto, Alceu de Souza et Sabourin, Robert.
2005.
« Optimizing class-related thresholds with particle swarm optimization ».
In IEEE International Joint Conference on Neural Networks (IJCNN) (Montreal, Canada, Jul. 31-Aug. 4, 2005)
pp. 1511-1516.
Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers.
Olivier, David et Laporte, Catherine.
2021.
« SonoAssist: Open source acquisition software for ultrasound imaging studies ».
In The 44ndConference of TheCanadian Medical and Biological Engineering Society (En ligne, May 11-13, 2021)
Coll. « CMBES Proceedings », vol. 44.
Canadian Medical and Biological Engineering Society.
Olivier, David, McGuffin, Michael J. et Laporte, Catherine.
2023.
« Utilizing sonographer visual attention for probe movement guidance in cardiac point of care ultrasound ».
In International Symposium on Biomedical Imaging (Cartagena, Colombia, Apr. 18-21, 2023)
IEEE Computer Society.
Ortega, Juan D. S., Cardinal, Patrick et L. Koerich, Alessandro.
2019.
« Emotion recognition using fusion of audio and video features ».
In IEEE International Conference on Systems, Man and Cybernetics (SMC) (Bari, Italy, Oct. 06-09, 2019)
pp. 3847-3852.
Institute of Electrical and Electronics Engineers Inc..
Osowiechi, David, Vargas Hakim, Gustavo A., Noori, Mehrdad, Cheraghalikhani, Milad, Ayed, Ismail Ben et Desrosiers, Christian.
2023.
« TTTFlow: Unsupervised Test-Time Training with Normalizing Flow ».
In IEEE Winter Conference on Applications of Computer Vision, WACV (Waikoloa, HI, USA, Jan. 02-07, 2023)
pp. 2125-2133.
Institute of Electrical and Electronics Engineers Inc.. Osuna-Garcia, J.A., Salazar-Garcia, S., Gonzalez-Duran, I.J.L., Doyon, G., Landry, Jacques-André et Geonaga, R.. 2008. « Evaluacion de la fluorescencia de la clorofila como alternativa para determinar la madurez legal en aguacate ». Communication lors de la conférence : Primer Congreso Nacional del Sistema Producto Aguacate (First National Congress on Avocado Production) (Mexico City, Mexico, Dec. 3-5, 2008). Osuna-Garcia, J.A., Salazar-Garcia, S., Gonzalez-Duran, I.J.L., Doyon, G., Landry, Jacques-André et Goenaga, R.. 2008. « Resultados preliminares sobre la técnica de fluorescencia de clorofila para determinar la madurez de cosecha en mango ». Communication lors de la conférence : XLIV Reunion Nacional de Investigacion Pecuaria y III Reunion Nacional de Innovacion Agricola y Forestal (Mexico City, Mexico, Nov. 3-8, 2008).
Ouled Sghaier, Moslem, Hammami, Imen, Foucher, Samuel et Lepage, Richard.
2018.
« Flood extent mapping from time-series sar images based on texture analysis and data fusion ».
Remote Sensing, vol. 10, nº 2.
p. 237.
P.R., Cavalin, Robert, Sabourin et C.Y., Suen.
2012.
« LOGID : An adaptive framework combining local and global incremental learning for dynamic selection of ensembles of HMMs ».
[Article de conférence]. Pattern Recognition, vol. 45, nº 9.
pp. 3544-3556.
Pagano, C., Granger, E., Sabourin, R., Marcialis, G. L. et Roli, F..
2015.
« Adaptive classification for person re-identification driven by change detection ».
In ICPRAM 2015 - 4th International Conference on Pattern Recognition Applications and Methods, Proceedings (Lisbon, Portugal, Jan. 10-15, 2015)
pp. 45-55.
SciTePress.
Pagano, C., Granger, É., Sabourin, R., Rattani, A., Marcialis, G. L. et Roli, F..
2014.
« Efficient adaptive face recognition systems based on capture conditions ».
In 2014 IEEE Symposium on Computational Intelligence in Biometrics and Identity Management (CIBIM). Proceedings (Orlando, FL, U.S.A, Dec. 9-12, 2014)
pp. 60-67.
Piscataway, NJ, USA : IEEE.
Pagano, C., Granger, E., Sabourin, R., Tuveri, P., Marcialis, G. L. et Roli, F..
2015.
« Context-sensitive self-updating for adaptive face recognition ».
In
Adaptive Biometric Systems: Recent Advances and Challenges.
Coll. « Advances in Computer Vision and Pattern Recognition ».
pp. 9-34. Springer International Publishing.
Pagano, C., Granger, Éric, Sabourin, Robert, Marcialis, G. L. et Roli, F..
2014.
« Adaptive ensembles for face recognition in changing video surveillance environments ».
Information Sciences, vol. 286.
pp. 75-101.
Pagano, Christophe, Granger, Éric, Sabourin, Robert et Gorodnichy, Dmitry O..
2012.
« Detector ensembles for face recognition in video surveillance ».
In The 2012 International Joint Conference on Neural Networks (IJCNN) (Brisbane, Australia, June 10-15, 2012)
Piscataway, N.J. : Institute of Electrical and Electronics Engineers Inc..
Pagano, Christophe, Granger, Éric, Sabourin, Robert, Marcialis, Gian Luca et Roli, Fabio.
2014.
« Dynamic weighted fusion of adaptive classifier ensembles based on changing data streams ».
In Artificial Neural Networks in Pattern Recognition. 6th IAPR TC 3 International Workshop, ANNPR 2014. Proceedings (Montreal, QC, Canada, Oct. 6-8, 2014)
Coll. « Lecture Notes in Computer Science », vol. 8774.
pp. 105-116.
Cham, Switzerland : Springer International Publishing.
Paixao, Thiago M., Berriel, Rodrigo F., Boeres, Maria C. S., Koerich, Alessandro L., Badue, Claudine, De Souza, Alberto F. et Oliveira-Santos, Thiago.
2022.
« A human-in-the-loop recommendation-based framework for reconstruction of mechanically shredded documents ».
Pattern Recognition Letters, vol. 164.
Paixao, Thiago M., Berriel, Rodrigo F., Boeres, Maria C. S., Koerich, Alessandro L., Badue, Claudine, De Souza, Alberto F. et Oliveira-Santos, Thiago.
2020.
« Fast(er) reconstruction of shredded text documents via self-supervised deep asymmetric metric learning ».
In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (En ligne, June 13-19, 2020)
pp. 14331-14339.
IEEE Computer Society.
Paixão, Thiago M., Berriel, Rodrigo F., Boeres, Maria C. S., Koerich, Alessandro L., Badue, Claudine, De Souza, Alberto F. et Oliveira-Santos, Thiago.
2020.
« Self-supervised deep reconstruction of mixed strip-shredded text documents ».
Pattern Recognition, vol. 107.
Parchami, Mostafa, Bashbaghi, Saman et Granger, Eric.
2017.
« CNNs with cross-correlation matching for face recognition in video surveillance using a single training sample per person ».
In 14th IEEE International Conference on Advanced Video and Signal-Based Surveillance (AVSS) (Lecce, Italy, Aug. 29 - Sept. 01 2017)
Piscataway, NJ, USA : IEEE.
Parchami, Mostafa, Bashbaghi, Saman et Granger, Eric.
2017.
« Video-based face recognition using ensemble of haar-like deep convolutional neural networks ».
In 2017 International Joint Conference on Neural Networks (IJCNN) (Anchorage, AK, USA, May 14-19, 2017)
pp. 4625-4632.
Piscataway, NJ, USA : IEEE.
Parchami, Mostafa, Bashbaghi, Saman, Granger, Eric et Sayed, Saif.
2017.
« Using deep autoencoders to learn robust domain-invariant representations for still-to-video face recognition ».
In 14th IEEE International Conference on Advanced Video and Signal-Based Surveillance (AVSS) (Lecce, Italy, Aug. 29 - Sept. 01 2017)
IEEE. Parrott, L., Chion, C., Martins, C.C.A., Lamontagne, P., Turgeon, S., Landry, Jacques-André, Marceau, D., Micheau, R., Cantin, G., Menard, N. et Dione, S.. 2008. « Agent-based modelling of marine mammals and boat traffic in the Saint Lawrence Estuary ». Communication lors de la conférence : International Conference on Ecological Informatics 6 (ICEI) (Cancun, Mexico, Dec. 2-5, 2008).
Patel, Gaurav et Dolz, Jose.
2022.
« Weakly supervised segmentation with cross-modality equivariant constraints ».
Medical Image Analysis, vol. 77.
Paula Filho, P. L., Oliveira, Luis S., Britto, Alceu de Souza et Sabourin, Robert.
2010.
« Forest species recognition using color-based features ».
In 20th International Conference on Pattern Recognition (ICPR) (Istanbul, Turkey, Aug. 23-26, 2010)
pp. 4178-4181.
Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers Inc..
Pedersoli, Marco, Lucas, Thomas, Schmid, Cordelia et Verbeek, Jakob.
2017.
« Areas of attention for image captioning ».
In 2017 IEEE International Conference on Computer Vision (ICCV) (Venice, Italy, Oct. 22-29, 2017)
pp. 1251-1259.
IEEE. Pei, Yinqing, Côté, David, Sigue, Philippe Alain Ngani, Mahmoudialami, Ali, Tremblay, Christine et Desrosiers, Christian (inventeurs) 18 octobre 2022. « Identifying root causes of network service degradation ». Ciena Corporation (titulaire(s)). Brevet américain US 11,477,070.
Peng, Jizong, Desrosiers, Christian et Pedersoli, Marco.
2018.
« DC-SegNet: a discretely constrained deep network for weakly supervised segmentation ».
In 32nd Conference on Neural Information Processing Systems (NIPS 2018) - Medical Imaging Meets NIPS Workshop (MED-NEURIPS 2018) (Montreal, QC, Canada, Dec. 08, 2018)
Peng, Jizong, Estrada, Guillermo, Pedersoli, Marco et Desrosiers, Christian.
2020.
« Deep co-training for semi-supervised image segmentation ».
Pattern Recognition, vol. 107.
Peng, Jizong, Kervadec, Hoel, Dolz, Jose, Ben Ayed, Ismail, Pedersoli, Marco et Desrosiers, Christian.
2020.
« Discretely-constrained deep network for weakly supervised segmentation ».
Neural Networks, vol. 130.
pp. 297-308.
Peng, Jizong, Pedersoli, Marco et Desrosiers, Christian.
2020.
« Mutual information deep regularization for semi-supervised segmentation ».
In Proceedings of the Third Conference on Medical Imaging with Deep Learning (Montreal, QC, Canada, July 06-08, 2020)
Coll. « Proceedings of Machine Learning Research », vol. 121.
pp. 601-613.
PMLR.
Peng, Jizong, Wang, Ping, Desrosiers, Christian et Pedersoli, Marco.
2021.
« Self-paced contrastive learning for semi-supervised medical image segmentation with meta-labels ».
In Advances in Neural Information Processing Systems 34 (NeurIPS 2021) (En ligne, Dec. 06-14, 2021)
pp. 16686-16699.
Neural information processing systems foundation.
Peng, Jizong, Wang, Ping, Pedersoli, Marco et Desrosiers, Christian.
2024.
« Boundary-aware information maximization for self-supervised medical image segmentation ».
Medical Image Analysis, vol. 94.
Pepin, Étienne, Carluer, Jean-Baptiste, Chauvin, Laurent, Toews, Matthew et Harmouche, Rola.
2020.
« Large-Scale unbiased neuroimage indexing via 3D GPU-SIFT filtering and keypoint masking ».
In Machine Learning in Clinical Neuroimaging and Radiogenomics in Neuro-oncology. Third International Workshop, MLCN 2020, and Second International Workshop, RNO-AI 2020. Held in Conjunction with MICCAI 2020, 4-8 Oct. 2020 (Lima, Peru, Oct. 04-08, 2020)
Coll. « Lecture Notes in Computer Science », vol. 12449.
pp. 108-118.
Cham, Switzerland : Springer International Publishing.
Pereira, Marcelo T., Britto Jr., Alceu S., Oliveira, Luiz S. et Sabourin, Robert.
2018.
« Dynamic ensemble selection by k-nearest local oracles with discrimination index ».
In 2018 IEEE 30th International Conference on Tools with Artificial Intelligence (ICTAI) (Volos, Greece, Nov. 5-7, 2018)
pp. 765-771.
Los Alamitos, CA, USA : IEEE Computer Society.
Piccand, Sébastien, Noumeir, Rita et Paquette, Eric.
2005.
« Efficient visualization of volume data sets with region of interest and wavelets ».
In Medical Imaging 2005: Visualization, Image-Guided Procedures, and Display (San Diego, CA, USA, Feb. 13-15, 2005)
Coll. « Proceedings of SPIE », vol. 5744.
pp. 462-470.
USA : SPIE.
Piccand, Sébastien, Noumeir, Rita et Paquette, Eric.
2008.
« Region of interest and multiresolution for volume rendering ».
IEEE Transactions on Information Technology in Biomedicine, vol. 12, nº 5.
pp. 561-568.
Pichler, Georg, Dolz, Jose, Ben Ayed, Ismail et Piantanida, Pablo.
2020.
« On direct distribution matching for adapting segmentation networks ».
In Medical Imaging with Deep Learning, 6-8 July 2020, Montreal, QC, Canada (Montreal, QC, Canada, July 06-08, 2020)
Coll. « Proceedings of Machine Learning Research », vol. 121.
pp. 624-637.
PLMR.
Picot, Marine, Messina, Francisco, Boudiaf, Malik, Labeau, Fabrice, Ben Ayed, Ismail et Piantanida, Pablo.
2023.
« Adversarial robustness via Fisher-Rao Regularization ».
IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 45, nº 3.
pp. 2698-2710.
Pimenta, André, Justino, Edson José Rodrigues, Oliveira, Luis S. et Sabourin, Robert.
2009.
« Document reconstruction using dynamic programming ».
In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (Taipei, Taiwan, April 19-24, 2009)
pp. 1393-1396.
Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers Inc..
Plamondon, Réjean, Lorette, Guy et Sabourin, Robert.
1990.
« Automatic processing of signatures images : static techniques and methods ».
In
Computer Processing of Handwritting.
pp. 49-63. Singapore : World scientific publication.
Pontes, Jhony K., Britto, Alceu S., Fookes, Clinton et Koerich, Alessandro L..
2016.
« A flexible hierarchical approach for facial age estimation based on multiple features ».
Pattern Recognition, vol. 54.
pp. 34-51.
Pontes, Jhony K., Fookes, Clinton, Britto Jr, Alceu et L. Koerich, Alessandro.
2017.
« Two-stage facial age prediction using group-specific features ».
In 42nd IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (New Orleans, LA, USA, Mar. 05-09, 2017)
pp. 2577-2581.
IEEE.
Pramanik, Rishav, Villa-Vásquez, José-Fabian et Pedersoli, Marco.
2024.
« Masked multi-query slot attention for unsupervised object discovery ».
In International Joint Conference on Neural Networks (IJCNN) (Yokohama, Japan, June 30-July 05, 2024)
Institute of Electrical and Electronics Engineers Inc..
Praveen, Gnana R., Granger, Eric et Cardinal, Patrick.
2020.
« Deep weakly supervised domain adaptation for pain localization in videos ».
In 15th IEEE International Conference on Automatic Face and Gesture Recognition (FG) (Buenos Aires, Argentina, Nov. 16-20, 2020)
pp. 473-480.
IEE Computer Society.
Praveen, R. G., de Melo, W. C., Ullah, N., Aslam, H., Zeeshan, O., Denorme, T., Pedersoli, M., Koerich, A. L., Bacon, S., Cardinal, P. et Granger, E..
2022.
« A joint cross-attention model for audio-visual fusion in dimensional emotion recognition ».
In IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (New Orleans, LA, USA, June 19-20, 2022)
pp. 2485-2494.
Piscataway, NJ, USA : IEEE.
Praveen, R. Gnana, Cardinal, Patrick et Granger, Eric.
2023.
« Audio-visual fusion for emotion recognition in the valence-arousal space using joint cross-attention ».
IEEE Transactions on Biometrics, Behavior, and Identity Science, vol. 5, nº 3.
pp. 360-373.
Praveen, R. Gnana, Granger, Eric et Cardinal, Patrick.
2021.
« Cross attentional audio-visual fusion for dimensional emotion recognition ».
In 16th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2021) (Jodhpur, India, Dec. 15-18, 2021)
Institute of Electrical and Electronics Engineers Inc..
Praveen, R. Gnana, Granger, Eric et Cardinal, Patrick.
2023.
« Recursive joint attention for audio-visual fusion in regression based emotion recognition ».
In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (Rhodes Island, Greece, June 04-10, 2023)
Institute of Electrical and Electronics Engineers Inc..
Preiswerk, Frank, Toews, Matthew, Cheng, Cheng-Chieh, Chiou, Jr-yuan George, Mei, Chang-Sheng, Schaefer, Lena F., Hoge, W. Scott, Schwartz, Benjamin M., Panych, Lawrence P. et Madore, Bruno.
2017.
« Hybrid MRI-Ultrasound acquisitions, and scannerless real-time imaging ».
Magnetic Resonance in Medicine, vol. 78, nº 3.
pp. 897-908.
Prieto, F., Redarce, H. T., Lepage, R. et Boulanger, P..
1999.
« A non contact CAD based inspection system ».
In QCAV 99: Conférence Internationale sur le Contrôle Qualité par Vision Artifielle 1999: Trois-Rivières, Québec, Canada 18-21 mai 1999 (Trois-Rivières, QC, Canada, 18-21 mai 1999)
pp. 133-138.
Mississauga, ON, Canada : Canadian Information Processing Society.
Prieto, F., Redarce, H. T., Lepage, R. et Boulanger, P..
1999.
« Range image accuracy improvement by acquisition planning ».
In Vision Interface '99, Trois-Rivières, Canada, 19-21 May (Trois-Rivières, QC, Canada, May 19-21, 1999)
pp. 156-163.
Prieto, F., Redarce, H. T., Lepage, R. et Boulanger, P..
1998.
« Visual system for fast and automated inspection of 3D parts ».
In Actes des 7èmes Assises Européennes du Prototypage Rapide (Paris, France, 19-20 nov. 1998)
pp. 273-285.
Prieto, F., Redarce, T., Boulanger, P. et Lepage, R..
2000.
« Accuracy improvement of contactless 3D sensor for dimensional inspection ».
In Actes des 8èmes Assises Européennes de Prototypage Rapide (Paris, France, 3-4 mai 2000)
pp. 226-239.
Prieto, F., Redarce, T., Boulanger, P. et Lepage, R..
1999.
« CAD-based range sensor placement for optimum 3D data acquisition ».
In Second International Conference on 3-D digital imaging and modeling , 1999 : proceedings (Ottawa, ON, Canada, Oct. 4-8, 1999)
pp. 128-137.
Los Alamitos, CA, USA : IEEE.
Prieto, Flavio, Grégoire, Normand, Redarce, Tanneguy, Lepage, Richard, Jutard, Alain et Doré, Sylvie.
1999.
« Contrôle automatique sans contact de pièces manufacturées ».
In L'intégration des ressources humaines et des technologies: le défi : 3e Congrès International de Génie Industriel; Montréal, Québec, Mai 1999; actes = Integration of human resources and technologies: the challenge (Montréal, QC, Canada, 28-30 mai 1999)
pp. 683-692.
Montréal : Presses Internationales Polytechnique.
Prieto, Flavio, Lepage, Richard, Boulanger, Pierre et Redarce, Tanneguy.
2003.
« A CAD-based 3D data acquisition strategy for inspection ».
Machine Vision and Applications, vol. 15, nº 2.
pp. 76-91.
Prieto, Flavio, Lepage, Richard, Boulanger, Pierre et Redarce, Tanneguy.
2000.
« Inspection of 3D parts using high accuracy range data ».
In Machine vision applications in industrial inspection VIII : 24-26 January 2000, San Jose, California (San Jose, CA, USA, Jan. 24-26, 2000)
Coll. « Proceedings of SPIE », vol. 3966.
pp. 82-93.
Bellingham, WA, USA : SPIE.
Prieto, Flavio, Redarce, Tanneguy, Lepage, Richard et Boulanger, Pierre.
1998.
« Visual system for fast and automated inspection of 3D parts ».
Revue internationale de CFAO et d'informatique graphique, vol. 13, nº 4-5-6.
pp. 211-227.
Prieur, Donavan, Granger, Éric, Savaria, Yvon et Thibeault, Claude.
2016.
« Efficient identification of faces in video streams using low-power multi-core devices ».
In
Handbook of Pattern Recognition and Computer Vision.
5th ed.
pp. 427-454. World Scientific.
Punithakumar, Kumaradevan, Ben Ayed, Ismail, Afshin, Mariam, Goela, Aashish, Islam, Ali, Li, Shuo, Boulanger, Pierre, Becher, Harald et Noga, Michelle.
2016.
« Detecting left ventricular impaired relaxation in cardiac MRI using moving mesh correspondences ».
Computer Methods and Programs in Biomedicine, vol. 124.
pp. 58-66.
Punithakumar, Kumaradevan, Ben Ayed, Ismail, Islam, Ali, Goela, Aashish et Li, Shuo.
2012.
« Regional heart motion abnormality detection via multiview fusion ».
In Medical Image Computing and Computer-Assisted Intervention – MICCAI 2012. 15th International Conference, Nice, France, October 1-5, 2012, Proceedings, Part II (Nice, France, Oct. 1-5, 2012)
Coll. « Lecture Notes in Computer Science », vol. 7511.
pp. 527-534.
Springer Verlag.
Punithakumar, Kumaradevan, Ben Ayed, Ismail, Islam, Ali, Goela, Aashish, Ross, Ian G., Chong, Jaron et Li, Shuo.
2013.
« Regional heart motion abnormality detection: An information theoretic approach ».
Medical Image Analysis, vol. 17, nº 3.
pp. 311-324.
Punithakumar, Kumaradevan, Ben Ayed, Ismail, Islam, Ali, Ross, Ian G. et Li, Shuo.
2010.
« Regional heart motion abnormality detection via information measures and unscented Kalman filtering ».
In Medical Image Computing and Computer-Assisted Intervention – MICCAI 2010. 13th International Conference, Beijing, China, September 20-24, 2010, Proceedings, Part I (Beijing, China, Sept. 20-24, 2010)
Coll. « Lecture Notes in Computer Science », vol. 6361.
pp. 409-417.
Springer Verlag.
Punithakumar, Kumaradevan, Ben Ayed, Ismail, Islam, Ali, Ross, Ian G. et Li, Shuo.
2010.
« Tracking endocardial motion via multiple model filtering ».
IEEE Transactions on Biomedical Engineering, vol. 57, nº 8.
pp. 2001-2010.
Punithakumar, Kumaradevan, Ben Ayed, Ismail, Ross, Ian G., Islam, Ali, Chong, Jaron et Li, Shuo.
2010.
« Detection of left ventricular motion abnormality via information measures and Bayesian filtering ».
IEEE Transactions on Information Technology in Biomedicine, vol. 14, nº 4.
pp. 1106-1113.
Punithakumar, Kumaradevan, Ben Ayed, Ismail, Soliman, Abraam S., Goela, Aashish, Islam, Ali, Li, Shuo et Noga, Michelle.
2020.
« 3D motion estimation of left ventricular dynamics using MRI and track-to-track fusion ».
IEEE Journal of Translational Engineering in Health and Medicine, vol. 8.
Punithakumar, Kumaradevan, Yuan, Jing, Ben Ayed, Ismail, Li, Shuo et Boykov, Yuri.
2012.
« A convex max-flow approach to distribution-based figure-ground separation ».
SIAM Journal on Imaging Sciences, vol. 5, nº 4.
pp. 1333-1354.
Rabil, Bassem S., Sabourin, Robert et Granger, Éric.
2011.
« Impact of watermarking on offline signature verification in intelligent bio-watermarking systems ».
In IEEE Workshop on Computational Intelligence in Biometrics and Identity Management (CIBIM) (Paris, France, Apr. 11-15, 2011)
pp. 13-20.
Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers.
Rabil, Bassem S., Sabourin, Robert et Granger, Éric.
2010.
« Intelligent watermarking with multi-objective population based incremental learning ».
In 6th International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP) (Darmstadt, Germany, Oct. 15-17, 2010)
pp. 131-134.
Los Alamitos, CA : Institute of Electrical and Electronics Engineers Computer Society.
Rabil, Bassem S., Sabourin, Robert et Granger, Éric.
2014.
« Rapid blockwise multi-resolution clustering of facial images for intelligent watermarking ».
Machine Vision and Applications, vol. 25, nº 2.
pp. 277-300.
Rabil, Bassem S., Sabourin, Robert et Granger, Eric.
2013.
« Securing mass biometric templates using blockwise multi-resolution clustering watermarking ».
In Machine Learning and Data Mining in Pattern Recognition : 1st WIPRA Workshop on Intelligent Pattern Recognition and Analysis : Poster and WIPRA Workshop Proceedings (New York, NY, USA, July 19-25, 2013)
pp. 89-98.
Ibai Publishing.
Rabil, Bassem S., Sabourin, Robert et Granger, Éric.
2011.
« Watermarking stack of grayscale face images as dynamic multi-objective optimization problem ».
In International Conference on Mass Data Analysis of Images and Signals in Medicine, Biotechnology, Chemistry and Food Industry (New York, NY, USA, Aug. 30-Sept. 3, 2011)
pp. 63-77.
Germany : IbaI Publishing.
Rabil, Bassem S., Tliba, Safa, Granger, Éric et Sabourin, Robert.
2013.
« Securing high resolution grayscale facial captures using a blockwise coevolutionary GA ».
Expert Systems with Applications, vol. 40, nº 17.
pp. 6693-6706.
Radtke, P., Sabourin, R. et Wong, T..
2011.
« Impact of classifier prototyping on classification systems optimization ».
In VIIth Workshop on Computer Vision (Curitiba, Brazil, May 22-25, 2011)
pp. 312-317.
Radtke, P., Wong, Tony et Sabourin, Robert.
2005.
« A multi-objective memetic algorithm for intelligent feature extraction ».
In Evolutionary Multi-Criterion Optimization Third International Conference, EMO 2005, Guanajuato, Mexico, March 9-11, 2005. Proceedings (Guanajuato, Mexico, March 9-11, 2005)
Coll. « Lecture Notes in Computer Science », vol. 3410.
pp. 767-781.
Berlin, Germany : Springer-Verlag.
Radtke, P.V., Sabourin, Robert et Wong, Tony.
2007.
« Annealing based approach to optimize classification system ».
In International Joint Conference on Neural Networks (IJCNN) (Orlando, FL, USA, Aug. 12-17, 2007)
pp. 2616-2620.
Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers.
Radtke, P.V.M., Sabourin, Robert et Wong, Tony.
2005.
« Intelligent feature extraction for ensemble of classifiers ».
In 8th International Conference on Document Analysis and Recognition (ICDAR) (Seoul, South Korea, Aug. 29-Sept. 1, 2005)
pp. 866-870.
Los Alamitos, CA, USA : Institute of Electrical and Electronics Engineers Computer Society.
Radtke, P.V.W., Wong, Tony et Sabourin, Robert.
2006.
« An evaluation of over-fit control strategies for multi-objective evolutionary optimization ».
In International Joint Conference on Neural Networks (IJCNN) (Vancouver, Canada, Jul. 16-21, 2006)
pp. 3327-3334.
Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers.
Radtke, Paulo V. W., Granger, Éric, Sabourin, Robert et Gorodnichy, Dmitry.
2012.
« Adaptive selection of ensembles for imbalanced class distributions ».
In 21st International Conference on Pattern Recognition (ICPR) (Tsukuba, Japan, Nov. 11-15, 2012)
pp. 2980-2984.
Piscataway, NJ : Institute of Electrical and Electronics Engineers Inc..
Radtke, Paulo V. W., Granger, Éric, Sabourin, Robert et Gorodnichy, Dmitry O..
2014.
« Skew-sensitive boolean combination for adaptive ensembles - An application to face recognition in video surveillance ».
Information Fusion, vol. 20, nº 1.
pp. 31-48.
Radtke, Paulo V. W., Sabourin, Robert et Wong, Tony.
2007.
« A quantitative comparison between MOGAs and the RRT algorithm on classification systems optimization ».
In Brazilian Meeting on Artificial Intelligence (ENIA : Encontro Nacional de Inteligência Artificial) (Rio de Janeiro, Brazil, July 3-6, 2007)
pp. 1460-1468.
Radtke, Paulo V. W., Sabourin, Robert et Wong, Tony.
2006.
« Classification system optimization with multi-objective genetic algorithms ».
In 10th International Workshop on Frontiers in Handwriting Recognition (IWFHR) (La Baule, France, Oct. 23-26, 2006)
pp. 331-336.
Radtke, Paulo V. W., Sabourin, Robert et Wong, Tony.
2008.
« Using the RRT algorithm to optimize classification systems for handwritten digits and letters ».
In 23rd Annual ACM Symposium on Applied Computing (SAC) (Fortaleza, Ceara, Brazil, March 16-20, 2008)
pp. 1748-1752.
New York, NY, USA : Association for Computing Machinery.
Radtke, Paulo V. W., Wong, Tony et Sabourin, Robert.
2009.
« Solution over-fit control in evolutionary multiobjective optimization of pattern classification systems ».
International Journal of Pattern Recognition and Artificial Intelligence, vol. 23, nº 6.
pp. 1107-1127.
Radtke, Paulo, Sabourin, Robert et Gorodnichy, Dmitry.
2013.
« Adaptive ensemble selection for face re-identification under class imbalance ».
In Multiple Classifier Systems : 11th International Workshop, MCS 2013, Nanjing, China, May 15-17, 2013. Proceedings (Nanjing, China, May 15-17, 2013)
pp. 95-108.
Springer-Verlag.
Rajalingham, Rishi, Toews, Matthew, Collins, D. Louis et Arbel, Tal.
2011.
« Exploring cortical folding pattern variability using local image features ».
In Medical computer vision. Recognition techniques and applications in medical imaging : International MICCAI Workshop, MCV 2010, Beijing, China, September 20, 2010, Revised Selected Papers (Beijing, China, Sept. 20, 2010)
Coll. « Lecture Notes in Computer Science », vol. 6533.
pp. 43-53.
Springer Berlin Heidelberg.
Rajasekhar, Gnana Praveen, Granger, Eric et Cardinal, Patrick.
2021.
« Deep domain adaptation with ordinal regression for pain assessment using weakly-labeled videos ».
Image and Vision Computing, vol. 110.
Ran, He, Gopinath, Karthik, Desrosiers, Christian et Lombaert, Herve.
2020.
« Spectral graph transformer networks for brain surface parcellation ».
In IEEE 17th International Symposium on Biomedical Imaging (ISBI) (Iowa City, IA, USA, Apr. 03-07, 2020)
pp. 372-376.
Piscataway, NJ, USA : IEEE.
Rattani, Ajita, Marcialis, Gian Luca, Granger, Éric et Roli, Fabio.
2012.
« A dual-staged classification-selection approach for automated update of biometric templates ».
In 21st International Conference on Pattern Recognition (ICPR) (Tsukuba, Japan, Nov. 11-15, 2012)
pp. 2972-2975.
Piscataway, NJ : Institute of Electrical and Electronics Engineers Inc..
Remaki, Lakhdar et Cheriet, Mohamed.
1999.
« Building new kernel family with compact support, in scale-space ».
In Vision Interface Conference (Trois-Rivières, Canada, May 19-21, 1999)
pp. 445-452.
Toronto, Canada : Canadian Image Processing and Pattern Recognition Society.
Remaki, Lakhdar et Cheriet, Mohamed.
2003.
« Enhanced and restored signals as a generalized solution for shock filter models. Part I - existence and uniqueness result of the Cauchy problem ».
Journal of Mathematical Analysis and Applications, vol. 279, nº 1.
pp. 189-209.
Remaki, Lakhdar et Cheriet, Mohamed.
2000.
« KCS - new kernel family with compact support in scale space : formulation and impact ».
IEEE Transactions on Image Processing, vol. 9, nº 6.
pp. 970-981.
Remaki, Lakhdar et Cheriet, Mohamed.
2003.
« Numerical schemes of shock filter models for image enhancement and restoration ».
Journal of Mathematical Imaging and Vision, vol. 18, nº 2.
pp. 129-143.
Remaki, Lakhdar et Cheriet, Mohamed.
1999.
« Visual data extraction from bi-level document images using a generalized kernel family with compact support, in scale-space ».
In Fifth International Conference on Document Analysis and Recognition (Bangalore, India, Sept. 20-22, 1999)
pp. 609-612.
Los Alamitos, CA, USA : Institute of Electrical and Electronics Engineers Computer Society.
Reza Motamedi, M., Otis, Martin et Duchaine, Vincent.
2017.
« The Impact of Simultaneously Applying Normal Stress and Vibrotactile Stimulation for Feedback of Exteroceptive Information ».
Journal of Biomechanical Engineering, vol. 139, nº 6.
Rezaei, Mohammad Ali, Abdolmaleki, Parviz, Karami, Zahra, Asadabadi, Ebrahim Barzegari, Sherafat, Mohammad Amin, Abrishami-Moghaddam, Hamid, Fadaie, Marziyeh et Forouzanfar, Mohammad.
2008.
« Prediction of membrane protein types by means of wavelet analysis and cascaded neural networks ».
Journal of Theoretical Biology, vol. 254, nº 4.
pp. 817-820.
Riazi, Mohsen, Mehrjoo, Hossein, Nakhaei, Reza, Jalalifar, Hossein, Shateri, MohammadHadi, Riazi, Masoud, Ostadhassan, Mehdi et Hemmati-Sarapardeh, Abdolhossein.
2022.
« Modelling rate of penetration in drilling operations using RBF, MLP, LSSVM, and DT models ».
Scientific Reports, vol. 12, nº 1.
Ribas, F. C., Oliveira, L. S., Britto, A. S. et Sabourin, Robert.
2013.
« Handwritten digit segmentation: a comparative study ».
International Journal on Document Analysis and Recognition, vol. 16, nº 2.
pp. 127-137.
Ribas, Felipe, Oliveira, Luiz S., Britto Jr, Alceu S. et Sabourin, Robert.
2012.
« Assessing handwitten digit segmentation algorithms ».
In SAC 2012 Proceedings of the 27th Annual ACM Symposium on Applied Computing (Trento, Italy, Mar. 26-30, 2012)
pp. 772-776.
Association for Computing Machinery.
Riggi, Frank, Toews, Matthew et Arbel, Tal.
2006.
« Fundamental matrix estimation via TIP - Transfer of Invariant Parameters ».
In 18th International Conference on Pattern Recognition, 2006. ICPR 2006 (Hong Kong, China, Aug. 20-24, 2006)
pp. 21-24.
Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers Inc..
Rispal, Samuel, Rana, Axay K. et Duchaine, Vincent.
2017.
« Texture roughness estimation using dynamic tactile sensing ».
In 3rd International Conference on Control, Automation and Robotics (ICCAR) (Nagoya, Japan, April 22-24, 2017)
pp. 555-562.
Piscataway, NJ, USA : IEEE.
Rispal, Samuel, Rana, Axay et Duchaine, Vincent.
2017.
« Textures recognition through tactile exploration for robotic applications ».
In 3rd International Conference on Control, Automation and Robotics (ICCAR) (Nagoya, Japan, April 22-24, 2017)
pp. 121-128.
IEEE.
Rivard, Dominique, Granger, Éric et Sabourin, Robert.
2006.
« Feature selection techniques for classification of satellite images with fuzzy ARTMAP neural networks ».
In Intelligent Engineering Systems through Artificial Neural Networks (Saint-Louis, MO, USA, Nov. 5-8, 2006)
pp. 479-486.
ASME.
Rivard, Dominique, Granger, Éric et Sabourin, Robert.
2013.
« Multi-feature extraction and selection in writer-independent off-line signature verification ».
International Journal on Document Analysis and Recognition, vol. 16, nº 1.
pp. 83-103.
Rivest-Hénault, David et Cheriet, Mohamed.
2007.
« Image segmentation using level set and local linear approximations ».
In Image Analysis and Recognition : 4th International Conference, ICIAR 2007, Montreal, Canada, August 22-24, 2007. Proceedings (Montreal, Canada, Aug. 22-24, 2007)
Coll. « Lecture Notes in Computer Science », vol. 4633.
pp. 234-245.
Berlin, Germany : Springer-Verlag.
Roberge, Etienne et Duchaine, Vincent.
2017.
« Detecting insertion tasks using convolutional neural networks during robot teaching-by-demonstration ».
In IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) (Vancouver, BC, Canada, Setp. 24-28, 2017)
pp. 3210-3216.
Piscataway, NJ, USA : IEEE. Roberge, Jean-Philippe, L'Écuyer-Lapierre, Louis, Kwiatkowski, Jennifer, Nadeau, Philippe et Duchaine, Vincent. 2021. « Tactile-based object recognition using a grasp-centric exploration ». Communication lors de la conférence : IEEE 17th International Conference on Automation Science and Engineering (CASE) (Lyon, France, Aug. 23-27, 2021).
Roberge, Jean-Philippe, Ruotolo, Wilson, Duchaine, Vincent et Cutkosky, Mark.
2018.
« Improving industrial grippers with adhesion-controlled friction ».
IEEE Robotics and Automation Letters, vol. 3, nº 2.
pp. 1041-1048.
Rodrigues, Walber M., Walmsley, Felipe N., Cavalcanti, George D. C. et Cruz, Rafael M. O..
2023.
« Security relevant methods of Android's API classification: A machine learning empirical evaluation ».
IEEE Transactions on Computers, vol. 72, nº 11.
pp. 3273-3285.
Rodriguez, Juan A., Vazquez, David, Laradji, Issam, Pedersoli, Marco et Rodriguez, Pau.
2023.
« OCR-VQGAN: Taming text-within-image generation ».
In IEEE Winter Conference on Applications of Computer Vision, WACV (Waikoloa, HI, USA, Jan. 02-07, 2023)
pp. 3678-3687.
Institute of Electrical and Electronics Engineers Inc..
Rony, Jerome, Granger, Eric, Pedersoli, Marco et Ben Ayed, Ismail.
2021.
« Augmented Lagrangian Adversarial Attacks ».
In 18th IEEE/CVF International Conference on Computer Vision (ICCV) (Montreal, QC, Canada - en ligne, Oct. 10-17, 2021)
pp. 7718-7727.
Institute of Electrical and Electronics Engineers Inc..
Rony, Jérôme, Gustavo, Luiz, Sabourin, Robert et Granger, Eric.
2018.
« Decoupling direction and norm for efficient gradient-based l2 adversarial attacks ».
In NeurIPS 2018 Workshop on Security in Machine Learning (Montreal, QC, Canada, Dec. 7, 2018)
Rony, Jérôme, Hafemann, Luiz G., Oliveira, Luiz S., Ben Ayed, Ismail, Sabourin, Robert et Granger, Eric.
2019.
« Decoupling direction and norm for efficient gradient-based L2 adversarial attacks and defenses ».
In 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (Long Beach, CA, USA, June 15-20, 2019)
pp. 4317-4325.
IEEE.
Rony, Jérôme, Pesquet, Jean-Christophe et Ben Ayed, Ismail.
2023.
« Proximal splitting adversarial attack for semantic segmentation ».
In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (Vancouver, BC, Canada, June 17-24, 2023)
pp. 20524-20533.
Institute of electrical and Electonics Engineers Inc..
Roshanfar, Melika, Ghiami Azad, Amir Reza et Forouzanfar, Mohamad.
2024.
« Predicting fatigue life of shear connectors in steel-concrete composite bridges using artificial intelligence techniques ».
Fatigue and Fracture of Engineering Materials and Structures, vol. 47, nº 3.
pp. 818-832.
Roshtkhari, Mehraveh Javan, Toews, Matthew et Pedersoli, Marco.
2023.
« Balanced mixture of supernets for learning the CNN pooling architecture ».
In 2nd International Conferenceon Automated Machine Learning, AutoML (Berlin, Germany, Sept. 12-15, 2023)
Coll. « Proceedings of Machine Learning Research », vol. 224.
ML Research Press.
Ross, Y., de Guise, J. A., Bleau, A., Dansereau, J. et Sabourin, R..
1994.
« Computer assisted detection of scoliotic vertebral pedicles using morphological segmentation ».
In 2nd International Symposium on three-dimensional scoliotic deformities, combined with 8th International Symposium on surface topography and spinal deformity:26-29 September 1994, Pescara, Italy (Pescara, Italy, Sept. 26-29, 1994)
Ross, Y., de Guise, Jacques A., Potvin, J., Bleau, A., Sabourin, Robert, Dansereau, Jean et Labelle, Hubert.
1995.
« Digital radiography segmentation of scoliotic vertebral pedicles using morphological segmentation ».
In
Three Dimensional Analysis of Spinal Deformities.
Coll. « Studies in Health Technology and Informatics », vol. 15.
pp. 63-68. Amsterdam, Netherlands : IOS Press.
Ross, Y., Potvin, J., Bleau, A., Sabourin, R. et de Guise, J. A..
1994.
« Digital radiography detection of scoliotic vertebral pedicles using morphological segmentation ».
In Proceedings of the Society Internationale de Recherche en Orthopedie et Traumatologie (SIROT) (Boston, MA, USA, Oct. 27-30, 1994)
p. 53.
Roudini, Bijan, Khajehpiri, Boshra, Moghaddam, Hamid Abrishami et Forouzanfar, Mohamad.
2024.
« Machine learning predicts long-term mortality after acute myocardial infarction using systolic time intervals and routinely collected clinical data ».
Intelligent Medicine.
Roy, Anandarup, Cruz, Rafael M. O., Sabourin, Robert et Cavalcanti, George D. C..
2018.
« A study on combining dynamic selection and data preprocessing for imbalance learning ».
Neurocomputing, vol. 286.
pp. 179-192.
Roy, Anandarup, Cruz, Rafael M. O., Sabourin, Robert et Cavalcanti, George D. C..
2016.
« Meta-learning recommendation of default size of classifier pool for META-DES ».
Neurocomputing, vol. 216.
pp. 351-362.
Roy, Anandarup, Cruz, Rafael M. O., Sabourin, Robert et Cavalcanti, George D. C..
2016.
« Meta-regression based pool size prediction scheme for dynamic selection of classifiers ».
In 23rd International Conference on Pattern Recognition (ICPR) (Cancún, México, Dec. 04-08, 2016)
pp. 216-221.
Piscataway, NJ, USA : IEEE.
Saadati, Mirmohammad, Pedersoli, Marco, Cardinal, Patrick et Oliver, Peter.
2021.
« RADARSAT-2 Synthetic-Aperture radar land cover segmentation using deep convolutional neural networks ».
In Pattern Recognition. ICPR International Workshops and Challenges, Virtual Event, January 10-15, 2021, Proceedings Part VIII (Milan, Italy, Jan. 10-15, 2021)
Coll. « Lecture Notes in Computer Science », vol. 12668.
pp. 106-117.
Springer.
Sabourin, R. et Genest, G..
1994.
« Coopération de classificateurs pour la vérification automatique des signatures ».
In CNED 94 : 3ème Colloque national sur l'écrit et le document, Rouen, 6-7-8 juillet 1994 (Rouen, France, 6-8 juillet, 1994)
Mont-Saint-Aignan, France : IUT de Rouen.
Sabourin, R. et Genest, G..
1995.
« Définition et évaluation d'une famille de représentations pour la vérification hors-ligne des signatures ».
Traitement du Signal, vol. 12, nº 6.
pp. 585-596. Sabourin, R. et Plamondon, R.. 1986. « La vérification par ordinateur des signatures manuscrites ». Communication lors de la conférence : ACFAS'86 (Montréal, QC, Canada, 16-20 mai 1986).
Sabourin, R. et Plamondon, R..
1991.
« Observability and similarity in spatial relations in the structural interpretation of handwritten signature images ».
In Seventh Scandinavian conference on images analysis (Aalborg, Denmark, Aug. 12-17, 1991)
pp. 477-485.
Sabourin, R. et Plamondon, R..
1987.
« On the implementation of some graphometric techniques for interactive signature verification : a feasability study ».
In Comptes rendus du troisième symposium international sur l'écriture manuscrite et ses applications informatiques, Montréal, Canada, 20-23 juillet 1987 = Proceedings of the third International Symposium on Handwriting and Computer Applications (Montréal, QC, Canada, July 20-23,1987)
pp. 160-162.
Montréal : École polytechnique de Montréal.
Sabourin, R. et Plamondon, R..
1990.
« Progress in the field of automatic handwritten signature verifications systems using gray level image ».
In Frontiers in handwriting recognition (Montreal, QC, Canada, Apr. 2-3, 1990)
pp. 1-12.
Montreal : Centre for Pattern Recognition & Machine Intelligence, Concordia University.
Sabourin, R., Plamondon, R. et Lorette, G..
1990.
« Off-Line identification with handwritten signature images : survey and perspectives ».
In Syntactic & structural pattern recognition : pre-proceedings SSPR'90 ; International Association for Pattern Recognition Workshop ... Murray Hill, New Jersey, USA, June 13 - 15, 1990 ; refereed papers and unrefereed abstracts (Murray Hill, NJ, USA, June 13-15, 1990)
pp. 377-391.
Morris Plains, NJ : Compton Pr.
Sabourin, Robert.
1992.
« Choix d'un facteur de forme basé sur l'utilisation des matrices d'échantillonage polaire (MEP) ».
In Automatisation industrielle : conférence Canadienne et exposition : École de Technologie Supérieure Montréal, 1-3 juin 1992 : actes de la conférence = Industrial automation : Canadian conference and exhibition : Ecole de Technologie Supérieure Montre (Montréal, QC, Canada, 1-3 juin 1992)
20.21-20.25.
Montréal, QC, Canada : International Association for Industrial Automation.
Sabourin, Robert.
1997.
« Off-line signature verification : recent advances and perspectives ».
In Advances in Document Image Analysis (Curitiba, Brazil, Nov. 2-5, 1997)
Coll. « Lecture Notes in Computer Science », vol. 1339.
pp. 84-98.
Berlin, Germany : Springer-Verlag. Sabourin, Robert. 1996. « Une approche perceptuelle pour la définition d'une représentation adaptée au problème de la vérification hors-ligne des signatures manuscrites ». Communication lors de la conférence : Colloque multidisciplinaire L'intelligence artificielle dans les technologies de l'information tenu dans le cadre du Congrès de l'ACFAS (Montréal, QC, Canada, 13-17 mai 1996).
Sabourin, Robert.
1992.
« Évaluation d'un classificateur de type LVQ de Kohonen pour la vérification automatique de l'identité ».
In Traitement de l'écriture et des documents ; Texte imprimé : actes (Nancy, France, 6-7 juil. 1992)
pp. 160-167.
Rennes, France : IRISA.
Sabourin, Robert, Cheriet, Mohamed et Genest, Christian.
1993.
« An extended-shadow-code based approach for off-line signature verification ».
In Proceedings of 2nd International Conference on Document Analysis and Recognition (ICDAR '93) (Tsukuba Science City, Japan, Oct. 20-22, 1993)
pp. 1-5.
Los Alamitos, CA, USA : Institute of Electrical and Electronics Engineers (IEEE).
Sabourin, Robert, Drouhard, J. P. et Wah, Etienne Sum.
1997.
« Shape matrices as a mixed shape factor for off-line signature verification ».
In 4th International Conference on Document Analysis and Recognition (Ulm, Germany, Aug. 18-20, 1997)
pp. 661-665.
Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers.
Sabourin, Robert et Drouhard, Jean-Pierre.
1992.
« Off-line signature verification using directional PDF and neural networks ».
In Proceedings. 11th IAPR International Conference on Pattern Recognition. Vol.II. Conference B: Pattern Recognition Methodology and Systems (The Hague, Netherlands, Aug. 30-Sept. 3, 1992)
pp. 321-325.
Los Alamitos, CA, USA : Institute of Electrical and Electronics Engineers (IEEE).
Sabourin, Robert, Drouhard, Jean-Pierre, Gagné, L. et Paquet, N..
1992.
« Automatic handwritten signature verification using directional PDF and neural networks: a feasibility study ».
In Automatisation industrielle : conférence Canadienne et exposition : École de Technologie Supérieure Montréal, 1-3 juin 1992 : actes de la conférence = Industrial automation : Canadian conference and exhibition : Ecole de Technologie Supérieure Montre (Montreal, QC, Canada, 1-3 juin 1992)
20.17-20.20.
Montreal, QC, Canada : International Association for Industrial Automation.
Sabourin, Robert et Genest, Ginette.
1995.
« An Extended-Shadow-Code based approach for off-line signature verification: Part II- evaluation of several multi-classifier combination strategies ».
In Proceedings of the Third International Conference on Document Analysis and Recognition, 1995 (Montreal, QC, Canada, Aug. 14-16, 1995)
pp. 197-201.
Sabourin, Robert et Genest, Ginette.
1994.
« An extended-shadow-code based approach for off-line signature verification. I. Evaluation of the bar mask definition ».
In 12th International Conference on Pattern Recognition- Conference B: Computer Vision & Image Processing (Jerusalem, Oct. 9-13, 1994)
pp. 450-453.
Los Alamitos, CA, USA : Institute of Electrical and Electronics Engineers Computer Society.
Sabourin, Robert, Genest, Ginette et Prêteux, Françoise.
1996.
« Pattern spectrum as a local shape factor for off-line signature verification ».
In Proceedings of the 13th International Conference on Pattern Recognition (ICPR) (Vienns, Austria, Aug. 25-29, 1996)
pp. 43-48.
IEEE.
Sabourin, Robert, Genest, Ginette et Preteux, Francoise J..
1997.
« Off-line signature verification by local granulometric size distributions ».
IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 19, nº 9.
pp. 976-988.
Sabourin, Robert, Ko, Albert H. R. et Britto, Jr.A..
2008.
« From dynamic classifier selection to dynamic ensemble selection ».
Pattern Recognition, vol. 41, nº 5.
pp. 1718-1731.
Sabourin, Robert, Plamondon, R. et Lorette, Guy.
1992.
« Off-line identification with handwritten signature images : survey and perspectives ».
In
Structured document image analysis.
pp. 219-234. Berlin, Germany : Springer-Verlag.
Sabourin, Robert et Plamondon, Réjean.
1986.
« Preprocessing of handwritten signatures from image gradient analysis ».
In 8th International Conference on Pattern Recognition (ICPR'86) (Paris, France, Oct. 27-31, 1986)
pp. 576-579.
Washington, D.C. : IEEE Computer Society Press.
Sabourin, Robert et Plamondon, Réjean.
1988.
« Segmentation of handwritten signature images using the statistics of directional data ».
In 9th International Conference on Pattern Recognition (Rome, Italy, Nov. 14-17, 1988)
pp. 282-285.
IEEE.
Sabourin, Robert et Plamondon, Réjean.
1990.
« Steps toward efficient processing of handwritten signature images ».
In Vision Interface '90 : proceedings/compte rendu (Halifax, NS, Canada, May 14-18, 1990)
pp. 94-104.
Canadian Image Processing and Pattern Recognition Society.
Sabourin, Robert, Plamondon, Réjean et Beaumier, Louis.
1994.
« Structural interpretation of handwritten signature images ».
International Journal of Pattern Recognition and Artificial Intelligence, vol. 8, nº 3.
pp. 709-48.
Sadraoui, Aymen, Martin, Ségolène, Barbot, Eliott, Laurent-Bellue, Astrid, Pesquet, Jean-Christophe, Guettier, Catherine et Ben Ayed, Ismail.
2024.
« A transductive few-shot learning approach for classification of digital histopathological slides from liver cancer ».
In IEEE International Symposium on Biomedical Imaging (ISBI) (Athens , Greece, May 27-30, 2024)
IEEE Computer Society.
Said, J. N., Cheriet, M. et Suen, C. Y..
1996.
« Extended formal module for visual data processing of business forms and bank cheques ».
In Vision interface '96: Toronto, Ontario, 21-24, May/Mai 1996; proceedings/actes (Toronto, ON, Canada, May 21-24, 1996)
pp. 84-92.
Toronto, ON, Canada : Canadian Information Processing Society.
Said, J. N., Cheriet, Mohamed et Suen, C. Y..
1996.
« Dynamical morphological processing: A fast method for base line extraction ».
In Proceedings of the 13th International Conference on Pattern Recognition, 1996 (Vienna, Austria, Aug. 25-29, 1996)
pp. 8-12.
Institute of Electrical and Electronics Engineers Inc..
Sallo, Raymel Alfonso, Esmaeilpour, Mohammad et Cardinal, Patrick.
2020.
« Adversarially training for audio classifiers ».
In 25th International Conference on Pattern Recognition (ICPR) (Milan, Italy, Jan. 10-15, 2021)
pp. 9569-9576.
Piscataway, NJ, USA : IEEE.
Samet, Saeed, Miri, Ali et Granger, Éric.
2013.
« Incremental learning of privacy-preserving Bayesian networks ».
Applied Soft Computing, vol. 13, nº 8.
pp. 3657-3667.
Samimi, Hamed, Forouzanfar, Mohamad et Dajani, Hilmi R..
2015.
« Automatic recognition of speech-evoked brainstem responses to English vowels ».
In IASTED International Conference on Computational Intelligence (CI 2015) (Innsbruck, Austria, Feb. 16-17, 2015)
pp. 207-211.
Acta Press.
Santos, Cesar, Justino, Edson J. R., Bortolozzi, Flavio et Sabourin, Robert.
2004.
« An off-line signature verification method based on the questioned document expert's approach and a neural network classifier ».
In Ninth International Workshop on Frontiers in Handwriting Recognition (IWFHR-9) (Tokyo, Japan, Oct. 26-29, 2004)
pp. 498-502.
IEEE Computer Society.
Santos, J. E., Bortolozzi, F. et Sabourin, R..
1997.
« A simple methodology to bank cheque segmentation ».
In Advances in document image analysis: first Brazilian symposium, BSDIA '97, Curitiba, Brazil, November 2-5, 1997: proceedings (Curitiba, Brazil, Nov. 2-5, 1997)
Coll. « Lecture Notes in Computer Science », vol. 1339.
pp. 334-343.
New York, NY, USA : Springer Verlag.
Santos, M., Oliveira, L., Sabourin, Robert, Koerich, A. et Britto Jr., A..
2008.
« Combinando caracteristicas complementares em modelos escondidos de markov: uma otimizaçao para o reconhecimento de caracteres manuscritos ».
In Conferencia Latinoamericana de Informatica (CLEI) (Santa Fe, Argentina, Sept. 8-12, 2008)
pp. 260-269.
Santos, Murilo, Ko, Albert Hung-Ren, Oliveira, Luis S., Sabourin, Robert, Koerich, Alessandro L. et Britto, Alceu de Souza.
2009.
« Evaluation of different strategies to optimize an HMM-based character recognition system ».
In 10th International Conference on Document Analysis and Recognition (ICDAR) (Barcelona, Spain, July 26-29, 2009)
pp. 666-670.
Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers Computer Society.
Saryazdi, Saeid et Cheriet, Mohamed.
2007.
« PKCS: a polynomial kernel family with compact support for scale-space image processing ».
IEEE Transactions on Image Processing, vol. 16, nº 9.
pp. 2299-2308.
Sayadi, Mounir, Sakrane, Samir, Fnaiech, Farhat et Cheriet, Mohamed.
2008.
« Gray-level texture characterization based on a new adaptive nonlinear auto-regressive filter ».
Electronic Letters on Computer Vision and Image Analysis, vol. 7, nº 1.
pp. 40-53.
Sayadi, Mounir, Sakrani, Samir, Fnaiech, Farhat et Cheriet, Mohamed.
2004.
« A new non-linear exponential 2-D adaptive filter and its application in texture characterization ».
In IEEE International Conference on Acoustics, Speech and Signal Processing (Montreal, Canada, May 17-21, 2004)
pp. 589-592.
Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers.
Scalabrin, E., Bortolozzi, F., Kaestner, C., Lethelier, E. et Sabourin, R..
1998.
« Multipost: Uma arquitetura de agentes cognitivos independientes para a triagem de correspondências brasileiras ».
In ISDM'98-International Seminar on Document Management (Curitiba, Brasil, Nov. 10-11, 1998)
pp. 92-103.
Scalabrin, E., Bortolozzi, F., Kaestner, C. et Sabourin, R..
1998.
« MULTICHECK: une architecture d'agents cognitifs indépendants pour le traitement automatique des chèques bancaires brésiliens ».
In Actes du 1er colloque international francophone sur l'écrit et le document tenu dans le cadre du congrès de l'Acfas à Québec en mai 1998 (Québec, QC, Canada, 11-13 mai 1998)
Coll. « Cahiers de l'ACFAS », vol. 93.
pp. 433-442.
Montréal, QC, Canada : Association canadienne-française pour l'avancement des sciences.
Seddik, H., Sayadi, M., Fnaiech, F. et Cheriet, Mohamed.
2007.
« A new multi-domains image watermarking method based on multi-watermarks embedding and neural network segmentation ».
Applied Mathematical Sciences, vol. 1, nº 39.
pp. 1927-1939.
Sehad, Abdenour, Mezai, Lamia, Laskri, Mohamed Tayed et Cheriet, Mohamed.
2004.
« Détection de l'inclinaison des documents arabes imprimés ».
In Actes du huitième Colloque international francophone sur l'écrit et le document, CIFED'04, 21 - 25 juin 2004, La Rochelle (La Rochelle, France, 21-25 juin 2004)
Senoussaoui, Mohammed, Cardinal, Patrick, Dehak, Najim et Koerich, Alessandro L..
2016.
« Native language detection using the i-vector framework ».
In 17th Annual Conference of the International Speech Communication Association (INTERSPEECH) (San Francisco, CA, USA, Sept. 08-16, 2016)
pp. 2398-2402.
Baixas, France : International Speech and Communication Association.
Senoussaoui, Mohammed, Saria-Paja, Milton O., Cardinal, Patrick, Falk, Tiago H. et Michaud, François.
2020.
« State-of-the-art speaker recognition methods applied to speakers with dysarthria ».
In
Voice Technologies for Speech Reconstruction and Enhancement.
Coll. « Speech Technology and Text Mining in Medicine and Health Care », vol. 6.
pp. 7-34. Boston; Berlin : De Gruyter.
Shah, Alpa Jayesh, Desrosiers, Christian et Sabourin, Robert.
2015.
« Contextual anomaly detection using log-linear tensor factorization ».
In Advances in Knowledge Discovery and Data Mining : 19th Pacific-Asia Conference, PAKDD 2015. Ho Chi Minh City, Vietnam, May 19-22, 2015, Proceedings, Part II (Ho Chi Minh City, Vietnam, May 19-22, 2015)
Coll. « Lecture Notes in Computer Science », vol. 9078.
pp. 165-176.
Cham, Switzerland : Springer International Publishing.
Shahsavari, Mohammadreza, Delfan, Niloufar et Forouzanfar, Mohamad.
2024.
« Localizing the origin of idiopathic ventricular arrhythmias from ECG using a recurrent convolutional neural network with attention ».
IEEE Transactions on Instrumentation and Measurement, vol. 73.
Shakeri, Fereshteh, Huang, Yunshi, Silva-Rodríguez, Julio, Bahig, Houda, Tang, An, Dolz, José et Ben Ayed, Ismail.
2024.
« Few-shot adaptation of medical vision-language models ».
In Medical Image Computing and Computer Assisted Intervention – MICCAI 2024 : 27th International Conference, Proceedings, Part XII (Marrakesh, Morocco, Oct. 06-10, 2024)
Coll. « Lecture notes in computer science », vol. 15012.
pp. 553-563.
Springer.
Shamsolmoali, Pourya, Zareapoor, Masoumeh, Das, Swagatam, Garcia, Salvador, Granger, Eric et Yang, Jianyi.
2023.
« GEN: Generative Equivariant Networks for diverse image-to-image translation ».
IEEE Transactions on Cybernetics, vol. 53, nº 2.
pp. 874-886.
Shamsolmoali, Pourya, Zareapoor, Masoumeh, Das, Swagatam, Granger, Eric et Garcia, Salvador.
2024.
« Hybrid Gromov-Wasserstein embedding for capsule learning ».
IEEE Transactions on Neural Networks and Learning Systems.
Shamsolmoali, Pourya, Zareapoor, Masoumeh et Granger, Eric.
2023.
« Image completion via dual-path cooperative filtering ».
In IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) (Rhodes Island, Greece, June 04-10, 2023)
IEEE.
Shamsolmoali, Pourya, Zareapoor, Masoumeh et Granger, Eric.
2023.
« Transinpaint: Transformer-based image inpainting with context adaptation ».
In IEEE/CVF International Conference on Computer Vision Workshops (ICCVW) (Paris, France, Oct. 02-06, 2023)
pp. 849-858.
Institute of Electrical and Electronics Engineers.
Shamsolmoali, Pourya, Zareapoor, Masoumeh, Granger, Eric et Felsberg, Michael.
2024.
« SeTformer is what you need for vision and language ».
[Article de conférence]. Proceedings of the AAAI Conference on Artificial Intelligence, vol. 38, nº 5.
pp. 4713-4721.
Shamsolmoali, Pourya, Zareapoor, Masoumeh, Granger, Eric, Zhou, Huiyu, Wang, Ruili, Celebi, M. Emre et Yang, Jie.
2021.
« Image synthesis with adversarial networks: A comprehensive survey and case studies ».
Information Fusion, vol. 72.
pp. 126-146.
Shamsolmoali, Pourya, Zareapoor, Masoumeh, Jie, Yang, Granger, Eric et Chanussot, Jocelyn.
2022.
« Enhanced single-shot detector for small object detection in remote sensing images ».
In IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium (Kuala Lumpur, Malaysia, July 17-22, 2022)
pp. 1716-1719.
Piscataway, NJ, USA : IEEE.
Shamsolmoali, Pourya, Zareapoor, Masoumeh, Yang, Jie, Granger, Eric et Zhou, Huiyu.
2022.
« Salient skin lesion segmentation via dilated scale-wise feature fusion network ».
In 26th International Conference on Pattern Recognition (ICPR) (Montreal, QC, Canada, Aug. 21-25, 2022)
pp. 4219-4225.
Institute of Electrical and Electronics Engineers Inc..
Shateri, M., Ghaib, M., Svecova, D. et Thomson, D. J..
2016.
« Robust failure prediction in fiber reinforced polymer rods using frequency entropy of clustered acoustic emission events ».
In ECCM 2016 - Proceeding of the 17th European Conference on Composite Materials (Munich, Germany, June 26-30, 2016)
European Conference on Composite Materials, ECCM.
Shateri, MohammadHadi.
2023.
« Privacy-cost management in smart meters: Classical vs deep Q-learning with mutual information ».
In 11th International Conference on Smart Energy Grid Engineering (SEGE) (Oshawa, ON, Canada, Aug. 13-15, 2023)
pp. 109-113.
IEEE.
Shateri, Mohammadhadi, Ghaib, Maha, Svecova, Dagmar et Thomson, Douglas.
2021.
« Acoustic emission signal entropy as a means to estimate loads in fiber reinforced polymer rods ».
Sensors, vol. 21, nº 4.
Shateri, Mohammadhadi, Ghaib, Maha, Svecova, Dagmar et Thomson, Douglas.
2017.
« On acoustic emission for damage detection and failure prediction in fiber reinforced polymer rods using pattern recognition analysis ».
Smart Materials and Structures, vol. 26, nº 6.
Shateri, Mohammadhadi, Ghorbani, Shohreh, Hemmati-Sarapardeh, Abdolhossein et Mohammadi, Amir H..
2015.
« Application of Wilcoxon generalized radial basis function network for prediction of natural gas compressibility factor ».
Journal of the Taiwan Institute of Chemical Engineers, vol. 50.
pp. 131-141.
Shateri, Mohammadhadi et Labeau, Fabrice.
2022.
« Privacy-preserving adversarial network (PPAN) for continuous non-Gaussian attributes ».
In IEEE/ACM International Conference on Big Data Computing, Applications and Technologies (BDCAT) (Vancouver, WA, USA, Mar. 06-09, 2022)
pp. 138-143.
Shateri, MohammadHadi, Messina, Francisco, Labeau, Fabrice et Piantanida, Pablo.
2024.
« Preserving privacy in GANs against membership inference attack ».
IEEE Transactions on Information Forensics and Security, vol. 19.
pp. 1728-1743.
Shateri, Mohammadhadi, Messina, Francisco, Piantanida, Pablo et Labeau, Fabrice.
2021.
« Learning sparse privacy-preserving representations for smart meters data ».
In IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm) (Aachen, Germany, Oct. 25-28, 2021)
pp. 333-338.
Institute of Electrical and Electronics Engineers Inc..
Shateri, Mohammadhadi, Messina, Francisco, Piantanida, Pablo et Labeau, Fabrice.
2020.
« On the impact of side information on smart meter privacy-preserving methods ».
In IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm) (Tempe, AZ, USA, Nov. 11-13, 2020)
Institute of Electrical and Electronics Engineers Inc..
Shateri, Mohammadhadi, Messina, Francisco, Piantanida, Pablo et Labeau, Fabrice.
2020.
« Privacy-cost management in smart meters using deep reinforcement learning ».
In IEEE PES Innovative Smart Grid Technologies Conference Europe (ISGT-Europe) (The Hague, Netherlands, Oct. 26-28, 2020)
pp. 929-933.
IEEE Computer Society.
Shateri, Mohammadhadi, Messina, Francisco, Piantanida, Pablo et Labeau, Fabrice.
2022.
« Privacy-cost management in smart meters with mutual-information-based reinforcement learning ».
IEEE Internet of Things Journal, vol. 9, nº 22.
pp. 22389-22398.
Shateri, Mohammadhadi, Messina, Francisco, Piantanida, Pablo et Labeau, Fabrice.
2020.
« Real-time privacy-preserving data release for smart meters ».
IEEE Transactions on Smart Grid, vol. 11, nº 6.
pp. 5174-5183.
Shateri, Mohammadhadi, Messina, Francisco, Piantanida, Piantanida et Labeau, Fabrice.
2019.
« Deep directed information-based learning for privacy-preserving smart meter data release ».
In IEEE International Conference on Communications, Control, and Computing Technologies for Smart Grids (SmartGridComm) (Beijing, China, Oct. 21-23, 2019)
Institute of Electrical and Electronics Engineers Inc..
Shateri, Mohammadhadi, Sobhanigavgani, Zeinab, Alinasab, Azin, Varamesh, Amir, Hemmati-Sarapardeh, Abdolhossein, Mosavi, Amir et Shamshirband, Shahab.
2020.
« Comparative analysis of machine learning models for nanofluids viscosity assessment ».
Nanomaterials, vol. 10, nº 9.
Shateri, Mohammadhadi, Thomson, Douglas, Ghaib, Maha et Svecova, Dagmar.
2017.
« System for logging acoustic emission signals from FRP reinforcing rods that is suitable for field and long term laboratory testing ».
In 11th International Workshop on Structural Health Monitoring (IWSHM) (Stanford, CA, USA, Sept. 12-14, 2017)
pp. 1220-1227.
DEStech Publications.
Shen, Ruobing, Tang, Bo, Lodi, Andrea, Tramontani, Andrea et Ben Ayed, Ismail.
2020.
« An ILP model for multi-label MRFs with connectivity constraints ».
IEEE Transactions on Image Processing, vol. 29.
pp. 6909-6917.
Silva, Eunelson J., Britto, Alceu S., Oliveira, Luiz S., Enembreck, Fabricio, Sabourin, Robert et Koerich, Alessandro L..
2017.
« A two-step cascade classification method ».
In 2017 International Joint Conference on Neural Networks (IJCNN) (Anchorage, AK, USA, May 14-19, 2017)
pp. 573-580.
Piscataway, NJ, USA : IEEE.
Silva, Ronan A., Britto Jr., Alceu S., Enembreck, Fabricio, Sabourin, Robert et Oliveira, Luis S..
2018.
« Fusion of classifiers based on centrality measures ».
In 2018 IEEE 30th International Conference on Tools with Artificial Intelligence (ICTAI) (Volos, Greece, Nov. 5-7, 2018)
pp. 363-370.
Los Alamitos, CA, USA : IEEE Computer Society.
Silva, Ronan Assumpcao, Britto Jr, Alceu de Souza, Enembreck, Fabricio, Sabourin, Robert et de Oliveira, Luiz E. S..
2020.
« CSBF: A static ensemble fusion method based on the centrality score of complex networks ».
Computational Intelligence, vol. 36, nº 2.
pp. 522-556.
Silva-Rodríguez, Julio, Chakor, Hadi, Kobbi, Riadh, Dolz, Jose et Ben Ayed, Ismail.
2025.
« A Foundation Language-Image Model of the Retina (FLAIR): Encoding expert knowledge in text supervision ».
Medical Image Analysis, vol. 99.
Silva-Rodriguez, Julio, Chelbi, Jihed, Kabir, Waziha, Chakor, Hadi, Dolz, Jose, Ben Ayed, Ismail et Kobbi, Riadh.
2024.
« Exploring the transferability of a foundation model for fundus images: Application to hypertensive retinopathy ».
In Advances in Computer Graphics : 40th Computer Graphics International Conference, CGI : Proceedings (Shanghai, China, Aug. 28-Sept. 01, 2023)
Coll. « Lecture Notes in Computer Science », vol. 14497.
pp. 427-437.
Springer Science and Business Media Deutschland GmbH.
Silva-Rodriguez, Julio, Colomer, Adrián, Dolz, Jose et Naranjo, Valery.
2021.
« Self-learning for weakly supervised gleason grading of local patterns ».
IEEE Journal of Biomedical and Health Informatics, vol. 25, nº 8.
pp. 3094-3104.
Silva-Rodríguez, Julio, Dolz, José et Ben Ayed, Ismail.
2023.
« Towards foundation models and few-shot parameter-efficient fine-tuning for volumetric organ segmentation ».
In Medical Image Computing and Computer Assisted Intervention – MICCAI 2023 Workshops : ISIC 2023, Care-AI 2023, MedAGI 2023, DeCaF 2023, Held in Conjunction with MICCAI 2023 : Proceedings (Vancouver, BC, Canada, Oct. 08-12, 2023)
Coll. « Lecture Notes in Computer Science », vol. 14393.
pp. 213-224.
Springer Science and Business Media.
Silva-Rodríguez, Julio, Naranjo, Valery et Dolz, Jose.
2022.
« Constrained unsupervised anomaly segmentation ».
Medical Image Analysis, vol. 80.
Simard, Guillaume, Melançon, Cédric, Cardinal, Patrick et Gascon-Samson, Julien.
2023.
« Performance characterization of MQTT brokers in a device-local edge deployment ».
In MiddleWEdge 2023 - Proceedings of the 2nd International Workshop on Middleware for the Edge (Bologna, Italia, Dec. 11, 2023)
pp. 13-18.
Association for Computing Machinery, Inc.
Simon, C., Levrat, E., Bremont, J. et Sabourin, R..
1997.
« A fuzzy perception for off-line handwritten signature verification ».
In Advances in document image analysis: first Brazilian symposium, BSDIA '97, Curitiba, Brazil, November 2-5, 1997: proceedings (Curitiba, Brazil, Nov. 2-5, 1997)
Coll. « Lecture Notes in Computer Science », vol. 1339.
pp. 261-272.
New York, NY, USA : Springer Verlag.
Simon, C., Levrat, E., Brémont, J. et Sabourin, Robert.
1996.
« Codage d'images de signatures manuscrites pour la vérification hors-ligne ».
In Rencontres Francophones sur la Logique Floue et ses Applications (LFA'96) (Nancy, France, 4-5 déc. 1996)
pp. 23-30.
Toulouse, France : Cépaduès Editions.
Simon, C., Querelle, R., Levrat, E., Brémont, J. et Sabourin, R..
1996.
« Codage d'images de signatures manuscrites pour la vérification hors-ligne ».
In L'Ecrit et le document: 4ème colloque national sur ..., Nantes, France, 3-5 Juillet, 1996 (Nantes, France, 3-5 juil. 1996)
pp. 171-177.
Nantes, France : Université de Nantes.
Simon, Christophe, Levrat, Eric, Sabourin, Robert et Bombardier, Vincent.
1993.
« Vérification automatique des signatures manuscrites par classification floue ».
In Actes des 3ème journées nationales sur les applications des ensembles flous (Nîmes, France, 26-27 oct. 1993)
Simon, J. C. et Cheriet, M.. 1990. « Finding ascenders and descenders of handwritten words ». Communication lors de la conférence : International Association for Pattern Recognition (IAPR) Workshop on syntactic and structural pattern recognition (Murray Hill, NJ, USA, June 13-15, 1990).
Sinha, Ashish et Dolz, José.
2021.
« Multi-scale self-guided attention for medical image segmentation ».
IEEE Journal of Biomedical and Health Informatics, vol. 25, nº 1.
pp. 121-130.
Smaili, N., Cardinal, P., Boulianne, G. et Dumouchel, P..
2002.
« Disambiguation of finite-state transducers ».
In Proceedings of the 19th International Conference on Computational Linguistics (COLING2002) (Taipei, Taiwan, Aug. 26-30, 2002)
Association for Computational Linguistics (ACL).
Soleymani, Roghayeh, Granger, Eric et Fumera, Giorgio.
2016.
« Classifier ensembles with trajectory under-sampling for face re-identification ».
In Proceedings of the 5th International Conference on Pattern Recognition Applications and Methods (ICPRAM 2016) (Rome, Italy, Feb. 24-26, 2016)
pp. 97-108.
SciTePress.
Soleymani, Roghayeh, Granger, Eric et Fumera, Giorgio.
2018.
« F-Measure curves for visualizing classifier performance with imbalanced data ».
In Artificial Neural Networks in Pattern Recognition : 8th IAPR TC3 Workshop, ANNPR 2018, Siena, Italy, September 19–21, 2018, Proceedings (Siena, Italy, Sept. 19-21, 2018)
Coll. « Lecture Notes in Computer Science », vol. 11081.
pp. 165-177.
Springer.
Soleymani, Roghayeh, Granger, Eric et Fumera, Giorgio.
2020.
« F-measure curves: A tool to visualize classifier performance under imbalance ».
Pattern Recognition, vol. 100.
Soleymani, Roghayeh, Granger, Eric et Fumera, Giorgio.
2016.
« Loss factors for learning Boosting ensembles from imbalanced data ».
In 23rd International Conference on Pattern Recognition (ICPR) (Cancun, Mexico, Dec. 4-8, 2016)
pp. 204-209.
IEEE.
Soleymani, Roghayeh, Granger, Eric et Fumera, Giorgio.
2018.
« Progressive boosting for class imbalance and its application to face re-identification ».
Expert Systems with Applications, vol. 101.
pp. 271-291.
Soulaïmani, A., Wong, T. et Azami, Y..
2001.
« Building PC clusters: an object-oriented approach ».
In Parallel computational fluid dynamics: trends and applications: proceedings of the Parallel CFD 2000 Conference (Trondheim, Norway, May 22-25, 2000)
pp. 139-146.
New York, NY, USA : Elsevier.
Soulaimani, Azzeddine, Wong, Tony, Azami, Y. et Ben Elhaj-ali, A..
2003.
« An Object-Oriented Approach for Building PC Clusters ».
Information : an International Interdisciplinary Journal, vol. 6, nº 3.
pp. 251-260.
Souza, Andrea, Cheriet, Mohamed, Naoi, Satoshi et Suen, Ching Y..
2003.
« Automatic filter selection using image quality assessment ».
In Seventh International Conference on Document Analysis and Recognition (Edinburgh, Scotland, Aug. 3-6, 2003)
pp. 508-512.
Los Alamitos, CA, USA : Institute of Electrical and Electronics Engineers Computer Society.
Souza, Mariana A., Cavalcanti, George D. C., Cruz, Rafael M. O. et Sabourin, Robert.
2019.
« On evaluating the online local pool generation method for imbalance learning ».
In International Joint Conference on Neural Networks (IJCNN) (Budapest, Hungary, July 14-19, 2019)
Piscataway, NJ, USA : IEEE.
Souza, Mariana A., Cavalcanti, George D. C., Cruz, Rafael M. O. et Sabourin, Robert.
2017.
« On the characterization of the Oracle for dynamic classifier selection ».
In International Joint Conference on Neural Networks (IJCNN) (Anchorage, AK, USA, May 08-12, 2017)
pp. 332-339.
IEEE.
Souza, Mariana A., Cavalcanti, George D. C., Cruz, Rafael M. O. et Sabourin, Robert.
2019.
« Online local pool generation for dynamic classifier selection ».
Pattern Recognition, vol. 85.
pp. 132-148.
Souza, Mariana A., Sabourin, Robert, Cavalcanti, George D. C. et Cruz, Rafael M. O..
2022.
« Local overlap reduction procedure for dynamic ensemble selection ».
In International Joint Conference on Neural Networks (IJCNN) (Padua, Italy, July 18-23, 2022)
IEEE.
Souza, Mariana A., Sabourin, Robert, Cavalcanti, George D. C. et Cruz, Rafael M. O..
2020.
« Multi-label learning for dynamic model type recommendation ».
In International Joint Conference on Neural Networks (IJCNN) (Glasgow, United Kingdom, July 19-24, 2020)
IEEE.
Souza, Mariana A., Sabourin, Robert, Cavalcanti, George D. C. et Cruz, Rafael M. O..
2023.
« OLP++: An online local classifier for high dimensional data ».
Information Fusion, vol. 90.
pp. 120-137.
Souza, Mariana A., Sabourin, Robert, Cavalcanti, Geroge D. C. et Cruz, Rafael M. O..
2024.
« A dynamic multiple classifier system using graph neural network for high dimensional overlapped data ».
Information Fusion, vol. 103.
Souza, Victor L. F., Oliveira, Adriano L. I., Cruz, Rafael M. O. et Sabourin, Robert.
2020.
« A white-box analysis on the writer-independent dichotomy transformation applied to offline handwritten signature verification ».
Expert Systems with Applications, vol. 154.
Souza, Victor L. F., Oliveira, Adriano L. I., Cruz, Rafael M. O. et Sabourin, Robert.
2021.
« An investigation of feature selection and transfer learning for writer-independent offline handwritten signature verification ».
In 25th International Conference on Pattern Recognition (ICPR) (Milan, Italy - En ligne, Jan. 10-15, 2021)
pp. 1475-1482.
Institute of Electrical and Electronics Engineers Inc..
Souza, Victor L. F., Oliveira, Adriano L. I., Cruz, Rafael M. O. et Sabourin, Robert.
2019.
« Characterization of handwritten signature images in dissimilarity representation space ».
In Computational Science : ICCS 2019 : 19th International Conference : Proceedings, Part III (Faro, Portugal, June 12-14, 2019)
Coll. « Lecture Notes in Computer Science », vol. 11538.
pp. 192-206.
Springer Verlag.
Souza, Victor L. F., Oliveira, Adriano L. I., Cruz, Rafael M. O. et Sabourin, Robert.
2020.
« Improving BPSO-based feature selection applied to offline WI handwritten signature verification through overfitting control ».
In Genetic and Evolutionary Computation Conference (GECCO) (Cancun, Mexico, July 08-12, 2020)
pp. 69-70.
Association for Computing Machinery Inc.
Souza, Victor L. F., Oliveira, Adriano L. I., Cruz, Rafael M. O. et Sabourin, Robert.
2019.
« On dissimilarity representation and transfer learning for offline handwritten signature verification ».
In International Joint Conference on Neural Networks (IJCNN) (Budapest, Hungary, July 14-19, 2019)
Piscataway, NJ, USA : IEEE.
Souza, Victor L. F., Oliveira, Adriano L. I. et Sabourin, Robert.
2018.
« A writer-independent approach for offline signature verification using deep convolutional neural networks features ».
In 2018 7th Brazilian Conference on Intelligent Systems (BRACIS) (Sao Paulo, Brazil, Oct. 22-25, 2018)
pp. 212-217.
Los Alamitos, CA, USA : IEEE Computer Society.
Suen, Ching Y., Lam, L., Guillevic, D., Strathy, N. W., Cheriet, Mohamed, Said, J. N. et Fan, R..
1996.
« Bank check processing system ».
International Journal of Imaging Systems and Technology, vol. 7, nº 4.
pp. 392-403.
Tang, Hanshen, Augustin, Emmanuel, Suen, Ching Y., Baret, Olivier et Cheriet, Mohamed.
2004.
« Recognition of unconstrained legal amounts handwritten on Chinese bank checks ».
In 17th International Conference on Pattern Recognition (ICPR) (Cambridge, UK, Aug. 23-26, 2004)
pp. 610-613.
Los Alamitos, CA, USA : Institute of Electrical and Electronics Engineers Computer Society.
Tang, Hanshen, Augustin, Emmanuel, Suen, Ching Y., Baret, Olivier et Cheriet, Mohamed.
2004.
« Spiral recognition methodology and its application for recognition of Chinese bank checks ».
In Ninth International Workshop on Frontiers in Handwriting Recognition (IWFHR) (Tokyo, Japan, Oct. 26-29, 2004)
pp. 263-268.
Los Alamitos, CA, USA : Institute of Electrical and Electronics Engineers Computer Society.
Tang, Meng, Ben Ayed, Ismail et Boykov, Yuri.
2014.
« Pseudo-bound optimization for binary energies ».
In Computer Vision – ECCV 2014. 13th European Conference, Zurich, Switzerland, September 6-12, 2014, Proceedings, Part V (Zurich, Switzerland, Sept. 6-12, 2014)
Coll. « Lecture Notes in Computer Science », vol. 8693.
pp. 691-707.
Springer International Publishing.
Tang, Meng, Marin, Dmitrii, Ben Ayed, Ismail et Boykov, Yuri.
2019.
« Kernel cuts: Kernel and spectral clustering meet regularization ».
International Journal of Computer Vision, vol. 127, nº 5.
pp. 477-511.
Tang, Meng, Marin, Dmitrii, Ben Ayed, Ismail et Boykov, Yuri.
2016.
« Normalized Cut Meets MRF ».
In Computer Vision - ECCV 2016 : 14th European Conference, Amsterdam, The Netherlands, October 11-14, 2016, Proceedings, Part II (Amsterdam, Netherlands, Oct. 08-16, 2016)
Coll. « Lecture Notes in Computer Science », vol. 9906.
pp. 748-765.
Springer International Publishing.
Tang, Meng, Perazzi, Federico, Djelouah, Abdelaziz, Ben Ayed, Ismail, Schroers, Christopher et Boykov, Yuri.
2018.
« On regularized losses for weakly-supervised CNN segmentation ».
In Computer Vision – ECCV 2018 : 15th European Conference : Proceedings (Munich, Germany, Sept. 08-14, 2018)
Coll. « Lecture Notes in Computer Science », vol. 11220.
pp. 524-540.
Springer.
Tang, Y. Y., Suen, C. Y., Yan, C. D. et Cheriet, M..
1991.
« Documents analysis and understanding : a brief survey ».
In Proceedings First International Conference on Document Analysis and Recognition = Actes de la conférence / Conférence Internationale sur l'Analyse et la Reconnaissance de Documents (Saint-Malo, France, Sept. 30-Oct. 2, 1991)
pp. 17-31.
AFCET : IRISA/INRIA : École Nationale Supérieure des Télécommunications.
Tang, Yuan Y., Chang De, Yan, Cheriet, Mohamed et Suen, Ching Y..
1993.
« Automatic analysis and understanding of documents ».
In
Handbook of Pattern Recognition and Computer Vision.
pp. 625-654. Singapore : World Scientific.
Tang, Yuan Y., Cheriet, M., Liu, Jiming, Said, J. N. et Suen, Ching Y..
1999.
« Document analysis and recognition by computers ».
In
Handbook of pattern recognition and computer vision.
2nd ed.
pp. 579-612. Singapore : World Scientific.
Tang, Yuan Y., Lee, Seong-Whan, Cheriet, Mohamed et Suen, Ching Y..
1992.
« Automatic knowledge acquisition from form documents ».
In Proceedings of the 2nd Pacific Rim International Conference on Artificial Intelligence (Seoul, South Korea, Sept. 15-18, 1992)
pp. 840-846.
Korean Information Science Society Center for Articficial Intelligence Research.
Tang, Yuan Y., Suen, Ching Y., Chang De, Yan et Cheriet, Mohamed.
1995.
« Financial document processing based on staff line and description language ».
IEEE Transactions on Systems, Man and Cybernetics, vol. 25, nº 5.
pp. 738-754.
Teixeira, Thomas, Granger, Eric et Koerich, Alessandro Lameiras.
2021.
« Continuous emotion recognition with spatiotemporal convolutional neural networks ».
Applied Sciences, vol. 11, nº 24.
Théberge, Antoine, Desrosiers, Christian, Boré, Arnaud, Descoteaux, Maxime et Jodoin, Pierre-Marc.
2024.
« What matters in reinforcement learning for tractography ».
Medical Image Analysis, vol. 93.
Theberge, Antoine, Desrosiers, Christian, Descoteaux, Maxime et Jodoin, Pierre-Marc.
2021.
« Track-to-Learn: A general framework for tractography with deep reinforcement learning ».
Medical Image Analysis, vol. 72.
Toews, M. et Arbel, T..
2007.
« A statistical parts-based model of anatomical variability ».
IEEE Transactions on Medical Imaging, vol. 26, nº 4.
pp. 497-508.
Toews, M. et Arbel, T..
2009.
« Detection, localization, and sex classification of faces from arbitrary viewpoints and under occlusion ».
IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 31, nº 9.
pp. 1567-1581.
Toews, M. et Arbel, T..
2003.
« Entropy-of-likelihood feature selection for image correspondence ».
In Ninth IEEE International Conference on Computer Vision, 2003. Proceedings (Nice, France, Oct. 13-16, 2003)
pp. 1041-1047.
Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers Inc..
Toews, M. et Arbel, Tal.
2009.
« Parts-based modelling of medical imagery ».
In
Computational intelligence in medical imaging: techniques and applications.
pp. 291-326. CRC Press.
Toews, Matthew et Arbel, Tal.
2007.
« Detecting and localizing 3D object classes using viewpoint invariant reference frames ».
In IEEE 11th International Conference on Computer Vision, 2007. ICCV 2007 (Rio de Janeiro, Brazil, Oct. 14-21, 2007)
pp. 1-8.
Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers Inc..
Toews, Matthew et Arbel, Tal.
2007.
« Detecting, localizing and classifying visual traits from arbitrary viewpoints using probabilistic local feature modeling ».
In Analysis and modeling of faces and gestures : Third International Workshop, AMFG 2007 Rio de Janeiro, Brazil, October 20, 2007 Proceedings (Rio de Janeiro, Brazil, Oct. 20, 2007)
Coll. « Lecture Notes in Computer Science », vol. 4778.
pp. 154-167.
Springer Berlin Heidelberg.
Toews, Matthew, Collins, D. Louis et Arbel, Tal.
2006.
« A statistical parts-based appearance model of inter-subject variability ».
In Medical Image Computing and Computer-Assisted Intervention – MICCAI 2006. 9th International Conference, Copenhagen, Denmark, October 1-6, 2006, Proceedings, Part I (Copenhagen, Denmark, Oct. 1-6, 2006)
Coll. « Lecture Notes in Computer Science », vol. 4190.
pp. 232-240.
Toews, Matthew, Collins, D. Louis et Arbel, Tal.
2009.
« Automatically learning cortical folding patterns ».
In IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2009. ISBI '09 (Boston, MA, USA, June 28-July 1, 2009)
pp. 1330-1333.
Piscataway, NJ, USA : IEEE Computer Society.
Toews, Matthew, Collins, Louis D. et Arbel, Tal.
2005.
« Maximum a posteriori local histogram estimation for image registration ».
In Medical Image Computing and Computer-Assisted Intervention - MICCAI 2005 : 8th International Conference, Palm Springs, CA, USA, October 26-29, 2005, Proceedings, Part II (Palm Springs, CA, USA, Oct. 26-29, 2005)
Coll. « Lecture Notes in Computer Science », vol. 3750.
pp. 163-170.
Springer Berlin Heidelberg.
Toews, Matthew, Golby, Alexandra J. et Wells III, William M..
2014.
« Inter-slice correspondence for 2D ultrasound-guided procedures ».
In Clinical Image-Based Procedures. Translational Research in Medical Imaging (Nagoya, Japan, Sept. 24, 2013)
Coll. « Lecture Notes in Computer Science », vol. 8361.
pp. 143-150.
Springer International Publishing.
Toews, Matthew et Wells III, William M..
2010.
« A mutual-information scale-space for image feature detection and feature-based classification of volumetric brain images ».
In 2010 IEEE Computer Society Conference on Computer Vision and Pattern Recognition - Workshops (CVPRW) (San Francisco, CA, United states, June 13-18, 2010)
pp. 111-116.
Los Alamitos, CA, USA : IEEE Computer Society.
Toews, Matthew, Wells III, William M., Collins, D. Louis et Arbel, Tal.
2010.
« Feature-based morphometry: discovering group-related anatomical patterns ».
NeuroImage, vol. 49, nº 3.
pp. 2318-2327.
Toews, Matthew, Wells III, William M. et Zöllei, Lilla.
2012.
« A feature-based developmental model of the infant brain in structural MRI ».
In Medical Image Computing and Computer-Assisted Intervention – MICCAI 2012 : 15th International Conference, Nice, France, October 1-5, 2012, Proceedings, Part II (Nice, France, Oct. 1-5, 2012)
Coll. « Lecture Notes in Computer Science », vol. 7511.
pp. 204-211.
Springer Berlin Heidelberg.
Toews, Matthew et Wells, M. William.
2018.
« Phantomless auto-calibration and online calibration assessment for a tracked freehand 2-D ultrasound probe ».
IEEE Transactions on Medical Imaging, vol. 37, nº 1.
pp. 262-272.
Toews, Matthew et Wells, William III.
2009.
« SIFT-Rank: Ordinal description for invariant feature correspondence ».
In IEEE Conference onComputer Vision and Pattern Recognition, 2009. CVPR 2009 (Miami, FL, USA, June 20-25, 2009)
pp. 172-177.
Piscataway, NJ, USA : IEEE Computer Society.
Toews, Matthew et Wells, William M..
2009.
« Bayesian registration via local image regions: information, selection and marginalization ».
In Information processing in medical imaging : 21st International Conference, IPMI 2009, Williamsburg, VA, USA, July 5-10, 2009. Proceedings (Williamsburg, VA, USA, July 5-10, 2009)
Coll. « Lecture Notes in Computer Science », vol. 5636.
pp. 435-446.
Springer Berlin Heidelberg.
Toews, Matthew, Wells, William M., Collins, D. Louis et Arbel, Tal.
2009.
« Feature-based morphometry ».
In Medical Image Computing and Computer-Assisted Intervention - MICCAI 2009 : 12th International Conference, London, UK, September 20-24, 2009, Proceedings, Part II (London, UK, Sept. 20-24, 2009)
Coll. « Lecture Notes in Computer Science », vol. 5762.
pp. 109-116.
Springer Berlin Heidelberg.
Toews, Matthew, Zöllei, Lilla et Wells, William M..
2013.
« Feature-based alignment of volumetric multi-modal images ».
In Information processing in medical imaging : 23rd International Conference, IPMI 2013, Asilomar, CA, USA, June 28–July 3, 2013. Proceedings (Asilomar, CA, USA, June 28–July 3, 2013)
Coll. « Lecture Notes in Computer Science », vol. 7917.
pp. 25-36.
Springer Berlin Heidelberg.
Tolouee, A., Abrishami-Moghaddam, H., Garnavi, R., Forouzanfar, M. et Giti, M..
2008.
« Texture analysis in lung HRCT images ».
In Digital Image Computing: Techniques and Applications (DICTA) (Canberra, ACT, Australia, Dec. 01-03, 2008)
pp. 305-311.
IEEE Computer Society.
Tolouee, Azar, Abrishami Moghaddam, Hamid, Forouzanfar, Mohamad, Gity, Masumeh et Garnavi, Rahil.
2011.
« Image based diagnostic aid system for interstitial lung diseases ».
Expert Systems with Applications, vol. 38, nº 6.
pp. 7755-7765.
Tremblay, Christine, Mahmoudialami, Ali, Ngani Sigue, Philippe Alain, Pei, Yinqing, Côté, David, Boertjes, David, Demeter, Dacian et Desrosiers, Christian.
2023.
« Detection and root cause analysis of performance degradation in optical networks using machine learning ».
In 49th European Conference on Optical Communications (ECOC) (Glasgow, Scotland, Oct. 01-05, 2023)
Institute of Engineering and Technology.
Tremblay, Guillaume, Sabourin, Robert et Maupin, Patrick.
2004.
« Optimizing nearest neighbour in random subspaces using a multi-objective genetic algorithm ».
In 17th International Conference on Pattern Recognition (ICPR) (Cambridge, UK, Aug. 23-26, 2004)
pp. 208-211.
Los Alamitos, CA, USA : Institute of Electrical and Electronics Engineers Computer Society.
Tremblay, Nicolas, Kamali, Kaveh, Cardou, Philippe, Desrosiers, Christian, Gouttefarde, Marc et Otis, Martin J.-D..
2019.
« Eye-on-hand calibration method for cable-driven parallel robots ».
In Cable-Driven Parallel Robots: 4th International Conference on Cable-Driven Parallel Robots (Krakow, Poland, June 30-July 04, 2019)
Coll. « Mechanisms and Machine Science », vol. 74.
pp. 345-356.
Springer Netherlands. Trudeau, Luc Normand, Coulombe, Stephane et Desrosiers, Christian (inventeurs) 26 juin 2018. « Method and system for rate-constrained search ordering ». Ecole de technologie supérieure (titulaire(s)). Brevet américain US 10,009,626.
Trudeau, Luc, Coulombe, Stéphane et Desrosiers, Christian.
2018.
« Cost-based search ordering for rate-constrained motion estimation applied to HEVC ».
IEEE Transactions on Broadcasting, vol. 64, nº 4.
pp. 922-932. Trudeau, Luc, Coulombe, Stéphane et Desrosiers, Christian (inventeurs) 9 mars 2021. « Methods and systems for determining motion vectors in a motion estimation process of a video encoder ». École de technologie supérieure (titulaire(s)). Brevet américain US 10,944,986.
Trudeau, Luc, Coulombe, Stéphane et Desrosiers, Christian.
2020.
« Multi-level rate-constrained successive elimination algorithm tailored to suboptimal motion estimation in HEVC ».
Signal Processing: Image Communication, vol. 81.
Ulagaoozhian, Chandramouly et Duchaine, Vincent.
2022.
« A novel human-safe robotic gripper: An application of a programmable permanent magnet actuator ».
In IEEE International Conference on Intelligent Robots and Systems (Kyoto, Japan, Oct. 23-27, 2022)
pp. 4646-4652.
Institute of Electrical and Electronics Engineers Inc..
Valois, Jean-Philippe, Côté, Myriam et Cheriet, Mohamed.
2001.
« Online recognition of sketched electrical diagrams ».
In Sixth International Conference on Document Analysis and Recognition (Seattle, WA, USA, Sept. 10-13, 2001)
pp. 460-464.
Los Aalmitos, CA, USA : Institute of Electrical and Electronics Engineers Computer Society.
Van Waerebeke, Martin, Lodygensky, Gregory et Dolz, Jose.
2022.
« On the pitfalls of entropy-based uncertainty for multi-class semi-supervised segmentation ».
In Uncertainty for Safe Utilization of Machine Learning in Medical Imaging : 4th International Workshop, UNSURE 2022, Held in Conjunction with MICCAI 2022 : Proceedings (Singapore, Singapore, Sept. 18, 2022)
Coll. « Lecture Notes in Computer Science », vol. 13563.
pp. 36-46.
Springer Science and Business Media Deutschland GmbH.
Veilleux, Olivier, Boudiaf, Malik, Piantanida, Pablo et Ben Ayed, Ismail.
2021.
« Realistic evaluation of transductive few-shot learning ».
In Advances in Neural Information Processing Systems 34 (NeurIPS 2021) (Sydney, Australia, Dec. 06-14, 2021)
pp. 9290-9302.
Neural information processing systems foundation.
Vellasques, E., Oliveira, L.S., Britto Jr, A. S., Koerich, A. L. et Sabourin, Robert.
2006.
« Modeling segmentation cuts using support vector machines ».
In 10th International Workshop on Frontiers in Handwriting Recognition (IWFHR) (La Baule, France, Oct. 23-26, 2006)
pp. 41-46.
Vellasques, E., Oliveira, Luiz S., Britto, Alceu de Souza, Koerich, Alessandro L. et Sabourin, Robert.
2008.
« Filtering segmentation cuts for digit string recognition ».
Pattern Recognition, vol. 41, nº 10.
pp. 3044-3053.
Vellasques, E., Sabourin, Robert et Granger, Éric.
2013.
« Fast intelligent watermarking of heterogeneous image streams through mixture modeling of PSO populations ».
Applied Soft Computing, vol. 13, nº 6.
pp. 3130-3148.
Vellasques, Eduardo , Sabourin, Robert et Granger, Éric.
2010.
« Intelligent watermarking of document images as a dynamic optimization problem ».
In 6th International Conference on Intelligent Information Hiding and Multimedia Signal Processing (IIH-MSP) (Darmstadt, Germany, Oct. 15-17, 2010)
pp. 139-142.
Los Alamitos, CA : Institute of Electrical and Electronics Engineers Computer Society.
Vellasques, Eduardo, Granger, Éric et Sabourin, Robert.
2010.
« Intelligent watermarking systems : a survey ».
In
Handbook of Pattern Recognition and Computer Vision.
4th ed.
pp. 687-724. Hackensack, NJ, USA : World Scientific Publishing.
Vellasques, Eduardo, Sabourin, Robert et Granger, Éric.
2016.
« A dual-purpose memory approach for dynamic particle swarm optimization of recurrent problems ».
In
Recent Advances in Computational Intelligence in Defense and Security.
Coll. « Studies in Computational Intelligence », Part III, vol. 621.
pp. 367-389. Springer International Publishing.
Vellasques, Eduardo, Sabourin, Robert et Granger, Éric.
2011.
« A high throughput system for intelligent watermarking of bi-tonal images ».
Applied Soft Computing, vol. 11, nº 8.
pp. 5215-5229.
Vellasques, Eduardo, Sabourin, Robert et Granger, Éric.
2013.
« DS-DPSO: A dual surrogate approach for intelligent watermarking of bi-tonal document image streams ».
Expert Systems with Applications, vol. 40, nº 13.
pp. 5240-5259.
Vellasques, Eduardo, Sabourin, Robert et Granger, Éric.
2012.
« Gaussian mixture modeling for dynamic particle swarm optimization of recurrent problems ».
In GECCO'12 : Proceedings of the fourteenth international conference on Genetic and evolutionary computation conference (Philadelphia, PA, USA, July 7-11, 2012)
pp. 73-80.
New York, N.Y. : Association for Computing Machinery.
Verduyckt, I., Cardinal, P., Loubnani, A. et Alpan, A..
2017.
« MyOrtho – A vocal coach application with visual feed-back for monitoring and storing of patient progress in a home environment ».
In 10th International Workshop Models and Analysis of Vocal Emissions for Biomedical Applications (Firenze, Italy, Dec. 13-15, 2017)
pp. 31-34.
Firenze University Press.
Viana, Talles B., Souza, Victor L. F., Oliveira, Adriano L. I., Cruz, Rafael M. O. et Sabourin, Robert.
2023.
« A multi-task approach for contrastive learning of handwritten signature feature representations ».
Expert Systems with Applications, vol. 217.
Viana, Talles B., Souza, Victor L. F., Oliveira, Adriano L. I., Cruz, Rafael M. O. et Sabourin, Robert.
2022.
« Contrastive learning of handwritten signature representations for writer-independent verification ».
In International Joint Conference on Neural Networks (IJCNN) (Padua, Italy, July 18-23, 2022)
IEEE.
Viana, Talles B., Souza, Victor L. F., Oliveira, Adriano L. I., Cruz, Rafael M. O. et Sabourin, Robert.
2024.
« Robust handwritten signature representation with continual learning of synthetic data over predefined real feature space ».
In Document Analysis and Recognition - ICDAR 2024 : 18th International Conference Proceedings, Part II (Athens, Greece, Aug. 30-Sept. 04, 2024)
Coll. « Lecture Notes in Computer Science », vol. 14805.
pp. 233-249.
Springer Science and Business Media Deutschland GmbH.
Vincent, N., Bouletreau, V., Faure, P., Emptoz, H. et Sabourin, R..
1997.
« Fractals and neurological methods in handwriting analysis ».
In Proceedings of the 8th IGS Conference in Genoa, Italy, 24-28 August 1997 (Genoa, Italy, Aug. 24-28, 1997)
pp. 105-107.
Vincent, Nicole, Bouletreau, Viviane, Emptoz, Hubert et Sabourin, Robert.
2000.
« How to use fractal dimensions to qualify writings and writers ».
Fractals : Complex Geometry Patterns and Scaling in Nature and Society, vol. 8, nº 1.
pp. 85-97.
Vriesman, Daniel, Britto, Alceu S., Zimmer, Alessandro, Koerich, Alessandro L. et Paludo, Rodrigo.
2019.
« Automatic visual inspection of thermoelectric metal pipes ».
Signal, Image and Video Processing, vol. 13, nº 5.
pp. 975-983.
Vriesman, Daniel, Britto Jr., Alceu S., Zimmer, Alessandro et Lameiras Koerich, Alessandro.
2019.
« Texture CNN for thermoelectric metal pipe image classification ».
In IEEE 31st International Conference on Tools with Artificial Intelligence (ICTAI) (Los Alamitos, CA, USA, Nov. 04-06, 2019)
pp. 569-574.
IEEE Computer Society.
Vriesmann, Leila M., Britto, Alceus S. Jr., Oliveira, Luiz S., Koerich, Alessandro L. et Sabourin, Robert.
2015.
« Combining overall and local class accuracies in an oracle-based method for dynamic ensemble selection ».
In 2015 International Joint Conference on Neural Networks (IJCNN) (Killarney, Ireland, July 12-17, 2015)
Piscataway, NJ, USA : IEEE.
Vriesmann, Leila Maria, Britto, Alceu de Souza, Oliveira, Luiz S., Sabourin, Robert et Ko, Albert Hung-Ren.
2010.
« Using additional neighborhood information in a dynamic ensemble selection method : improving the KNORA approach ».
In 17th International Conference on Systems, Signals and Image Processing (IWSSIP) (Rio de Janeiro, Brazil, June 17-19, 2010)
Vriesmann, Leila Maria, De Souza Britto Jr, Alceu, De Oliveira, Luiz Eduardo Soares, Sabourin, Robert et Ko, Albert Houng-Ren.
2012.
« Improving a dynamic ensemble selection method based on oracle information ».
International Journal of Innovative Computing and Applications, vol. 4, nº 3-4.
pp. 184-200.
Wachinger, Christian, Toews, Matthew, Langs, Georg, Wells, William et Golland, Polina.
2020.
« Keypoint transfer for fast whole-body segmentation ».
IEEE Transactions on Medical Imaging, vol. 39, nº 2.
pp. 273-282.
Waligora, Paul, Haseeb Aslam, Muhammad, Zeeshan, Muhammad Osama, Belharbi, Soufiane, Koerich, Alessandro Lameiras, Pedersoli, Marco, Bacon, Simon et Granger, Eric.
2024.
« Joint multimodal transformer for emotion recognition in the wild ».
In IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (Seattle, WA, USA, June 17-18, 2024)
pp. 4625-4635.
IEEE Computer Society.
Walmsley, Felipe N., Cavalcanti, George D. C., Oliveira, Dayvid V. R., Cruz, Rafael M. O. et Sabourin, Robert.
2018.
« An ensemble generation method based on instance hardness ».
In 2018 International Joint Conference on Neural Networks (IJCNN) (Rio de Janeiro, Brazil, July 08-13, 2018)
Piscataway, NJ, USA : IEEE.
Walmsley, Felipe N., Cavalcanti, George D. C., Sabourin, Robert et Cruz, Rafael M. O..
2022.
« An investigation into the effects of label noise on Dynamic Selection algorithms ».
Information Fusion, vol. 80.
pp. 104-120.
Wang, Li, Nie, Dong, Guannan, Li, Puybareau, Élodie, Dolz, Jose, Zhang, Qian, Wang, Fan, Xia, Jing, Wu, Zhengwang, Chen, Jia-Wei, Thung, Kim-Han, Bui, Toan Duc, Shin, Jitae, Zeng, Guodong, Zheng, Guoyan, Fonov, Vladimir S., Doyle, Andrew, Xu, Yongchao, Moeskops, Pim, Pluim, Josien P. W., Desrosiers, Christian, Ben Ayed, Ismail, Sanroma, Gerard, Benkarim, Oualid M., Casamitjana, Adrià, Vilaplana, Verónica, Lin, Weili, Li, Gang et Shen, Dinggang.
2019.
« Benchmark on automatic six-month-old infant brain segmentation algorithms: the iSeg-2017 challenge ».
IEEE Transactions on Medical Imaging, vol. 38, nº 9.
pp. 2219-2230.
Wang, Ping, Peng, Jizong, Pedersoli, Marco, Zhou, Yuan-Feng, Zhang, Cai-Ming et Desrosiers, Christian.
2023.
« CAT: Constrained adversarial training for anatomically-plausible semi-supervised segmentation ».
IEEE Transactions on Medical Imaging, vol. 42, nº 8.
pp. 2146-2161.
Wang, Ping, Peng, Jizong, Pedersoli, Marco, Zhou, Yuanfeng, Zhang, Caiming et Desrosiers, Christian.
2021.
« Context-aware virtual adversarial training for anatomically-plausible segmentation ».
In Medical Image Computing and Computer Assisted Intervention – MICCAI 2021: 24th International Conference, Strasbourg, France, September 27–October 1, 2021, Proceedings, Part I (Strasbourg, France, Sept. 27-Oct. 01, 2021)
Coll. « Lecture Notes in Computer Science », vol. 12901.
pp. 304-314.
Springer Science and Business Media Deutschland GmbH.
Wang, Ping, Peng, Jizong, Pedersoli, Marco, Zhou, Yuanfeng, Zhang, Caiming et Desrosiers, Christian.
2021.
« Self-paced and self-consistent co-training for semi-supervised image segmentation ».
Medical Image Analysis, vol. 73.
Wang, Ping, Peng, Jizong, Pedersoli, Marco, Zhou, Yuan-Feng, Zhang, Cai-Ming et Desrosiers, Christian.
2023.
« Shape-aware joint distribution alignment for cross-domain image segmentation ».
IEEE Transactions on Medical Imaging, vol. 42, nº 8.
pp. 2338-2347.
Wang, Shanshan, Li, Cheng, Wang, Rongpin, Liu, Zaiyi, Wang, Meiyun, Tan, Hongna, Wu, Yaping, Liu, Xinfeng, Sun, Hui, Yang, Rui, Liu, Xin, Chen, Jie, Zhou, Huihui, Ben Ayed, Ismail et Zheng, Hairong.
2021.
« Annotation-efficient deep learning for automatic medical image segmentation ».
Nature Communications, vol. 12, nº 1.
Wang, Xihan, Feng, Xiaoyi, Xia, Zhaoqiang, Peng, Jinye et Granger, E..
2017.
« Multi-orientation scene text detection leveraging background suppression ».
In 9th International Conference on Image and Graphics, ICIG 2017; Shanghai; China; 13 September 2017 through 15 September 2017 (Shanghai, China, Sept. 13-15, 2017)
Coll. « Lecture Notes in Computer Science », vol. 10666.
pp. 555-566.
Springer.
Wassermann, Demian, Toews, Matthew, Niethammer, Marc et Wells III, William M..
2014.
« Probabilistic diffeomorphic registration: representing uncertainty ».
In Biomedical Image Registration : 6th International Workshop, WBIR 2014, London, UK, July 7-8, 2014. Proceedings (London, UK, July 7-8, 2014)
Coll. « Lecture Notes in Computer Science », vol. 8545.
pp. 72-82.
Springer International Publishing.
Watt, Ayden, Lee, James, Toews, Matthew et Gilardino, Mirko S..
2023.
« Smartphone integration of artificial intelligence for automated plagiocephaly diagnosis ».
Plastic and Reconstructive Surgery - Global Open, vol. 11, nº 5.
Wei, Guangshun, Ma, Long, Wang, Chen, Desrosiers, Christian et Zhou, YuanFeng.
2021.
« Multi-task joint learning of 3D keypoint saliency and correspondence estimation ».
Computer-Aided Design, vol. 141.
Wiggers, K. L., Britto, A. S., Heutte, L., Koerich, A. L. et Oliveira, L. S..
2019.
« Image retrieval and pattern spotting using siamese neural network ».
In Proceedings of the International Joint Conference on Neural Networks (Budapest, Hungary, July 14-19, 2019)
Institute of Electrical and Electronics Engineers Inc..
Wiggers, Kelly L., Britto, Alceu S., Heutte, Laurent, Koerich, Alessandro L. et Oliveira, Luiz Eduardo S..
2018.
« Document image retrieval using deep features ».
In 2018 International Joint Conference on Neural Networks (IJCNN 2018) (Rio de Janeiro, Brazil, July 08-13, 2018)
Piscataway, NJ, USA : IEEE.
Wong, Tony et Bigras, Pascal.
2003.
« Structured controller design with evolutionary optimization ».
In International Conference on Artificial Intelligence and Applications (Benalmádena, Spain, Sept. 8-10, 2003)
pp. 163-168.
ACTA Press.
Wong, Tony, Bigras, Pascal et Cervera, D..
2005.
« A software application for visualizing and understanding hydraulic and pneumatic networks ».
Computer Applications in Engineering Education, vol. 13, nº 3.
pp. 169-180.
Wong, Tony, Bigras, Pascal et Cervera, Daniel.
2002.
« A software tool for understanding nonlinear phenomena in hydraulic and pneumatic systems ».
In 2002 ASEE Annual Conference and Exposition: Vive L'ingénieur (Montreal, QC, Canada, June 16-19, 2002)
American Society for Engineering Education.
Wong, Tony, Bigras, Pascal et Cervera, Daniel.
2001.
« Hydraulic and pneumatic system simulation: Design and applications ».
In The 26th annual congress of the American Romanian Academy of Arts and Sciences (ARA) : Montréal, Québec, Canada, July 25-29, 2001 : proceedings (Montreal, QC, Canada, July 25-29, 2001)
pp. 439-444.
Polytechnic International Press.
Wong, Tony, Bigras, Pascal et Cervera, Daniel.
2001.
« Hydro+pneu: A quasi realtime hydraulic and pneumatic system simulation package ».
In Proceedings of the 29th International Conference on Computers and Industrial Engineering (Montreal, QC, Canada, Nov. 1-3, 2001)
pp. 602-607.
Montréal : Université du Québec, École de technologie supérieure.
Wong, Tony, Bigras, Pascal et De Kelper, Bruno.
2005.
« A multi-neighborhood and multi-operator strategy for the uncapacitated exam proximity problem ».
In IEEE International Conference on Systems, Man and Cybernetics (SMC) (Hawaii, USA, Oct.10-12, 2005)
pp. 3810-3816.
Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers.
Wong, Tony, Bigras, Pascal et Khayati, Karim.
2002.
« Causality assignment using multi-objective evolutionary algorithms ».
In IEEE International Conference on Systems, Man and Cybernetics (Hammamet, Tunisia, Oct. 6-9, 2002)
pp. 36-41.
Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers.
Wong, Tony et Cormier, Gilles.
2007.
« Bond graph causality assignment and evolutionary multi-objective optimization ».
In Advances and Innovations in Systems, Computing Sciences and Software Engineering, Dec. 4-14, 2006)
pp. 433-438.
Springer Netherlands.
Wong, Tony, Côté, Pascal et Gely, Paul.
2002.
« Final exam timetabling : a practical approach ».
In Canadian Conference on Electrcial and Computer Engineering (Winnipeg, Canada, May 12-15, 2002)
pp. 726-731.
Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers.
Wong, Tony, Côté, Pascal et Sabourin, Robert.
2004.
« A hybrid MOEA for the capacitated exam proximity problem ».
In Congress on Evolutionary Computation (CEC) (Portland, OR, USA, June 19-23, 2004)
pp. 1495-1501.
Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers.
Wong, Tony, De Kelper, Bruno et Bigras, Pascal.
2006.
« Structured controller design using evolution strategies : a computational analysis ».
In IEEE International Symposium on Industrial Electronics (ISIE) (Montreal, Canada, Jul. 9-13, 2006)
pp. 2984-2989.
Piscataway, NJ, USA : Institute of Electrical and Electronics Engineers.
Wong, Tony, Houle, J.-L. et Botez, Ruxandra.
2000.
« Complexity of a class of task scheduling problems ».
Libertas Mathematica, vol. 20.
pp. 131-140.
Wu, Yihang, Desrosiers, Christian et Chaddad, Ahmad.
2024.
« FACMIC: Federated Adaptative CLIP Model for Medical Image Classification ».
In Medical Image Computing and Computer Assisted Intervention – MICCAI 2024 : 27th International Conference, Proceedings, Part XII (Marrakesh, Morocco, Oct. 06-10, 2024)
Coll. « Lecture Notes in Computer Science », vol. 15012.
pp. 531-541.
Springer.
Xiangyun, Ye, Cheriet, Mohamed et Suen, Ching Y..
2001.
« A generic method of cleaning and enhancing handwritten data from business forms ».
International Journal on Document Analysis and Recognition, vol. 4, nº 2.
pp. 84-96.
Xiangyun, Ye, Cheriet, Mohamed et Suen, Ching Y..
2001.
« Stroke-model-based character extraction from gray-level document images ».
IEEE Transactions on Image Processing, vol. 10, nº 8.
pp. 1152-1161.
Xiaoting, Wu, Granger, Éric, Kinnunen, Tomi H., Xiaoyi, Feng et Hadid, Abdenour.
2019.
« Audio-visual kinship verification in the wild ».
In International Conference on Biometrics (ICB) (Crete, Greece, June 04-07, 2019)
Piscataway, NJ, USA : IEEE.
Xu, Xiaopan, Zhang, Xi, Tian, Qian, Wang, Huanjun, Cui, Long-Biao, Li, Shurong, Tang, Xing, Li, Baojun, Dolz, Jose, Ben Ayed, Ismail, Liang, Zhengrong, Yuan, Jing, Du, Peng, Lu, Hongbing et Liu, Yang.
2019.
« Quantitative identification of nonmuscle-invasive and muscle-invasive bladder carcinomas: a multiparametric MRI radiomics analysis ».
Journal of Magnetic Resonance Imaging, vol. 49, nº 5.
pp. 1489-1498.
Xu, Yifan, Shamsolmoali, Pourya, Granger, Eric, Nicodeme, Claire, Gardes, Laurent et Yang, Jie.
2023.
« TransVLAD: Multi-scale attention-based global descriptors for visual geo-localization ».
In IEEE Winter Conference on Applications of Computer Vision, WACV (Waikoloa, HI, USA, Jan. 02-07, 2023)
pp. 2839-2848.
Institute of Electrical and Electronics Engineers Inc..
Yaméogo, Banti Laure M., Charlton, Douglas W., Doucet, David, Desrosiers, Christian, O' Sullivan, Maurice et Tremblay, Christine.
2020.
« Trends in optical span loss detected using the time series decomposition method ».
Journal of Lightwave Technology, vol. 38, nº 18.
pp. 5026-5035.
Yaméogo, Banti Laure Mathilde, Charlton, Douglas W., Doucet, David, Desrosiers, Christian, O' Sullivan, Maurice et Tremblay, Christine.
25 janvier 2021.
« Detecting Performance Degradation in Fiber-Optic Cables ».
[Article de recherche]. Substance ÉTS.
Yaméogo, Banti Laure Mathilde, Charlton, Douglas W., Doucet, David, Desrosiers, Christian, O' Sullivan, Maurice et Tremblay, Christine.
25 janvier 2021.
« Détection de dégradations de performance dans les câbles de fibre optique ».
[Article de recherche]. Substance ÉTS.
Yang, Chun-Chieh, Prasher, Shiv O., Landry, Jacques-Andre et Ramaswamy, Hosahalli S..
2003.
« Development of a herbicide application map using artificial neural networks and fuzzy logic ».
Agricultural Systems, vol. 76, nº 2.
pp. 561-574.
Yang, Chun-Chieh, Prasher, ShivO, Landry, Jacques-André et Ramaswamy, Hosahalli S..
2003.
« Development of an image processing system and a fuzzy algorithm for site-specific herbicide applications ».
Precision Agriculture, vol. 4, nº 1.
pp. 5-18.
Yazdanpanah, M., Rahman, A. A., Chaudhary, M., Desrosiers, C., Havaei, M., Belilovsky, E. et Kahou, S. E..
2022.
« Revisiting learnable affines for batch norm in few-shot transfer learning ».
In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (New Orleans, LA, USA, June 18-24, 2022)
pp. 9099-9108.
Piscataway, NJ, USA : IEEE.
Ye, Xiangyun, Cheriet, Mohamed et Suen, Ching Y..
2001.
« A framework of combining numeric string recognizers ».
In 6th International Conference on Document Analysis and Recognition (Seattle, WA, USA, Sept. 10-13, 2001)
pp. 716-720.
Los Aalmitos, CA, USA : Institute of Electrical and Electronics Engineers Computer Society.
Ye, Xiangyun, Cheriet, Mohamed et Suen, Ching Y..
1999.
« Model-based character extraction from complex backgrounds ».
In Proceedings of the Fifth International Conference on Document Analysis and Recognition (Bangalore, India, Sept. 20-22, 1999)
pp. 511-514.
Los Alamitos, CA, USA : Institute of Electrical and Electronics Engineers Computer Society.
Ye, Xiangyun, Cheriet, Mohamed et Suen, Ching Y..
2002.
« StrCombo : combination of string recognizers ».
Pattern Recognition Letters, vol. 23, nº 4.
pp. 381-394.
Ye, Xiangyun, Cheriet, Mohamed, Suen, Y. Ching et Liu, Ke.
1999.
« Extraction of bankcheck items by mathematical morphology ».
International Journal on Document Analysis and Recognition, vol. 2, nº 2.
pp. 53-66. Ye, Xiangyun, Suen, Ching Y., Cheriet, Mohamed et Wang, Eugenia. 1999. « A recent development in image analysis of electrophoresis gels ». Affiche présentée lors de la conférence : Vision Interface '99, Trois-Rivières, Canada, 19-21 May (Trois-Rivières, QC, Canada, May 19-21, 1999).
Ye, Xiangyun, Suen, Ching et Cheriet, Mohamed.
2000.
« A generic system to extract and clean handwritten data from business forms ».
In 7th International Workshop on Frontiers in Handwriting Recognition : September 11-13, 2000, Amsterdam, the Netherlands : proceedings (Amsterdam, Netherlands, Sept. 11-13, 2000)
pp. 63-72.
Nijmefen : International Unipen Foundation.
Yoo, Hoi J., Crevier, Daniel, Lepage, Richard et Myler, Harley R..
1994.
« Line drawing extraction from gray level images by feature integration ».
In Intelligent Robots and Computer Vision Xiii: Algorithms and Computer Vision (Boston, MA, USA, Oct. 31-Nov 2, 1994)
Coll. « Proceedings of SPIE », vol. 2353.
pp. 96-107.
USA : SPIE.
Yousefi, Somaiieh, Chouman, Hussein, Djukic, Petar, Golaghazadeh, Firouzeh, Tremblay, Christine et Desrosiers, Christian.
2023.
« Forecasting lightpath quality of transmission and implementing uncertainty in the forecast models ».
Journal of Lightwave Technology, vol. 41, nº 15.
pp. 4871-4881.
Yüksel, D., Goldstone, A., Prouty, D., Forouzanfar, M., Claudatos, S., Lee, Q., Wang, R., Dulai, T., Arra, N., Volpe, L., Durley, I., Baker, F. et de Zambotti, M..
2020.
« 0916 The Use of Immersive Virtual Reality and Slow Breathing to Enhance Relaxation and Sleep in Adolescents ».
[Résumé d'une communication à une conférence]. Sleep, vol. 43, nº Suppl. 1.
A348.
Yuksel, Dilara, Baker, Fiona C., Goldstone, Aimee, Claudatos, Stephanie A., Forouzanfar, Mohamad, Prouty, Devin E., Colrain, Ian M. et de Zambotti, Massimiliano.
2021.
« Stress, sleep, and autonomic function in healthy adolescent girls and boys: Findings from the NCANDA study ».
Sleep Health, vol. 7, nº 1.
pp. 72-78.
Yuksel, Dilara, Khajehpiri, Boshra, Forouzanfar, Mohamad, Kiss, Orsolya, Prouty, Devin E., Arra, Nicole, Volpe, Laila, Baker, Fiona C. et de Zambotti, Massimiliano.
2023.
« Physiological responses to acute psychosocial stress in adolescents with insomnia ».
Sleep, vol. 46, nº suppl. 1.
A70.
Yüksel, Dilara, Smith, Ellen, Lim, Yun Qi, Goldstone, Aimee, Claudatos, Stephanie, Forouzanfar, Mohamad, Alschuler, Vanessa, Gil, Maureen, Colrain, Ian M., Prouty, Devin, Zambotti, Massimiliano de et Baker, Fiona.
2019.
« 0112 First night effect on sleep and heart rate in adolescent boys and girls: Findings from the NCANDA study ».
[Résumé d'une communication à une conférence]. Sleep, vol. 42, nº Suppl. 1.
A46.
Zaag, Mahdi, Botez, Ruxandra Mihaela et Wong, Tony.
2019.
« CESSNA citation X engine model identification using neural networks and extended great deluge algorithms ».
INCAS Bulletin, vol. 11, nº 2.
pp. 195-207.
Zambelis, A., Saadati, M., Dallago, G. M., Stecko, P., Boyer, V., Parent, J. P., Pedersoli, M. et Vasseur, E..
2021.
« Automation of video-based location tracking tool for dairy cows in their housing stalls using deep learning ».
Smart Agricultural Technology, vol. 1.
Zeeshan, Muhammad Osama, Aslam, Muhammad Haseeb, Belharbi, Soufiane, Koerich, Alessandro Lameiras, Pedersoli, Marco, Bacon, Simon et Granger, Eric G..
2024.
« Subject-based domain adaptation for facial expression recognition ».
In IEEE 18th International Conference on Automatic Face and Gesture Recognition (FG) (Istanbul, Turkey, May 27-31, 2024)
Institute of Electrical and Electronics Engineers Inc..
Zhang, Mingli et Desrosiers, Christian.
2019.
« High-quality image restoration using low-rank patch regularization and global structure sparsity ».
IEEE Transactions on Image Processing, vol. 28, nº 2.
pp. 868-879.
Zhang, Mingli et Desrosiers, Christian.
2017.
« Image completion with global structure and weighted nuclear norm regularization ».
In 2017 International Joint Conference on Neural Networks (IJCNN) (Anchorage, AK, USA, May 14-19, 2017)
pp. 4187-4193.
Piscataway, NJ, USA : IEEE.
Zhang, Mingli et Desrosiers, Christian.
2017.
« Image denoising based on sparse representation and gradient histogram ».
IET Image Processing, vol. 11, nº 1.
pp. 54-63.
Zhang, Mingli et Desrosiers, Christian.
2018.
« Structure preserving image denoising based on low-rank reconstruction and gradient histograms ».
Computer Vision and Image Understanding, vol. 171.
pp. 48-60.
Zhang, Mingli, Desrosiers, Christian, Guo, Yuhong, Khundrakpam, Budhachandra, Al-Sharif, Noor, Kiar, Greg, Valdes-Sosa, Pedro, Poline, Jean-Baptiste et Evans, Alan.
2020.
« Brain status modeling with non-negative projective dictionary learning ».
NeuroImage, vol. 206.
Zhang, Mingli, Desrosiers, Christian et Zhang, Caiming.
2018.
« Atlas-based reconstruction of high performance brain MR data ».
Pattern Recognition, vol. 76.
pp. 549-559.
Zhang, Mingli, Desrosiers, Christian et Zhang, Caiming.
2017.
« Effective compressive sensing via reweighted total variation and weighted nuclear norm regularization ».
In IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP) (New Orleans, LA, USA, Mar. 05-09, 2017)
pp. 1802-1806.
IEEE.
Ziko, I. M., Yuan, J., Grangers, E., Ben Ayed, I. et Assoc Advancement Artificial, Intelligence.
2021.
« Variational fair clustering ».
In 35th AAAI Conference on Artificial Intelligence / 33rd Conference on Innovative Applications of Artificial Intelligence / 11th Symposium on Educational Advances in Artificial Intelligence (En ligne, Feb. 02-09, 2021)
Coll. « AAAI Conference on Artificial Intelligence », vol. 35.
pp. 11202-11209.
Association for the Advancement of Artificial Intelligence.
Ziko, Imtiaz Masud, Dolz, Jose, Granger, Eric et Ben Ayed, Ismail.
2020.
« Laplacian regularized few-shot learning ».
In 37th International Conference on Machine Learning (ICML) (En ligne, July 12-18, 2020)
pp. 11596-11606.
Ziko, Imtiaz Masud, Granger, Eric et Ben Ayed, Ismail.
2018.
« Scalable Laplacian K-modes ».
In Advances in Neural Information Processing Systems 31 (NeurIPS 2018) (Montreal, QC, Canada, Dec. 02-08, 2018)
pp. 10041-10051.
La Jolla : Neural Information Processing Systems (NIPS).
Zyblewski, Pawel, Sabourin, Robert et Woniak, Michal.
2020.
« Data preprocessing and dynamic ensemble selection for imbalanced data stream classification ».
In 19th Joint European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, ECML PKDD 2019, September 16, 2019 - September 20, 2019 (Würzburg, Germany, Sept. 16-20, 2019)
Coll. « Communications in Computer and Information Science », vol. 1168.
pp. 367-379.
Springer.
Zyblewski, Pawel, Sabourin, Robert et Woniak, Michal.
2021.
« Preprocessed dynamic classifier ensemble selection for highly imbalanced drifted data streams ».
Information Fusion, vol. 66.
pp. 138-154. |
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