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La vitrine de diffusion des publications et contributions des chercheurs de l'ÉTS
RECHERCHER

Le groupe de recherche est "LIVIA - Laboratoire d'imagerie, de vision et d'intelligence artificielle"

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Nombre de documents archivés : 1362.

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.
Compte des citations dans Scopus : 195.

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.
Compte des citations dans Scopus : 1.

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.
Compte des citations dans Scopus : 20.

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.
Compte des citations dans Scopus : 12.

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.
Compte des citations dans Scopus : 8.

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.
Compte des citations dans Scopus : 6.

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.
Compte des citations dans Scopus : 10.

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.
Compte des citations dans Scopus : 8.

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.
Compte des citations dans Scopus : 37.

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.
Compte des citations dans Scopus : 4.

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. 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.
Compte des citations dans Scopus : 4.

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.
Compte des citations dans Scopus : 32.

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.
Compte des citations dans Scopus : 13.

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.
Compte des citations dans Scopus : 69.

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.
Compte des citations dans Scopus : 4.

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.
Compte des citations dans Scopus : 53.

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.
Compte des citations dans Scopus : 83.

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..
Compte des citations dans Scopus : 13.

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.
Compte des citations dans Scopus : 60.

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.
Compte des citations dans Scopus : 104.

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.
Compte des citations dans Scopus : 5.

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.
Compte des citations dans Scopus : 5.

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.
Compte des citations dans Scopus : 5.

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.
Compte des citations dans Scopus : 1.

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.
Compte des citations dans Scopus : 16.

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, Hervé. 2020. « Manifold-aware CycleGAN for high-resolution structural-to-DTI synthesis ». In MICCAI 2020 Workshop on Computational Diffusion MRI (En ligne, Oct. 08, 2020)

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.
Compte des citations dans Scopus : 5.

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.
Compte des citations dans Scopus : 11.

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.
Compte des citations dans Scopus : 9.

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.
Compte des citations dans Scopus : 11.

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.
Compte des citations dans Scopus : 2.

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.
Compte des citations dans Scopus : 3.

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.
Compte des citations dans Scopus : 7.

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.
Compte des citations dans Scopus : 1.

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.
Compte des citations dans Scopus : 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.
Compte des citations dans Scopus : 48.

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.
Compte des citations dans Scopus : 10.

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.
Compte des citations dans Scopus : 163.

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.
Compte des citations dans Scopus : 18.

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.
Compte des citations dans Scopus : 22.

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.
Compte des citations dans Scopus : 12.

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.
Compte des citations dans Scopus : 36.

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.
Compte des citations dans Scopus : 3.

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.
Compte des citations dans Scopus : 9.

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.
Compte des citations dans Scopus : 28.

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.
Compte des citations dans Scopus : 61.

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.
Compte des citations dans Scopus : 10.

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.
Compte des citations dans Scopus : 9.

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.
Compte des citations dans Scopus : 10.

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.
Compte des citations dans Scopus : 21.

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..
Compte des citations dans Scopus : 1.

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.
Compte des citations dans Scopus : 22.

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.
Compte des citations dans Scopus : 3.

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.
Compte des citations dans Scopus : 1.

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.
Compte des citations dans Scopus : 11.

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.
Compte des citations dans Scopus : 50.

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.
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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.
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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.
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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.
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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.
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Bashir, M., Zonzini, N., Martel, S. L., Botez, R. M., Ceruti, A. et Wong, T.. 2023. « Numerical investigation of the dynamic stall reduction on the UAS-S45 aerofoil using the optimised aerofoil method ». Aeronautical Journal.
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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..
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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..
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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.
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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.
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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.
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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 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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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. 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.
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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.
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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.
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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..
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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, 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.
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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..
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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..
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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.
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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.

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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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Dahmani, Jawad, Petit, Yvan et Laporte, Catherine. 2023. « Quantitative validation of two model-based methods for the correction of probe pressure deformation in ultrasound ». International Journal of Computer Assisted Radiology and Surgery.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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..
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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.
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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..
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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.
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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.
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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.
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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.
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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.
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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.
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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, 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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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Deng, Shengziang, Ben Ayed, Ismail et Sun, Hongpeng. 2024. « A preconditioned alternating minimization framework for nonconvex and half quadratic regularization ». Inverse Problems and Imaging.
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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.
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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.
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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.
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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.
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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.
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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, 2018) Coll. « Lecture Notes in Computer Science », vol. 11383. pp. 271-282. Cham, Switzerland : Springer.
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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.
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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.
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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 28-20, 2021) Coll. « Lecture Notes in Computer Science », vol. 12729. pp. 517-529. Springer.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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..
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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.
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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.
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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.

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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.
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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.
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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.

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Ekladious, George, Sabourin, Robert et Granger, Eric. 2017. « Learning global-local distance metrics for signature-based biometric cryptosystems ». Cryptography, vol. 1, nº 3.
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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.
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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.
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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).

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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.
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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.
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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.. 2023. « Fault distance estimation for transmission lines with dynamic regressor selection ». Neural Computing & Applications.
(Sous presse)

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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.

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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.
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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.
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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.
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(Sous presse)

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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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Koerich, Alessandro L., Sabourin, Robert et Suen, C. Y.. 2003. « Large vocabulary off-line handwriting recognition : a survey ». Pattern Analysis & Applications, vol. 6, nº 2. pp. 97-121.
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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.

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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.
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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.
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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.
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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..
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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.
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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..
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Roshanfar, Melika, Ghiami Azad, Amir Reza et Forouzanfar, Mohamad. 2023. « Predicting fatigue life of shear connectors in steel-concrete composite bridges using artificial intelligence techniques ». Fatigue and Fracture of Engineering Materials and Structures.
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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. 228. 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.

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.
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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.
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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.
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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.
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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.
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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).
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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.
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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.
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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.
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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.
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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.
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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.
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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.

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.
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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..
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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.
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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.
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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.
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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.
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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.
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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.
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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.
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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, Mohamed, 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.
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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.
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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.

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.
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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.
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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.
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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, 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.
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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.
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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..
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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.
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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.
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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.
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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.
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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..
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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..
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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.
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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.
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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.
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