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L'affiliation est "Génie logiciel et des technologies de l'information"Aller à Abran, Alain | Aissaoui, Rachid | Andrews, Sheldon | Aïvodji, Ulrich | Ben Ayed, Ismail | Benzarti, Imen | Bordeleau, Francis | Bouix, Sylvain | Cardinal, Patrick | Coallier, François | Coulombe, Stéphane | Desrosiers, Christian | Dias de Assuncao, Marcos | Dolz, José | Drouin, Simon | Duong, Luc | Dziong, Zbigniew | Ebrahimi-Kahou, Samira | El boussaidi, Ghizlane | Fuhrman, Christopher | Gagnon, François | Gagnon, Ghyslain | Gascon-Samson, Julien | Gherbi, Abdelouahed | Granger, Éric | Gruson, Adrien | Hallé, Stéphane | Jaafar, Waël | Kaddoum, Georges | Kara, Nadjia | Kpodjedo, Sègla Jean-Luc | Labbé, David | Lameiras Koerich, Alessandro | Langar, Rami | Leivadeas, Aris | Lombaert, Hervé | Lopez-Herrejon, Roberto E. | Lévesque, Vincent | McGuffin, Michael John | Menelau Cruz, Rafael | Moha, Naouel | Naboulsi, Diala | Ouni, Ali | Paquette, Eric | Pedersoli, Marco | Petrillo, Fabio | Ratté, Sylvie | Robert, Jean-Marc | Sabourin, Robert | Sayagh, Mohammed | Talhi, Chamseddine | Toews, Matthew | Tremblay, Christine | Vázquez, Carlos | Zhang, Gaixia | Zhang, Kaiwen | Zhani, Mohamed Faten | de Guise, Jacques A. Nombre de documents archivés : 295. Abran, Alain
Abdallah, Ammar, Abran, Alain et Villavicencio, Monica.
2022.
« Measurement solutions in the enterprise architecture literature: A metrology evaluation ».
Journal of Theoretical and Applied Information Technology, vol. 100, nº 9.
pp. 2935-2957.
Abran, Alain, Yurkov, Alexander V., Khalin, Vladimir G. et Shilova, Olga.
2022.
« Quantitative analysis of informational significance of SWEBOK knowledge areas in IEEE/ACM curriculum guidelines ».
In International Conference System Analysis in Engineering and Control (St. Petersburg, Russia, Oct. 22-23, 2021)
Coll. « Lecture Notes in Networks and Systems », vol. 442.
pp. 561-573.
Springer Science and Business Media Deutschland GmbH.
Elmidaoui, Sara, Cheikhi, Laila, Idri, Ali et Abran, Alain.
2022.
« Towards a taxonomy of software maintainability predictors: A detailed view ».
In Information Systems and Technologies : WorldCIST 2022 (Budva, Montenegro, Apr. 12-14, 2022)
Coll. « Lecture Notes in Networks and Systems », vol. 470.
pp. 202-210.
Springer Science and Business Media Deutschland GmbH.
Miloudi, Chaymae, Cheikhi, Laila, Abran, Alain et Idri, Ali.
2022.
« Maintenance effort estimation for open source software: Current trends ».
In CEUR Workshop Proceedings (Izmir, Turkey, Sept. 28-30, 2022)
CEUR-WS.
Miloudi, Chaymae, Cheikhi, Laila, Idri, Ali et Abran, Alain.
2022.
« The impact of instance selection algorithms on maintenance effort estimation for open-source software ».
In Information Systems and Technologies : WorldCIST 2022 (Budva, Montenegro, Apr. 12-14, 2022)
Coll. « Lecture Notes in Networks and Systems », vol. 470.
pp. 191-201.
Springer Science and Business Media Deutschland GmbH. Aissaoui, RachidLabbé, D. R. et Aissaoui, R.. 2022. « Les exosquelettes et la réalité virtuelle : Un nouveau défi pour l’aide à la locomotion pour les personnes à mobilité réduite ». Communication lors de la conférence : École d'été INTER, 2 juin 2022).
Vallageas, Valentin, Aissaoui, Rachid et Labbé, David.
2022.
« Virtual body alterations have real motor consequences ».
In International Conference on Virtual Rehabilitation (ICVR) (Rotterdam, Netherlands, July 26-28)
pp. 52-53.
The International Society for Virtual Rehabilitation. Vallageas, Valentin, Labbé, David et Aissaoui, Rachid. 2022. « Incarnation dans un corps virtuel morphologiquement asymétrique : Quels impacts sur les mouvements de l’utilisateur? ». Affiche numéro 103 présentée lors de la conférence : 4eme Congrès québécois de recherche en adaptation (REPAR) (Sherbrooke, QC, Canada, 3-4 juin 2022). Willaert, Iris, Aissaoui, Rachid, Nadeau, Sylvie, Duclos, Cyril et Labbé, David. 2022. « Perception of symmetry between actual and modulated self-avatar on gait movements during treadmill walking ». Affiche numéro 105 présentée lors de la conférence : 4e congrès québécois de recherche en adaptation-réadaptation (REPAR) (Sherbrooke, QC, Canada, 3-4 juin 2022).
Willaert, Iris, Aissaoui, Rachid, Nadeau, Sylvie, Duclos, Cyril et Labbe, David R..
2022.
« Perception of symmetry of actual and modulated self-avatar gait movements during treadmill walking ».
In IEEE Conference on Virtual Reality and 3D User Interfaces Abstracts and Workshops (VRW) (Christchurch, New Zealand, Mar. 12-16, 2022)
pp. 792-793.
Institute of Electrical and Electronics Engineers Inc.. Andrews, SheldonAgarwal, Pranav, Teichmann, Marek, Andrews, Sheldon et Ebrahimi-Kahou, Samira. 2022. « Automatic evaluation of excavator operators using learned reward functions ». Affiche présentée lors de la conférence : Reinforcement Learning for Real Life (RL4RealLife) Workshop (New Orleans, LA, USA, Dec. 03, 2022).
Andrews, Sheldon, Erleben, Kenny et Ferguson, Zachary.
2022.
« Contact and friction simulation for computer graphics ».
In SIGGRAPH '22: Special Interest Group on Computer Graphics and Interactive Techniques Conference : SIGGRAPH ’22 Courses (Vancouver, BC, Canada, Aug. 07-11, 2022)
Association for Computing Machinery, Inc. Feiz, H., Romeas, T., Charbonneau, M., Labbé, D. et Andrews, S.. 2022. « Motion capture of sport videos from sparse views ». Communication lors de la conférence : 17th annual SPort INnovation (SPIN) Summit (Richmond, BC, Canada, Dec. 07-09, 2022). Frezzato, A. et Andrews, S.. 2022. « Learning stylized get-up for physics-based characters ». Affiche présentée lors de la conférence : Graphics Interface (Montreal, QC, Canada, May 16-19, 2022).
Frezzato, A., Tangri, A. et Andrews, S..
2022.
« Synthesizing get-up motions for physics-based characters ».
Computer Graphics Forum, vol. 41, nº 8.
pp. 207-218. Liu, Y. et Andrews, S.. 2022. « Graph partitioning algorithms for rigid body simulations ». Affiche présentée lors de la conférence : Graphics Interface (Montreal, QC, Canada, May 16-19, 2022).
Liu, Yinchu et Andrews, Sheldon.
2022.
« Graph partitioning algorithms for rigid body simulations ».
In 43rd Annual Conference on European Association for Computer Graphics, EUROGRAPHICS 2022 (Reims, France, Apr. 25-29, 2022)
Coll. « EUROGRAPHICS, European Association for Computer Graphics Technical Report Series »
pp. 73-76.
Eurographics Association. Pelletier-Guenette, J. et Andrews, S.. 2022. « Automatic stitching of normal textures from a microgeometry scanner ». Affiche présentée lors de la conférence : Graphics Interface (Montreal, QC, Canada, May 16-19, 2022). Aïvodji, Ulrich
Aïvodji, Ulrich, Ferry, Julien, Gambs, Sébastien, Huguet, M. J. et Siala, M..
2022.
« Leveraging integer linear programming to learn optimal fair rule lists ».
In Integration of Constraint Programming, Artificial Intelligence, and Operations Research : 19th International Conference, CPAIOR 2022, Proceedings (Los Angeles, CA, USA, June 20-23, 2022)
Coll. « Lecture Notes in Computer Science », vol. 13292.
pp. 103-119.
Springer Science and Business Media Deutschland GmbH.
Batool, Zahra, Zhang, Kaiwen, Zhu, Zhongwen, Aravamuthan, Sarang et Aivodji, Ulrich.
2022.
« Block-FeST: A blockchain-based federated anomaly detection framework with computation offloading using transformers ».
In IEEE 1st Global Emerging Technology Blockchain Forum: Blockchain and Beyond, iGETblockchain (Irvine, CA, USA, Nov. 07-11, 2022)
Institute of Electrical and Electronics Engineers.
Dai, Jessica, Upadhyay, Sohini, Aivodji, Ulrich, Bach, Stephen H. et Lakkaraju, Himabindu.
2022.
« Fairness via explanation quality: Evaluating disparities in the quality of post hoc explanations ».
In AAAI/ACM Conference on AI, Ethics, and Society (Oxford, UK, Aug. 01-03, 2022)
pp. 203-214.
Association for Computing Machinery.
Shamsabadi, Ali Shahin, Yaghini, Mohammad, Dullerud, Natalie, Wyllie, Sierra, Aïvodji, Ulrich, Alryeh Mkean, Aisha Alaagib, Gambs, Sébastien et Papernot, Nicolas.
2022.
« Washing the unwashable : On the (Im)possibility of fairwashing detection ».
In Advances in Neural Information Processing Systems 35 (NeurIPS 2022) (New Orleans, LA, USA, Nov. 28-Dec. 09, 2022)
Ben Ayed, Ismail
Bateson, Mathilde, Kervadec, Hoel, Dolz, Jose, Lombaert, Hervé et Ben Ayed, Ismail.
2022.
« Source-free domain adaptation for image segmentation ».
Medical Image Analysis, vol. 82.
Bateson, Mathilde, 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.
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.
Galdran, A., Chakor, H., Kabir, W., Kobbi, R., Liu, B., Dolz, J. et Ben Ayed, I..
2022.
« An automatic deep learning-based system for screening and management of DME ».
[Résumé d'une communication à une conférence]. Diabetes Research and Clinical Practice, vol. 186, nº Suppl. 1.
pp. 4-5.
Galdran, Adrian, Anjos, André, Dolz, José, Chakor, Hadi, Lombaert, Hervé et Ben Ayed, Ismail.
2022.
« State-of-the-art retinal vessel segmentation with minimalistic models ».
Scientific Reports, vol. 12, nº 1.
Kervadec, H., Dolz, J., Yuan, J., Desrosiers, C., Granger, E. et Ben Ayed, I..
2022.
« Constrained deep networks: Lagrangian optimization via Log-barrier extensions ».
In 30th European Signal Processing Conference (EUSIPCO) (Belgrade, Serbia, Aug. 29-Sept. 02, 2022)
pp. 962-966.
European Signal Processing Conference, EUSIPCO.
Liu, Bingyuan, Ben Ayed, Ismail, Galdran, Adrian et Dolz, Jose.
2022.
« The devil is in the margin: Margin-based label smoothing for network calibration ».
In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (New Orleans, LA, USA, June 18-24, 2022)
pp. 80-88.
Benzarti, Imen
Koussani, Naoufel, Leshob, Abderrahmane, Hadaya, Pierre, Benzarti, Imen et Mili, Hafedh.
2022.
« Towards an agile approach for business process reengineering ».
In IEEE International Conference on e-Business Engineering, ICEBE (Bournemouth, United Kingdom, Oct. 14-16, 2022)
pp. 130-135.
Institute of Electrical and Electronics Engineers Inc.. Bordeleau, Francis
Eramo, Romina, Bordeleau, Francis, Combemale, Benoit, van Den Brand, Mark, Wimmer, Manuel et Wortmann, Andreas.
2022.
« Conceptualizing digital twins ».
IEEE Software, vol. 39, nº 2.
pp. 39-46.
Kienzle, J., Combemale, B., Mussbacher, G., Alam, O., Bordeleau, F., Burgueño, L., Engels, G., Galasso, J., Jezequel, J. M., Kemme, B., Mosser, S., Sahraoui, H., Schiedermeier, M. et Syriani, E..
2022.
« Global decision making over deep variability in feedback-driven software development ».
In 37th IEEE/ACM International Conference on Automated Software Engineering (Rochester, MN, USA, Oct. 10-14, 2022)
Coll. « ACM international conference proceeding series »
Association for Computing Machinery. Bouix, Sylvain
Di Biase, Maria A., Geaghan, Michael P., Reay, William R., Seidlitz, Jakob, Weickert, Cynthia Shannon, Pébay, Alice, Green, Melissa J., Quidé, Yann, Atkins, Joshua R., Coleman, Michael J., Bouix, Sylvain, Knyazhanskaya, Evdokiya E., Lyall, Amanda E., Pasternak, Ofer, Kubicki, Marek, Rathi, Yogesh, Visco, Andrew, Gaunnac, Megan, Lv, Jinglei, Mesholam-Gately, Raquelle I., Lewandowski, Kathryn E., Holt, Daphne J., Keshavan, Matcheri S., Pantelis, Christos, Öngür, Dost, Breier, Alan, Cairns, Murray J., Shenton, Martha E. et Zalesky, Andrew.
2022.
« Cell type-specific manifestations of cortical thickness heterogeneity in schizophrenia ».
Molecular Psychiatry, vol. 27, nº 4.
pp. 2052-2060.
Kaufmann, Elisabeth, Rojczyk, Philine, Sydnor, Valerie J., Guenette, Jeffrey P., Tripodis, Yorghos, Kaufmann, David, Umminger, Lisa, Seitz-Holland, Johanna, Sollmann, Nico, Rathi, Yogesh, Bouix, Sylvain, Fortier, Catherine B., Salat, David, Pasternak, Ofer, Hinds, Sidney R., Milberg, William P., McGlinchey, Regina E., Shenton, Martha E. et Koerte, Inga K..
2022.
« Association of War Zone–Related stress with alterations in limbic gray matter microstructure ».
JAMA Network Open, vol. 5, nº 9.
Millman, Zachary B., Hwang, Melissa, Sydnor, Valerie J., Reid, Benjamin E., Goldenberg, Joshua E., Talero, Jessica N., Bouix, Sylvain, Shenton, Martha E., Öngür, Dost et Shinn, Ann K..
2022.
« Auditory hallucinations, childhood sexual abuse, and limbic gray matter volume in a transdiagnostic sample of people with psychosis ».
Schizophrenia, vol. 8, nº 1.
Rushmore, R. Jarrett, Sunderland, Kyle, Carrington, Holly, Chen, Justine, Halle, Michael, Lasso, Andras, Papadimitriou, G., Prunier, N., Rizzoni, Elizabeth, Vessey, Brynn, Wilson-Braun, Peter, Rathi, Yogesh, Kubicki, Marek, Bouix, Sylvain, Yeterian, Edward et Makris, Nikos.
2022.
« Anatomically curated segmentation of human subcortical structures in high resolution magnetic resonance imaging: An open science approach ».
Frontiers in Neuroanatomy, vol. 16.
Rushmore, Richard Jarrett, Bouix, Sylvain, Kubicki, Marek, Rathi, Yogesh, Yeterian, Edward et Makris, Nikos.
2022.
« HOA2.0-ComPaRe: A next generation Harvard-Oxford Atlas comparative parcellation reasoning method for human and macaque individual brain parcellation and atlases of the cerebral cortex ».
Frontiers in Neuroanatomy, vol. 16.
Cardinal, Patrick
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..
Esmaeilpour, Mohammad, Cardinal, Patrick et Koerich, Alessandro Lameiras.
2022.
« From environmental sound representation to robustness of 2D CNN models against adversarial attacks ».
Applied Acoustics, vol. 195.
Esmaeilpour, Mohammad, Cardinal, Patrick et Koerich, Alessandro Lameiras.
2022.
« Towards robust speech-to-text adversarial attack ».
In 47th IEEE International Conference on Acoustics, Speech, and Signal Processing (Singapore, Singapore, May 23-27, 2022)
pp. 2869-2873.
Institute of Electrical and Electronics Engineers Inc..
Esmaeilpour, Mohammad, Cardinal, Patrick et Lameiras Koerich, Alessandro.
2022.
« Multidiscriminator sobolev defense-GAN against adversarial attacks for end-to-end speech systems ».
IEEE Transactions on Information Forensics and Security, vol. 17.
pp. 2044-2058.
Esmaeilpour, Mohammad, Chaalia, Nourhene, Abusitta, Adel, Devailly, Franois-Xavier, Maazoun, Wissem et Cardinal, Patrick.
2022.
« Bi-discriminator GAN for tabular data synthesis ».
Pattern Recognition Letters, vol. 159.
pp. 204-210.
Esmaeilpour, Mohammad, Chaalia, Nourhene et Cardinal, Patrick.
2022.
« RSD-GAN: Regularized sobolev defense GAN against speech-to-text adversarial attacks ».
IEEE Signal Processing Letters, vol. 29.
pp. 1998-2002.
Praveen, R. G., de Melo, W. C., Ullah, N., Aslam, H., Zeeshan, O., Denorme, T., Pedersoli, M., Koerich, A. L., Bacon, S., Cardinal, P. et Granger, E..
2022.
« A joint cross-attention model for audio-visual fusion in dimensional emotion recognition ».
In IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (New Orleans, LA, USA, June 19-20, 2022)
pp. 2485-2494.
Piscataway, NJ, USA : IEEE. Coallier, FrançoisCoallier, François. 2022. « An introduction to Bio-Digital convergence ». Communication lors de la conférence : IEC SEG 12 Webinar Bio-Digital Convergence Standardization (En ligne, Dec. 06-08, 2022). Coallier, François. 2022. « Bio-digital convergence ». Communication lors de la conférence : IEC Young Professionnal Workshop (San Francisco, CA, USA, Oct. 03, 2022). Coallier, François. 2022. « How JTC 1 standards contribute to a sustainable world ». Communication lors de la conférence : JTC 1 World Standards Day (En ligne, Oct. 12, 2022). Coallier, François. 2022. « IoT and Digital Twin standardization strategy in JTC 1/SC 41 ». Communication lors de la conférence : Market Dialog (En ligne, May 05, 2022).
Coallier, François.
2022.
« IoT standardization strategies in ISO/IEC JTC 1/SC 41 ».
In IEEE 8th World Forum on Internet of Things (WF-IoT) (Yokohama, Japan, Oct. 26-Nov. 11, 2022)
IEEE. Coallier, François. 2022. « IoT standardization strategies in ISO/IEC JTC 1/SC 41 ». Communication lors de la conférence : IEEE 8th World Forum on Internet of Things (WF-IoT) (Yokohama, Japan, Nov. 03, 2022). Coallier, François. 2022. « IoT standardization strategies in ISO/IEC JTC 1/SC 41 ». Communication lors de la conférence : IOTWeek (Dublin, Ireland, June 20-23, 2022). Coallier, François. 2022. « Standardization strategy in bio-digital convergence ». Communication lors de la conférence : 1st Bio-Digital Standardization Forum (South Korea, Nov. 03, 2022). Coallier, François. 2022. « Trustworthiness of 'smart' systems ». Communication lors de la conférence : ISO CASCO Workshop (En ligne, Apr. 29, 2022). Coulombe, Stéphane
Boussard, Vivien, Coulombe, Stéphane, Coudoux, François-Xavier et Corlay, Patrick.
2022.
« CRC-based correction of multiple errors using an optimized lookup table ».
IEEE Access, vol. 10.
pp. 23931-23947. Coulombe, Stéphane et Golaghazadeh, Firouzeh (inventeurs) 20 septembre 2022. « Checksum-aided forward error correction of data packets ». Brevet américain US 11,451,332.
Golaghazadeh, Firouzeh, Coulombe, Stéphane et Robert, Jean-Marc.
2022.
« Residual packet loss rate analysis of 2-D parity forward error correction ».
Signal Processing: Image Communication, vol. 102.
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.
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Chaddad, Ahmad, Daniel, Paul, Zhang, Mingli, Rathore, Saima, Sargos, Paul, Desrosiers, Christian et Niazi, Tamim.
2022.
« Deep radiomic signature with immune cell markers predicts the survival of glioma patients ».
Neurocomputing, vol. 469.
pp. 366-375.
Chaddad, Ahmad, Hassan, Lama et Desrosiers, Christian.
2022.
« Deep radiomic analysis for predicting coronavirus disease 2019 in computerized tomography and X-ray images ».
IEEE Transactions on Neural Networks and Learning Systems, vol. 33, nº 1.
pp. 3-11.
Chauvin, Laurent, Kumar, Kuldeep, Desrosiers, Christian, Wells, William et Toews, Matthew.
2022.
« Efficient pairwise neuroimage analysis using the soft jaccard index and 3D keypoint sets ».
IEEE Transactions on Medical Imaging, vol. 41, nº 4.
pp. 836-845.
Gaillochet, Mélanie, Desrosiers, Christian et Lombaert, Hervé.
2022.
« TAAL: Test-time augmentation for active learning in medical image segmentation ».
In Data Augmentation, Labelling, and Imperfections : Second MICCAI Workshop, DALI 2022, Held in Conjunction with MICCAI 2022 : Proceedings (Singapore, Singapore, Sept. 22, 2022)
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pp. 43-53.
Springer.
Gopinath, Karthik, Desrosiers, Christian et Lombaert, Herve.
2022.
« Learnable pooling in graph convolutional networks for brain surface analysis ».
IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 44, nº 2.
pp. 864-876.
Kervadec, H., Dolz, J., Yuan, J., Desrosiers, C., Granger, E. et Ben Ayed, I..
2022.
« Constrained deep networks: Lagrangian optimization via Log-barrier extensions ».
In 30th European Signal Processing Conference (EUSIPCO) (Belgrade, Serbia, Aug. 29-Sept. 02, 2022)
pp. 962-966.
European Signal Processing Conference, EUSIPCO.
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.
Li, Xuan, Desrosiers, Christian et Liu, Xue.
2022.
« Symmetric contrastive loss for out-of-distribution skin lesion detection ».
In 19th IEEE International Symposium on Biomedical Imaging (ISBI) (Kolkata, India, Mar. 28-31, 2022)
IEEE Computer Society.
Liu, Jinhua, Cui, Zhiming, Desrosiers, Christian, Lu, Shuyi et Zhou, Yuanfeng.
2022.
« Grayscale self-adjusting network with weak feature enhancement for 3D lumbar anatomy segmentation ».
Medical Image Analysis, vol. 81.
Liu, Jinhua, Desrosiers, Christian et Zhou, Yuanfeng.
2022.
« Semi-supervised medical image segmentation using cross-model pseudo-supervision with shape awareness and local context constraints ».
In Medical Image Computing and Computer Assisted Intervention – MICCAI 2022 25th International Conference : Proceedings VIII (Singapore, Singapore, Sept. 18-22, 2022)
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pp. 140-150.
Springer Science and Business Media Deutschland GmbH.
Nikolakopoulos, Athanasios N., Ning, Xia, Desrosiers, Christian et Karypis, George.
2022.
« Trust your neighbors: A comprehensive survey of neighborhood-based methods for recommender systems ».
In
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pp. 39-89. Springer US. Pei, Yinqing, Côté, David, Sigue, Philippe Alain Ngani, Mahmoudialami, Ali, Tremblay, Christine et Desrosiers, Christian (inventeurs) 18 octobre 2022. « Identifying root causes of network service degradation ». Ciena Corporation (titulaire(s)). Brevet américain US 11,477,070.
Yazdanpanah, M., Rahman, A. A., Chaudhary, M., Desrosiers, C., Havaei, M., Belilovsky, E. et Kahou, S. E..
2022.
« Revisiting learnable affines for batch norm in few-shot transfer learning ».
In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (New Orleans, LA, USA, June 18-24, 2022)
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Rzepka, M., Boryło, P., Assunção, M. D., Lasoń, A. et Lefèvre, L..
2022.
« SDN-based fog and cloud interplay for stream processing ».
Future Generation Computer Systems, vol. 131.
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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)
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pp. 265-275.
Springer Science and Business Media Deutschland GmbH.
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.
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.
Galdran, A., Chakor, H., Kabir, W., Kobbi, R., Liu, B., Dolz, J. et Ben Ayed, I..
2022.
« An automatic deep learning-based system for screening and management of DME ».
[Résumé d'une communication à une conférence]. Diabetes Research and Clinical Practice, vol. 186, nº Suppl. 1.
pp. 4-5.
Galdran, Adrian, Anjos, André, Dolz, José, Chakor, Hadi, Lombaert, Hervé et Ben Ayed, Ismail.
2022.
« State-of-the-art retinal vessel segmentation with minimalistic models ».
Scientific Reports, vol. 12, nº 1.
Kervadec, H., Dolz, J., Yuan, J., Desrosiers, C., Granger, E. et Ben Ayed, I..
2022.
« Constrained deep networks: Lagrangian optimization via Log-barrier extensions ».
In 30th European Signal Processing Conference (EUSIPCO) (Belgrade, Serbia, Aug. 29-Sept. 02, 2022)
pp. 962-966.
European Signal Processing Conference, EUSIPCO.
Liu, Bingyuan, Ben Ayed, Ismail, Galdran, Adrian et Dolz, Jose.
2022.
« The devil is in the margin: Margin-based label smoothing for network calibration ».
In IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (New Orleans, LA, USA, June 18-24, 2022)
pp. 80-88.
Nguyen-Meidine, Le Thanh, Kiran, Madhu, Pedersoli, Marco, Dolz, Jose, Blais-Morin, Louis-Antoine et Granger, Eric.
2022.
« Incremental multi-target domain adaptation for object detection with efficient domain transfer ».
Pattern Recognition, vol. 129.
Patel, Gaurav et Dolz, Jose.
2022.
« Weakly supervised segmentation with cross-modality equivariant constraints ».
Medical Image Analysis, vol. 77.
Silva-Rodríguez, Julio, Naranjo, Valery et Dolz, Jose.
2022.
« Constrained unsupervised anomaly segmentation ».
Medical Image Analysis, vol. 80.
Van Waerebeke, Martin, Lodygensky, Gregory et Dolz, Jose.
2022.
« On the pitfalls of entropy-based uncertainty for multi-class semi-supervised segmentation ».
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