| ACReL: Adversarial Conditional value-at-risk Reinforcement Learning M Godbout, M Heuillet, S Chandra, R Bhati, A Durand arXiv preprint arXiv:2109.09470, 2021 | 6* | 2021 |
| A robust self-learning method for fully unsupervised cross-lingual mappings of word embeddings: Making the method robustly reproducible as well N Garneau, M Godbout, D Beauchemin, A Durand, L Lamontagne arXiv preprint arXiv:1912.01706, 2019 | 6 | 2019 |
| Predicting visual improvement after macular hole surgery: a combined model using deep learning and clinical features A Lachance, M Godbout, F Antaki, M Hébert, S Bourgault, M Caissie, ... Translational Vision Science & Technology 11 (4), 6-6, 2022 | 3 | 2022 |
| Informing the development of an outcome set and banks of items to measure mobility among individuals with acquired brain injury using natural language processing R Alhasani, M Godbout, A Durand, C Auger, A Lamontagne, S Ahmed BMC neurology 22 (1), 1-15, 2022 | | 2022 |
| Predicting visual improvement after macular hole surgery: A combined model using deep learning and clinical features. Transl Vis Sci Technol. 2022; 11 (4): 6 A Lachance, M Godbout, F Antaki, M Hébert, S Bourgault, M Caissie, ... | | 2022 |
| Predicting Visual Improvement after Macular Hole Surgery: a Cautionary Tale on Deep Learning with Very Limited Data M Godbout, A Lachance, F Antaki, A Dirani, A Durand arXiv preprint arXiv:2109.09463, 2021 | | 2021 |
| Approches par bandit pour la génération automatique de résumés de textes M Godbout Université Laval, 2021 | | 2021 |
| Developing a core set of mobility domains among individuals with acquired brain injury (ABI): Empowering the creation of core outcome sets using natural language processing (NLP) R Alhasani, M Godbout, A Durand, S Ahmed QUALITY OF LIFE RESEARCH 29 (SUPPL 1), S39-S39, 2020 | | 2020 |
