| A machine learning approach for online automated optimization of super-resolution optical microscopy A Durand, T Wiesner, MA Gardner, LÉ Robitaille, A Bilodeau, C Gagné, ... Nature communications 9 (1), 5247, 2018 | 66 | 2018 |
| A principled approach for learning task similarity in multitask learning C Shui, M Abbasi, LÉ Robitaille, B Wang, C Gagné arXiv preprint arXiv:1903.09109, 2019 | 65 | 2019 |
| Task similarity estimation through adversarial multitask neural network F Zhou, C Shui, M Abbasi, LÉ Robitaille, B Wang, C Gagné IEEE Transactions on Neural Networks and Learning Systems 32 (2), 466-480, 2020 | 23 | 2020 |
| Learning to become an expert: deep networks applied to super-resolution microscopy LE Robitaille, A Durand, MA Gardner, C Gagné, P De Koninck, ... Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | 6 | 2018 |
| Réseaux de neurones pour l'apprentissage de la préférence en microscopie super-résolution LE Robitaille | | 2021 |
| Rating super-resolution microscopy images with deep learning LE Robitaille, A Durand, MA Gardner, C Gagné, P De Koninck, ... Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018 | | 2018 |
| Efficient Learning of Ensembles with QuadBoost L Fortier-Dubois, F Laviolette, M Marchand, LE Robitaille, JF Roy arXiv preprint arXiv:1506.02535, 2015 | | 2015 |
