Louis-Émile Robitaille
Title
Cited by
Cited by
Year
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), 1-16, 2018
212018
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
152019
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, 2020
32020
Learning to become an expert: deep networks applied to super-resolution microscopy
LÉ Robitaille, A Durand, MA Gardner, C Gagné, P De Koninck, ...
Proceedings of the AAAI Conference on Artificial Intelligence 32 (1), 2018
22018
Réseaux de neurones pour l'apprentissage de la préférence en microscopie super-résolution
LE Robitaille
2021
Rating Super-Resolution Microscopy Images with Deep Learning
LÉ 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
A machine learning approach for automated optimization of super-resolution optical microscopy
A Durand, T Wiesner, MA Gardner, LÉ Robitaille, A Bilodeau, C Gagné, ...
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