Éric Granger

Multiple instance learning: A survey of problem characteristics and applications

Marc‐André Carbonneau, Veronika Cheplygina, Éric Granger et al. · Pattern Recognition · 2017 · 701 citations · Full text

Artificial Intelligence, Instance-based Learning, Multiple Instance Learning +11

Boundary loss for highly unbalanced segmentation

Hoel Kervadec, Jihene Bouchtiba, Christian Desrosiers et al. · Medical Image Analysis · 2020 · 423 citations · Full text

Machine Vision, Image Analysis, Data Science +8

Constrained-CNN losses for weakly supervised segmentation

Hoel Kervadec, José Dolz, Meng Tang et al. · Medical Image Analysis · 2019 · 273 citations · Full text

Chemical Development of CI-1008, an Enantiomerically Pure Anticonvulsant

Marvin S. Hoekstra, Denis M. Sobieray, Mark A. Schwindt et al. · Organic Process Research & Development · 1997 · 185 citations

MDN: A Deep Maximization-Differentiation Network for Spatio-Temporal Depression Detection

Wheidima Carneiro de Melo, Éric Granger, Miguel Bordallo López · IEEE Transactions on Affective Computing · 2021 · 119 citations · Full text

Convolutional Neural Network, Engineering, Machine Learning +19