1.9k citations
Counting papers with at most 25 authors, so collaboration author lists do not stand in for the people here.
- Georges Kaddoum6 profiles32 · h 49
- Ismail Ben Ayed3 profiles30 · h 52
- P. Giard28 · h 18
- R. Sabourin28 · h 58
- J. Dolz26 · h 43
- Christian Desrosiers2 profiles24 · h 37
- Eric Granger2 profiles20 · h 32
- F. Gagnon17 · h 32
- Rafael M. O. Cruz17 · h 22
- M. Cheriet15 · h 51
- C. Thibeault14 · h 21
- Marco Pedersoli3 profiles14 · h 20
- Université du Québec à MontréalCA58 papers
- McGill UniversityCA38 papers
- Polytechnique MontréalCA25 papers
- Universidade Federal de PernambucoBR17 papers
- Université du QuébecCA14 papers
- Université de MontréalCA13 papers
- Centre National de la Recherche ScientifiqueFR11 papers
- University of OttawaCA11 papers
- Carleton UniversityCA10 papers
- Guilin University of Electronic TechnologyCN10 papers
- Concordia UniversityCA9 papers
- École Polytechnique Fédérale de LausanneCH9 papers
4 papers · 2 filters
Predicting Regional Locust Swarm Distribution with Recurrent Neural Networks
Hadia Mohmmed Osman Ahmed Samil, Annabelle Martin, Arnav Kumar Jain +2
Locust infestation of some regions in the world, including Africa, Asia and Middle East has become a concerning issue that can affect the health and the lives of millions of people…
Transductive Information Maximization For Few-Shot Learning
Malik Boudiaf, Ziko Imtiaz Masud, Jérôme Rony +3
We introduce Transductive Infomation Maximization (TIM) for few-shot learning. Our method maximizes the mutual information between the query features and their label predictions fo…
Random Forest for Dissimilarity-based Multi-view Learning
Simon Bernard, Hongliu Cao, Robert Sabourin +1
Many classification problems are naturally multi-view in the sense their data are described through multiple heterogeneous descriptions. For such tasks, dissimilarity strategies ar…
A Novel Random Forest Dissimilarity Measure for Multi-View Learning
Hongliu Cao, Simon Bernard, Robert Sabourin +1
Multi-view learning is a learning task in which data is described by several concurrent representations. Its main challenge is most often to exploit the complementarities between t…