Joumana Ghosn

Publication Activity (10 Years)

Years Active: 1996-2022
Publications (10 Years): 7

Top Topics

Reinforcement Learning

Top Venues

Publications

Arsène Fansi Tchango, Rishab Goel, Zhi Wen, Julien Martel, Joumana Ghosn
DDXPlus: A New Dataset For Automatic Medical Diagnosis. NeurIPS (2022)
Arsène Fansi Tchango, Zhi Wen, Rishab Goel, Joumana Ghosn
DDXPlus: A new Dataset for Medical Automatic Diagnosis. CoRR (2022)
Arsène Fansi Tchango, Rishab Goel, Julien Martel, Zhi Wen, Gaétan Marceau-Caron, Joumana Ghosn
Towards Trustworthy Automatic Diagnosis Systems by Emulating Doctors' Reasoning with Deep Reinforcement Learning. NeurIPS (2022)
Arsène Fansi Tchango, Rishab Goel, Julien Martel, Zhi Wen, Gaétan Marceau-Caron, Joumana Ghosn
Towards Trustworthy Automatic Diagnosis Systems by Emulating Doctors' Reasoning with Deep Reinforcement Learning. CoRR (2022)
Yoshua Bengio, Prateek Gupta, Tegan Maharaj, Nasim Rahaman, Martin Weiss, Tristan Deleu, Eilif Benjamin Müller, Meng Qu, Victor Schmidt, Pierre-Luc St-Charles, Hannah Alsdurf, Olexa Bilaniuk, David Buckeridge, Gaétan Marceau-Caron, Pierre Luc Carrier, Joumana Ghosn, Satya Ortiz-Gagne, Christopher J. Pal, Irina Rish, Bernhard Schölkopf, Abhinav Sharma, Jian Tang, Andrew Williams
Predicting Infectiousness for Proactive Contact Tracing. ICLR (2021)
Yoshua Bengio, Prateek Gupta, Tegan Maharaj, Nasim Rahaman, Martin Weiss, Tristan Deleu, Eilif B. Müller, Meng Qu, Victor Schmidt, Pierre-Luc St-Charles, Hannah Alsdurf, Olexa Bilaniuk, David Buckeridge, Gaétan Marceau Caron, Pierre Luc Carrier, Joumana Ghosn, Satya Ortiz-Gagne, Chris Pal, Irina Rish, Bernhard Schölkopf, Abhinav Sharma, Jian Tang, Andrew Williams
Predicting Infectiousness for Proactive Contact Tracing. CoRR (2020)
Prateek Gupta, Tegan Maharaj, Martin Weiss, Nasim Rahaman, Hannah Alsdurf, Abhinav Sharma, Nanor Minoyan, Soren Harnois-Leblanc, Victor Schmidt, Pierre-Luc St-Charles, Tristan Deleu, Andrew Williams, Akshay Patel, Meng Qu, Olexa Bilaniuk, Gaétan Marceau Caron, Pierre Luc Carrier, Satya Ortiz-Gagné, Marc-Andre Rousseau, David Buckeridge, Joumana Ghosn, Yang Zhang, Bernhard Schölkopf, Jian Tang, Irina Rish, Christopher Joseph Pal, Joanna Merckx, Eilif B. Müller, Yoshua Bengio
COVI-AgentSim: an Agent-based Model for Evaluating Methods of Digital Contact Tracing. CoRR (2020)
Joumana Ghosn, Yoshua Bengio
Bias learning, knowledge sharing. IEEE Trans. Neural Networks 14 (4) (2003)
Nicolas Chapados, Yoshua Bengio, Pascal Vincent, Joumana Ghosn, Charles Dugas, Ichiro Takeuchi, Linyan Meng
Estimating Car Insurance Premia: a Case Study in High-Dimensional Data Inference. NIPS (2001)
Thomas V. Papathomas, Ingemar J. Cox, Peter N. Yianilos, Matthew L. Miller, Thomas P. Minka, Tiffany E. Conway, Joumana Ghosn
Psychophysical experiments on the PicHunter image retrieval system. J. Electronic Imaging 10 (1) (2001)
Joumana Ghosn, Yoshua Bengio
Bias Learning, Knowledge Sharing. IJCNN (1) (2000)
Thomas V. Papathomas, Tiffany E. Conway, Ingemar J. Cox, Joumana Ghosn, Matthew L. Miller, Thomas P. Minka, Peter N. Yianilos
Psychophysical studies of the performance of an image database retrieval system. Human Vision and Electronic Imaging (1998)
Ingemar J. Cox, Joumana Ghosn, Peter N. Yianilos
Feature-Based Face Recognition Using Mixture-Distance. CVPR (1996)
Joumana Ghosn, Yoshua Bengio
Multi-Task Learning for Stock Selection. NIPS (1996)