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ORCIDFrançois Rivest
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2020 – today
- 2024
[j9]Ruikang Luo, Aman Anand, Farhana H. Zulkernine, François Rivest
:
YOLO-I3D: Optimizing Inflated 3D Models for Real-Time Human Activity Recognition. J. Imaging 10(11): 269 (2024)- [i5]Justin Norman, François Rivest:
Monte Carlo Tree Search Satellite Scheduling Under Cloud Cover Uncertainty. CoRR abs/2405.20951 (2024) - 2023
- [j8]Shashi Suman, François Rivest, Ali Etemad:
Toward Personalization of User Preferences in Partially Observable Smart Home Environments. IEEE Trans. Artif. Intell. 4(3): 549-561 (2023) - [c16]Mohammed Gasmallah, François Rivest, Farhana H. Zulkernine, Mélanie Breton:
Quantifying Path Smoothness in Video Object Tracking by Detection. Canadian AI 2023 - [c15]Ruikang Luo, François Rivest, Farhana H. Zulkernine:
I3D Light - A Simple Motion Information Stream for I3D. Canadian AI 2023 - [c14]Masih Hashemi, François Rivest:
Optimistically Initializing DQN. CASCON 2023: 179-184 - 2022
- [j7]Abdellah Chehri, Gwanggil Jeon, François Rivest, Hussein T. Mouftah:
Evolution and Trends in Artificial Intelligence of Things Security: When Good Enough is Not Good Enough! IEEE Internet Things Mag. 5(3): 62-66 (2022) - [j6]Shashi Suman, Ali Etemad, François Rivest:
Potential Impacts of Smart Homes on Human Behavior: A Reinforcement Learning Approach. IEEE Trans. Artif. Intell. 3(4): 567-580 (2022) - [i4]Richard Kohar, François Rivest, Alain Gosselin:
ChronosPerseus: Randomized Point-based Value Iteration with Importance Sampling for POSMDPs. CoRR abs/2207.07825 (2022) - 2021
- [c13]Alex Salgo, Jeremy Banks, François Rivest:
Exploring decision support systems in task scheduling. CASCON 2021: 184-189 - [c12]Isaac Hogan, Donghao Qiao, Ruikang Luo, Mojtaba Moattari, Austin Carthy, Farhana H. Zulkernine, François Rivest, Mélanie Breton:
FireWarn: Fire Hazards Detection Using Deep Learning Models. CogMI 2021: 1-10 - [i3]Shashi Suman, Ali Etemad, François Rivest:
Potential Impacts of Smart Homes on Human Behavior: A Reinforcement Learning Approach. CoRR abs/2102.13307 (2021) - [i2]Gabriele Cimolino, François Rivest:
Latent Time-Adaptive Drift-Diffusion Model. CoRR abs/2106.02742 (2021) - [i1]Shashi Suman, François Rivest, Ali Etemad:
Towards Personalization of User Preferences in Partially Observable Smart Home Environments. CoRR abs/2112.00971 (2021) - 2020
- [j5]François Rivest, Richard Kohar:
A New Timing Error Cost Function for Binary Time Series Prediction. IEEE Trans. Neural Networks Learn. Syst. 31(1): 174-185 (2020) - [c11]Rene Sturgeon, François Rivest:
Automatic Policy Decomposition through Abstract State Space Dynamic Specialization. IJCNN 2020: 1-7
2010 – 2019
- 2019
- [c10]Mohammed Gasmallah, Farhana H. Zulkernine, François Rivest, Parvin Mousavi, Alireza Sedghi:
Fully End-To-End Super-Resolved Bone Age Estimation. Canadian AI 2019: 498-504 - [c9]Jason T. Lam, François Rivest, Jean Berger:
Deep Reinforcement Learning for Multi-satellite Collection Scheduling. TPNC 2019: 184-196 - 2017
- [c8]Michael R. Kellman, François Rivest, Alina Pechacek, Lydia Sohn, Michael Lustig:
Barker-Coded node-pore resistive pulse sensing with built-in coincidence correction. ICASSP 2017: 1053-1057 - 2014
- [j4]François Rivest, John Kalaska, Yoshua Bengio:
Conditioning and time representation in long short-term memory networks. Biol. Cybern. 108(1): 23-48 (2014) - 2013
- [c7]Ali Sengul, François Rivest, Michiel van Elk, Olaf Blanke, Hannes Bleuler:
Visual and force feedback time-delays change telepresence: Quantitative evidence from crossmodal congruecy task. World Haptics 2013: 577-582 - 2010
- [j3]François Rivest, John Kalaska, Yoshua Bengio:
Alternative time representation in dopamine models. J. Comput. Neurosci. 28(1): 107-130 (2010)
2000 – 2009
- 2007
- [j2]Thomas R. Shultz, François Rivest, László Egri, Jean-Philippe Thivierge, Frédéric Dandurand:
Could Knowledge-Based Neural Learning be Useful in Developmental Robotics? The Case of Kbcc. Int. J. Humanoid Robotics 4(2): 245-279 (2007) - 2004
- [c6]François Rivest, Thomas R. Shultz:
Compositionality in a Knowledge-Based Constructive Learner. AAAI Technical Report (3) 2004: 54-58 - [c5]François Rivest, Yoshua Bengio, John Kalaska:
Brain Inspired Reinforcement Learning. NIPS 2004: 1129-1136 - 2003
- [c4]François Rivest, Doina Precup:
Combining TD-learning with Cascade-correlation Networks. ICML 2003: 632-639 - [c3]Jean-Philippe Thivierge, François Rivest, Thomas R. Shultz:
A dual-phase technique for pruning constructive networks. IJCNN 2003: 559-564 - 2001
- [j1]Thomas R. Shultz, François Rivest:
Knowledge-based cascade-correlation: using knowledge to speed learning. Connect. Sci. 13(1): 43-72 (2001) - 2000
- [c2]Thomas R. Shultz, François Rivest:
Using Knowledge to Speed Learning: A Comparison of Knowledge-based Cascade-correlation and Multi-task Learning. ICML 2000: 871-878 - [c1]Thomas R. Shultz, François Rivest:
Knowledge-Based Cascade-Correlation. IJCNN (5) 2000: 641-646
Coauthor Index
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