François Rivest

According to our database, François Rivest authored at least 26 papers between 2000 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Toward Personalization of User Preferences in Partially Observable Smart Home Environments.

Shashi Suman, François Rivest, Ali Etemad

IEEE Trans. Artif. Intell., June, 2023

Optimistically Initializing DQN.

Masih Hashemi, François Rivest

Proceedings of the 33rd Annual International Conference on Computer Science and Software Engineering, 2023

I3D Light - A Simple Motion Information Stream for I3D.

Ruikang Luo, François Rivest, Farhana H. Zulkernine

Proceedings of the 36th Canadian Conference on Artificial Intelligence, 2023

Quantifying Path Smoothness in Video Object Tracking by Detection.

Mohammed Gasmallah, François Rivest, Farhana H. Zulkernine, Mélanie Breton

Proceedings of the 36th Canadian Conference on Artificial Intelligence, 2023

2022

Potential Impacts of Smart Homes on Human Behavior: A Reinforcement Learning Approach.

Shashi Suman, Ali Etemad, François Rivest

IEEE Trans. Artif. Intell., 2022

Evolution and Trends in Artificial Intelligence of Things Security: When Good Enough is Not Good Enough!

Abdellah Chehri, Gwanggil Jeon, François Rivest, Hussein T. Mouftah

IEEE Internet Things Mag., 2022

ChronosPerseus: Randomized Point-based Value Iteration with Importance Sampling for POSMDPs.

Richard Kohar, François Rivest, Alain Gosselin

CoRR, 2022

2021

Towards Personalization of User Preferences in Partially Observable Smart Home Environments.

Shashi Suman, François Rivest, Ali Etemad

CoRR, 2021

Latent Time-Adaptive Drift-Diffusion Model.

Gabriele Cimolino, François Rivest

CoRR, 2021

FireWarn: Fire Hazards Detection Using Deep Learning Models.

Isaac Hogan, Donghao Qiao, Ruikang Luo, Mojtaba Moattari, Austin Carthy, Farhana H. Zulkernine, François Rivest, Mélanie Breton

Proceedings of the Third IEEE International Conference on Cognitive Machine Intelligence, 2021

Exploring decision support systems in task scheduling.

Alex Salgo, Jeremy Banks, François Rivest

Proceedings of the CASCON '21: Proceedings of the 31st Annual International Conference on Computer Science and Software Engineering, Toronto, Ontario, Canada, November 22, 2021

2020

A New Timing Error Cost Function for Binary Time Series Prediction.

François Rivest, Richard Kohar

IEEE Trans. Neural Networks Learn. Syst., 2020

Automatic Policy Decomposition through Abstract State Space Dynamic Specialization.

Rene Sturgeon, François Rivest

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019

Deep Reinforcement Learning for Multi-satellite Collection Scheduling.

Jason T. Lam, François Rivest, Jean Berger

Proceedings of the Theory and Practice of Natural Computing - 8th International Conference, 2019

Fully End-To-End Super-Resolved Bone Age Estimation.

Mohammed Gasmallah, Farhana H. Zulkernine, François Rivest, Parvin Mousavi, Alireza Sedghi

Proceedings of the Advances in Artificial Intelligence, 2019

2017

Barker-Coded node-pore resistive pulse sensing with built-in coincidence correction.

Michael R. Kellman, François Rivest, Alina Pechacek, Lydia Sohn, Michael Lustig

Proceedings of the 2017 IEEE International Conference on Acoustics, 2017

2014

Conditioning and time representation in long short-term memory networks.

François Rivest, John Kalaska, Yoshua Bengio

Biol. Cybern., 2014

2013

Visual and force feedback time-delays change telepresence: Quantitative evidence from crossmodal congruecy task.

Ali Sengul, François Rivest, Michiel van Elk, Olaf Blanke, Hannes Bleuler

Proceedings of the 2013 World Haptics Conference, 2013

2010

Alternative time representation in dopamine models.

François Rivest, John Kalaska, Yoshua Bengio

J. Comput. Neurosci., 2010

2007

Could Knowledge-Based Neural Learning be Useful in Developmental Robotics? The Case of Kbcc.

Thomas R. Shultz, François Rivest, László Egri, Jean-Philippe Thivierge, Frédéric Dandurand

Int. J. Humanoid Robotics, 2007

2004

Brain Inspired Reinforcement Learning.

François Rivest, Yoshua Bengio, John Kalaska

Proceedings of the Advances in Neural Information Processing Systems 17 [Neural Information Processing Systems, 2004

Compositionality in a Knowledge-Based Constructive Learner.

François Rivest, Thomas R. Shultz

Proceedings of the Compositional Connectionism in Cognitive Science, 2004

2003

Combining TD-learning with Cascade-correlation Networks.

François Rivest, Doina Precup

Proceedings of the Machine Learning, 2003

2001

Knowledge-based cascade-correlation: using knowledge to speed learning.

Thomas R. Shultz, François Rivest

Connect. Sci., 2001

2000

Knowledge-Based Cascade-Correlation.

Thomas R. Shultz, François Rivest

Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural Networks, 2000

Using Knowledge to Speed Learning: A Comparison of Knowledge-based Cascade-correlation and Multi-task Learning.

Thomas R. Shultz, François Rivest

Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000