Using Knowledge to Speed Learning: A Comparison of Knowledge-based Cascade-correlation and Multi-task Learning. - Thomas R. Shultz; François Rivest (ICML, 2000)

Knowledge-Based Cascade-Correlation. - Thomas R. Shultz; François Rivest (IJCNN (5), 2000)

Knowledge-based cascade-correlation: using knowledge to speed learning. - Thomas R. Shultz; François Rivest (Connect. Sci., 2001)

Combining TD-learning with Cascade-correlation Networks. - François Rivest; Doina Precup (ICML, 2003)

A dual-phase technique for pruning constructive networks. - Jean-Philippe Thivierge; François Rivest; Thomas R. Shultz (IJCNN, 2003)

Compositionality in a Knowledge-Based Constructive Learner. - François Rivest; Thomas R. Shultz (AAAI Technical Report (3), 2004)

Brain Inspired Reinforcement Learning. - François Rivest; Yoshua Bengio; John Kalaska (NIPS, 2004)

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)

Alternative time representation in dopamine models. - François Rivest; John Kalaska; Yoshua Bengio (J. Comput. Neurosci., 2010)

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 (World Haptics, 2013)

Conditioning and time representation in long short-term memory networks. - François Rivest; John Kalaska; Yoshua Bengio (Biol. Cybern., 2014)

Barker-Coded node-pore resistive pulse sensing with built-in coincidence correction. - Michael R. Kellman; François Rivest; Alina Pechacek; Lydia Sohn; Michael Lustig (ICASSP, 2017)

Fully End-To-End Super-Resolved Bone Age Estimation. - Mohammed Gasmallah; Farhana H. Zulkernine; François Rivest; Parvin Mousavi; Alireza Sedghi (Canadian AI, 2019)

Deep Reinforcement Learning for Multi-satellite Collection Scheduling. - Jason T. Lam; François Rivest; Jean Berger (TPNC, 2019)

Automatic Policy Decomposition through Abstract State Space Dynamic Specialization. - Rene Sturgeon; François Rivest (IJCNN, 2020)

A New Timing Error Cost Function for Binary Time Series Prediction. - François Rivest; Richard Kohar (IEEE Trans. Neural Networks Learn. Syst., 2020)

Exploring decision support systems in task scheduling. - Alex Salgo; Jeremy Banks; François Rivest (CASCON, 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 (CogMI, 2021)

Latent Time-Adaptive Drift-Diffusion Model. - Gabriele Cimolino; François Rivest (CoRR, 2021)

Towards Personalization of User Preferences in Partially Observable Smart Home Environments. - Shashi Suman; François Rivest; Ali Etemad (CoRR, 2021)

ChronosPerseus: Randomized Point-based Value Iteration with Importance Sampling for POSMDPs. - Richard Kohar; François Rivest; Alain Gosselin (CoRR, 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)

Potential Impacts of Smart Homes on Human Behavior: A Reinforcement Learning Approach. - Shashi Suman; Ali Etemad; François Rivest (IEEE Trans. Artif. Intell., 2022)

Quantifying Path Smoothness in Video Object Tracking by Detection. - Mohammed Gasmallah; François Rivest; Farhana H. Zulkernine; Mélanie Breton (Canadian AI, 2023)

I3D Light - A Simple Motion Information Stream for I3D. - Ruikang Luo; François Rivest; Farhana H. Zulkernine (Canadian AI, 2023)

Optimistically Initializing DQN. - Masih Hashemi; François Rivest (CASCON, 2023)

Toward Personalization of User Preferences in Partially Observable Smart Home Environments. - Shashi Suman; François Rivest; Ali Etemad (IEEE Trans. Artif. Intell., 2023)

Monte Carlo Tree Search Satellite Scheduling Under Cloud Cover Uncertainty. - Justin Norman; François Rivest (CoRR, 2024)

YOLO-I3D: Optimizing Inflated 3D Models for Real-Time Human Activity Recognition. - Ruikang Luo; Aman Anand; Farhana H. Zulkernine; François Rivest (J. Imaging, 2024)