François Rivest - researchr alias

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Viewing Publication 1 - 24 from 24

2024

YOLO-I3D: Optimizing Inflated 3D Models for Real-Time Human Activity RecognitionRuikang Luo, Aman Anand, Farhana H. Zulkernine, François Rivest. jimaging, 10(11):269, 2024. [doi]

2023

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. iotm, 5(3):62-66, 2022. [doi]

Potential Impacts of Smart Homes on Human Behavior: A Reinforcement Learning ApproachShashi Suman, Ali Etemad, François Rivest. tai, 3(4):567-580, 2022. [doi]

2021

FireWarn: Fire Hazards Detection Using Deep Learning ModelsIsaac Hogan, Donghao Qiao, Ruikang Luo, Mojtaba Moattari, Austin Carthy, Farhana H. Zulkernine, François Rivest, Mélanie Breton. cogmi 2021: 1-10 [doi]

Exploring decision support systems in task schedulingAlex Salgo, Jeremy Banks, François Rivest. cascon 2021: 184-189 [doi]

2020

A New Timing Error Cost Function for Binary Time Series PredictionFrançois Rivest, Richard Kohar. tnn, 31(1):174-185, 2020. [doi]

Automatic Policy Decomposition through Abstract State Space Dynamic SpecializationRene Sturgeon, François Rivest. ijcnn 2020: 1-7 [doi]

2019

Fully End-To-End Super-Resolved Bone Age EstimationMohammed Gasmallah, Farhana H. Zulkernine, François Rivest, Parvin Mousavi, Alireza Sedghi. ai 2019: 498-504 [doi]

Deep Reinforcement Learning for Multi-satellite Collection SchedulingJason T. Lam, François Rivest, Jean Berger. tpnc 2019: 184-196 [doi]

2017

Barker-Coded node-pore resistive pulse sensing with built-in coincidence correctionMichael Kellman, François Rivest, Alina Pechacek, Lydia Sohn, Michael Lustig. icassp 2017: 1053-1057 [doi]

2014

Conditioning and time representation in long short-term memory networksFrançois Rivest, John Kalaska, Yoshua Bengio. bc, 108(1):23-48, 2014. [doi]

2013

Visual and force feedback time-delays change telepresence: Quantitative evidence from crossmodal congruecy taskAli Sengul, François Rivest, Michiel van Elk, Olaf Blanke, Hannes Bleuler. haptics 2013: 577-582 [doi]

2010

Alternative time representation in dopamine modelsFrançois Rivest, John Kalaska, Yoshua Bengio. jcns, 28(1):107-130, 2010. [doi]

2004

Compositionality in a Knowledge-Based Constructive LearnerFrançois Rivest, Thomas R. Shultz. aaaifs 2004: 54-58 [doi]

Brain Inspired Reinforcement LearningFrançois Rivest, Yoshua Bengio, John Kalaska. nips 2004: 1129-1136 [doi]

2003

Combining TD-learning with Cascade-correlation NetworksFrançois Rivest, Doina Precup. icml 2003: 632-639

A dual-phase technique for pruning constructive networksJean-Philippe Thivierge, François Rivest, Thomas R. Shultz. ijcnn 2003: 559-564 [doi]

2001

Knowledge-based cascade-correlation: using knowledge to speed learningThomas R. Shultz, François Rivest. connection, 13(1):43-72, 2001. [doi]

2000

Knowledge-Based Cascade-CorrelationThomas R. Shultz, François Rivest. ijcnn 2000: 641-646 [doi]

Using Knowledge to Speed Learning: A Comparison of Knowledge-based Cascade-correlation and Multi-task LearningThomas R. Shultz, François Rivest. icml 2000: 871-878

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