Francois Rivest 个人学术档案

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Thomas ShultzProfessor of Psychology, McGill University在 mcgill.ca 的电子邮件经过验证
JP ThiviergeFull professor of Psychology, University of Ottawa在 uottawa.ca 的电子邮件经过验证
Yoshua BengioProfessor of computer science, University of Montreal, Mila, IVADO, CIFAR在 umontreal.ca 的电子邮件经过验证
Elliot A. LudvigProfessor, Psychology, University of Warwick在 warwick.ac.uk 的电子邮件经过验证
John F. KalaskaUniversité de Montréal在 umontreal.ca 的电子邮件经过验证
André LuzardoPostdoctoral Researcher, Boston University在 bu.edu 的电子邮件经过验证
Doina PrecupDeepMind and McGill University在 cs.mcgill.ca 的电子邮件经过验证
Fuat BalcıProfessor of Biological Sciences, University of Manitoba在 umanitoba.ca 的电子邮件经过验证
Peter Killeenx-Professor of Psychology, Arizona State University在 asu.edu 的电子邮件经过验证
Patrick SimenAssociate Professor of Neuroscience, Oberlin College在 oberlin.edu 的电子邮件经过验证
Ali EtemadQueen's University在 queensu.ca 的电子邮件经过验证
Oury MonchiCentre de recherche de l'institut universitaire de gériatrie de Montréal, Université de Montréal在 umontreal.ca 的电子邮件经过验证
Jean BergerDefence Research and Development Canada在 drdc-rddc.gc.ca 的电子邮件经过验证
Eduardo AlonsoProfessor of Artificial Intelligence; City, University of London在 city.ac.uk 的电子邮件经过验证
Farhana ZulkernineAssociate Professor, School of Computing, Queen's University在 queensu.ca 的电子邮件经过验证
Abdellah Chehri, PhD, IEEE Senior M...Associate Professor, Royal Military College of Canada在 rmc.ca 的电子邮件经过验证
Mohammed Hamada GasmallahQueen's University在 queensu.ca 的电子邮件经过验证
Pierre DumouchelFull Professor, École de technologie supérieure, Université du Québec在 etsmtl.ca 的电子邮件经过验证
Alireza SedghiQueen's University在 queensu.ca 的电子邮件经过验证
Gwanggil JeonShandong University of Technology在 sdut.edu.cn 的电子邮件经过验证

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Francois Rivest

Professor, Mathematics and Computer Science, Royal Military College of Canada

在 rmc.ca 的电子邮件经过验证 - 首页

Artificial intelligence Machine learning Reinforcement Learning Dopamine Interval Timing


标题按引用次数排序按年份排序按标题排序	引用次数引用次数	年份
Knowledge-based cascade-correlation: Using knowledge to speed learning TR Shultz, F Rivest Connection Science 13 (1), 43-72, 2001	115	2001
Timescale invariance in the pacemaker-accumulator family of timing models P Simen, F Rivest, EA Ludvig, F Balci, P Killeen Timing & Time Perception 1 (2), 159-188, 2013	102*	2013
Application of knowledge-based cascade-correlation to vowel recognition F Rivest, TR Shultz Proceedings of the 2002 International Joint Conference on Neural Networks …, 2002	51	2002
Combining TD-learning with cascade-correlation networks F Rivest, D Precup Proceedings of the twentieth International Conference on Machine Learning 20 …, 2003	50	2003
An adaptive drift-diffusion model of interval timing dynamics A Luzardo, EA Ludvig, F Rivest Behavioural processes 95, 90-99, 2013	45	2013
Brain inspired reinforcement learning F Rivest, Y Bengio, J Kalaska Advances in neural information processing systems 17, 1129-1136, 2005	33	2005
Adaptive Drift-Diffusion Process to Learn Time Intervals F Rivest, Y Bengio Arxiv preprint arXiv:1103.2382, 2011	32	2011
Spiking neurons, dopamine, and plasticity: timing is everything, but concentration also matters JP Thivierge, F Rivest, O Monchi Synapse 61 (6), 375-390, 2007	31	2007
Alternative time representation in dopamine models F Rivest, JF Kalaska, Y Bengio Journal of computational neuroscience 28 (1), 107-130, 2010	27	2010
A new timing error cost function for binary time series prediction F Rivest, R Kohar IEEE transactions on neural networks and learning systems 31 (1), 174-185, 2019	24	2019
Could knowledge-based neural learning be useful in developmental robotics? The case of KBCC TR Shultz, F Rivest, L Egri, JP Thivierge, F Dandurand International Journal of Humanoid Robotics 4 (02), 245-279, 2007	23	2007
A dual-phase technique for pruning constructive networks JP Thivierge, F Rivest, TR Shultz Proceedings of the International Joint Conference on Neural Networks, 2003 …, 2003	23	2003
Using Knowledge to Speed Learning: A Comparison of Knowledge-based Cascade-correlation and Multi-task Learning. TR Shultz, F Rivest Proceeding of the Seventeenth International Conference on Machine Learning …, 2000	23*	2000
Knowledge-based cascade corellation T Schultz, F Rivest Proceedings of the IEEE-INNS-ENNS International Joint Conference on Neural …, 2000	21	2000
Deep reinforcement learning for multi-satellite collection scheduling JT Lam, F Rivest, J Berger Theory and Practice of Natural Computing: 8th International Conference, TPNC …, 2019	20	2019
Conditioning and time representation in long short-term memory networks F Rivest, JF Kalaska, Y Bengio Biological cybernetics 108 (1), 23-48, 2014	19	2014
A drift–diffusion model of interval timing in the peak procedure A Luzardo, F Rivest, E Alonso, EA Ludvig Journal of Mathematical Psychology 77, 111-123, 2017	18	2017
Potential Impacts of Smart Homes on Human Behavior: A Reinforcement Learning Approach S Suman, A Etemad, F Rivest IEEE Transactions on Artificial Intelligence, 2021	13	2021
Complex problem solving with reinforcement learning F Dandurand, TR Shultz, F Rivest Development and Learning, 2007. ICDL 2007. IEEE 6th International Conference …, 2007	12	2007
Knowledge-based Learning with KBCC TR Shultz, F Rivest, L Egri, JP Thivierge Proceedings of the Fifth International Conference on Development and …, 2006	10	2006

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