Dirección de investigación : Jean-Gabriel GANASCIA

Co-supervisión : ZUCKER Jean-Daniel

Apprentissage symbolique et découverte scientifique

Publicaciones 2000-2019

• 2019
  • A. Beynier, Y. Chevaleyre, L. Gourvès, A. Harutyunyan, J. Lesca, N. Maudet, A. Wilczynski : “Local Envy-Freeness in House Allocation Problems”, Autonomous Agents and Multi-Agent Systems, vol. 33 (5), pp. 591-627, (Springer Verlag) (2019)
• 2018
  • Kh. Belahcene, Y. Chevaleyre, N. Maudet, Ch. Labreuche, V. Mousseau, W. Ouerdane : “Accountable Approval Sorting”, Proceedings of the 27^th International Joint Conference on Artificial Intelligence and the 23^rd European Conference on Artificial Intelligence (IJCAI-ECAI 2018), Stockholm, Sweden (2018)
  • A. Beynier, Y. Chevaleyre, L. Gourvès, J. Lesca, N. Maudet, A. Wilczynski : “Local Envy-Freeness in House Allocation Problems”, 17^th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2018), Stockholm, Sweden (2018)
• 2017
  • Y. Chevaleyre, U. Endriss, N. Maudet : “Distributed Fair Allocation of Indivisible Goods”, Artificial Intelligence, vol. 242, pp. 1-22, (Elsevier) (2017)
• 2016
  • S. Bouveret, Y. Chevaleyre, N. Maudet : “Fair Division of Indivisible Goods”, chapter in Handbook of Computational Social Choice, (Cambridge University Press), (ISBN: 9781316490631) (2016)
• 2015
  • A. Damamme, A. Beynier, Y. Chevaleyre, N. Maudet : “The Power of Swap Deals in Distributed Resource Allocation”, The 14^th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2015), Istanbul, Turkey, pp. 625-633 (2015)
• 2014
  • L. Amgoud, Y. Chevaleyre, N. Maudet : “Systèmes multi-agents: négociation, persuasion”, chapter in Panorama de l'Intelligence Artificielle (3 vol.), vol. 1 (Chapter 17), Représentation des connaissances et formalisation des raisonnements, pp. 273-296, (Cépaduès, Toulouse), (ISBN: 978-2364930414) (2014)
• 2012
  • Y. Chevaleyre, J. Lang, N. Maudet, J. Monnot, L. Xia : “New candidates welcome! Possible winners with respect to the addition of new candidates”, Mathematical Social Sciences, vol. 64 (1), pp. 74-88, (Elsevier) (2012)
• 2004
  • A. De Luna Almeida, G. Ramalho, H. Santana, P. Tedesco, T. Menezes, V. Corruble, Y. Chevaleyre : “Recent advances on multi-agent patrolling”, 17^th Brazilian Symposium on Artificial Intelligence, vol. 3171, Lecture Notes in Computer Science, São Luís, Brazil, pp. 474-483, (Springer) (2004)
• 2003
  • N. Bredèche, Y. Chevaleyre, J.‑D. Zucker, A. Drogoul, G. Sabah : “A meta-learning approach to anchor visual percepts”, Robotics and Autonomous Systems, vol. 43 (2-3), pp. 149-162, (Elsevier) (2003)
• 2002
  • N. Bredèche, J.‑D. Zucker, Y. Chevaleyre : “A Wrapper-based Approach to Robot Learning Concepts from Images.”, PRICAI 2002 - 7^th Pacific Rim International Conference on Artificial Intelligence, vol. 2417, Lecture Notes in Computer Science, Tokyo, Japan, pp. 616-616, (Springer) (2002)
  • N. Bredèche, Y. Chevaleyre, L. Hugues : “Wrapper for Object Detection in an Autonomous Mobile Robot”, ICPR 2002 - 16^th International Conference on Pattern Recognition, Quebec City, Canada, pp. 749-752, (IEEE) (2002)
  • N. Bredèche, Y. Chevaleyre : “Physically grounding the lexical semantics of words in a robot visual perception”, AROB 2002 - 7^th International Symposium on Artificial Life and Robotics for Information Technology, Oita, Japan (2002)
• 2001
  • Y. Chevaleyre : “Apprentissage symbolique et découverte scientifique”, tesis, defensa 20/12/2001, dirección de investigación Ganascia, Jean-Gabriel, co-supervisión : Zucker, Jean-Daniel (2001)
  • Y. Chevaleyre, J.‑D. Zucker : “A framework for learning Multiple-Instance Decision Trees and Rule Sets”, European Conference on Machine Learning, vol. 2167, Lecture Notes in Computer Science, Freiburg, Germany, pp. 49-60, (Springer Verlag) (2001)
  • Y. Chevaleyre, J.‑D. Zucker : “Solving Multiple-Instance and Multiple-Part Learning Problems with Decision Trees and Rule Sets. Application to the Mutagenesis Problem”, Canadian Conference on AI 2001, vol. 2056, Lecture Notes in Computer Science, Ottawa, Canada, pp. 204-214, (Springer) (2001)
  • Y. Chevaleyre, J.‑D. Zucker : “Algorithmes pour l’Apprentissage de Règles a partir de Données Multi-Instances”, Conférence Apprentissage, Grenoble, France (2001)
• 2000
  • Y. Chevaleyre, J.‑D. Zucker : “Noise-Tolerant Rule Induction from Multi-Instance Data”, ICML 2000 Workshop on Attribute-Value and Relational Learning: Crossing the Boundaries, Stanford, United States, pp. 47-52 (2000)
  • J.‑D. Zucker, Y. Chevaleyre : “Solving multiple-instance and multiple-part learning problems with decision trees and decision rules. Application to the mutagenesis problem”, (2000)