| Issues in multiagent resource allocation Y Chevaleyre, PE Dunne, U Endriss, J Lang, M Lemaitre, N Maudet, ... | 615 | 2005 |
| A short introduction to computational social choice Y Chevaleyre, U Endriss, J Lang, N Maudet International Conference on Current Trends in Theory and Practice of …, 2007 | 321 | 2007 |
| Theoretical analysis of the multi-agent patrolling problem Y Chevaleyre Proceedings. IEEE/WIC/ACM International Conference on Intelligent Agent …, 2004 | 317 | 2004 |
| Recent advances on multi-agent patrolling A Almeida, G Ramalho, H Santana, P Tedesco, T Menezes, V Corruble, ... Brazilian Symposium on Artificial Intelligence, 474-483, 2004 | 213 | 2004 |
| Solving multiple-instance and multiple-part learning problems with decision trees and rule sets. Application to the mutagenesis problem Y Chevaleyre, JD Zucker Conference of the Canadian Society for Computational Studies of Intelligence …, 2001 | 143 | 2001 |
| Fair Allocation of Indivisible Goods. S Bouveret, Y Chevaleyre, N Maudet Handbook of computational social choice, 284-310, 2016 | 110 | 2016 |
| Multiagent resource allocation with k-additive utility functions Y Chevaleyre, U Endriss, S Estivie, N Maudet Proc. DIMACS-LAMSADE workshop on computer science and decision theory 3, 83-100, 2004 | 88* | 2004 |
| Learning conditionally lexicographic preference relations. R Booth, Y Chevaleyre, J Lang, J Mengin, C Sombattheera ECAI 10, 269-274, 2010 | 85 | 2010 |
| Reaching envy-free states in distributed negotiation settings Y Chevaleyre, U Endriss, S Estivie, N Maudet IJCAI 7, 1239-1244, 2007 | 80 | 2007 |
| Preference handling in combinatorial domains: From AI to social choice Y Chevaleyre, U Endriss, J Lang, N Maudet AI magazine 29 (4), 37-37, 2008 | 79 | 2008 |
| Expressive power of weighted propositional formulas for cardinal preference modelling Y Chevaleyre, U Endriss, J Lang Institute for Logic, Language and Computation (ILLC), University of Amsterdam, 2006 | 67 | 2006 |
| A theoretical analysis of multi-agent patrolling strategies Y Chevaleyre, F Sempe, G Ramalho AAMAS 4, 1524-1525, 2004 | 64 | 2004 |
| Multiagent resource allocation in k-additive domains: Preference representation and complexity Y Chevaleyre, U Endriss, S Estivie, N Maudet Annals of Operations Research 163 (1), 49-62, 2008 | 60 | 2008 |
| Possible winners when new candidates are added: The case of scoring rules Y Chevaleyre, J Lang, N Maudet, J Monnot Proceedings of the AAAI Conference on Artificial Intelligence 24 (1), 2010 | 56 | 2010 |
| Representing utility functions via weighted goals J Uckelman, Y Chevaleyre, U Endriss, J Lang Mathematical Logic Quarterly 55 (4), 341-361, 2009 | 55 | 2009 |
| Negotiating over small bundles of resources Y Chevaleyre, U Endriss, J Lang, N Maudet Proceedings of the Fourth International Joint Conference on Autonomous …, 2005 | 54 | 2005 |
| Simple negotiation schemes for agents with simple preferences: Sufficiency, necessity and maximality Y Chevaleyre, U Endriss, N Maudet Autonomous Agents and Multi-Agent Systems 20 (2), 234-259, 2010 | 50 | 2010 |
| Allocating goods on a graph to eliminate envy Y Chevaleyre, U Endriss, N Maudet Institute for Logic, Language and Computation (ILLC), University of Amsterdam, 2007 | 50 | 2007 |
| Learning ordinal preferences on multiattribute domains: The case of CP-nets Y Chevaleyre, F Koriche, J Lang, J Mengin, B Zanuttini Preference learning, 273-296, 2010 | 49 | 2010 |
| A framework for learning rules from multiple instance data Y Chevaleyre, JD Zucker European Conference on Machine Learning, 49-60, 2001 | 49 | 2001 |
Jean-Daniel ZuckerSenior Researcher, UMMISCO, IRD/Sorbonne University, FranceBestätigte E-Mail-Adresse bei ird.fr
