DECISION - Conference papers

Current teams :

ALMASTY ALSOC APR BD CIAN ComplexNetworks DECISION DELYS LFI MOCAH MoVe NPA PEQUAN PolSys QI RO SMA SYEL

Publications DECISION	2023	2024	2025	Total
Books	0	0	0	0
Edited books	0	0	0	0
Journal articles	2	7	1	10
Book chapters	0	0	0	0
Conference papers	13	8	0	21
Habilitations	0	1	0	1
Thesis	1	2	0	3

LIP6

N. Benabbou, C. Leroy, Th. Lust : “An Interactive Regret-Based Genetic Algorithm for Solving Multi-Objective Combinatorial Optimization Problems”, Proceedings of the 34^th AAAI Conference on Artificial Intelligence (AAAI'20), New York, United States [Benabbou 2020a]
N. Benabbou, C. Leroy, Th. Lust : “Élicitation Incrémentale combinée à la Recherche Heuristique pour l'Optimisation Combinatoire Multi-objectifs”, 21ème congrès annuel de la société française de recherche opérationnelle et d'aide à la décision, Montpellier, France [Benabbou 2020b]
N. Benabbou, C. Leroy, Th. Lust : “Regret-Based Elicitation for Solving Multi-Objective Knapsack Problems with Rank-Dependent Aggregators”, The 24^th European Conference on Artificial Intelligence (ECAI'20), Saint Jacques de Compostelle, Spain [Benabbou 2020c]
N. Benabbou, M. Chakraborty, A. Igarashi, Y. Zick : “Finding Fair and Efficient Allocations When Valuations Don't Add Up”, The 13^th Symposium on Algorithmic Game Theory (SAGT 2020), vol. 12283, Lecture Notes in Computer Science, Augsburg (Virtual Conference), Germany, pp. 32-46, (Springer) [Benabbou 2020d]
N. Benabbou, M. Chakraborty, E. Elkind, Y. Zick : “Fairness Towards Groups of Agents in the Allocation of Indivisible Items”, The Fair Allocation in Multiagent Systems, Montréal, Canada [Benabbou 2020e]
N. Benabbou, M. Chakraborty, E. Elkind, Y. Zick : “Partage Équitable de Ressources à des Groupes d'Agents”, ROADEF 2020 - 21ème congrès annuel de la société Française de Recherche Opérationnelle et d’Aide à la Décision, Montpellier, France [Benabbou 2020f]
N. Bourdache, P. Perny, O. Spanjaard : “Bayesian preference elicitation for multiobjective combinatorial optimization”, DA2PL 2020 - From Multiple Criteria Decision Aid to Preference Learning, Trento, Italy [Bourdache 2020a]
N. Bourdache, P. Perny, O. Spanjaard : “Élicitation incrémentale de préférences par mise à jour Bayésienne sur des zones d'optimalité”, ROADEF 2020 - 21ème congrès annuel de la société Française de Recherche Opérationnelle et d'Aide à la Décision, Montpellier, France [Bourdache 2020b]
M. Caillat, N. Darcel, C. Manfredotti, P. Viappiani : “Bayesian Vote Elicitation for Group Recommendations”, From Multiple Criteria Decision Aid to Preference Learning (DA2PL 2020), Trento, Italy [Caillat 2020]
G. Ducamp, Ch. Gonzales, P.‑H. Wuillemin : “aGrUM/pyAgrum : a toolbox to build models and algorithms for Probabilistic Graphical Models in Python”, 10^th International Conference on Probabilistic Graphical Models, vol. 138, Proceedings of Machine Learning Research, Skørping, Denmark, pp. 609-612 [Ducamp 2020a]
G. Ducamp, Ph. Bonnard, A. Nouy, P.‑H. Wuillemin : “An Efficient Low-Rank Tensors Representation for Algorithms in Complex Probabilistic Graphical Models”, 10^th International Conference on Probabilistic Graphical Models, vol. 138, Proceedings of Machine Learning Research, Skørping, Denmark, pp. 173-184 [Ducamp 2020b]
G. Ducamp, Ph. Bonnard, Ch. De Sainte Marie, P.‑H. Wuillemin : “Advanced Syntax and Compilation for Probabilistic Production Rules with PRM”, 14^th International Rule Challenge, 4^th Doctoral Consortium, and 6^th Industry Track, vol. 2644, Proceedings of the 14^th International Rule Challenge, 4^th Doctoral Consortium, and 6^th Industry Track, Oslo, Norway, pp. 103-110 [Ducamp 2020c]
G. Ducamp, Ph. Bonnard, P.‑H. Wuillemin : “Uncertain Reasoning in Rule-Based Systems Using PRM”, FLAIRS 33 - 33rd Florida Artificial Intelligence Research Society Conference, Miami, United States, pp. 617-620, (AAAI) [Ducamp 2020d]
B. Escoffier, O. Spanjaard, M. Tydrichová : “Recognizing Single-Peaked Preferences on an Arbitrary Graph: Complexity and Algorithms”, Proceedings of the 13^th International Symposium on Algorithmic Game Theory, SAGT 2020, vol. 12283, Lecture Notes in Computer Science, Augsburg, Germany, pp. 291-306, (Springer) [Escoffier 2020c]
H. Gilbert, T. Portoleau, O. Spanjaard : “Beyond Pairwise Comparisons in Social Choice: A Setwise Kemeny Aggregation Problem”, Proceedings of the AAAI Conference on Artificial Intelligence, vol. 34 (02), Proceedings of the AAAI Conference on Artificial Intelligence, New York, United States, pp. 1982-1989 [Gilbert 2020]
A. Khannoussi, N. Benabbou, A. Olteanu, P. MEYER : “Incremental elicitation of the criteria weights of SRMP using a regret-based query selection strategy”, DA2PL 2020: From Multiple Criteria Decision Aid to Preference Learning, Trento (virtual), Italy [Khannoussi 2020]
M. Lasserre, R. Lebrun, P.‑H. Wuillemin : “Constraint-Based Learning for Non-Parametric Continuous Bayesian Networks”, FLAIRS 33 - 33rd Florida Artificial Intelligence Research Society Conference, Miami, United States, pp. 581-586, (AAAI) [Lasserre 2020]
H. Martin, P. Perny : “New Computational Models for the Choquet Integral”, 24^th European Conference on Artificial Intelligence - ECAI 2020, Santiago, Spain [Martin 2020]
O. Nefla, I. Brigui, P. Viappiani, O. Raboun : “Agent-based ordinal classification for group decision making”, The 2020 IEEE/WIC/ACM International Joint Conference on Web Intelligence and Intelligent Agent Technology (WI-IAT'20), Melbourne (en virtuel), Australia [Nefla 2020a]
O. Nefla, M. Öztürk, P. Viappiani, I. Brigui‑Chtioui, O. Raboun : “Group-based Ordinal Classification based on a Negotiation Process”, Rencontre des Jeunes Chercheur·ses en Intelligence Artificielle, Angers, France, pp. 50-52, (Association française pour l'intelligence artificielle) [Nefla 2020b]
A. Rico, P. Viappiani : “Incremental Elicitation of Capacities for the Sugeno Integral with a Maximin Approach”, 14^th International Conference on Scalable Uncertainty Management (SUM 2020), Bolzano, Italy [Rico 2020]
F. Toffano, N. Wilson, P. Viappiani : “Efficient Exact Computation of Setwise Minimax Regret”, The 19^th workshop on Constraint Modelling and Reformulation (ModRef 2020), Louvain-la-Neuve, Belgium [Toffano 2020]