DECISION - Conférences

Équipes actuelles :	ACASA ALMASTY ALSOC APR BD CIAN ComplexNetworks DECISION DELYS LFI MLIA MOCAH MoVe NPA PEQUAN Phare PolSys QI RO SMA SYEL
Ancienne équipe :	Whisper

Publications DECISION	2016	2017	2018	2019	2020	2021	Total
Livres	0	0	0	0	0	0	0
Éditions de livres	1	0	1	0	0	0	2
Articles de revues	15	12	8	4	5	1	45
Chapitres de livres	2	1	0	0	3	0	6
Conférences	24	14	10	19	21	3	91
Habilitations	1	0	0	0	0	0	1
Thèses	3	4	1	0	1	1	10

LIP6

N. Benabbou, C. Leroy, Th. Lust, P. Perny : “Combining Local Search and Elicitation for Multi-Objective Combinatorial Optimization”, ADT 2019 - 6^th International Conference on Algorithmic Decision Theory, Durham, NC, United States [Benabbou 2019a]
N. Benabbou, M. Chakraborty, E. Elkind, Y. Zick : “Fairness Towards Groups of Agents in the Allocation of Indivisible Items”, The 28^th International Joint Conference on Artificial Intelligence (IJCAI'19), MACAO, China [Benabbou 2019b]
N. Benabbou, M. Chakraborty, X.‑V. Ho, J. Sliwinski, Y. Zick : “Un Problème d'Affectation avec des Contraintes de Diversité : Complexité et Prix de la Diversité”, 18 ème conférence ROADEF société Française de Recherche Opérationnelle et d’Aide à la Décision, Le Havre, France [Benabbou 2019c]
N. Benabbou, Th. Lust : “A General Interactive Approach for Solving Multi-Objective Combinatorial Optimization Problems with Imprecise Preferences”, The International Symposium on Combinatorial Search (SoCS'19), Napa, United States [Benabbou 2019e]
N. Benabbou, Th. Lust : “An Interactive Polyhedral Approach for Multi-Objective Combinatorial Optimization with Incomplete Preference Information”, SUM 2019 - The 13^th international conference on Scalable Uncertainty Management, Compiègne, France [Benabbou 2019f]
N. Bourdache, P. Perny : “Active Preference Learning based on Generalized Gini Functions: Application to the Multiagent Knapsack Problem”, Thirty-Third AAAI Conference on Artificial Intelligence (AAAI 2019), Honolulu, United States [Bourdache 2019a]
N. Bourdache, P. Perny : “Algorithmes d'élicitation incrémentale des préférences pour la résolution de problèmes de sac-à-dos multi-agents équitables”, ROADEF, Le Havre, France [Bourdache 2019b]
N. Bourdache, P. Perny, O. Spanjaard : “Active Preference Elicitation by Bayesian Updating on Optimality Polyhedra”, SUM 2019 - 13^th international conference on Scalable Uncertainty Management, vol. 11940, Lecture Notes in Computer Science, Compiègne, France, pp. 93-106, (Springer) [Bourdache 2019c]
N. Bourdache, P. Perny, O. Spanjaard : “Incremental Elicitation of Rank-Dependent Aggregation Functions based on Bayesian Linear Regression”, Proceedings of IJCAI 2019, Macao, China, pp. 2023-2029, (International Joint Conferences on Artificial Intelligence Organization) [Bourdache 2019d]
V. Delcroix, P.‑H. Wuillemin : “An early guidance system for a general knowledge-based aiding framework using probabilistic interventions”, Actes JAIAF Journées de l’Intelligence Artificielle Fondamentale 2019, Toulouse, France, pp. 81-90, (Association française pour l'Intelligence Artificielle (AFIA)) [Delcroix 2019]
H. Gilbert, O. Spanjaard : “Optimisation de l'indice de Gini généralisé dans le problème des mariages stables : complexité et approximation”, 20ème congrès annuel de la Société française de recherche opérationnelle et d’aide à la décision, Le Havre, France [Gilbert 2019a]
Th. Hilaire, H. Ouzia, B. Lopez : “Optimal Word-Length Allocation for the Fixed-Point Implementation of Linear Filters and Controllers”, ARITH 2019 - IEEE 26^th Symposium on Computer Arithmetic, Kyoto, Japan, pp. 175-182, (IEEE) [Hilaire 2019]
H. Martin, P. Perny : “BiOWA for Preference Aggregation with Bipolar Scales: Application to Fair Optimization in Combinatorial Domains”, Proceedings of the Twenty-Eighth International Joint Conference on Artificial Intelligence (IJCAI-19), Macao, China, pp. 1822-1828, (International Joint Conferences on Artificial Intelligence Organization) [Martin 2019a]
H. Martin, P. Perny : “Computational Models for Cumulative Prospect Theory: Application to the Knapsack Problem Under Risk”, International Conference on Scalable Uncertainty Management, vol. 11940, Lecture Notes in Computer Science, Compiègne, France, pp. 52-65, (Springer) [Martin 2019b]
M. Munch, J. Dibie‑Barthelemy, P.‑H. Wuillemin, C. Manfredotti : “Interactive Causal Discovery in Knowledge Graphs”, PROFILES/SEMEX@ISWC 2019, vol. 2465, CEUR Workshop Proceedings, Auckland, New Zealand, pp. 78-93, (CEUR-WS.org) [Munch 2019a]
M. Munch, J. Dibie‑Barthelemy, P.‑H. Wuillemin, C. Manfredotti : “Towards Interactive Causal Relation Discovery Driven by an Ontology”, FLAIRS 32, Sarasota, United States [Munch 2019b]
B. Napolitano, O. Cailloux, P. Viappiani : “Simultaneous Elicitation of Committee and Voters' Preferences”, Rencontres des Jeunes Chercheurs en Intelligence Artificielle 2019, Actes des Rencontres des Jeunes Chercheurs en Intelligence Artificielle 2019, Toulouse, France, pp. 59-62 [Napolitano 2019]
O. Nefla, M. Öztürk, P. Viappiani, I. Brigui‑Chtioui : “Interactive Elicitation of a Majority Rule Sorting Model with Maximum Margin Optimization”, Algorithmic Decision Theory: 6^th International Conference, ADT 2019, Durham, NC, USA, October 25–27, 2019, Proceedings, Durham, NC, United States [Nefla 2019]
L. Zaleski, I. Alvarez, J.‑P. Briot, M. De Azevedo Irving : “Viaduc : Un assistant de viabilité pour la négociation dans un éco-socio-système”, 17èmes Rencontres des Jeunes Chercheurs en Intelligence Artificielle (RJCIA 2019), Toulouse, France, pp. 43-53 [Zaleski 2019b]