| Current teams : | ALMASTY ALSOC APR BD CIAN ComplexNetworks DECISION DELYS LFI MOCAH MoVe NPA PEQUAN PolSys QI RO SMA SYEL |
| Former team : | ACASA |
| Publications DECISION | 2023 | 2024 | Total |
|---|---|---|---|
| Books | 0 | 0 | 0 |
| Edited books | 0 | 0 | 0 |
| Journal articles | 2 | 7 | 9 |
| Book chapters | 0 | 0 | 0 |
| Conference papers | 13 | 7 | 20 |
| Habilitations | 0 | 1 | 1 |
| Thesis | 1 | 2 | 3 |
- C. Charon, P.‑H. Wuillemin, J. Belmin : “Improving Pressure Ulcers Prediction in Nursing Homes with ML Algorithm”, Caring is Sharing – Exploiting the Value in Data for Health and Innovation, vol. 302, Studies in Health Technology and Informatics, Göteborg, Sweden, pp. 350-351, (IOS Press) [Charon 2023a]
- C. Charon, P.‑H. Wuillemin, J. Belmin : “Machine learning pour la prédiction d’escarre chez les résidents en institution”, CIFGG (Congrès International Francophone de Gérontologie et Gériatrie), Montréal, Canada [Charon 2023b]
- C. Charon, P.‑H. Wuillemin, J. Belmin : “Réseaux bayésiens pour la prédiction d'escarre chez les personnes âgés en institution”, JFRB 2023 : 11èmes Journées Francophones sur les Réseaux Bayésiens et les Modèles Graphiques Probabilistes, Nantes, France [Charon 2023c]
- Ch. Dang, C. Bazgan, T. Cazenave, M. Chopin, P.‑H. Wuillemin : “Warm-Starting Nested Rollout Policy Adaptation with Optimal Stopping”, 37th AAAI Conference on Artificial Intelligence, vol. 37 (10), Proceedings of the AAAI Conference on Artificial Intelligence, Washington, D.C., United States, pp. 12381-12389 [Dang 2023]
- B. Escoffier, O. Spanjaard, M. Tydrichová : “Algorithmic Recognition of 2-Euclidean Preferences”, Proceedings of ECAI 2023, vol. 372, Frontiers in Artificial Intelligence and Applications, Krakow (Cracovie), Poland, pp. 637-644, (IOS Press), (ISBN: 978-1-64368-437-6) [Escoffier 2023]
- H. Gilbert, M. Ouaguenouni, M. Öztürk, O. Spanjaard : “A Hybrid Approach to Preference Learning with Interaction Terms”, Proceedings of ECAI 2023, vol. 372, Frontiers in Artificial Intelligence and Applications, Krakow (Cracovie), Poland, pp. 835-842, (IOS Press), (ISBN: 978-1-64368-437-6) [Gilbert 2023a]
- H. Gilbert, M. Ouaguenouni, M. Öztürk, O. Spanjaard : “Régression ordinale robuste pour l'élicitation de préférences multi-attributs avec synergies entre attributs”, 24ème congrès annuel de la société française de recherche opérationnelle et d'aide à la décision (ROADEF 2023), Rennes, France [Gilbert 2023b]
- H. Gilbert, M. Ouaguenouni, M. Öztürk, O. Spanjaard : “Robust Ordinal Regression for Collaborative Preference Learning with Opinion Synergies”, The 22nd International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2023), Londres, United Kingdom, pp. 2439-2441, (International Foundation for Autonomous Agents and Multiagent Systems) [Gilbert 2023c]
- N. Gross‑Humbert, N. Benabbou, A. Beynier, N. Maudet : “On the Notion of Envy Among Groups of Agents in House Allocation Problems”, 26th European Conference on Artificial Intelligence, vol. 372, Frontiers in Artificial Intelligence and Applications, Krakow, Poland, pp. 924-931, (IOS Press) [Gross-Humbert 2023]
- M. HADJ ALI, P.‑H. Wuillemin, Y. Le Biannic : “Interprétation causale des modèles prédictifs : paradoxes et solution”, 11èmes Journées Francophones des Réseaux Bayésiens et des Modèles Graphiques Probabiliste (JFRB 2023), Nantes, France [HADJ ALI 2023a]
- M. HADJ ALI, Y. Le Biannic, P.‑H. Wuillemin : “Interpreting Predictive Models through Causality: A Query-Driven Methodology”, The International FLAIRS Conference Proceedings, vol. 36 (1), ClearWater, FL, United States [HADJ ALI 2023b]
- M. Herin, P. Perny, N. Sokolovska : “Learning Preference Models with Sparse Interactions of Criteria”, IJCAI 2023 - The 32nd International Joint Conference On Artificial Intelligence, Macao, China [Herin 2023]
- M. Munch, K. Kansou, B. Bredeweg, C. Baudrit, P.‑H. Wuillemin : “Grounding Causality in Bayesian Networks Using Qualitative Reasoning”, QR@ECAI23, Krakow, Poland [Munch 2023]