Publications

Articles de revues internationales

2024 IA explicable Jérémie Bottieau, Gilles Audemard, Steve Bellart, J-M. Lagniez, P. Marquis, Nicolas Szczepanski, Jean-François Toubeau, Logic-based explanations of imbalance price forecasts using boosted trees in Electric Power Systems Research,vol. 235, pp. 110699, 2024.

2022 IA explicable Gilles Audemard, Steve Bellart, Louenas Bounia, Frédéric Koriche, Jean-Marie Lagniez, Pierre Marquis, On the Explanatory Power of Boolean Decision Trees in Data and Knowledge Engineering,vol. 142, pp. 102088, 2022.

Articles de conférences internationales

2023 IA explicable Gilles Audemard, Steve Bellart, Jean-Marie Lagniez, Pierre Marquis, Computing Abductive Explanations for Boosted Regression Trees in Thirty-Second International Joint Conference on Artificial Intelligence {IJCAI-23},International Joint Conferences on Artificial Intelligence Organization, pp. 3432-3441, 2023.

2022 IA explicable Gilles Audemard, Steve Bellart, Louenas Bounia, Frederic Koriche, Jean-Marie Lagniez, Pierre Marquis, On Preferred Abductive Explanations for Decision Trees and Random Forests in Thirty-First International Joint Conference on Artificial Intelligence {IJCAI-22},International Joint Conferences on Artificial Intelligence Organization, pp. 643-650, 2022.

2022 IA explicable Gilles Audemard, Steve Bellart, Louenas Bounia, Frédéric Koriche, Jean-Marie Lagniez, Pierre Marquis, Trading Complexity for Sparsity in Random Forest Explanations in AAAI Conference on Artificial Intelligence,2022.

2021 IA au service de... Gilles Audemard, Steve Bellart, Louenas Bounia, Frédéric Koriche, Jean-Marie Lagniez, Pierre Marquis, On the Computational Intelligibility of Boolean Classifiers in 18th International Conference on Principles of Knowledge Representation and Reasoning {KR-2021},International Joint Conferences on Artificial Intelligence Organization, pp. 74-86, 2021.

Articles de conférences nationales

2023 Gilles Audemard, Steve Bellart, Louenas Bounia, Frederic Koriche, Jean-Marie Lagniez, Pierre Marquis, Sur les explications abductives préférées pour les arbres de décision et les forêts aléatoires in Extraction et Gestion des Connaissances, EGC,vol. RNTI-E-39, 2023.

2023 Gilles Audemard, Steve Bellart, Louenas Bounia, Jean-Marie Lagniez, Pierre Marquis, Nicolas Szczepanski, PyXAI : calculer en Python des explications pour des modèles d'apprentissage supervisé in Extraction et Gestion des Connaissances, EGC,vol. RNTI-E-39, 2023.

2022 Gilles Audemard, Steve Bellart, Louenas Bounia, Frédéric Koriche, Jean-Marie Lagniez, Pierre Marquis, Les raisons majoritaires : des explications abductives pour les forêts aléatoires in 22ème Conférence francophone sur l'Extraction et Gestion des Connaissances (EGC 2022),Editions RNTI, pp. 123-134, 2022.

2022 Gilles Audemard, Steve Bellart, Louenas Bounia, Frédéric Koriche, Jean-Marie Lagniez, Pierre Marquis, Sur le pouvoir explicatif des arbres de décision in Extraction et Gestion des Connaissances, EGC,Editions RNTI, vol. E-38, pp. 147-158, 2022.