Louenas Bounia View the directory of former members
Personal Data
- poste
- bounia@cril.univ-artois.fr
- http://www.cril.univ-artois.fr/~bounia/
Degree prepared or obtained while being at CRIL
- PhD thesis : Formal models for explainable and robust AI 2023-12-22
Research Axes
- Knowledge
- Data
- Constraints
-
Recent Project
- ANR CHAIRE IA EXPEKCTATION 2020-2025
Software
Publications
International journals
2022 Explainable AI 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.
International conferences
2023 Explainable AI Louenas Bounia, Frederic Koriche, Approximating Probabilistic Explanations via Supermodular Minimization (Corrected Version) in Uncertainty in Artificial Intelligence (UAI 2023).,vol. 216, pp. 216--225, 2023.
2022 Explainable AI 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 Explainable AI 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 AI at the service of... 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.
National conferences
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.