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Books and Theses
- 2023
[b1]Louenas Bounia:
Modéles formels pour l'IA explicable: des explications pour les arbres de décision. (Formal Models for Explainable AI: Explanations for Decision Trees). Artois University, Arras, France, 2023
Journal Articles
- 2025
- [j2]Louenas Bounia, Insaf Setitra:
Enhancing the intelligibility of decision trees with concise and reliable probabilistic explanations. Data Knowl. Eng. 156: 102394 (2025) - 2022
- [j1]Gilles Audemard, Steve Bellart, Louenas Bounia, Frédéric Koriche, Jean-Marie Lagniez, Pierre Marquis
:
On the explanatory power of Boolean decision trees. Data Knowl. Eng. 142: 102088 (2022)
Conference and Workshop Papers
- 2024
- [c12]Louenas Bounia:
Améliorer l'intelligibilité des arbres de décision avec des explications probabilistes concises et fiables. EGC 2024: 23-34 - [c11]Louenas Bounia, Frédéric Koriche:
Approximation des explications probabilistes via la minimisation super-modulaire. EGC 2024: 361-368 - [c10]Louenas Bounia:
Enhancing the Intelligibility of Boolean Decision Trees with Concise and Reliable Probabilistic Explanations. IPMU (1) 2024: 205-218 - 2023
- [c9]Gilles Audemard, Steve Bellart, Louenas Bounia, Frédéric Koriche, Jean-Marie Lagniez, Pierre Marquis:
Sur les explications abductives préférées pour les arbres de décision et les forêts aléatoires. EGC 2023: 507-514 - [c8]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. EGC 2023: 581-588 - [c7]Louenas Bounia, Matthieu Goliot, Anasse Chafik:
Impact of Weight Functions on Preferred Abductive Explanations for Decision Trees. ICCBR Workshops 2023: 158-171 - [c6]Louenas Bounia, Frédéric Koriche:
Approximating probabilistic explanations via supermodular minimization. UAI 2023: 216-225 - 2022
- [c5]Gilles Audemard, Steve Bellart, Louenas Bounia, Frédéric Koriche, Jean-Marie Lagniez, Pierre Marquis:
Trading Complexity for Sparsity in Random Forest Explanations. AAAI 2022: 5461-5469 - [c4]Gilles Audemard, Steve Bellart, Louenas Bounia, Frédéric Koriche, Jean-Marie Lagniez, Pierre Marquis:
Les raisons majoritaires : des explications abductives pour les forêts aléatoires. EGC 2022: 123-134 - [c3]Gilles Audemard, Steve Bellart, Louenas Bounia, Frédéric Koriche, Jean-Marie Lagniez, Pierre Marquis:
Sur le pouvoir explicatif des arbres de décision. EGC 2022: 147-158 - [c2]Gilles Audemard, Steve Bellart, Louenas Bounia, Frédéric Koriche, Jean-Marie Lagniez, Pierre Marquis:
On Preferred Abductive Explanations for Decision Trees and Random Forests. IJCAI 2022: 643-650 - 2021
- [c1]Gilles Audemard, Steve Bellart, Louenas Bounia, Frédéric Koriche, Jean-Marie Lagniez, Pierre Marquis:
On the Computational Intelligibility of Boolean Classifiers. KR 2021: 74-86
Informal and Other Publications
- 2021
- [i3]Gilles Audemard, Steve Bellart, Louenas Bounia, Frédéric Koriche, Jean-Marie Lagniez, Pierre Marquis:
On the Computational Intelligibility of Boolean Classifiers. CoRR abs/2104.06172 (2021) - [i2]Gilles Audemard, Steve Bellart, Louenas Bounia, Frédéric Koriche, Jean-Marie Lagniez, Pierre Marquis:
On the Explanatory Power of Decision Trees. CoRR abs/2108.05266 (2021) - [i1]Gilles Audemard, Steve Bellart, Louenas Bounia, Frédéric Koriche, Jean-Marie Lagniez, Pierre Marquis:
Trading Complexity for Sparsity in Random Forest Explanations. CoRR abs/2108.05276 (2021)
Coauthor Index
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