Louenas Bounia

According to our database, Louenas Bounia authored at least 16 papers between 2021 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

Enhancing the intelligibility of decision trees with concise and reliable probabilistic explanations.

Louenas Bounia, Insaf Setitra

Data Knowl. Eng., 2025

2024

Enhancing the Intelligibility of Boolean Decision Trees with Concise and Reliable Probabilistic Explanations.

Louenas Bounia

Proceedings of the Information Processing and Management of Uncertainty in Knowledge-Based Systems, 2024

Approximation des explications probabilistes via la minimisation super-modulaire.

Louenas Bounia, Frédéric Koriche

Proceedings of the Extraction et Gestion des Connaissances, 2024

Améliorer l'intelligibilité des arbres de décision avec des explications probabilistes concises et fiables.

Louenas Bounia

Proceedings of the Extraction et Gestion des Connaissances, 2024

2023

Modéles formels pour l'IA explicable: des explications pour les arbres de décision. (Formal Models for Explainable AI: Explanations for Decision Trees).

Louenas Bounia

PhD thesis, 2023

Approximating probabilistic explanations via supermodular minimization.

Louenas Bounia, Frédéric Koriche

Proceedings of the Uncertainty in Artificial Intelligence, 2023

Impact of Weight Functions on Preferred Abductive Explanations for Decision Trees.

Louenas Bounia, Matthieu Goliot, Anasse Chafik

Proceedings of the Workshops at the 31st International Conference on Case-Based Reasoning (ICCBR-WS 2023) co-located with the 31st International Conference on Case-Based Reasoning (ICCBR 2023), 2023

PyXAI : calculer en Python des explications pour des modèles d'apprentissage supervisé.

Gilles Audemard, Steve Bellart, Louenas Bounia, Jean-Marie Lagniez, Pierre Marquis, Nicolas Szczepanski

Proceedings of the Extraction et Gestion des Connaissances, 2023

Sur les explications abductives préférées pour les arbres de décision et les forêts aléatoires.

Gilles Audemard, Steve Bellart, Louenas Bounia, Frédéric Koriche, Jean-Marie Lagniez, Pierre Marquis

Proceedings of the Extraction et Gestion des Connaissances, 2023

2022

On the explanatory power of Boolean decision trees.

Gilles Audemard, Steve Bellart, Louenas Bounia, Frédéric Koriche, Jean-Marie Lagniez, Pierre Marquis

Data Knowl. Eng., 2022

On Preferred Abductive Explanations for Decision Trees and Random Forests.

Gilles Audemard, Steve Bellart, Louenas Bounia, Frédéric Koriche, Jean-Marie Lagniez, Pierre Marquis

Proceedings of the Thirty-First International Joint Conference on Artificial Intelligence, 2022

Sur le pouvoir explicatif des arbres de décision.

Gilles Audemard, Steve Bellart, Louenas Bounia, Frédéric Koriche, Jean-Marie Lagniez, Pierre Marquis

Proceedings of the Extraction et Gestion des Connaissances, 2022

Les raisons majoritaires : des explications abductives pour les forêts aléatoires.

Gilles Audemard, Steve Bellart, Louenas Bounia, Frédéric Koriche, Jean-Marie Lagniez, Pierre Marquis

Proceedings of the Extraction et Gestion des Connaissances, 2022

Trading Complexity for Sparsity in Random Forest Explanations.

Gilles Audemard, Steve Bellart, Louenas Bounia, Frédéric Koriche, Jean-Marie Lagniez, Pierre Marquis

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

On the Explanatory Power of Decision Trees.

Gilles Audemard, Steve Bellart, Louenas Bounia, Frédéric Koriche, Jean-Marie Lagniez, Pierre Marquis

CoRR, 2021

On the Computational Intelligibility of Boolean Classifiers.

Gilles Audemard, Steve Bellart, Louenas Bounia, Frédéric Koriche, Jean-Marie Lagniez, Pierre Marquis

Proceedings of the 18th International Conference on Principles of Knowledge Representation and Reasoning, 2021