[PDF][PDF] Améliorer l'intelligibilité des arbres de décision avec des explications probabilistes concises et fiables

L Bounia - Conférence francophone sur l'Extraction et la Gestion …, 2024 - hal.science
Ce travail traite de l'intelligence artificielle explicable (IA explicable), en particulier
l'amélioration de l'intelligibilité des arbres de décision à l'aide des explications probabilistes …

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

L Bounia, M Goliot, A Chafik - ICCBR Workshops, 2023 - ceur-ws.org
In this article, our main objective is to address the issue of diversity in abductive
explanations for decision trees by studying the impact of different weight functions on …

Optimization of passenger flows and resources management through machine learning and constraint programming techniques

T Falque - 2023 - univ-artois.hal.science
The aviation industry serves as a critical connector in today's globalized world, enabling
millions to travel, conduct business, and engage with diverse cultures. Key to this …

Predictive models & reasoning with explanations

R Boumazouza - 2022 - hal.science
This thesis studies the problem of explaining individual predictions of black-box machine
learning models. This problem is addressed in both single and multi-label classification …