[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 …
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.
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 …
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 …
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 …
learning models. This problem is addressed in both single and multi-label classification …