A Comparative Review of Probabilistic Inference for Timescale Graphical Event Models
El Mokhtar Hribach, Julien Blanchard, Philippe Leray.
2026
Conference papers
Forward sampling for State Variable Graphical Event Models with Markovian and piecewise constant dependencies
Moustafa Said Hawchar, Philippe Leray, Yanis Ouerdani, Pierre Jannin.
2026
Conference papers
Une extension des modèles graphiques de durée pour estimer l'évolution des coûts de maintenance dans le logement résidentiel
Julien Blanchard, Philippe Leray, Florianne Marandel, Thomas Piton.
2023
Conference papers
Apprentissage multi-tâches par transfert de structures de réseaux bayésiens
Sarah Benikhlef, Philippe Leray, Guillaume Raschia, Montassar Ben Messaoud, Fayrouz Sakly.
2021
Conference papers
Multi-Task Transfer Learning for Bayesian Network Structures
Sarah Benikhlef, Philippe Leray, Guillaume Raschia, Ben Messaoud, Fayrouz Sakly.
2021
Conference papers
Réseau bayésien en toxicologie clinique Gradation de l'envenimation vipérine
Giovanni Mazzobel, David Boels, Philippe Leray.
2021
Conference papers
Unsupervised co-training of bayesian networks for condition prediction
Mathilde Monvoisin, Philippe Leray, Mathieu Ritou.
2021
Conference papers
Unsupervised co-training of Bayesian networks for condition prediction
Mathilde Monvoisin, Philippe Leray, Mathieu Ritou.
2021
Conference papers
Unsupervised condition monitoring with bayesian networks: an application on high speed machining
Mathilde Monvoisin, Philippe Leray, Mathieu Ritou.
2021
Conference papers
Belief Graphical Models for Uncertainty representation and reasoning
Salem Benferhat, Philippe Leray, Karim Tabia.
2020
Book sections
Pages – 1 – 2 – 3 – 4 – 5