Publications

Articles de conférences internationales

2023 IA explicable Gilles Audemard, Jean-Marie Lagniez, Pierre Marquis, Nicolas Szczepanski, Computing Abductive Explanations for Boosted Trees in 26th International Conference on Artificial Intelligence and Statistics (AISTATS 2023),vol. 206, 2023.

2023 Gilles Audemard, Jean-Marie Lagniez, Pierre Marquis, Nicolas Szczepanski, On Contrastive Explanations for Tree-Based Classifiers in The 26th European Conference on Artificial Intelligence (ECAI'23),IOS Press, 2023.

2021 Contraintes Nicolas Szczepanski, Gilles Audemard, Laetitia Jourdan, Christophe Lecoutre, Lucien Mousin, Nadarajen Veerapen, A hybrid CP/MOLS approach for multi-objective imbalanced classification in GECCO '21: Genetic and Evolutionary Computation Conference,ACM, pp. 723-731, 2021.

2019 Contraintes Gilles Audemard, Gael Glorian, Jean-Marie Lagniez, Valentin Montmirail, Nicolas Szczepanski, pFactory: A generic library for designing parallel solvers in International Conference on Applied Computing (AC),2019.

2019 Contraintes Gael Glorian, Jean-Marie Lagniez, Valentin Montmirail, Nicolas Szczepanski, An Incremental SAT-Based Approach for Graph Colouring Problem in The 25th International Conference on Principles and Practice of Constraint Programming (CP'19),2019.

2018 Contraintes Jean-Marie Lagniez, Pierre Marquis, Nicolas Szczepanski, DMC: A Distributed Model Counter in 27th International Joint Conference on Artificial Intelligence (IJCAI'18),pp. 1331-1338, 2018.

2017 Gilles Audemard, Jean-Marie Lagniez, Nicolas Szczepanski, Sébastien Tabary, A Distributed Version of Syrup in 20th International Conference on Theory and Applications of Satisfiability Testing (SAT'17),pp. 215-232, 2017.

2016 Gilles Audemard, Jean-Marie Lagniez, Nicolas Szczepanski, Sébastien Tabary, An Adaptive SAT Solver in 22nd International Conference on Principles and Practice of Constraint Programming (CP'16),pp. 30-48, 2016.

Articles de conférences nationales

2023 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 in Extraction et Gestion des Connaissances, EGC,vol. RNTI-E-39, 2023.

2015 Jean-Marie Lagniez, Sébastien Tabary, Nicolas Szczepanski, Swarmsat : un solveur sat massivement parallèle. in 11èmes Journées Francophones de Programmation par Contraintes (JFPC'15),2015.

Rapports techniques

2021 Christophe Lecoutre, Nicolas Szczepanski, PyCSP3: Modeling Combinatorial Constrained Problems in Python 2021.