Nicolas Szczepanski

20 papers A* 4A 7B 2Journal 4Unranked 2

Year	Rank	Type	Title / Venue / Authors
2025	J	`jnl`	A Rectification-Based Approach for Distilling Boosted Trees into Decision Trees. CoRR Gilles Audemard, Sylvie Coste-Marquis, Pierre Marquis, Mehdi Sabiri, Nicolas Szczepanski
2025	J	`jnl`	Leveraging Association Rules for Better Predictions and Better Explanations. CoRR Gilles Audemard, Sylvie Coste-Marquis, Pierre Marquis, Mehdi Sabiri, Nicolas Szczepanski
2025	—	`conf`	Une interface XAI pour des modèles d'apprentissage automatique à base d'arbres. EGC Gilles Audemard, Sylvie Coste-Marquis, Pierre Marquis, Mehdi Sabiri, Nicolas Szczepanski
2024	A*	`conf`	Deriving Provably Correct Explanations for Decision Trees: The Impact of Domain Theories. IJCAI Gilles Audemard, Jean-Marie Lagniez, Pierre Marquis, Nicolas Szczepanski
2024	A	`conf`	Designing an XAI Interface for Tree-Based ML Models. ECAI Gilles Audemard, Sylvie Coste-Marquis, Pierre Marquis, Mehdi Sabiri, Nicolas Szczepanski
2024	A*	`conf`	On the Computation of Example-Based Abductive Explanations for Random Forests. IJCAI Gilles Audemard, Jean-Marie Lagniez, Pierre Marquis, Nicolas Szczepanski
2024	A*	`conf`	PyXAI: An XAI Library for Tree-Based Models. IJCAI Gilles Audemard, Jean-Marie Lagniez, Pierre Marquis, Nicolas Szczepanski
2023	A	`conf`	Computing Abductive Explanations for Boosted Trees. AISTATS Gilles Audemard, Jean-Marie Lagniez, Pierre Marquis, Nicolas Szczepanski
2023	A	`conf`	On Contrastive Explanations for Tree-Based Classifiers. ECAI Gilles Audemard, Jean-Marie Lagniez, Pierre Marquis, Nicolas Szczepanski
2023	—	`conf`	PyXAI : calculer en Python des explications pour des modèles d'apprentissage supervisé. EGC Gilles Audemard, Steve Bellart, Louenas Bounia, Jean-Marie Lagniez, Pierre Marquis, Nicolas Szczepanski
2022	J	`jnl`	Computing Abductive Explanations for Boosted Trees. CoRR Gilles Audemard, Jean-Marie Lagniez, Pierre Marquis, Nicolas Szczepanski
2021	A	`conf`	A hybrid CP/MOLS approach for multi-objective imbalanced classification. GECCO Nicolas Szczepanski, Gilles Audemard, Laetitia Jourdan, Christophe Lecoutre, Lucien Mousin, Nadarajen Veerapen
2020	B	`conf`	Automatic Configuration of Multi-Thread Local Search: Preliminary Results on Bi-objective TSP. ICTAI Nicolas Szczepanski, Lucien Mousin, Nadarajen Veerapen, Laetitia Jourdan
2020	B	`conf`	Multi-objective Automatic Algorithm Configuration for the Classification Problem of Imbalanced Data. CEC Sara Tari, Nicolas Szczepanski, Lucien Mousin, Julie Jacques, Marie-Eléonore Kessaci, Laetitia Jourdan
2020	J	`jnl`	PYCSP3: Modeling Combinatorial Constrained Problems in Python. CoRR Christophe Lecoutre, Nicolas Szczepanski
2019	A	`conf`	An Incremental SAT-Based Approach to the Graph Colouring Problem. CP Gael Glorian, Jean-Marie Lagniez, Valentin Montmirail, Nicolas Szczepanski
2018	A*	`conf`	DMC: A Distributed Model Counter. IJCAI Jean-Marie Lagniez, Pierre Marquis, Nicolas Szczepanski
2017	A	`conf`	A Distributed Version of Syrup. SAT Gilles Audemard, Jean-Marie Lagniez, Nicolas Szczepanski, Sébastien Tabary
2017	—	`—`	SAT en Parallèle. (SAT Parallel Computing). Nicolas Szczepanski
2016	A	`conf`	An Adaptive Parallel SAT Solver. CP Gilles Audemard, Jean-Marie Lagniez, Nicolas Szczepanski, Sébastien Tabary