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ORCIDNicolas Szczepanski
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2020 – today
- 2024
[c14]Gilles Audemard, Sylvie Coste-Marquis, Pierre Marquis, Mehdi Sabiri, Nicolas Szczepanski:
Designing an XAI Interface for Tree-Based ML Models. ECAI 2024: 1075-1082- [c13]Gilles Audemard, Jean-Marie Lagniez, Pierre Marquis, Nicolas Szczepanski:
On the Computation of Example-Based Abductive Explanations for Random Forests. IJCAI 2024: 3679-3687 - [c12]Gilles Audemard, Jean-Marie Lagniez, Pierre Marquis, Nicolas Szczepanski:
Deriving Provably Correct Explanations for Decision Trees: The Impact of Domain Theories. IJCAI 2024: 3688-3696 - [c11]Gilles Audemard, Jean-Marie Lagniez, Pierre Marquis, Nicolas Szczepanski:
PyXAI: An XAI Library for Tree-Based Models. IJCAI 2024: 8601-8605 - 2023
- [c10]Gilles Audemard, Jean-Marie Lagniez, Pierre Marquis, Nicolas Szczepanski:
Computing Abductive Explanations for Boosted Trees. AISTATS 2023: 4699-4711 - [c9]Gilles Audemard
, Jean-Marie Lagniez, Pierre Marquis, Nicolas Szczepanski:
On Contrastive Explanations for Tree-Based Classifiers. ECAI 2023: 117-124 - [c8]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. EGC 2023: 581-588 - 2022
- [i2]Gilles Audemard, Jean-Marie Lagniez, Pierre Marquis, Nicolas Szczepanski:
Computing Abductive Explanations for Boosted Trees. CoRR abs/2209.07740 (2022) - 2021
- [c7]Nicolas Szczepanski, Gilles Audemard, Laetitia Jourdan, Christophe Lecoutre, Lucien Mousin, Nadarajen Veerapen:
A hybrid CP/MOLS approach for multi-objective imbalanced classification. GECCO 2021: 723-731 - 2020
- [c6]Sara Tari, Nicolas Szczepanski, Lucien Mousin, Julie Jacques, Marie-Eléonore Kessaci, Laetitia Jourdan:
Multi-objective Automatic Algorithm Configuration for the Classification Problem of Imbalanced Data. CEC 2020: 1-8 - [c5]Nicolas Szczepanski, Lucien Mousin, Nadarajen Veerapen, Laetitia Jourdan:
Automatic Configuration of Multi-Thread Local Search: Preliminary Results on Bi-objective TSP. ICTAI 2020: 1241-1248 - [i1]Christophe Lecoutre, Nicolas Szczepanski:
PYCSP3: Modeling Combinatorial Constrained Problems in Python. CoRR abs/2009.00326 (2020)
2010 – 2019
- 2019
- [c4]Gael Glorian, Jean-Marie Lagniez, Valentin Montmirail, Nicolas Szczepanski:
An Incremental SAT-Based Approach to the Graph Colouring Problem. CP 2019: 213-231 - 2018
- [c3]Jean-Marie Lagniez, Pierre Marquis, Nicolas Szczepanski:
DMC: A Distributed Model Counter. IJCAI 2018: 1331-1338 - 2017
- [b1]Nicolas Szczepanski:
SAT en Parallèle. (SAT Parallel Computing). Artois University, Arras, France, 2017 - [c2]Gilles Audemard, Jean-Marie Lagniez, Nicolas Szczepanski, Sébastien Tabary:
A Distributed Version of Syrup. SAT 2017: 215-232 - 2016
- [c1]Gilles Audemard, Jean-Marie Lagniez, Nicolas Szczepanski, Sébastien Tabary:
An Adaptive Parallel SAT Solver. CP 2016: 30-48
Coauthor Index
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last updated on 2024-11-07 21:33 CET by the dblp team
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