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PyXAI : calculer en Python des explications pour des modèles d'apprentissage supervisé.

G. Audemard, S. Bellart, L. Bounia, J. Lagniez, P. Marquis, and N. Szczepanski. EGC, volume E-39 of RNTI, page 581-588. Editions RNTI, (2023)

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Henry Szczepanski

Christoph Szczepanski

Sandra Szczepanski

Norbert Szczepanski

Max Szczepanski

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An Incremental SAT-Based Approach to the Graph Colouring Problem.G. Glorian, J. Lagniez, V. Montmirail, and N. Szczepanski. CP, volume 11802 of Lecture Notes in Computer Science, page 213-231. Springer, (2019)DMC: A Distributed Model Counter.J. Lagniez, P. Marquis, and N. Szczepanski. IJCAI, page 1331-1338. ijcai.org, (2018)An Adaptive Parallel SAT Solver.G. Audemard, J. Lagniez, N. Szczepanski, and S. Tabary. CP, volume 9892 of Lecture Notes in Computer Science, page 30-48. Springer, (2016)Computing Abductive Explanations for Boosted Trees.G. Audemard, J. Lagniez, P. Marquis, and N. Szczepanski. CoRR, (2022)Computing Abductive Explanations for Boosted Trees.G. Audemard, J. Lagniez, P. Marquis, and N. Szczepanski. AISTATS, volume 206 of Proceedings of Machine Learning Research, page 4699-4711. PMLR, (2023)A hybrid CP/MOLS approach for multi-objective imbalanced classification.N. Szczepanski, G. Audemard, L. Jourdan, C. Lecoutre, L. Mousin, and N. Veerapen. GECCO, page 723-731. ACM, (2021)PyXAI : calculer en Python des explications pour des modèles d'apprentissage supervisé.G. Audemard, S. Bellart, L. Bounia, J. Lagniez, P. Marquis, and N. Szczepanski. EGC, volume E-39 of RNTI, page 581-588. Editions RNTI, (2023)Multi-objective Automatic Algorithm Configuration for the Classification Problem of Imbalanced Data.S. Tari, N. Szczepanski, L. Mousin, J. Jacques, M. Kessaci, and L. Jourdan. CEC, page 1-8. IEEE, (2020)A Distributed Version of Syrup.G. Audemard, J. Lagniez, N. Szczepanski, and S. Tabary. SAT, volume 10491 of Lecture Notes in Computer Science, page 215-232. Springer, (2017)On Contrastive Explanations for Tree-Based Classifiers.G. Audemard, J. Lagniez, P. Marquis, and N. Szczepanski. ECAI, volume 372 of Frontiers in Artificial Intelligence and Applications, page 117-124. IOS Press, (2023)

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Disambiguation of "Szczepanski, Nicolas"

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PyXAI : calculer en Python des explications pour des modèles d'apprentissage supervisé.

Please choose a person to relate this publication to

Henry Szczepanski

Christoph Szczepanski

Sandra Szczepanski

Norbert Szczepanski

Max Szczepanski

Other publications of authors with the same name

Disambiguation

BibSonomy

Disambiguation of "Szczepanski, Nicolas"

copydeleteadd this publication to your clipboardcommunity posthistory of this postURLDOIBibTeXEndNoteAPAChicagoDIN 1505HarvardMSOffice XML PyXAI : calculer en Python des explications pour des modèles d'apprentissage supervisé.

Please choose a person to relate this publication to

Henry Szczepanski

Christoph Szczepanski

Sandra Szczepanski

Norbert Szczepanski

Max Szczepanski

Other publications of authors with the same name

Disambiguation

copy delete add this publication to your clipboard
community post
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URL
DOI
BibTeX
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APA
Chicago
DIN 1505
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PyXAI : calculer en Python des explications pour des modèles d'apprentissage supervisé.