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Clément Charnay
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2010 – 2019
- 2019
- [j2]Marc Boullé, Clément Charnay, Nicolas Lachiche
:
A scalable robust and automatic propositionalization approach for Bayesian classification of large mixed numerical and categorical data. Mach. Learn. 108(2): 229-266 (2019) - 2016
- [b1]Clément Charnay:
Enhancing supervised learning with complex aggregate features and context sensitivity. (Amélioration de l'apprentissage supervisé par l'utilisation d'agrégats complexes et la prise en compte du contexte). University of Strasbourg, France, 2016 - 2015
- [j1]Chowdhury Farhan Ahmed, Nicolas Lachiche
Flexible propositionalization of continuous attributes in relational data mining. Expert Syst. Appl. 42(21): 7698-7709 (2015) - [c7]Clément Charnay, Nicolas Lachiche, Agnès Braud:
Approche relationnelle de l'apprentissage de séquences. EGC 2015: 481-482 - [c6]Clément Charnay, Nicolas Lachiche
CARAF: Complex Aggregates within Random Forests. ILP 2015: 15-29 - 2014
- [c5]Chowdhury Farhan Ahmed, Nicolas Lachiche
Reframing Continuous Input Attributes. ICTAI 2014: 31-38 - [c4]Chowdhury Farhan Ahmed, Clément Charnay, Nicolas Lachiche
Reframing on Relational Data. ILP 2014: 1-15 - [c3]Clément Charnay, Nicolas Lachiche
Construction of Complex Aggregates with Random Restart Hill-Climbing. ILP 2014: 49-61 - 2013
- [c2]Clément Charnay, Nicolas Lachiche
Pairwise Optimization of Bayesian Classifiers for Multi-class Cost-Sensitive Learning. ICTAI 2013: 499-505 - [c1]Clément Charnay, Nicolas Lachiche, Agnès Braud:
Incremental Construction of Complex Aggregates: Counting over a Secondary Table. ILP (Late Breaking Papers) 2013: 1-6
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