Clément Charnay

According to our database, Clément Charnay authored at least 10 papers between 2013 and 2019.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2019

A scalable robust and automatic propositionalization approach for Bayesian classification of large mixed numerical and categorical data.

Marc Boullé, Clément Charnay, Nicolas Lachiche

Mach. Learn., 2019

2016

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).

Clément Charnay

PhD thesis, 2016

2015

Flexible propositionalization of continuous attributes in relational data mining.

Chowdhury Farhan Ahmed, Nicolas Lachiche, Clément Charnay, Soufiane El Jelali, Agnès Braud

Expert Syst. Appl., 2015

CARAF: Complex Aggregates within Random Forests.

Clément Charnay, Nicolas Lachiche, Agnès Braud

Proceedings of the Inductive Logic Programming - 25th International Conference, 2015

Approche relationnelle de l'apprentissage de séquences.

Clément Charnay, Nicolas Lachiche, Agnès Braud

Proceedings of the 15èmes Journées Francophones Extraction et Gestion des Connaissances, 2015

2014

Construction of Complex Aggregates with Random Restart Hill-Climbing.

Clément Charnay, Nicolas Lachiche, Agnès Braud

Proceedings of the Inductive Logic Programming - 24th International Conference, 2014

Reframing on Relational Data.

Chowdhury Farhan Ahmed, Clément Charnay, Nicolas Lachiche, Agnès Braud

Proceedings of the Inductive Logic Programming - 24th International Conference, 2014

Reframing Continuous Input Attributes.

Chowdhury Farhan Ahmed, Nicolas Lachiche, Clément Charnay, Agnès Braud

Proceedings of the 26th IEEE International Conference on Tools with Artificial Intelligence, 2014

2013

Incremental Construction of Complex Aggregates: Counting over a Secondary Table.

Clément Charnay, Nicolas Lachiche, Agnès Braud

Proceedings of the Late Breaking Papers of the 23rd International Conference on Inductive Logic Programming, Rio de Janeiro, Brazil, August 28th - to, 2013

Pairwise Optimization of Bayesian Classifiers for Multi-class Cost-Sensitive Learning.

Clément Charnay, Nicolas Lachiche, Agnès Braud

Proceedings of the 25th IEEE International Conference on Tools with Artificial Intelligence, 2013