Pairwise Optimization of Bayesian Classifiers for Multi-class Cost-Sensitive Learning. - Clément Charnay; Nicolas Lachiche; Agnès Braud (ICTAI, 2013)

Incremental Construction of Complex Aggregates: Counting over a Secondary Table. - Clément Charnay; Nicolas Lachiche; Agnès Braud (ILP (Late Breaking Papers), 2013)

Reframing Continuous Input Attributes. - Chowdhury Farhan Ahmed; Nicolas Lachiche; Clément Charnay; Agnès Braud (ICTAI, 2014)

Reframing on Relational Data. - Chowdhury Farhan Ahmed; Clément Charnay; Nicolas Lachiche; Agnès Braud (ILP, 2014)

Construction of Complex Aggregates with Random Restart Hill-Climbing. - Clément Charnay; Nicolas Lachiche; Agnès Braud (ILP, 2014)

Approche relationnelle de l'apprentissage de séquences. - Clément Charnay; Nicolas Lachiche; Agnès Braud (EGC, 2015)

CARAF: Complex Aggregates within Random Forests. - Clément Charnay; Nicolas Lachiche; Agnès Braud (ILP, 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)

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 (2016)

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)