A monothetic clustering method. - Marie Chavent (Pattern Recognit. Lett., 1998)

Contamination par le mercure et classification en écotoxicologie : Approche classique, approche symbolique. - Marie Chavent; Chantal Lacombez; Alain Boudou; Régine Maury-Brachet (Monde des Util. Anal. Données, 2001)

Calcul des coefficients de régression et du PRESS en régression PLS1. - Marie Chavent; Brigitte Patouille (Monde des Util. Anal. Données, 2003)

New clustering methods for interval data. - Marie Chavent; Francisco de A. T. de Carvalho; Yves Lechevallier; Rosanna Verde (Comput. Stat., 2006)

Adaptive Hausdorff distances and dynamic clustering of symbolic interval data. - Francisco de A. T. de Carvalho; Renata M. C. R. de Souza; Marie Chavent; Yves Lechevallier (Pattern Recognit. Lett., 2006)

Empirical Comparison of a Monothetic Divisive Clustering Method with the Ward and the k-means Clustering Methods. - Marie Chavent; Yves Lechevallier (Data Science and Classification, 2006)

Evaluation d'une approche de classification conceptuelle. - Marie Chavent; Yves Lechevallier (EGC, 2007)

DIVCLUS-T: A monothetic divisive hierarchical clustering method. - Marie Chavent; Yves Lechevallier; Olivier Briant (Comput. Stat. Data Anal., 2007)

Analyse en Facteurs : présentation et comparaison des logiciels SAS, SPAD et SPSS. - Marie Chavent; Vanessa Kuentz; Jérôme Saracco (Monde des Util. Anal. Données, 2007)

Classification de données EEG par algorithme évolutionnaire pour l'étude d'états de vigilance. - Laurent Vézard; Pierrick Legrand; Marie Chavent; Frédérique Faïta-Aïnseba; Julien Clauzel (EGC, 2012)

Classification of EEG Signals by an Evolutionary Algorithm. - Laurent Vézard; Pierrick Legrand; Marie Chavent; Frédérique Faïta-Aïnseba; Julien Clauzel; Leonardo Trujillo (EGC (best of volume), 2012)

Divisive Monothetic Clustering for Interval and Histogram-valued Data. - Paula Brito; Marie Chavent (ICPRAM (1), 2012)

Orthogonal rotation in PCAMIX. - Marie Chavent; Vanessa Kuentz-Simonet; Jérôme Saracco (Adv. Data Anal. Classif., 2012)

Handling Missing Values with Regularized Iterative Multiple Correspondence Analysis. - Julie Josse; Marie Chavent; Benoit Liquet; François Husson (J. Classif., 2012)

Detecting mental states of alertness with genetic algorithm variable selection. - Laurent Vézard; Marie Chavent; Pierrick Legrand; Frédérique Faïta-Aïnseba; Leonardo Trujillo (IEEE Congress on Evolutionary Computation, 2013)

Probabilistic Low-Rank Matrix Completion with Adaptive Spectral Regularization Algorithms. - Adrien Todeschini; François Caron; Marie Chavent (NIPS, 2013)

A sliced inverse regression approach for data stream. - Marie Chavent; Stéphane Girard; Vanessa Kuentz-Simonet; Benoit Liquet; Thi Mong Ngoc Nguyen; Jérôme Saracco (Comput. Stat., 2014)

EEG classification for the detection of mental states. - Laurent Vézard; Pierrick Legrand; Marie Chavent; Frédérique Faïta-Aïnseba; Leonardo Trujillo (Appl. Soft Comput., 2015)

ClustGeo: an R package for hierarchical clustering with spatial constraints. - Marie Chavent; Vanessa Kuentz-Simonet; Amaury Labenne; Jérôme Saracco (Comput. Stat., 2018)

Sparse K-means for mixed data via group-sparse clustering. - Marie Chavent; Jérôme Lacaille; Alex Mourer; Madalina Olteanu (ESANN, 2020)

Handling Correlations in Random Forests: which Impacts on Variable Importance and Model Interpretability? - Marie Chavent; Jérôme Lacaille; Alex Mourer; Madalina Olteanu (ESANN, 2021)

Combining clustering of variables and feature selection using random forests. - Marie Chavent; Robin Genuer; Jérôme Saracco (Commun. Stat. Simul. Comput., 2021)

Sparse Clustering with K-Means - Which Penalties and for Which Data? - Marie Chavent; Marie Cottrell; Alex Mourer; Madalina Olteanu (WSOM+, 2024)

From explained variance of correlated components to PCA without orthogonality constraints. - Marie Chavent; Guy Chavent (CoRR, 2024)

mDAE : modified Denoising AutoEncoder for missing data imputation. - Mariette Dupuy; Marie Chavent; Rémi Dubois (CoRR, 2024)