Marie Chavent - researchr alias

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Viewing Publication 1 - 22 from 22

2021

Combining clustering of variables and feature selection using random forestsMarie Chavent, Robin Genuer, Jérôme Saracco. cssc, 50(2):426-445, 2021. [doi]

Handling Correlations in Random Forests: which Impacts on Variable Importance and Model Interpretability?Marie Chavent, Jérôme Lacaille, Alex Mourer, Madalina Olteanu. esann 2021: [doi]

2020

Sparse K-means for mixed data via group-sparse clusteringMarie Chavent, Jérôme Lacaille, Alex Mourer, Madalina Olteanu. esann 2020: 235-240 [doi]

2018

ClustGeo: an R package for hierarchical clustering with spatial constraintsMarie Chavent, Vanessa Kuentz-Simonet, Amaury Labenne, Jérôme Saracco. cstat, 33(4):1799-1822, 2018. [doi]

2015

EEG classification for the detection of mental statesLaurent Vezard, Pierrick Legrand, Marie Chavent, Frédérique Faïta-Aïnseba, Leonardo Trujillo. asc, 32:113-131, 2015. [doi]

2014

A sliced inverse regression approach for data streamMarie Chavent, Stéphane Girard, Vanessa Kuentz-Simonet, Benoit Liquet, Thi Mong Ngoc Nguyen, Jérôme Saracco. cstat, 29(5):1129-1152, 2014. [doi]

2013

Probabilistic Low-Rank Matrix Completion with Adaptive Spectral Regularization AlgorithmsAdrien Todeschini, François Caron, Marie Chavent. nips 2013: 845-853 [doi]

Detecting mental states of alertness with genetic algorithm variable selectionLaurent Vezard, Marie Chavent, Pierrick Legrand, Frédérique Faïta-Aïnseba, Leonardo Trujillo. cec 2013: 1247-1254 [doi]

2012

2007

Evaluation d une approche de classification conceptuelleMarie Chavent, Yves Lechevallier. f-egc 2007: 671-678

DIVCLUS-T: A monothetic divisive hierarchical clustering methodMarie Chavent, Yves Lechevallier, Olivier Briant. csda, 52(2):687-701, 2007. [doi]

Analyse en Facteurs : présentation et comparaison des logiciels SAS, SPAD et SPSSMarie Chavent, Vanessa Kuentz, Jérôme Saracco. modulad, 37:1-30, 2007. [doi]

2006

Empirical Comparison of a Monothetic Divisive Clustering Method with the Ward and the k-means Clustering MethodsMarie Chavent, Yves Lechevallier. In Vladimir Batagelj, Hans-Hermann Bock, Anuska Ferligoj, Ales Ziberna, editors, Data Science and Classification. Studies in Classification, Data Analysis, and Knowledge Organization, pages 83-90, Springer, 2006. [doi]

New clustering methods for interval dataMarie Chavent, Francisco de A. T. de Carvalho, Yves Lechevallier, Rosanna Verde. cstat, 21(2):211-229, 2006. [doi]

Adaptive Hausdorff distances and dynamic clustering of symbolic interval dataFrancisco de A. T. de Carvalho, Renata M. C. R. de Souza, Marie Chavent, Yves Lechevallier. prl, 27(3):167-179, 2006. [doi]

2003

Calcul des coefficients de régression et du PRESS en régression PLS1Marie Chavent, Brigitte Patouille. modulad, 30:1-11, 2003. [doi]

2001

Contamination par le mercure et classification en écotoxicologie : Approche classique, approche symboliqueMarie Chavent, Chantal Lacombez, Alain Boudou, Régine Maury-Brachet. modulad, 26:19-32, 2001. [doi]

1998

A monothetic clustering methodMarie Chavent. prl, 19(11):989-996, 1998. [doi]

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