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Christophe Ambroise
Christophe Ambroise
Professor of Statistics, Université d'Evry Val d'Essonne
univ-evry.fr üzerinde doğrulanmış e-posta adresine sahip - Ana Sayfa
Başlık
Alıntı yapanlar
Alıntı yapanlar
Yıl
Selection bias in gene extraction on the basis of microarray gene-expression data
C Ambroise, GJ McLachlan
Proceedings of the national academy of sciences 99 (10), 6562-6566, 2002
17602002
Analyzing microarray gene expression data
GJ McLachlan, KA Do, C Ambroise
John Wiley & Sons, 2005
9602005
Overlapping stochastic block models with application to the french political blogosphere
P Latouche, E Birmelé, C Ambroise
2552011
Variational Bayesian inference and complexity control for stochastic block models
P Latouche, E Birmele, C Ambroise
Statistical Modelling 12 (1), 93-115, 2012
2112012
PPanGGOLiN: depicting microbial diversity via a partitioned pangenome graph
G Gautreau, A Bazin, M Gachet, R Planel, L Burlot, M Dubois, A Perrin, ...
PLoS computational biology 16 (3), e1007732, 2020
1952020
Hierarchical clustering of self-organizing maps for cloud classification
C Ambroise, G Sèze, F Badran, S Thiria
Neurocomputing 30 (1-4), 47-52, 2000
1392000
Clustering of spatial data by the EM algorithm
C Ambroise, M Dang, G Govaert
geoENV I—Geostatistics for Environmental Applications: Proceedings of the …, 1997
1351997
Fast online graph clustering via Erdős–Rényi mixture
H Zanghi, C Ambroise, V Miele
Pattern recognition 41 (12), 3592-3599, 2008
1252008
Semi-supervised marginboost
F d'Alché-Buc, Y Grandvalet, C Ambroise
Advances in neural information processing systems 14, 2001
1222001
Inferring multiple graphical structures
J Chiquet, Y Grandvalet, C Ambroise
Statistics and Computing 21, 537-553, 2011
1102011
Convergence of an EM-type algorithm for spatial clustering
C Ambroise, G Govaert
Pattern recognition letters 19 (10), 919-927, 1998
1071998
Clustering based on random graph model embedding vertex features
H Zanghi, S Volant, C Ambroise
Pattern Recognition Letters 31 (9), 830-836, 2010
872010
Accounting for population stratification in practice: a comparison of the main strategies dedicated to genome-wide association studies
M Bouaziz, C Ambroise, M Guedj
PloS one 6 (12), e28845, 2011
802011
Inferring sparse Gaussian graphical models with latent structure
C Ambroise, J Chiquet, C Matias
782009
AI-based mobile application to fight antibiotic resistance
M Pascucci, G Royer, J Adamek, MA Asmar, D Aristizabal, L Blanche, ...
Nature Communications 12 (1), 1173, 2021
742021
Epigenetics in forest trees: state of the art and potential implications for breeding and management in a context of climate change
MD Sow, I Allona, C Ambroise, D Conde, R Fichot, S Gribkova, V Jorge, ...
Advances in botanical research 88, 387-453, 2018
692018
Weighted-LASSO for structured network inference from time course data
C Charbonnier, J Chiquet, C Ambroise
Statistical applications in genetics and molecular biology 9 (1), 2010
682010
New consistent and asymptotically normal parameter estimates for random‐graph mixture models
C Ambroise, C Matias
Journal of the Royal Statistical Society: Series B (Statistical Methodology), 2011
672011
Simone: Statistical inference for modular networks
J Chiquet, A Smith, G Grasseau, C Matias, C Ambroise
Bioinformatics 25 (3), 417-418, 2009
642009
Feature selection in robust clustering based on Laplace mixture
A Cord, C Ambroise, JP Cocquerez
Pattern Recognition Letters 27 (6), 627-635, 2006
642006
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Makaleler 1–20