Christophe Ambroise

According to our database, Christophe Ambroise authored at least 37 papers between 1998 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Mixture of multilayer stochastic block models for multiview clustering.

Kylliann De Santiago, Marie Szafranski, Christophe Ambroise

CoRR, 2024

2023

Mixture of stochastic block models for multiview clustering.

Kylliann De Santiago, Marie Szafranski, Christophe Ambroise

Proceedings of the 31st European Symposium on Artificial Neural Networks, 2023

2022

Hierarchical correction of p-values via an ultrametric tree running Ornstein-Uhlenbeck process.

Antoine Bichat, Christophe Ambroise, Mahendra Mariadassou

Comput. Stat., 2022

Inference of Multiscale Gaussian Graphical Model.

Do Edmond Sanou, Christophe Ambroise, Geneviève Robin

CoRR, 2022

2021

Correction: PPanGGOLiN: Depicting microbial diversity via a partitioned pangenome graph.

Guillaume Gautreau, Adelme Bazin, Mathieu Gachet, Rémi Planel, Laura Burlot, Mathieu Dubois, Amandine Perrin, Claudine Médigue, Alexandra Calteau, Stéphane Cruveiller, Catherine Matias, Christophe Ambroise, Eduardo P. C. Rocha, David Vallenet

PLoS Comput. Biol., 2021

2020

PPanGGOLiN: Depicting microbial diversity via a partitioned pangenome graph.

Guillaume Gautreau, Adelme Bazin, Mathieu Gachet, Rémi Planel, Laura Burlot, Mathieu Dubois, Amandine Perrin, Claudine Médigue, Alexandra Calteau, Stéphane Cruveiller, Catherine Matias, Christophe Ambroise, Eduardo P. C. Rocha, David Vallenet

PLoS Comput. Biol., 2020

Fast computation of genome-metagenome interaction effects.

Florent Guinot, Marie Szafranski, Julien Chiquet, Anouk Zancarini, Christine Le Signor, Christophe Mougel, Christophe Ambroise

Algorithms Mol. Biol., 2020

2019

Adjacency-constrained hierarchical clustering of a band similarity matrix with application to genomics.

Christophe Ambroise, Alia Dehman, Pierre Neuvial, Guillem Rigaill, Nathalie Villa-Vialaneix

Algorithms Mol. Biol., 2019

2018

Learning the optimal scale for GWAS through hierarchical SNP aggregation.

Florent Guinot, Marie Szafranski, Christophe Ambroise, Franck Samson

BMC Bioinform., 2018

2017

Beyond support in two-stage variable selection.

Jean-Michel Bécu, Yves Grandvalet, Christophe Ambroise, Cyril Dalmasso

Stat. Comput., 2017

Eigen-Epistasis for detecting gene-gene interactions.

Virginie Stanislas, Cyril Dalmasso, Christophe Ambroise

BMC Bioinform., 2017

2015

Performance of a blockwise approach in variable selection using linkage disequilibrium information.

Alia Dehman, Christophe Ambroise, Pierre Neuvial

BMC Bioinform., 2015

Significance testing for variable selection in high-dimension.

Jean-Michel Bécu, Christophe Ambroise, Yves Grandvalet, Cyril Dalmasso

Proceedings of the IEEE Conference on Computational Intelligence in Bioinformatics and Computational Biology, 2015

2014

Overlapping Clustering Methods for Networks.

Pierre Latouche, Etienne Birmelé, Christophe Ambroise

Proceedings of the Handbook of Mixed Membership Models and Their Applications., 2014

2011

Inferring multiple graphical structures.

Julien Chiquet, Yves Grandvalet, Christophe Ambroise

Stat. Comput., 2011

2010

Clustering based on random graph model embedding vertex features.

Hugo Zanghi, Stevenn Volant, Christophe Ambroise

Pattern Recognit. Lett., 2010

2009

Strategies for Online Inference of Model-Based Clustering in large Networks

Hugo Zanghi, Franck Picard, Vincent Miele, Christophe Ambroise

CoRR, 2009

SIMoNe: Statistical Inference for MOdular NEtworks.

Julien Chiquet, Alexander Smith, Gilles Grasseau, Catherine Matias, Christophe Ambroise

Bioinform., 2009

2008

Fast online graph clustering via Erdös-Rényi mixture.

Hugo Zanghi, Christophe Ambroise, Vincent Miele

Pattern Recognit., 2008

Bayesian Methods for Graph Clustering.

Pierre Latouche, Etienne Birmelé, Christophe Ambroise

Proceedings of the Advances in Data Analysis, Data Handling and Business Intelligence, 2008

2007

An online classification EM algorithm based on the mixture model.

Allou Samé, Christophe Ambroise, Gérard Govaert

Stat. Comput., 2007

Parsimonious additive models.

Marta Avalos, Yves Grandvalet, Christophe Ambroise

Comput. Stat. Data Anal., 2007

2006

Feature selection in robust clustering based on Laplace mixture.

Aurélien Cord, Christophe Ambroise, Jean Pierre Cocquerez

Pattern Recognit. Lett., 2006

A classification EM algorithm for binned data.

Allou Samé, Christophe Ambroise, Gérard Govaert

Comput. Stat. Data Anal., 2006

Supervised Learning for Guiding Hierarchy Construction: Application to Osteo-Articular Medical Images Database.

Karim Yousfi, Christophe Ambroise, Jean Pierre Cocquerez, Jonathan Chevelu

Proceedings of the 18th International Conference on Pattern Recognition (ICPR 2006), 2006

Driving Hierarchy Construction via Supervised Learning: Application to Osteo-Articular Medical Images Database.

Karim Yousfi, Christophe Ambroise, Jean Pierre Cocquerez, Jonathan Chevelu

Proceedings of the International Conference on Image Processing, 2006

2005

Discrimination par modèles additifs parcimonieux.

Marta Avalos, Yves Grandvalet, Christophe Ambroise

Rev. d'Intelligence Artif., 2005

A Mixture Model-Based On-line CEM Algorithm.

Allou Samé, Gérard Govaert, Christophe Ambroise

Proceedings of the Advances in Intelligent Data Analysis VI, 2005

2004

On the Simultaneous Use of Clinical and Microarray Expression Data in the Cluster Analysis of Tissue Samples.

Geoffrey J. McLachlan, Soong Chang, Jess Mar, Christophe Ambroise, Justin Xi Zhu

Proceedings of the Second Asia-Pacific Bioinformatics Conference (APBC 2004), 2004

2003

Image Retrieval Using Mixture Models and EM Algorithm.

Micheline Najjar, Christophe Ambroise, Jean Pierre Cocquerez

Proceedings of the Image Analysis, 13th Scandinavian Conference, 2003

A Mixture Model Approach for Binned Data Clustering.

Allou Samé, Christophe Ambroise, Gérard Govaert

Proceedings of the Advances in Intelligent Data Analysis V, 2003

Regularization Methods for Additive Models.

Marta Avalos, Yves Grandvalet, Christophe Ambroise

Proceedings of the Advances in Intelligent Data Analysis V, 2003

Feature selection for semisupervised learning applied to image retrieval.

Micheline Najjar, Christophe Ambroise, Jean Pierre Cocquerez

Proceedings of the 2003 International Conference on Image Processing, 2003

2001

Semi-supervised MarginBoost.

Florence d'Alché-Buc, Yves Grandvalet, Christophe Ambroise

Proceedings of the Advances in Neural Information Processing Systems 14 [Neural Information Processing Systems: Natural and Synthetic, 2001

Boosting Mixture Models for Semi-supervised Learning.

Yves Grandvalet, Florence d'Alché-Buc, Christophe Ambroise

Proceedings of the Artificial Neural Networks, 2001

2000

Hierarchical clustering of self-organizing maps for cloud classification.

Christophe Ambroise, Geniève Sèze, Fouad Badran, Sylvie Thiria

Neurocomputing, 2000

1998

Convergence of an EM-type algorithm for spatial clustering.

Christophe Ambroise, Gérard Govaert

Pattern Recognit. Lett., 1998