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ORCIDChristophe Ambroise
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2020 – today
- 2024
[i4]Kylliann De Santiago, Marie Szafranski, Christophe Ambroise:
Mixture of multilayer stochastic block models for multiview clustering. CoRR abs/2401.04682 (2024)- 2023
- [c13]Kylliann De Santiago, Marie Szafranski, Christophe Ambroise:
Mixture of stochastic block models for multiview clustering. ESANN 2023 - 2022
- [j20]Antoine Bichat
, Christophe Ambroise, Mahendra Mariadassou:
Hierarchical correction of p-values via an ultrametric tree running Ornstein-Uhlenbeck process. Comput. Stat. 37(3): 995-1013 (2022) - [i3]Do Edmond Sanou, Christophe Ambroise, Geneviève Robin:
Inference of Multiscale Gaussian Graphical Model. CoRR abs/2202.05775 (2022) - 2021
- [j19]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:
Correction: PPanGGOLiN: Depicting microbial diversity via a partitioned pangenome graph. PLoS Comput. Biol. 17(12) (2021) - 2020
- [j18]Florent Guinot, Marie Szafranski, Julien Chiquet, Anouk Zancarini, Christine Le Signor, Christophe Mougel, Christophe Ambroise:
Fast computation of genome-metagenome interaction effects. Algorithms Mol. Biol. 15(1): 13 (2020) - [j17]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:
PPanGGOLiN: Depicting microbial diversity via a partitioned pangenome graph. PLoS Comput. Biol. 16(3) (2020)
2010 – 2019
- 2019
- [j16]Christophe Ambroise, Alia Dehman, Pierre Neuvial, Guillem Rigaill, Nathalie Villa-Vialaneix:
Adjacency-constrained hierarchical clustering of a band similarity matrix with application to genomics. Algorithms Mol. Biol. 14(1): 22:1-22:14 (2019) - 2018
- [j15]Florent Guinot, Marie Szafranski, Christophe Ambroise, Franck Samson:
Learning the optimal scale for GWAS through hierarchical SNP aggregation. BMC Bioinform. 19(1): 459:1-459:14 (2018) - [i2]Florent Guinot, Marie Szafranski, Julien Chiquet, Anouk Zancarini, Christine Le Signor, Christophe Mougel, Christophe Ambroise:
Fast Computation of Genome-Metagenome Interaction Effects. CoRR abs/1810.12169 (2018) - 2017
- [j14]Virginie Stanislas, Cyril Dalmasso, Christophe Ambroise:
Eigen-Epistasis for detecting gene-gene interactions. BMC Bioinform. 18(1): 54:1-54:14 (2017) - [j13]Jean-Michel Bécu, Yves Grandvalet, Christophe Ambroise, Cyril Dalmasso:
Beyond support in two-stage variable selection. Stat. Comput. 27(1): 169-179 (2017) - 2015
- [j12]Alia Dehman, Christophe Ambroise, Pierre Neuvial:
Performance of a blockwise approach in variable selection using linkage disequilibrium information. BMC Bioinform. 16: 148:1-148:14 (2015) - [c12]Jean-Michel Bécu, Christophe Ambroise, Yves Grandvalet, Cyril Dalmasso:
Significance testing for variable selection in high-dimension. CIBCB 2015: 1-8 - 2014
- [r1]Pierre Latouche, Etienne Birmelé, Christophe Ambroise:
Overlapping Clustering Methods for Networks. Handbook of Mixed Membership Models and Their Applications 2014: 547-567 - 2011
- [j11]Julien Chiquet, Yves Grandvalet, Christophe Ambroise:
Inferring multiple graphical structures. Stat. Comput. 21(4): 537-553 (2011) - 2010
- [j10]Hugo Zanghi, Stevenn Volant, Christophe Ambroise:
Clustering based on random graph model embedding vertex features. Pattern Recognit. Lett. 31(9): 830-836 (2010)
2000 – 2009
- 2009
- [j9]Julien Chiquet, Alexander Smith, Gilles Grasseau, Catherine Matias, Christophe Ambroise:
SIMoNe: Statistical Inference for MOdular NEtworks. Bioinform. 25(3): 417-418 (2009) - [i1]Hugo Zanghi, Franck Picard, Vincent Miele, Christophe Ambroise:
Strategies for Online Inference of Model-Based Clustering in large Networks. CoRR abs/0910.2034 (2009) - 2008
- [j8]Hugo Zanghi, Christophe Ambroise, Vincent Miele:
Fast online graph clustering via Erdös-Rényi mixture. Pattern Recognit. 41(12): 3592-3599 (2008) - [c11]Pierre Latouche, Etienne Birmelé, Christophe Ambroise:
Bayesian Methods for Graph Clustering. GfKl 2008: 229-239 - 2007
- [j7]Marta Avalos, Yves Grandvalet, Christophe Ambroise:
Parsimonious additive models. Comput. Stat. Data Anal. 51(6): 2851-2870 (2007) - [j6]Allou Samé, Christophe Ambroise, Gérard Govaert:
An online classification EM algorithm based on the mixture model. Stat. Comput. 17(3): 209-218 (2007) - 2006
- [j5]Allou Samé, Christophe Ambroise, Gérard Govaert:
A classification EM algorithm for binned data. Comput. Stat. Data Anal. 51(2): 466-480 (2006) - [j4]Aurélien Cord, Christophe Ambroise, Jean Pierre Cocquerez:
Feature selection in robust clustering based on Laplace mixture. Pattern Recognit. Lett. 27(6): 627-635 (2006) - [c10]Karim Yousfi, Christophe Ambroise, Jean Pierre Cocquerez, Jonathan Chevelu:
Driving Hierarchy Construction via Supervised Learning: Application to Osteo-Articular Medical Images Database. ICIP 2006: 2433-2436 - [c9]Karim Yousfi, Christophe Ambroise, Jean Pierre Cocquerez, Jonathan Chevelu:
Supervised Learning for Guiding Hierarchy Construction: Application to Osteo-Articular Medical Images Database. ICPR (1) 2006: 484-487 - 2005
- [j3]Marta Avalos, Yves Grandvalet, Christophe Ambroise:
Discrimination par modèles additifs parcimonieux. Rev. d'Intelligence Artif. 19(4-5): 661-682 (2005) - [c8]Allou Samé, Gérard Govaert, Christophe Ambroise:
A Mixture Model-Based On-line CEM Algorithm. IDA 2005: 373-384 - 2004
- [c7]Geoffrey J. McLachlan, Soong Chang, Jess Mar, Christophe Ambroise, Justin Xi Zhu:
On the Simultaneous Use of Clinical and Microarray Expression Data in the Cluster Analysis of Tissue Samples. APBC 2004: 167-171 - 2003
- [c6]Micheline Najjar, Christophe Ambroise, Jean Pierre Cocquerez:
Feature selection for semisupervised learning applied to image retrieval. ICIP (2) 2003: 559-562 - [c5]Allou Samé, Christophe Ambroise, Gérard Govaert:
A Mixture Model Approach for Binned Data Clustering. IDA 2003: 265-274 - [c4]Marta Avalos, Yves Grandvalet, Christophe Ambroise:
Regularization Methods for Additive Models. IDA 2003: 509-520 - [c3]Micheline Najjar, Christophe Ambroise, Jean Pierre Cocquerez:
Image Retrieval Using Mixture Models and EM Algorithm. SCIA 2003: 1114-1121 - 2001
- [c2]Yves Grandvalet, Florence d'Alché-Buc, Christophe Ambroise:
Boosting Mixture Models for Semi-supervised Learning. ICANN 2001: 41-48 - [c1]Florence d'Alché-Buc, Yves Grandvalet, Christophe Ambroise:
Semi-supervised MarginBoost. NIPS 2001: 553-560 - 2000
- [j2]Christophe Ambroise, Geniève Sèze, Fouad Badran, Sylvie Thiria:
Hierarchical clustering of self-organizing maps for cloud classification. Neurocomputing 30(1-4): 47-52 (2000)
1990 – 1999
- 1998
- [j1]Christophe Ambroise, Gérard Govaert:
Convergence of an EM-type algorithm for spatial clustering. Pattern Recognit. Lett. 19(10): 919-927 (1998)
Coauthor Index
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