| 2023 | ESANN | Mixture of stochastic block models for multiview clustering. | Kylliann De Santiago, Marie Szafranski, Christophe Ambroise |
| 2015 | CIBCB | Significance testing for variable selection in high-dimension. | Jean-Michel Bcu, Christophe Ambroise, Yves Grandvalet, Cyril Dalmasso |
| 2006 | ICIP | Driving Hierarchy Construction via Supervised Learning: Application to Osteo-Articular Medical Images Database. | Karim Yousfi, Christophe Ambroise, Jean Pierre Cocquerez, Jonathan Chevelu |
| 2006 | ICPR | Supervised Learning for Guiding Hierarchy Construction: Application to Osteo-Articular Medical Images Database. | Karim Yousfi, Christophe Ambroise, Jean Pierre Cocquerez, Jonathan Chevelu |
| 2005 | IDA | A Mixture Model-Based On-line CEM Algorithm. | Allou Sam, Grard Govaert, Christophe Ambroise |
| 2004 | APBC | 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 |
| 2003 | ICIP | Feature selection for semisupervised learning applied to image retrieval. | Micheline Najjar, Christophe Ambroise, Jean Pierre Cocquerez |
| 2003 | IDA | Regularization Methods for Additive Models. | Marta Avalos, Yves Grandvalet, Christophe Ambroise |
| 2003 | IDA | A Mixture Model Approach for Binned Data Clustering. | Allou Sam, Christophe Ambroise, Grard Govaert |
| 2001 | ICANN | Boosting Mixture Models for Semi-supervised Learning. | Yves Grandvalet, Florence d'Alch-Buc, Christophe Ambroise |