Class-Specific Subspace Discriminant Analysis for High-Dimensional Data. - Charles Bouveyron; Stéphane Girard; Cordelia Schmid (SLSFS, 2005)

Object Localization by Subspace Clustering of Local Descriptors. - Charles Bouveyron; Juho Kannala; Cordelia Schmid; Stéphane Girard (ICVGIP, 2006)

Visualization and classification of graph-structured data: the case of the Enron dataset. - Charles Bouveyron; Hugh A. Chipman (IJCNN, 2007)

High-dimensional data clustering. - Charles Bouveyron; Stéphane Girard; Cordelia Schmid (Comput. Stat. Data Anal., 2007)

Classification of high-dimensional data for cervical cancer detection. - Charles Bouveyron; Camille Brunet; Vincent Vigneron (ESANN, 2009)

Supervised classification of categorical data with uncertain labels for DNA barcoding. - Charles Bouveyron; Stéphane Girard; Madalina Olteanu (ESANN, 2009)

Weakly-Supervised Classification with Mixture Models for Cervical Cancer Detection. - Charles Bouveyron (IWANN (1), 2009)

Supervised Classification and Visualization of Social Networks Based on a Probabilistic Latent Space Model. - Charles Bouveyron; Hugh A. Chipman; Etienne Côme (MLG/SRL@ILP, 2009)

Classification supervisée et non supervisée en grande dimension. - Charles Bouveyron; Stéphane Girard (Monde des Util. Anal. Données, 2009)

Robust supervised classification with mixture models: Learning from data with uncertain labels. - Charles Bouveyron; Stéphane Girard (Pattern Recognit., 2009)

Adaptive linear models for regression: Improving prediction when population has changed. - Charles Bouveyron; Julien Jacques (Pattern Recognit. Lett., 2010)

Probabilistic Fisher discriminant analysis. - Charles Bouveyron; Camille Brunet (ESANN, 2011)

Model-based clustering of time series in group-specific functional subspaces. - Charles Bouveyron; Julien Jacques (Adv. Data Anal. Classif., 2011)

Intrinsic dimension estimation by maximum likelihood in isotropic probabilistic PCA. - Charles Bouveyron; Gilles Celeux; Stéphane Girard (Pattern Recognit. Lett., 2011)

Robust clustering of high-dimensional data. - Anastasios Bellas; Charles Bouveyron; Marie Cottrell; Jérôme Lacaille (ESANN, 2012)

Recent developments in clustering algorithms. - Charles Bouveyron; Barbara Hammer; Thomas Villmann (ESANN, 2012)

Probabilistic Fisher discriminant analysis: A robust and flexible alternative to Fisher discriminant analysis. - Charles Bouveyron; Camille Brunet (Neurocomputing, 2012)

Theoretical and practical considerations on the convergence properties of the Fisher-EM algorithm. - Charles Bouveyron; Camille Brunet (J. Multivar. Anal., 2012)

Simultaneous model-based clustering and visualization in the Fisher discriminative subspace. - Charles Bouveyron; Camille Brunet (Stat. Comput., 2012)

Model-based clustering of high-dimensional data streams with online mixture of probabilistic PCA. - Anastasios Bellas; Charles Bouveyron; Marie Cottrell; Jérôme Lacaille (Adv. Data Anal. Classif., 2013)

Parsimonious Gaussian process models for the classification of multivariate remote sensing images. - Mathieu Fauvel; Charles Bouveyron; Stéphane Girard (ICASSP, 2014)

Anomaly Detection Based on Confidence Intervals Using SOM with an Application to Health Monitoring. - Anastasios Bellas; Charles Bouveyron; Marie Cottrell; Jérôme Lacaille (WSOM, 2014)

Adaptive Mixture Discriminant Analysis for Supervised Learning with Unobserved Classes. - Charles Bouveyron (J. Classif., 2014)

Model-based clustering of high-dimensional data: A review. - Charles Bouveyron; Camille Brunet-Saumard (Comput. Stat. Data Anal., 2014)

Adaptive Mixtures of Regressions: Improving Predictive Inference when Population has Changed. - Charles Bouveyron; Julien Jacques (Commun. Stat. Simul. Comput., 2014)

Discriminative variable selection for clustering with the sparse Fisher-EM algorithm. - Charles Bouveyron; Camille Brunet-Saumard (Comput. Stat., 2014)

A State-Space Model for the Dynamic Random Subgraph Model. - Rawya Zreik; Pierre Latouche; Charles Bouveyron (ESANN, 2015)

Un algorithme EM pour une version parcimonieuse de l'analyse en composantes principales probabiliste. - Charles Bouveyron; Julien Jacques (EGC, 2015)

Parsimonious Gaussian Process Models for the Classification of Hyperspectral Remote Sensing Images. - Mathieu Fauvel; Charles Bouveyron; Stéphane Girard (IEEE Geosci. Remote. Sens. Lett., 2015)

Kernel discriminant analysis and clustering with parsimonious Gaussian process models. - Charles Bouveyron; Mathieu Fauvel; Stéphane Girard (Stat. Comput., 2015)

Globally Sparse Probabilistic PCA. - Pierre-Alexandre Mattei; Charles Bouveyron; Pierre Latouche (AISTATS, 2016)

Combining a relaxed EM algorithm with Occam's razor for Bayesian variable selection in high-dimensional regression. - Pierre Latouche; Pierre-Alexandre Mattei; Charles Bouveyron; Julien Chiquet (J. Multivar. Anal., 2016)

The dynamic random subgraph model for the clustering of evolving networks. - Rawya Zreik; Pierre Latouche; Charles Bouveyron (Comput. Stat., 2017)

The stochastic topic block model for the clustering of vertices in networks with textual edges. - Charles Bouveyron; Pierre Latouche; Rawya Zreik (Stat. Comput., 2018)

High-Dimensional Mixture Models for Unsupervised Image Denoising (HDMI). - Antoine Houdard; Charles Bouveyron; Julie Delon (SIAM J. Imaging Sci., 2018)

The latent topic block model for the co-clustering of textual interaction data. - Laurent R. Bergé; Charles Bouveyron; Marco Corneli; Pierre Latouche (Comput. Stat. Data Anal., 2019)

Radiomics: How to Make Medical Images Speak? - Fanny Orlhac; Charles Bouveyron; Nicholas Ayache (ERCIM News, 2019)

The dynamic stochastic topic block model for dynamic networks with textual edges. - Marco Corneli; Charles Bouveyron; Pierre Latouche; Fabrice Rossi (Stat. Comput., 2019)

Clustering multivariate functional data in group-specific functional subspaces. - Amandine Schmutz; Julien Jacques; Charles Bouveyron; Laurence Chèze; Pauline Martin (Comput. Stat., 2020)

A Unified View on Patch Aggregation. - Alexandre Saint-Dizier; Julie Delon; Charles Bouveyron (J. Math. Imaging Vis., 2020)

Active Speaker Detection as a Multi-Objective Optimization with Uncertainty-Based Multimodal Fusion. - Baptiste Pouthier; Laurent Pilati; Leela K. Gudupudi; Charles Bouveyron; Frédéric Precioso (Interspeech, 2021)

Hierarchical clustering with discrete latent variable models and the integrated classification likelihood. - Etienne Côme; Nicolas Jouvin; Pierre Latouche; Charles Bouveyron (Adv. Data Anal. Classif., 2021)

Co-clustering of Time-Dependent Data via the Shape Invariant Model. - Alessandro Casa; Charles Bouveyron; Elena A. Erosheva; Giovanna Menardi (J. Classif., 2021)

Greedy clustering of count data through a mixture of multinomial PCA. - Nicolas Jouvin; Pierre Latouche; Charles Bouveyron; Guillaume Bataillon; Alain Livartowski (Comput. Stat., 2021)

DeepLTRS: A deep latent recommender system based on user ratings and reviews. - Dingge Liang; Marco Corneli; Charles Bouveyron; Pierre Latouche (Pattern Recognit. Lett., 2021)

A Bayesian Fisher-EM algorithm for discriminative Gaussian subspace clustering. - Nicolas Jouvin; Charles Bouveyron; Pierre Latouche (Stat. Comput., 2021)

Deep latent position model for node clustering in graphs. - Dingge Liang; Marco Corneli; Charles Bouveyron; Pierre Latouche (ESANN, 2022)

Generalised Mutual Information for Discriminative Clustering. - Louis Ohl; Pierre-Alexandre Mattei; Charles Bouveyron; Warith Harchaoui; Mickaël Leclercq; Arnaud Droit; Frédéric Precioso (NeurIPS, 2022)

Unobserved classes and extra variables in high-dimensional discriminant analysis. - Michael Fop; Pierre-Alexandre Mattei; Charles Bouveyron; Thomas Brendan Murphy (Adv. Data Anal. Classif., 2022)

Co-clustering of evolving count matrices with the dynamic latent block model: application to pharmacovigilance. - Giulia Marchello; Audrey Fresse; Marco Corneli; Charles Bouveyron (Stat. Comput., 2022)

Deep dynamic co-clustering of streams of count data: a new online Zip-dLBM. - Giulia Marchello; Marco Corneli; Charles Bouveyron (ESANN, 2023)

Are labels informative in semi-supervised learning? Estimating and leveraging the missing-data mechanism. - Aude Sportisse; Hugo Schmutz; Olivier Humbert; Charles Bouveyron; Pierre-Alexandre Mattei (ICML, 2023)

Another Point of View on Visual Speech Recognition. - Baptiste Pouthier; Laurent Pilati; Giacomo Valenti; Charles Bouveyron; Frédéric Precioso (INTERSPEECH, 2023)

Sparse GEMINI for Joint Discriminative Clustering and Feature Selection. - Louis Ohl; Pierre-Alexandre Mattei; Charles Bouveyron; Mickaël Leclercq; Arnaud Droit; Frédéric Precioso (CoRR, 2023)

The Deep Latent Position Topic Model for Clustering and Representation of Networks with Textual Edges. - Rémi Boutin; Pierre Latouche; Charles Bouveyron (CoRR, 2023)

Generalised Mutual Information: a Framework for Discriminative Clustering. - Louis Ohl; Pierre-Alexandre Mattei; Charles Bouveyron; Warith Harchaoui; Mickaël Leclercq; Arnaud Droit; Frédéric Precioso (CoRR, 2023)

DeepWILD: Wildlife Identification, Localisation and estimation on camera trap videos using Deep learning. - Fanny Simões; Charles Bouveyron; Frédéric Precioso (Ecol. Informatics, 2023)

Embedded topics in the stochastic block model. - Rémi Boutin; Charles Bouveyron; Pierre Latouche (Stat. Comput., 2023)

The graph embedded topic model. - Dingge Liang; Marco Corneli; Charles Bouveyron; Pierre Latouche (Neurocomputing, 2023)

A Deep Dynamic Latent Block Model for Co-clustering of Zero-Inflated Data Matrices. - Giulia Marchello; Marco Corneli; Charles Bouveyron (J. Comput. Graph. Stat., 2024)

Deep dynamic co-clustering of count data streams: application to pharmacovigilance. - Giulia Marchello; Alexandre Destere; Marco Corneli; Charles Bouveyron (J. Data Sci. Stat. Vis., 2024)

Sparse and geometry-aware generalisation of the mutual information for joint discriminative clustering and feature selection. - Louis Ohl; Pierre-Alexandre Mattei; Charles Bouveyron; Mickaël Leclercq; Arnaud Droit; Frédéric Precioso (Stat. Comput., 2024)

Towards a fully automated underwater census for fish assemblages in the Mediterranean Sea. - Kilian Bürgi; Charles Bouveyron; Diane Lingrand; Benoit Derijard; Frédéric Precioso; Cécile Sabourault (Ecol. Informatics, 2025)

The multiplex deep latent position model for the clustering of nodes in multiview networks. - Dingge Liang; Marco Corneli; Charles Bouveyron; Pierre Latouche; Junping Yin (Neurocomputing, 2025)

Clustering by deep latent position model with graph convolutional network. - Dingge Liang; Marco Corneli; Charles Bouveyron; Pierre Latouche (Adv. Data Anal. Classif., 2025)

Merging Embedded Topics with Optimal Transport for Online Topic Modeling on Data Streams. - Federica Granese; Benjamin Navet; Serena Villata; Charles Bouveyron (CoRR, 2025)

Parsimonious Gaussian mixture models with piecewise-constant eigenvalue profiles. - Tom Szwagier; Pierre-Alexandre Mattei; Charles Bouveyron; Xavier Pennec (CoRR, 2025)

The Deep Latent Position Block Model for Block Clustering and Latent Representation of Nodes in Networks. - Rémi Boutin; Pierre Latouche; Charles Bouveyron (Stat. Comput., 2025)