Charles Bouveyron

77 papers A* 2A 4B 9Misc 1Journal 53Unranked 8

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Parsimonious Gaussian mixture models with piecewise-constant eigenvalue profiles. Stat. Comput. Tom Szwagier, Pierre-Alexandre Mattei, Charles Bouveyron, Xavier Pennec
2026	J	`jnl`	Scaling optimal transport to high-dimensional Gaussian distributions with application to domain adaptation. Stat. Comput. Charles Bouveyron, Marco Corneli
2025	A	`conf`	CleverFish: An AI-Driven Platform to Monitor and Explore Marine Ecological Resources. ECAI Kilian Bürgi, Stephane Petiot, Cécile Sabourault, Rémy Sun, Diane Lingrand, Benoit Derijard, Charles Bouveyron
2025	J	`jnl`	Clustering by deep latent position model with graph convolutional network. Adv. Data Anal. Classif. Dingge Liang, Marco Corneli, Charles Bouveyron, Pierre Latouche
2025	—	`conf`	Merging Embedded Topics with Optimal Transport for Online Topic Modeling on Data Streams. ECML/PKDD (7) Federica Granese, Benjamin Navet, Serena Villata, Charles Bouveyron
2025	J	`jnl`	Merging Embedded Topics with Optimal Transport for Online Topic Modeling on Data Streams. CoRR Federica Granese, Benjamin Navet, Serena Villata, Charles Bouveyron
2025	J	`jnl`	Parsimonious Gaussian mixture models with piecewise-constant eigenvalue profiles. CoRR Tom Szwagier, Pierre-Alexandre Mattei, Charles Bouveyron, Xavier Pennec
2025	J	`jnl`	Stick-Breaking Embedded Topic Model with Continuous Optimal Transport for Online Analysis of Document Streams. CoRR Federica Granese, Serena Villata, Charles Bouveyron
2025	J	`jnl`	The Deep Latent Position Block Model for Block Clustering and Latent Representation of Nodes in Networks. Stat. Comput. Rémi Boutin, Pierre Latouche, Charles Bouveyron
2025	J	`jnl`	The multiplex deep latent position model for the clustering of nodes in multiview networks. Neurocomputing Dingge Liang, Marco Corneli, Charles Bouveyron, Pierre Latouche, Junping Yin
2025	J	`jnl`	Towards a fully automated underwater census for fish assemblages in the Mediterranean Sea. Ecol. Informatics Kilian Bürgi, Charles Bouveyron, Diane Lingrand, Benoit Derijard, Frédéric Precioso, Cécile Sabourault
2024	J	`jnl`	A Deep Dynamic Latent Block Model for Co-clustering of Zero-Inflated Data Matrices. J. Comput. Graph. Stat. Giulia Marchello, Marco Corneli, Charles Bouveyron
2024	J	`jnl`	Deep dynamic co-clustering of count data streams: application to pharmacovigilance. J. Data Sci. Stat. Vis. Giulia Marchello, Alexandre Destere, Marco Corneli, Charles Bouveyron
2024	J	`jnl`	Sparse and geometry-aware generalisation of the mutual information for joint discriminative clustering and feature selection. Stat. Comput. Louis Ohl, Pierre-Alexandre Mattei, Charles Bouveyron, Mickaël Leclercq, Arnaud Droit, Frédéric Precioso
2023	—	`conf`	A Deep Dynamic Latent Block Model for the Co-Clustering of Zero-Inflated Data Matrices. ECML/PKDD (1) Giulia Marchello, Marco Corneli, Charles Bouveyron
2023	A	`conf`	Another Point of View on Visual Speech Recognition. INTERSPEECH Baptiste Pouthier, Laurent Pilati, Giacomo Valenti, Charles Bouveyron, Frédéric Precioso
2023	A*	`conf`	Are labels informative in semi-supervised learning? Estimating and leveraging the missing-data mechanism. ICML Aude Sportisse, Hugo Schmutz, Olivier Humbert, Charles Bouveyron, Pierre-Alexandre Mattei
2023	B	`conf`	Deep dynamic co-clustering of streams of count data: a new online Zip-dLBM. ESANN Giulia Marchello, Marco Corneli, Charles Bouveyron
2023	J	`jnl`	DeepWILD: Wildlife Identification, Localisation and estimation on camera trap videos using Deep learning. Ecol. Informatics Fanny Simões, Charles Bouveyron, Frédéric Precioso
2023	J	`jnl`	Embedded topics in the stochastic block model. Stat. Comput. Rémi Boutin, Charles Bouveyron, Pierre Latouche
2023	J	`jnl`	Generalised Mutual Information: a Framework for Discriminative Clustering. CoRR Louis Ohl, Pierre-Alexandre Mattei, Charles Bouveyron, Warith Harchaoui, Mickaël Leclercq, Arnaud Droit, Frédéric Precioso
2023	J	`jnl`	Sparse GEMINI for Joint Discriminative Clustering and Feature Selection. CoRR Louis Ohl, Pierre-Alexandre Mattei, Charles Bouveyron, Mickaël Leclercq, Arnaud Droit, Frédéric Precioso
2023	J	`jnl`	The Deep Latent Position Topic Model for Clustering and Representation of Networks with Textual Edges. CoRR Rémi Boutin, Pierre Latouche, Charles Bouveyron
2023	J	`jnl`	The graph embedded topic model. Neurocomputing Dingge Liang, Marco Corneli, Charles Bouveyron, Pierre Latouche
2022	J	`jnl`	Co-clustering of evolving count matrices with the dynamic latent block model: application to pharmacovigilance. Stat. Comput. Giulia Marchello, Audrey Fresse, Marco Corneli, Charles Bouveyron
2022	B	`conf`	Deep latent position model for node clustering in graphs. ESANN Dingge Liang, Marco Corneli, Charles Bouveyron, Pierre Latouche
2022	J	`jnl`	Embedded Topics in the Stochastic Block Model. CoRR Rémi Boutin, Charles Bouveyron, Pierre Latouche
2022	A*	`conf`	Generalised Mutual Information for Discriminative Clustering. NeurIPS Louis Ohl, Pierre-Alexandre Mattei, Charles Bouveyron, Warith Harchaoui, Mickaël Leclercq, Arnaud Droit, Frédéric Precioso
2022	J	`jnl`	Generalised Mutual Information for Discriminative Clustering. CoRR Louis Ohl, Pierre-Alexandre Mattei, Charles Bouveyron, Warith Harchaoui, Mickaël Leclercq, Arnaud Droit, Frédéric Precioso
2022	J	`jnl`	Unobserved classes and extra variables in high-dimensional discriminant analysis. Adv. Data Anal. Classif. Michael Fop, Pierre-Alexandre Mattei, Charles Bouveyron, Thomas Brendan Murphy
2021	J	`jnl`	A Bayesian Fisher-EM algorithm for discriminative Gaussian subspace clustering. Stat. Comput. Nicolas Jouvin, Charles Bouveyron, Pierre Latouche
2021	A	`conf`	Active Speaker Detection as a Multi-Objective Optimization with Uncertainty-Based Multimodal Fusion. Interspeech Baptiste Pouthier, Laurent Pilati, Leela K. Gudupudi, Charles Bouveyron, Frédéric Precioso
2021	J	`jnl`	Active Speaker Detection as a Multi-Objective Optimization with Uncertainty-based Multimodal Fusion. CoRR Baptiste Pouthier, Laurent Pilati, Leela K. Gudupudi, Charles Bouveyron, Frédéric Precioso
2021	J	`jnl`	Co-clustering of Time-Dependent Data via the Shape Invariant Model. J. Classif. Alessandro Casa, Charles Bouveyron, Elena A. Erosheva, Giovanna Menardi
2021	J	`jnl`	DeepLTRS: A deep latent recommender system based on user ratings and reviews. Pattern Recognit. Lett. Dingge Liang, Marco Corneli, Charles Bouveyron, Pierre Latouche
2021	J	`jnl`	Greedy clustering of count data through a mixture of multinomial PCA. Comput. Stat. Nicolas Jouvin, Pierre Latouche, Charles Bouveyron, Guillaume Bataillon, Alain Livartowski
2021	J	`jnl`	Hierarchical clustering with discrete latent variable models and the integrated classification likelihood. Adv. Data Anal. Classif. Etienne Côme, Nicolas Jouvin, Pierre Latouche, Charles Bouveyron
2020	J	`jnl`	A Unified View on Patch Aggregation. J. Math. Imaging Vis. Alexandre Saint-Dizier, Julie Delon, Charles Bouveyron
2020	J	`jnl`	Clustering multivariate functional data in group-specific functional subspaces. Comput. Stat. Amandine Schmutz, Julien Jacques, Charles Bouveyron, Laurence Chèze, Pauline Martin
2019	J	`jnl`	Radiomics: How to Make Medical Images Speak? ERCIM News Fanny Orlhac, Charles Bouveyron, Nicholas Ayache
2019	J	`jnl`	The dynamic stochastic topic block model for dynamic networks with textual edges. Stat. Comput. Marco Corneli, Charles Bouveyron, Pierre Latouche, Fabrice Rossi
2019	J	`jnl`	The latent topic block model for the co-clustering of textual interaction data. Comput. Stat. Data Anal. Laurent R. Bergé, Charles Bouveyron, Marco Corneli, Pierre Latouche
2018	J	`jnl`	High-Dimensional Mixture Models for Unsupervised Image Denoising (HDMI). SIAM J. Imaging Sci. Antoine Houdard, Charles Bouveyron, Julie Delon
2018	J	`jnl`	The stochastic topic block model for the clustering of vertices in networks with textual edges. Stat. Comput. Charles Bouveyron, Pierre Latouche, Rawya Zreik
2017	J	`jnl`	The dynamic random subgraph model for the clustering of evolving networks. Comput. Stat. Rawya Zreik, Pierre Latouche, Charles Bouveyron
2016	J	`jnl`	Combining a relaxed EM algorithm with Occam's razor for Bayesian variable selection in high-dimensional regression. J. Multivar. Anal. Pierre Latouche, Pierre-Alexandre Mattei, Charles Bouveyron, Julien Chiquet
2016	A	`conf`	Globally Sparse Probabilistic PCA. AISTATS Pierre-Alexandre Mattei, Charles Bouveyron, Pierre Latouche
2015	B	`conf`	A State-Space Model for the Dynamic Random Subgraph Model. ESANN Rawya Zreik, Pierre Latouche, Charles Bouveyron
2015	J	`jnl`	Kernel discriminant analysis and clustering with parsimonious Gaussian process models. Stat. Comput. Charles Bouveyron, Mathieu Fauvel, Stéphane Girard
2015	J	`jnl`	Parsimonious Gaussian Process Models for the Classification of Hyperspectral Remote Sensing Images. IEEE Geosci. Remote. Sens. Lett. Mathieu Fauvel, Charles Bouveyron, Stéphane Girard
2015	—	`conf`	Un algorithme EM pour une version parcimonieuse de l'analyse en composantes principales probabiliste. EGC Charles Bouveyron, Julien Jacques
2014	J	`jnl`	Adaptive Mixture Discriminant Analysis for Supervised Learning with Unobserved Classes. J. Classif. Charles Bouveyron
2014	J	`jnl`	Adaptive Mixtures of Regressions: Improving Predictive Inference when Population has Changed. Commun. Stat. Simul. Comput. Charles Bouveyron, Julien Jacques
2014	—	`conf`	Anomaly Detection Based on Confidence Intervals Using SOM with an Application to Health Monitoring. WSOM Anastasios Bellas, Charles Bouveyron, Marie Cottrell, Jérôme Lacaille
2014	J	`jnl`	Discriminative variable selection for clustering with the sparse Fisher-EM algorithm. Comput. Stat. Charles Bouveyron, Camille Brunet-Saumard
2014	J	`jnl`	Model-based clustering of high-dimensional data: A review. Comput. Stat. Data Anal. Charles Bouveyron, Camille Brunet-Saumard
2014	Misc	`conf`	Parsimonious Gaussian process models for the classification of multivariate remote sensing images. ICASSP Mathieu Fauvel, Charles Bouveyron, Stéphane Girard
2013	J	`jnl`	Model-based clustering of high-dimensional data streams with online mixture of probabilistic PCA. Adv. Data Anal. Classif. Anastasios Bellas, Charles Bouveyron, Marie Cottrell, Jérôme Lacaille
2012	J	`jnl`	Probabilistic Fisher discriminant analysis: A robust and flexible alternative to Fisher discriminant analysis. Neurocomputing Charles Bouveyron, Camille Brunet
2012	B	`conf`	Recent developments in clustering algorithms. ESANN Charles Bouveyron, Barbara Hammer, Thomas Villmann
2012	B	`conf`	Robust clustering of high-dimensional data. ESANN Anastasios Bellas, Charles Bouveyron, Marie Cottrell, Jérôme Lacaille
2012	J	`jnl`	Simultaneous model-based clustering and visualization in the Fisher discriminative subspace. Stat. Comput. Charles Bouveyron, Camille Brunet
2012	J	`jnl`	Theoretical and practical considerations on the convergence properties of the Fisher-EM algorithm. J. Multivar. Anal. Charles Bouveyron, Camille Brunet
2011	J	`jnl`	Intrinsic dimension estimation by maximum likelihood in isotropic probabilistic PCA. Pattern Recognit. Lett. Charles Bouveyron, Gilles Celeux, Stéphane Girard
2011	J	`jnl`	Model-based clustering of time series in group-specific functional subspaces. Adv. Data Anal. Classif. Charles Bouveyron, Julien Jacques
2011	B	`conf`	Probabilistic Fisher discriminant analysis. ESANN Charles Bouveyron, Camille Brunet
2010	J	`jnl`	Adaptive linear models for regression: Improving prediction when population has changed. Pattern Recognit. Lett. Charles Bouveyron, Julien Jacques
2009	B	`conf`	Classification of high-dimensional data for cervical cancer detection. ESANN Charles Bouveyron, Camille Brunet, Vincent Vigneron
2009	J	`jnl`	Classification supervisée et non supervisée en grande dimension. Monde des Util. Anal. Données Charles Bouveyron, Stéphane Girard
2009	J	`jnl`	Robust supervised classification with mixture models: Learning from data with uncertain labels. Pattern Recognit. Charles Bouveyron, Stéphane Girard
2009	—	`conf`	Supervised Classification and Visualization of Social Networks Based on a Probabilistic Latent Space Model. MLG/SRL@ILP Charles Bouveyron, Hugh A. Chipman, Etienne Côme
2009	B	`conf`	Supervised classification of categorical data with uncertain labels for DNA barcoding. ESANN Charles Bouveyron, Stéphane Girard, Madalina Olteanu
2009	—	`conf`	Weakly-Supervised Classification with Mixture Models for Cervical Cancer Detection. IWANN (1) Charles Bouveyron
2007	J	`jnl`	High-dimensional data clustering. Comput. Stat. Data Anal. Charles Bouveyron, Stéphane Girard, Cordelia Schmid
2007	B	`conf`	Visualization and classification of graph-structured data: the case of the Enron dataset. IJCNN Charles Bouveyron, Hugh A. Chipman
2006	—	`conf`	Object Localization by Subspace Clustering of Local Descriptors. ICVGIP Charles Bouveyron, Juho Kannala, Cordelia Schmid, Stéphane Girard
2005	—	`conf`	Class-Specific Subspace Discriminant Analysis for High-Dimensional Data. SLSFS Charles Bouveyron, Stéphane Girard, Cordelia Schmid