default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDCharles Bouveyron
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
Journal Articles
- 2024
[j36]Giulia Marchello, Alexandre Destere
, Marco Corneli, Charles Bouveyron:
Deep dynamic co-clustering of count data streams: application to pharmacovigilance. J. Data Sci. Stat. Vis. 4(4) (2024)- [j35]Louis Ohl, Pierre-Alexandre Mattei, Charles Bouveyron, Mickaël Leclercq, Arnaud Droit, Frédéric Precioso:
Sparse and geometry-aware generalisation of the mutual information for joint discriminative clustering and feature selection. Stat. Comput. 34(5): 155 (2024) - 2023
- [j34]Fanny Simões, Charles Bouveyron, Frédéric Precioso:
DeepWILD: Wildlife Identification, Localisation and estimation on camera trap videos using Deep learning. Ecol. Informatics 75: 102095 (2023) - [j33]Dingge Liang, Marco Corneli, Charles Bouveyron, Pierre Latouche:
The graph embedded topic model. Neurocomputing 562: 126900 (2023) - [j32]Rémi Boutin, Charles Bouveyron, Pierre Latouche:
Embedded topics in the stochastic block model. Stat. Comput. 33(5): 95 (2023) - 2022
- [j31]Michael Fop, Pierre-Alexandre Mattei, Charles Bouveyron, Thomas Brendan Murphy:
Unobserved classes and extra variables in high-dimensional discriminant analysis. Adv. Data Anal. Classif. 16(1): 55-92 (2022) - [j30]Giulia Marchello, Audrey Fresse, Marco Corneli, Charles Bouveyron:
Co-clustering of evolving count matrices with the dynamic latent block model: application to pharmacovigilance. Stat. Comput. 32(3): 41 (2022) - 2021
- [j29]Etienne Côme, Nicolas Jouvin, Pierre Latouche, Charles Bouveyron:
Hierarchical clustering with discrete latent variable models and the integrated classification likelihood. Adv. Data Anal. Classif. 15(4): 957-986 (2021) - [j28]Alessandro Casa, Charles Bouveyron, Elena A. Erosheva, Giovanna Menardi:
Co-clustering of Time-Dependent Data via the Shape Invariant Model. J. Classif. 38(3): 626-649 (2021) - [j27]Nicolas Jouvin, Pierre Latouche, Charles Bouveyron, Guillaume Bataillon, Alain Livartowski:
Greedy clustering of count data through a mixture of multinomial PCA. Comput. Stat. 36(1): 1-33 (2021) - [j26]Dingge Liang, Marco Corneli, Charles Bouveyron, Pierre Latouche:
DeepLTRS: A deep latent recommender system based on user ratings and reviews. Pattern Recognit. Lett. 152: 267-274 (2021) - [j25]Nicolas Jouvin, Charles Bouveyron, Pierre Latouche:
A Bayesian Fisher-EM algorithm for discriminative Gaussian subspace clustering. Stat. Comput. 31(4): 44 (2021) - 2020
- [j24]Amandine Schmutz, Julien Jacques, Charles Bouveyron, Laurence Chèze, Pauline Martin:
Clustering multivariate functional data in group-specific functional subspaces. Comput. Stat. 35(3): 1101-1131 (2020) - [j23]Alexandre Saint-Dizier, Julie Delon, Charles Bouveyron:
A Unified View on Patch Aggregation. J. Math. Imaging Vis. 62(2): 149-168 (2020) - 2019
- [j22]Laurent R. Bergé, Charles Bouveyron, Marco Corneli, Pierre Latouche:
The latent topic block model for the co-clustering of textual interaction data. Comput. Stat. Data Anal. 137: 247-270 (2019) - [j21]Marco Corneli, Charles Bouveyron, Pierre Latouche, Fabrice Rossi:
The dynamic stochastic topic block model for dynamic networks with textual edges. Stat. Comput. 29(4): 677-695 (2019) - 2018
- [j20]Charles Bouveyron, Pierre Latouche, Rawya Zreik:
The stochastic topic block model for the clustering of vertices in networks with textual edges. Stat. Comput. 28(1): 11-31 (2018) - [j19]Antoine Houdard, Charles Bouveyron, Julie Delon:
High-Dimensional Mixture Models for Unsupervised Image Denoising (HDMI). SIAM J. Imaging Sci. 11(4): 2815-2846 (2018) - 2017
- [j18]Rawya Zreik, Pierre Latouche, Charles Bouveyron:
The dynamic random subgraph model for the clustering of evolving networks. Comput. Stat. 32(2): 501-533 (2017) - 2016
- [j17]Pierre Latouche, Pierre-Alexandre Mattei, Charles Bouveyron, Julien Chiquet:
Combining a relaxed EM algorithm with Occam's razor for Bayesian variable selection in high-dimensional regression. J. Multivar. Anal. 146: 177-190 (2016) - 2015
- [j16]Mathieu Fauvel, Charles Bouveyron, Stéphane Girard:
Parsimonious Gaussian Process Models for the Classification of Hyperspectral Remote Sensing Images. IEEE Geosci. Remote. Sens. Lett. 12(12): 2423-2427 (2015) - [j15]Charles Bouveyron, Mathieu Fauvel, Stéphane Girard:
Kernel discriminant analysis and clustering with parsimonious Gaussian process models. Stat. Comput. 25(6): 1143-1162 (2015) - 2014
- [j14]Charles Bouveyron:
Adaptive Mixture Discriminant Analysis for Supervised Learning with Unobserved Classes. J. Classif. 31(1): 49-84 (2014) - [j13]Charles Bouveyron, Camille Brunet-Saumard:
Model-based clustering of high-dimensional data: A review. Comput. Stat. Data Anal. 71: 52-78 (2014) - [j12]Charles Bouveyron, Julien Jacques:
Adaptive Mixtures of Regressions: Improving Predictive Inference when Population has Changed. Commun. Stat. Simul. Comput. 43(10): 2570-2592 (2014) - [j11]Charles Bouveyron, Camille Brunet-Saumard:
Discriminative variable selection for clustering with the sparse Fisher-EM algorithm. Comput. Stat. 29(3): 489-513 (2014) - 2013
- [j10]Anastasios Bellas, Charles Bouveyron, Marie Cottrell, Jérôme Lacaille:
Model-based clustering of high-dimensional data streams with online mixture of probabilistic PCA. Adv. Data Anal. Classif. 7(3): 281-300 (2013) - 2012
- [j9]Charles Bouveyron, Camille Brunet:
Probabilistic Fisher discriminant analysis: A robust and flexible alternative to Fisher discriminant analysis. Neurocomputing 90: 12-22 (2012) - [j8]Charles Bouveyron, Camille Brunet:
Theoretical and practical considerations on the convergence properties of the Fisher-EM algorithm. J. Multivar. Anal. 109: 29-41 (2012) - [j7]Charles Bouveyron, Camille Brunet:
Simultaneous model-based clustering and visualization in the Fisher discriminative subspace. Stat. Comput. 22(1): 301-324 (2012) - 2011
- [j6]Charles Bouveyron, Julien Jacques:
Model-based clustering of time series in group-specific functional subspaces. Adv. Data Anal. Classif. 5(4): 281-300 (2011) - [j5]Charles Bouveyron, Gilles Celeux, Stéphane Girard:
Intrinsic dimension estimation by maximum likelihood in isotropic probabilistic PCA. Pattern Recognit. Lett. 32(14): 1706-1713 (2011) - 2010
- [j4]Charles Bouveyron, Julien Jacques:
Adaptive linear models for regression: Improving prediction when population has changed. Pattern Recognit. Lett. 31(14): 2237-2247 (2010) - 2009
- [j3]Charles Bouveyron, Stéphane Girard:
Classification supervisée et non supervisée en grande dimension. Monde des Util. Anal. Données 40: 81-102 (2009) - [j2]Charles Bouveyron, Stéphane Girard:
Robust supervised classification with mixture models: Learning from data with uncertain labels. Pattern Recognit. 42(11): 2649-2658 (2009) - 2007
- [j1]Charles Bouveyron, Stéphane Girard, Cordelia Schmid:
High-dimensional data clustering. Comput. Stat. Data Anal. 52(1): 502-519 (2007)
Conference and Workshop Papers
- 2023
- [c21]Giulia Marchello, Marco Corneli, Charles Bouveyron:
Deep dynamic co-clustering of streams of count data: a new online Zip-dLBM. ESANN 2023 - [c20]Aude Sportisse, Hugo Schmutz, Olivier Humbert, Charles Bouveyron, Pierre-Alexandre Mattei:
Are labels informative in semi-supervised learning? Estimating and leveraging the missing-data mechanism. ICML 2023: 32521-32539 - [c19]Baptiste Pouthier, Laurent Pilati, Giacomo Valenti, Charles Bouveyron, Frédéric Precioso:
Another Point of View on Visual Speech Recognition. INTERSPEECH 2023: 4089-4093 - [c18]Giulia Marchello, Marco Corneli, Charles Bouveyron:
A Deep Dynamic Latent Block Model for the Co-Clustering of Zero-Inflated Data Matrices. ECML/PKDD (1) 2023: 695-710 - 2022
- [c17]Dingge Liang, Marco Corneli, Charles Bouveyron, Pierre Latouche:
Deep latent position model for node clustering in graphs. ESANN 2022 - [c16]Louis Ohl, Pierre-Alexandre Mattei, Charles Bouveyron, Warith Harchaoui, Mickaël Leclercq, Arnaud Droit, Frédéric Precioso:
Generalised Mutual Information for Discriminative Clustering. NeurIPS 2022 - 2021
- [c15]Baptiste Pouthier, Laurent Pilati, Leela K. Gudupudi, Charles Bouveyron, Frédéric Precioso:
Active Speaker Detection as a Multi-Objective Optimization with Uncertainty-Based Multimodal Fusion. Interspeech 2021: 2381-2385 - 2016
- [c14]Pierre-Alexandre Mattei, Charles Bouveyron, Pierre Latouche:
Globally Sparse Probabilistic PCA. AISTATS 2016: 976-984 - 2015
- [c13]Rawya Zreik, Pierre Latouche, Charles Bouveyron:
A State-Space Model for the Dynamic Random Subgraph Model. ESANN 2015 - [c12]Charles Bouveyron, Julien Jacques:
Un algorithme EM pour une version parcimonieuse de l'analyse en composantes principales probabiliste. EGC 2015: 149-154 - 2014
- [c11]Mathieu Fauvel, Charles Bouveyron, Stéphane Girard:
Parsimonious Gaussian process models for the classification of multivariate remote sensing images. ICASSP 2014: 2913-2916 - [c10]Anastasios Bellas, Charles Bouveyron, Marie Cottrell, Jérôme Lacaille:
Anomaly Detection Based on Confidence Intervals Using SOM with an Application to Health Monitoring. WSOM 2014: 145-155 - 2012
- [c9]Anastasios Bellas, Charles Bouveyron, Marie Cottrell, Jérôme Lacaille:
Robust clustering of high-dimensional data. ESANN 2012 - [c8]Charles Bouveyron, Barbara Hammer, Thomas Villmann:
Recent developments in clustering algorithms. ESANN 2012 - 2011
- [c7]Charles Bouveyron, Camille Brunet:
Probabilistic Fisher discriminant analysis. ESANN 2011 - 2009
- [c6]Charles Bouveyron, Camille Brunet, Vincent Vigneron:
Classification of high-dimensional data for cervical cancer detection. ESANN 2009 - [c5]Charles Bouveyron, Stéphane Girard, Madalina Olteanu:
Supervised classification of categorical data with uncertain labels for DNA barcoding. ESANN 2009 - [c4]Charles Bouveyron:
Weakly-Supervised Classification with Mixture Models for Cervical Cancer Detection. IWANN (1) 2009: 1021-1028 - 2007
- [c3]Charles Bouveyron, Hugh A. Chipman:
Visualization and classification of graph-structured data: the case of the Enron dataset. IJCNN 2007: 1506-1511 - 2006
- [c2]Charles Bouveyron, Juho Kannala, Cordelia Schmid, Stéphane Girard:
Object Localization by Subspace Clustering of Local Descriptors. ICVGIP 2006: 457-467 - 2005
- [c1]Charles Bouveyron, Stéphane Girard, Cordelia Schmid:
Class-Specific Subspace Discriminant Analysis for High-Dimensional Data. SLSFS 2005: 139-150
Informal and Other Publications
- 2023
- [i7]Louis Ohl, Pierre-Alexandre Mattei, Charles Bouveyron, Mickaël Leclercq, Arnaud Droit, Frédéric Precioso:
Sparse GEMINI for Joint Discriminative Clustering and Feature Selection. CoRR abs/2302.03391 (2023) - [i6]Rémi Boutin, Pierre Latouche, Charles Bouveyron:
The Deep Latent Position Topic Model for Clustering and Representation of Networks with Textual Edges. CoRR abs/2304.08242 (2023) - [i5]Louis Ohl, Pierre-Alexandre Mattei, Charles Bouveyron, Warith Harchaoui, Mickaël Leclercq, Arnaud Droit, Frédéric Precioso:
Generalised Mutual Information: a Framework for Discriminative Clustering. CoRR abs/2309.02858 (2023) - 2022
- [i4]Rémi Boutin, Charles Bouveyron, Pierre Latouche:
Embedded Topics in the Stochastic Block Model. CoRR abs/2209.10097 (2022) - [i3]Louis Ohl, Pierre-Alexandre Mattei, Charles Bouveyron, Warith Harchaoui, Mickaël Leclercq, Arnaud Droit, Frédéric Precioso:
Generalised Mutual Information for Discriminative Clustering. CoRR abs/2210.06300 (2022) - 2021
- [i2]Baptiste Pouthier, Laurent Pilati, Leela K. Gudupudi, Charles Bouveyron, Frédéric Precioso:
Active Speaker Detection as a Multi-Objective Optimization with Uncertainty-based Multimodal Fusion. CoRR abs/2106.03821 (2021) - 2019
- [i1]Fanny Orlhac, Charles Bouveyron, Nicholas Ayache:
Radiomics: How to Make Medical Images Speak? ERCIM News 2019(118) (2019)
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-10-07 21:14 CEST by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
