Charles Bouveyron
Orcid: 0000-0002-6956-4491
According to our database1,
Charles Bouveyron
authored at least 57 papers
between 2005 and 2023.
Collaborative distances:
Collaborative distances:
Timeline
Legend:
Book In proceedings Article PhD thesis Dataset OtherLinks
On csauthors.net:
Bibliography
2023
DeepWILD: Wildlife Identification, Localisation and estimation on camera trap videos using Deep learning.
Ecol. Informatics, July, 2023
CoRR, 2023
The Deep Latent Position Topic Model for Clustering and Representation of Networks with Textual Edges.
CoRR, 2023
A Deep Dynamic Latent Block Model for the Co-Clustering of Zero-Inflated Data Matrices.
Proceedings of the Machine Learning and Knowledge Discovery in Databases: Research Track, 2023
Are labels informative in semi-supervised learning? Estimating and leveraging the missing-data mechanism.
Proceedings of the International Conference on Machine Learning, 2023
2022
Co-clustering of evolving count matrices with the dynamic latent block model: application to pharmacovigilance.
Stat. Comput., 2022
Adv. Data Anal. Classif., 2022
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022
Proceedings of the 30th European Symposium on Artificial Neural Networks, 2022
2021
Stat. Comput., 2021
Pattern Recognit. Lett., 2021
Comput. Stat., 2021
J. Classif., 2021
Hierarchical clustering with discrete latent variable models and the integrated classification likelihood.
Adv. Data Anal. Classif., 2021
Active Speaker Detection as a Multi-Objective Optimization with Uncertainty-Based Multimodal Fusion.
Proceedings of the Interspeech 2021, 22nd Annual Conference of the International Speech Communication Association, Brno, Czechia, 30 August, 2021
2020
Comput. Stat., 2020
2019
Stat. Comput., 2019
Comput. Stat. Data Anal., 2019
2018
SIAM J. Imaging Sci., 2018
The stochastic topic block model for the clustering of vertices in networks with textual edges.
Stat. Comput., 2018
2017
Comput. Stat., 2017
2016
Combining a relaxed EM algorithm with Occam's razor for Bayesian variable selection in high-dimensional regression.
J. Multivar. Anal., 2016
Proceedings of the 19th International Conference on Artificial Intelligence and Statistics, 2016
2015
Kernel discriminant analysis and clustering with parsimonious Gaussian process models.
Stat. Comput., 2015
Parsimonious Gaussian Process Models for the Classification of Hyperspectral Remote Sensing Images.
IEEE Geosci. Remote. Sens. Lett., 2015
Un algorithme EM pour une version parcimonieuse de l'analyse en composantes principales probabiliste.
Proceedings of the 15èmes Journées Francophones Extraction et Gestion des Connaissances, 2015
Proceedings of the 23rd European Symposium on Artificial Neural Networks, 2015
2014
Discriminative variable selection for clustering with the sparse Fisher-EM algorithm.
Comput. Stat., 2014
Adaptive Mixtures of Regressions: Improving Predictive Inference when Population has Changed.
Commun. Stat. Simul. Comput., 2014
Comput. Stat. Data Anal., 2014
Adaptive Mixture Discriminant Analysis for Supervised Learning with Unobserved Classes.
J. Classif., 2014
Anomaly Detection Based on Confidence Intervals Using SOM with an Application to Health Monitoring.
Proceedings of the Advances in Self-Organizing Maps and Learning Vector Quantization, 2014
Parsimonious Gaussian process models for the classification of multivariate remote sensing images.
Proceedings of the IEEE International Conference on Acoustics, 2014
2013
Model-based clustering of high-dimensional data streams with online mixture of probabilistic PCA.
Adv. Data Anal. Classif., 2013
2012
Simultaneous model-based clustering and visualization in the Fisher discriminative subspace.
Stat. Comput., 2012
Theoretical and practical considerations on the convergence properties of the Fisher-EM algorithm.
J. Multivar. Anal., 2012
Probabilistic Fisher discriminant analysis: A robust and flexible alternative to Fisher discriminant analysis.
Neurocomputing, 2012
Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012
Proceedings of the 20th European Symposium on Artificial Neural Networks, 2012
2011
Pattern Recognit. Lett., 2011
Adv. Data Anal. Classif., 2011
Proceedings of the 19th European Symposium on Artificial Neural Networks, 2011
2010
Adaptive linear models for regression: Improving prediction when population has changed.
Pattern Recognit. Lett., 2010
2009
Robust supervised classification with mixture models: Learning from data with uncertain labels.
Pattern Recognit., 2009
Monde des Util. Anal. Données, 2009
Proceedings of the Bio-Inspired Systems: Computational and Ambient Intelligence, 2009
Supervised classification of categorical data with uncertain labels for DNA barcoding.
Proceedings of the 17th European Symposium on Artificial Neural Networks, 2009
Proceedings of the 17th European Symposium on Artificial Neural Networks, 2009
2007
Visualization and classification of graph-structured data: the case of the Enron dataset.
Proceedings of the International Joint Conference on Neural Networks, 2007
2006
Proceedings of the Computer Vision, Graphics and Image Processing, 5th Indian Conference, 2006
2005
Proceedings of the Subspace, 2005