Christophe Biernacki
Orcid: 0000-0002-8995-0568
According to our database1,
Christophe Biernacki
authored at least 44 papers
between 1999 and 2024.
Collaborative distances:
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Bibliography
2024
2023
Comput. Stat., September, 2023
J. Classif., July, 2023
Frugal Gaussian clustering of huge imbalanced datasets through a bin-marginal approach.
Stat. Comput., June, 2023
Comparative study of clustering models for multivariate time series from connected medical devices.
CoRR, 2023
2022
J. Comput. Graph. Stat., January, 2022
Interpretable domain adaptation using unsupervised feature selection on pre-trained source models.
Neurocomputing, 2022
An iterative clustering algorithm for the Contextual Stochastic Block Model with optimality guarantees.
Proceedings of the International Conference on Machine Learning, 2022
Interpretable Domain Adaptation for Hidden Subdomain Alignment in the Context of Pre-trained Source Models.
Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022
2021
J. Classif., 2021
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021
2020
Pattern Recognit., 2020
Adv. Data Anal. Classif., 2020
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020
2019
Pattern Recognit., 2019
2018
Relaxing the Identically Distributed Assumption in Gaussian Co-Clustering for High Dimensional Data.
CoRR, 2018
Proceedings of the Learning and Intelligent Optimization - 12th International Conference, 2018
2017
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
2016
Model-based clustering of multivariate ordinal data relying on a stochastic binary search algorithm.
Stat. Comput., 2016
R J., 2016
Latent class model with conditional dependency per modes to cluster categorical data.
Adv. Data Anal. Classif., 2016
2015
J. Classif., 2015
2014
2013
Comput. Stat., 2013
A predictive deviance criterion for selecting a generative model in semi-supervised classification.
Comput. Stat. Data Anal., 2013
Comput. Stat. Data Anal., 2013
2009
Monde des Util. Anal. Données, 2009
Updating a Logistic Discrimination Rule - Comparing Some Logistic Submodels in Credit-scoring.
Proceedings of the ICAART 2009 - Proceedings of the International Conference on Agents and Artificial Intelligence, Porto, Portugal, January 19, 2009
2007
Proceedings of the Advances in Computation and Intelligence, 2007
2006
Le logiciel MIXMOD d'analyse de mélange pour la classification et l'analyse discriminante.
Monde des Util. Anal. Données, 2006
Comput. Stat. Data Anal., 2006
2005
Analyse discriminante sur données binaires lorsque les populations d'apprentissage et de test sont différentes.
Proceedings of the Data Mining et Apprentissage Statistique : application en assurance, 2005
Relaxations de la régression logistique : modèles pour l'apprentissage sur une sous-population et la prédiction sur une autre.
Proceedings of the Data Mining et Apprentissage Statistique : application en assurance, 2005
2004
Stat. Comput., 2004
2003
Choosing starting values for the EM algorithm for getting the highest likelihood in multivariate Gaussian mixture models.
Comput. Stat. Data Anal., 2003
2001
Statistical modelling for image retrieval using a biological model of the perceptive colour space.
Proceedings of the 2001 International Conference on Image Processing, 2001
2000
IEEE Trans. Pattern Anal. Mach. Intell., 2000
1999
An improvement of the NEC criterion for assessing the number of clusters in a mixture model.
Pattern Recognit. Lett., 1999