Christophe Biernacki

47 papers A* 2A 1B 1Misc 1Journal 36Unranked 6

Year	Rank	Type	Title / Venue / Authors
2024	J	`jnl`	Model-based clustering with missing not at random data. Stat. Comput. Aude Sportisse, Matthieu Marbac, Fabien Laporte, Gilles Celeux, Claire Boyer, Julie Josse, Christophe Biernacki
2023	J	`jnl`	A Survey on Model-Based Co-Clustering: High Dimension and Estimation Challenges. J. Classif. Christophe Biernacki, Julien Jacques, Christine Keribin
2023	J	`jnl`	Comparative study of clustering models for multivariate time series from connected medical devices. CoRR Violaine Courrier, Christophe Biernacki, Cristian Preda, Benjamin Vittrant
2023	J	`jnl`	Frugal Gaussian clustering of huge imbalanced datasets through a bin-marginal approach. Stat. Comput. Filippo Antonazzo, Christophe Biernacki, Christine Keribin
2023	J	`jnl`	Parameter-wise co-clustering for high-dimensional data. Comput. Stat. Michael P. B. Gallaugher, Christophe Biernacki, Paul D. McNicholas
2022	A*	`conf`	An iterative clustering algorithm for the Contextual Stochastic Block Model with optimality guarantees. ICML Guillaume Braun, Hemant Tyagi, Christophe Biernacki
2022	A*	`conf`	Interpretable Domain Adaptation for Hidden Subdomain Alignment in the Context of Pre-trained Source Models. AAAI Luxin Zhang, Pascal Germain, Yacine Kessaci, Christophe Biernacki
2022	J	`jnl`	Interpretable domain adaptation using unsupervised feature selection on pre-trained source models. Neurocomputing Luxin Zhang, Pascal Germain, Yacine Kessaci, Christophe Biernacki
2022	J	`jnl`	Simultaneous Semiparametric Estimation of Clustering and Regression. J. Comput. Graph. Stat. Matthieu Marbac, Mohammed Sedki, Christophe Biernacki, Vincent Vandewalle
2021	J	`jnl`	An iterative clustering algorithm for the Contextual Stochastic Block Model with optimality guarantees. CoRR Guillaume Braun, Hemant Tyagi, Christophe Biernacki
2021	A	`conf`	Clustering multilayer graphs with missing nodes. AISTATS Guillaume Braun, Hemant Tyagi, Christophe Biernacki
2021	J	`jnl`	Clustering multilayer graphs with missing nodes. CoRR Guillaume Braun, Hemant Tyagi, Christophe Biernacki
2021	J	`jnl`	Gaussian-Based Visualization of Gaussian and Non-Gaussian-Based Clustering. J. Classif. Christophe Biernacki, Matthieu Marbac, Vincent Vandewalle
2021	J	`jnl`	Model-based Clustering with Missing Not At Random Data. CoRR Aude Sportisse, Christophe Biernacki, Claire Boyer, Julie Josse, Matthieu Marbac Lourdelle, Gilles Celeux, Fabien Laporte
2020	J	`jnl`	Model-based co-clustering for mixed type data. Comput. Stat. Data Anal. Margot Selosse, Julien Jacques, Christophe Biernacki
2020	J	`jnl`	Special issue on "Innovations on model based clustering and classification". Adv. Data Anal. Classif. Christophe Biernacki, Luis Angel García-Escudero, Salvatore Ingrassia
2020	—	`conf`	Target to Source Coordinate-Wise Adaptation of Pre-trained Models. ECML/PKDD (1) Luxin Zhang, Pascal Germain, Yacine Kessaci, Christophe Biernacki
2020	J	`jnl`	Textual data summarization using the Self-Organized Co-Clustering model. Pattern Recognit. Margot Selosse, Julien Jacques, Christophe Biernacki
2020	J	`jnl`	ordinalClust: An R Package to Analyze Ordinal Data. R J. Margot Selosse, Julien Jacques, Christophe Biernacki
2019	J	`jnl`	Real-Time monophonic and polyphonic audio classification from power spectra. Pattern Recognit. Maxime Baelde, Christophe Biernacki, Raphael Greff
2019	J	`jnl`	Unifying data units and models in (co-)clustering. Adv. Data Anal. Classif. Christophe Biernacki, Alexandre Lourme
2018	J	`jnl`	Model-based co-clustering for ordinal data. Comput. Stat. Data Anal. Julien Jacques, Christophe Biernacki
2018	—	`conf`	Probability Estimation by an Adapted Genetic Algorithm in Web Insurance. LION Anne-Lise Bedenel, Laetitia Jourdan, Christophe Biernacki
2018	J	`jnl`	Relaxing the Identically Distributed Assumption in Gaussian Co-Clustering for High Dimensional Data. CoRR Michael P. B. Gallaugher, Christophe Biernacki, Paul D. McNicholas
2017	Misc	`conf`	A mixture model-based real-time audio sources classification method. ICASSP Maxime Baelde, Christophe Biernacki, Raphael Greff
2016	J	`jnl`	Latent class model with conditional dependency per modes to cluster categorical data. Adv. Data Anal. Classif. Matthieu Marbac, Christophe Biernacki, Vincent Vandewalle
2016	J	`jnl`	Model-based clustering of multivariate ordinal data relying on a stochastic binary search algorithm. Stat. Comput. Christophe Biernacki, Julien Jacques
2016	J	`jnl`	Variable Clustering in High-Dimensional Linear Regression: The R Package clere. R J. Loïc Yengo, Julien Jacques, Christophe Biernacki, Mickaël Canouil
2015	J	`jnl`	Model-Based Clustering for Conditionally Correlated Categorical Data. J. Classif. Matthieu Marbac, Christophe Biernacki, Vincent Vandewalle
2014	J	`jnl`	Mixture of Gaussians for distance estimation with missing data. Neurocomputing Emil Eirola, Amaury Lendasse, Vincent Vandewalle, Christophe Biernacki
2014	J	`jnl`	Rankcluster: An R Package for Clustering Multivariate Partial Rankings. R J. Julien Jacques, Quentin Grimonprez, Christophe Biernacki
2014	J	`jnl`	Stable and visualizable Gaussian parsimonious clustering models. Stat. Comput. Christophe Biernacki, Alexandre Lourme
2013	J	`jnl`	A generative model for rank data based on insertion sort algorithm. Comput. Stat. Data Anal. Christophe Biernacki, Julien Jacques
2013	J	`jnl`	A predictive deviance criterion for selecting a generative model in semi-supervised classification. Comput. Stat. Data Anal. Vincent Vandewalle, Christophe Biernacki, Gilles Celeux, Gérard Govaert
2013	J	`jnl`	Simultaneous Gaussian model-based clustering for samples of multiple origins. Comput. Stat. Alexandre Lourme, Christophe Biernacki
2009	J	`jnl`	Pourquoi les modèles de mélange pour la classification ? Monde des Util. Anal. Données Christophe Biernacki
2009	B	`conf`	Updating a Logistic Discrimination Rule - Comparing Some Logistic Submodels in Credit-scoring. ICAART Farid Beninel, Christophe Biernacki
2007	—	`conf`	Parameter Setting for Evolutionary Latent Class Clustering. ISICA Damien Tessier, Marc Schoenauer, Christophe Biernacki, Gilles Celeux, Gérard Govaert
2006	J	`jnl`	Le logiciel MIXMOD d'analyse de mélange pour la classification et l'analyse discriminante. Monde des Util. Anal. Données Christophe Biernacki, Gilles Celeux, Anwuli Echenim, Gérard Govaert, Florent Langrognet
2006	J	`jnl`	Model-based cluster and discriminant analysis with the MIXMOD software. Comput. Stat. Data Anal. Christophe Biernacki, Gilles Celeux, Gérard Govaert, Florent Langrognet
2005	—	`conf`	Analyse discriminante sur données binaires lorsque les populations d'apprentissage et de test sont différentes. DMAS Julien Jacques, Christophe Biernacki
2005	—	`conf`	Relaxations de la régression logistique : modèles pour l'apprentissage sur une sous-population et la prédiction sur une autre. DMAS Farid Beninel, Christophe Biernacki
2004	J	`jnl`	Initializing EM using the properties of its trajectories in Gaussian mixtures. Stat. Comput. Christophe Biernacki
2003	J	`jnl`	Choosing starting values for the EM algorithm for getting the highest likelihood in multivariate Gaussian mixture models. Comput. Stat. Data Anal. Christophe Biernacki, Gilles Celeux, Gérard Govaert
2001	—	`conf`	Statistical modelling for image retrieval using a biological model of the perceptive colour space. ICIP (1) Anne Guérin-Dugué, Christophe Biernacki, Jeanny Hérault
2000	J	`jnl`	Introduction to the Special Section on Video Surveillance. IEEE Trans. Pattern Anal. Mach. Intell. Robert T. Collins, Christophe Biernacki, Gilles Celeux, Alan J. Lipton, Gérard Govaert, Takeo Kanade
1999	J	`jnl`	An improvement of the NEC criterion for assessing the number of clusters in a mixture model. Pattern Recognit. Lett. Christophe Biernacki, Gilles Celeux, Gérard Govaert