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Christophe Biernacki
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2020 – today
- 2024
- [j31]Aude Sportisse, Matthieu Marbac, Fabien Laporte, Gilles Celeux, Claire Boyer, Julie Josse, Christophe Biernacki:
Model-based clustering with missing not at random data. Stat. Comput. 34(4): 135 (2024) - 2023
- [j30]Christophe Biernacki, Julien Jacques, Christine Keribin:
A Survey on Model-Based Co-Clustering: High Dimension and Estimation Challenges. J. Classif. 40(2): 332-381 (2023) - [j29]Michael P. B. Gallaugher, Christophe Biernacki, Paul D. McNicholas:
Parameter-wise co-clustering for high-dimensional data. Comput. Stat. 38(3): 1597-1619 (2023) - [j28]Filippo Antonazzo, Christophe Biernacki, Christine Keribin:
Frugal Gaussian clustering of huge imbalanced datasets through a bin-marginal approach. Stat. Comput. 33(3): 60 (2023) - [i5]Violaine Courrier, Christophe Biernacki, Cristian Preda, Benjamin Vittrant:
Comparative study of clustering models for multivariate time series from connected medical devices. CoRR abs/2312.17286 (2023) - 2022
- [j27]Luxin Zhang, Pascal Germain, Yacine Kessaci, Christophe Biernacki:
Interpretable domain adaptation using unsupervised feature selection on pre-trained source models. Neurocomputing 511: 319-336 (2022) - [j26]Matthieu Marbac, Mohammed Sedki, Christophe Biernacki, Vincent Vandewalle:
Simultaneous Semiparametric Estimation of Clustering and Regression. J. Comput. Graph. Stat. 31(1): 477-485 (2022) - [c11]Luxin Zhang, Pascal Germain, Yacine Kessaci, Christophe Biernacki:
Interpretable Domain Adaptation for Hidden Subdomain Alignment in the Context of Pre-trained Source Models. AAAI 2022: 9057-9065 - [c10]Guillaume Braun, Hemant Tyagi, Christophe Biernacki:
An iterative clustering algorithm for the Contextual Stochastic Block Model with optimality guarantees. ICML 2022: 2257-2291 - 2021
- [j25]Christophe Biernacki, Matthieu Marbac, Vincent Vandewalle:
Gaussian-Based Visualization of Gaussian and Non-Gaussian-Based Clustering. J. Classif. 38(1): 129-157 (2021) - [c9]Guillaume Braun, Hemant Tyagi, Christophe Biernacki:
Clustering multilayer graphs with missing nodes. AISTATS 2021: 2260-2268 - [i4]Guillaume Braun, Hemant Tyagi, Christophe Biernacki:
Clustering multilayer graphs with missing nodes. CoRR abs/2103.03235 (2021) - [i3]Aude Sportisse, Christophe Biernacki, Claire Boyer, Julie Josse, Matthieu Marbac Lourdelle, Gilles Celeux, Fabien Laporte:
Model-based Clustering with Missing Not At Random Data. CoRR abs/2112.10425 (2021) - [i2]Guillaume Braun, Hemant Tyagi, Christophe Biernacki:
An iterative clustering algorithm for the Contextual Stochastic Block Model with optimality guarantees. CoRR abs/2112.10467 (2021) - 2020
- [j24]Christophe Biernacki, Luis Angel García-Escudero, Salvatore Ingrassia:
Special issue on "Innovations on model based clustering and classification". Adv. Data Anal. Classif. 14(2): 231-234 (2020) - [j23]Margot Selosse, Julien Jacques, Christophe Biernacki:
Model-based co-clustering for mixed type data. Comput. Stat. Data Anal. 144: 106866 (2020) - [j22]Margot Selosse, Julien Jacques, Christophe Biernacki:
Textual data summarization using the Self-Organized Co-Clustering model. Pattern Recognit. 103: 107315 (2020) - [j21]Margot Selosse, Julien Jacques, Christophe Biernacki:
ordinalClust: An R Package to Analyze Ordinal Data. R J. 12(2): 173 (2020) - [c8]Luxin Zhang, Pascal Germain, Yacine Kessaci, Christophe Biernacki:
Target to Source Coordinate-Wise Adaptation of Pre-trained Models. ECML/PKDD (1) 2020: 378-394
2010 – 2019
- 2019
- [j20]Christophe Biernacki, Alexandre Lourme:
Unifying data units and models in (co-)clustering. Adv. Data Anal. Classif. 13(1): 7-31 (2019) - [j19]Maxime Baelde, Christophe Biernacki, Raphael Greff:
Real-Time monophonic and polyphonic audio classification from power spectra. Pattern Recognit. 92: 82-92 (2019) - 2018
- [j18]Julien Jacques, Christophe Biernacki:
Model-based co-clustering for ordinal data. Comput. Stat. Data Anal. 123: 101-115 (2018) - [c7]Anne-Lise Bedenel, Laetitia Jourdan, Christophe Biernacki:
Probability Estimation by an Adapted Genetic Algorithm in Web Insurance. LION 2018: 225-240 - [i1]Michael P. B. Gallaugher, Christophe Biernacki, Paul D. McNicholas:
Relaxing the Identically Distributed Assumption in Gaussian Co-Clustering for High Dimensional Data. CoRR abs/1808.08366 (2018) - 2017
- [c6]Maxime Baelde, Christophe Biernacki, Raphael Greff:
A mixture model-based real-time audio sources classification method. ICASSP 2017: 2427-2431 - 2016
- [j17]Matthieu Marbac, Christophe Biernacki, Vincent Vandewalle:
Latent class model with conditional dependency per modes to cluster categorical data. Adv. Data Anal. Classif. 10(2): 183-207 (2016) - [j16]Loïc Yengo, Julien Jacques, Christophe Biernacki, Mickaël Canouil:
Variable Clustering in High-Dimensional Linear Regression: The R Package clere. R J. 8(1): 92 (2016) - [j15]Christophe Biernacki, Julien Jacques:
Model-based clustering of multivariate ordinal data relying on a stochastic binary search algorithm. Stat. Comput. 26(5): 929-943 (2016) - 2015
- [j14]Matthieu Marbac, Christophe Biernacki, Vincent Vandewalle:
Model-Based Clustering for Conditionally Correlated Categorical Data. J. Classif. 32(2): 145-175 (2015) - 2014
- [j13]Emil Eirola, Amaury Lendasse, Vincent Vandewalle, Christophe Biernacki:
Mixture of Gaussians for distance estimation with missing data. Neurocomputing 131: 32-42 (2014) - [j12]Julien Jacques, Quentin Grimonprez, Christophe Biernacki:
Rankcluster: An R Package for Clustering Multivariate Partial Rankings. R J. 6(1): 101 (2014) - [j11]Christophe Biernacki, Alexandre Lourme:
Stable and visualizable Gaussian parsimonious clustering models. Stat. Comput. 24(6): 953-969 (2014) - 2013
- [j10]Christophe Biernacki, Julien Jacques:
A generative model for rank data based on insertion sort algorithm. Comput. Stat. Data Anal. 58: 162-176 (2013) - [j9]Vincent Vandewalle, Christophe Biernacki, Gilles Celeux, Gérard Govaert:
A predictive deviance criterion for selecting a generative model in semi-supervised classification. Comput. Stat. Data Anal. 64: 220-236 (2013) - [j8]Alexandre Lourme, Christophe Biernacki:
Simultaneous Gaussian model-based clustering for samples of multiple origins. Comput. Stat. 28(1): 371-391 (2013)
2000 – 2009
- 2009
- [j7]Christophe Biernacki:
Pourquoi les modèles de mélange pour la classification ? Monde des Util. Anal. Données 40: 1-22 (2009) - [c5]Farid Beninel, Christophe Biernacki:
Updating a Logistic Discrimination Rule - Comparing Some Logistic Submodels in Credit-scoring. ICAART 2009: 267-274 - 2007
- [c4]Damien Tessier, Marc Schoenauer, Christophe Biernacki, Gilles Celeux, Gérard Govaert:
Parameter Setting for Evolutionary Latent Class Clustering. ISICA 2007: 472-484 - 2006
- [j6]Christophe Biernacki, Gilles Celeux, Gérard Govaert, Florent Langrognet:
Model-based cluster and discriminant analysis with the MIXMOD software. Comput. Stat. Data Anal. 51(2): 587-600 (2006) - [j5]Christophe Biernacki, Gilles Celeux, Anwuli Echenim, Gérard Govaert, Florent Langrognet:
Le logiciel MIXMOD d'analyse de mélange pour la classification et l'analyse discriminante. Monde des Util. Anal. Données 35: 25-44 (2006) - 2005
- [c3]Julien Jacques, Christophe Biernacki:
Analyse discriminante sur données binaires lorsque les populations d'apprentissage et de test sont différentes. DMAS 2005: 129 - [c2]Farid Beninel, Christophe Biernacki:
Relaxations de la régression logistique : modèles pour l'apprentissage sur une sous-population et la prédiction sur une autre. DMAS 2005: 200-212 - 2004
- [j4]Christophe Biernacki:
Initializing EM using the properties of its trajectories in Gaussian mixtures. Stat. Comput. 14(3): 267-279 (2004) - 2003
- [j3]Christophe Biernacki, Gilles Celeux, Gérard Govaert:
Choosing starting values for the EM algorithm for getting the highest likelihood in multivariate Gaussian mixture models. Comput. Stat. Data Anal. 41(3-4): 561-575 (2003) - 2001
- [c1]Anne Guérin-Dugué, Christophe Biernacki, Jeanny Hérault:
Statistical modelling for image retrieval using a biological model of the perceptive colour space. ICIP (1) 2001: 209-212 - 2000
- [j2]Robert T. Collins, Christophe Biernacki, Gilles Celeux, Alan J. Lipton, Gérard Govaert, Takeo Kanade:
Introduction to the Special Section on Video Surveillance. IEEE Trans. Pattern Anal. Mach. Intell. 22(8): 745-746 (2000)
1990 – 1999
- 1999
- [j1]Christophe Biernacki, Gilles Celeux, Gérard Govaert:
An improvement of the NEC criterion for assessing the number of clusters in a mixture model. Pattern Recognit. Lett. 20(3): 267-272 (1999)
Coauthor Index
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