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Publication search results
found 46 matches
- 2023
- 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) - Michael P. B. Gallaugher, Christophe Biernacki, Paul D. McNicholas:
Parameter-wise co-clustering for high-dimensional data. Comput. Stat. 38(3): 1597-1619 (2023) - Filippo Antonazzo, Christophe Biernacki, Christine Keribin:
Frugal Gaussian clustering of huge imbalanced datasets through a bin-marginal approach. Stat. Comput. 33(3): 60 (2023) - 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
- 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) - Matthieu Marbac, Mohammed Sedki, Christophe Biernacki, Vincent Vandewalle:
Simultaneous Semiparametric Estimation of Clustering and Regression. J. Comput. Graph. Stat. 31(1): 477-485 (2022) - 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 - Guillaume Braun, Hemant Tyagi, Christophe Biernacki:
An iterative clustering algorithm for the Contextual Stochastic Block Model with optimality guarantees. ICML 2022: 2257-2291 - 2021
- Christophe Biernacki, Matthieu Marbac, Vincent Vandewalle:
Gaussian-Based Visualization of Gaussian and Non-Gaussian-Based Clustering. J. Classif. 38(1): 129-157 (2021) - Guillaume Braun, Hemant Tyagi, Christophe Biernacki:
Clustering multilayer graphs with missing nodes. AISTATS 2021: 2260-2268 - Guillaume Braun, Hemant Tyagi, Christophe Biernacki:
Clustering multilayer graphs with missing nodes. CoRR abs/2103.03235 (2021) - 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) - 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
- 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) - Margot Selosse, Julien Jacques, Christophe Biernacki:
Model-based co-clustering for mixed type data. Comput. Stat. Data Anal. 144: 106866 (2020) - Margot Selosse, Julien Jacques, Christophe Biernacki:
Textual data summarization using the Self-Organized Co-Clustering model. Pattern Recognit. 103: 107315 (2020) - Margot Selosse, Julien Jacques, Christophe Biernacki:
ordinalClust: An R Package to Analyze Ordinal Data. R J. 12(2): 173 (2020) - Luxin Zhang, Pascal Germain, Yacine Kessaci, Christophe Biernacki:
Target to Source Coordinate-Wise Adaptation of Pre-trained Models. ECML/PKDD (1) 2020: 378-394 - 2019
- Christophe Biernacki, Alexandre Lourme:
Unifying data units and models in (co-)clustering. Adv. Data Anal. Classif. 13(1): 7-31 (2019) - Maxime Baelde, Christophe Biernacki, Raphael Greff:
Real-Time monophonic and polyphonic audio classification from power spectra. Pattern Recognit. 92: 82-92 (2019) - 2018
- Julien Jacques, Christophe Biernacki:
Model-based co-clustering for ordinal data. Comput. Stat. Data Anal. 123: 101-115 (2018) - Anne-Lise Bedenel, Laetitia Jourdan, Christophe Biernacki:
Probability Estimation by an Adapted Genetic Algorithm in Web Insurance. LION 2018: 225-240 - 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
- Maxime Baelde, Christophe Biernacki, Raphael Greff:
A mixture model-based real-time audio sources classification method. ICASSP 2017: 2427-2431 - 2016
- 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) - 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) - 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
- Matthieu Marbac, Christophe Biernacki, Vincent Vandewalle:
Model-Based Clustering for Conditionally Correlated Categorical Data. J. Classif. 32(2): 145-175 (2015) - 2014
- Emil Eirola, Amaury Lendasse, Vincent Vandewalle, Christophe Biernacki:
Mixture of Gaussians for distance estimation with missing data. Neurocomputing 131: 32-42 (2014) - Julien Jacques, Quentin Grimonprez, Christophe Biernacki:
Rankcluster: An R Package for Clustering Multivariate Partial Rankings. R J. 6(1): 101 (2014)
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