Christophe Biernacki

Orcid: 0000-0002-8995-0568

According to our database1, Christophe Biernacki authored at least 44 papers between 1999 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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Links

Online presence:

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Bibliography

2024
Model-based clustering with missing not at random data.
Stat. Comput., August, 2024

2023
Parameter-wise co-clustering for high-dimensional data.
Comput. Stat., September, 2023

A Survey on Model-Based Co-Clustering: High Dimension and Estimation Challenges.
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
Simultaneous Semiparametric Estimation of Clustering and Regression.
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
Gaussian-Based Visualization of Gaussian and Non-Gaussian-Based Clustering.
J. Classif., 2021

Clustering multilayer graphs with missing nodes.
Proceedings of the 24th International Conference on Artificial Intelligence and Statistics, 2021

2020
ordinalClust: An R Package to Analyze Ordinal Data.
R J., 2020

Textual data summarization using the Self-Organized Co-Clustering model.
Pattern Recognit., 2020

Model-based co-clustering for mixed type data.
Comput. Stat. Data Anal., 2020

Special issue on "Innovations on model based clustering and classification".
Adv. Data Anal. Classif., 2020

Target to Source Coordinate-Wise Adaptation of Pre-trained Models.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2020

2019
Real-Time monophonic and polyphonic audio classification from power spectra.
Pattern Recognit., 2019

Unifying data units and models in (co-)clustering.
Adv. Data Anal. Classif., 2019

2018
Model-based co-clustering for ordinal data.
Comput. Stat. Data Anal., 2018

Relaxing the Identically Distributed Assumption in Gaussian Co-Clustering for High Dimensional Data.
CoRR, 2018

Probability Estimation by an Adapted Genetic Algorithm in Web Insurance.
Proceedings of the Learning and Intelligent Optimization - 12th International Conference, 2018

2017
A mixture model-based real-time audio sources classification method.
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

Variable Clustering in High-Dimensional Linear Regression: The R Package clere.
R J., 2016

Latent class model with conditional dependency per modes to cluster categorical data.
Adv. Data Anal. Classif., 2016

2015
Model-Based Clustering for Conditionally Correlated Categorical Data.
J. Classif., 2015

2014
Stable and visualizable Gaussian parsimonious clustering models.
Stat. Comput., 2014

Rankcluster: An R Package for Clustering Multivariate Partial Rankings.
R J., 2014

Mixture of Gaussians for distance estimation with missing data.
Neurocomputing, 2014

2013
Simultaneous Gaussian model-based clustering for samples of multiple origins.
Comput. Stat., 2013

A predictive deviance criterion for selecting a generative model in semi-supervised classification.
Comput. Stat. Data Anal., 2013

A generative model for rank data based on insertion sort algorithm.
Comput. Stat. Data Anal., 2013

2009
Pourquoi les modèles de mélange pour la classification ?
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
Parameter Setting for Evolutionary Latent Class Clustering.
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

Model-based cluster and discriminant analysis with the MIXMOD software.
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
Initializing EM using the properties of its trajectories in Gaussian mixtures.
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
Introduction to the Special Section on Video Surveillance.
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


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