Cathy Maugis-Rabusseau

Author

Institut National des Sciences Appliquées de Toulouse

Also Known As

C. Maugis-Rabusseau, Cathy Maugis-Rabusseau, Cathy Maugis‐Rabusseau, Maugis, Cathy, Maugis-Rabusseau, Cathy, Rau, Andrea

Publications

297

Citations

H-Index

Concepts

All Affiliations

Institut National des Sciences Appliquées de Toulouse Institut de Mathématiques de Toulouse AgroParisTech Université Toulouse III - Paul Sabatier

About

Cathy Maugis-Rabusseau is an author at Institut National des Sciences Appliquées de Toulouse specializing in engineering, data science, and statistics.

Top Concepts

#	Concept	H-Index	Publications	Citations
1	Engineering	5	5	137
2	Data Science	4	4	111
3	Medicine	1	1	15
4	Biostatistics	1	1	15
5	Bayesian Methods	1	1	27

Cathy Maugis-Rabusseau

Publications

254

Citations

H-Index

Page 1

	Year	Citations
Co-expression analysis of high-throughput transcriptome sequencing data with Poisson mixture models Andréa Rau, Cathy Maugis-Rabusseau, Marie-Laure Martin-Magniette, Bioinformatics	2015	84
Variable selection in model-based clustering and discriminant analysis with a regularization approach Gilles Celeux, Cathy Maugis-Rabusseau, Mohammed Sedki Advances in Data Analysis and Classification EngineeringHigh-dimensional MethodData ScienceData MiningPattern Recognition	2018	40
Comparing Model Selection and Regularization Approaches to Variable Selection in Model-Based Clustering Gilles Celeux, Marie‐Laure Martin‐Magniette, Cathy Maugis-Rabusseau, arXiv (Cornell University) Cluster ComputingDocument ClusteringEngineeringMachine LearningData Science	2013	29
Adaptive density estimation for clustering with Gaussian mixtures Cathy Maugis-Rabusseau, Bertrand Michel ESAIM Probability and Statistics Mixture DistributionEngineeringDensity EstimationMixture ModelsData Science	2012	27
On the estimation of mixtures of Poisson regression models with large number of components Panagiotis Papastamoulis, Marie-Laure Martin-Magniette, Cathy Maugis-Rabusseau Computational Statistics & Data Analysis Mixture DistributionLarge NumberEngineeringDensity EstimationMixture Analysis	2014	26
Comparing Model Selection and Regularization Approaches to Variable Selection in Model-Based Clustering. Gilles Celeux, Marie‐Laure Martin‐Magniette, Cathy Maugis-Rabusseau, PubMed	2014	22
Clustering high-throughput sequencing data with Poisson mixture models Andréa Rau, Gilles Celeux, Marie‐Laure Martin‐Magniette, HAL (Le Centre pour la Communication Scientifique Directe) Cluster ComputingEngineeringGenomicsBioinformatics DatabaseGene Expression Profiling	2011	15
Clustering transformed compositional data using K-means, with applications in gene expression and bicycle sharing system data Antoine Godichon‐Baggioni, Cathy Maugis-Rabusseau, Andréa Rau HAL (Le Centre pour la Communication Scientifique Directe)	2017	11

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