Christine Keribin

Publication Activity (10 Years)

Years Active: 2010-2023
Publications (10 Years): 4

Top Topics

Imbalanced Class Distribution

Selection Criterion

Learning From Imbalanced Data

Top Venues

J. Mach. Learn. Res.

Publications

Christophe Biernacki, Julien Jacques, Christine Keribin
A Survey on Model-Based Co-Clustering: High Dimension and Estimation Challenges. J. Classif. 40 (2) (2023)
Olivier Coudray, Christine Keribin, Pascal Massart, Patrick Pamphile
Risk Bounds for Positive-Unlabeled Learning Under the Selected At Random Assumption. J. Mach. Learn. Res. 24 (2023)
Filippo Antonazzo, Christophe Biernacki, Christine Keribin
Frugal Gaussian clustering of huge imbalanced datasets through a bin-marginal approach. Stat. Comput. 33 (3) (2023)
Christine Keribin, Vincent Brault, Gilles Celeux, Gérard Govaert
Estimation and selection for the latent block model on categorical data. Stat. Comput. 25 (6) (2015)
Vincent Michel, Alexandre Gramfort, Gaël Varoquaux, Evelyn Eger, Christine Keribin, Bertrand Thirion
A supervised clustering approach for fMRI-based inference of brain states. Pattern Recognit. 45 (6) (2012)
Vincent Michel, Alexandre Gramfort, Gaël Varoquaux, Evelyn Eger, Christine Keribin, Bertrand Thirion
A supervised clustering approach for fMRI-based inference of brain states CoRR (2011)
Vincent Michel, Evelyn Eger, Christine Keribin, Bertrand Thirion
Multiclass Sparse Bayesian Regression for fMRI-Based Prediction. Int. J. Biomed. Imaging 2011 (2011)
Vincent Michel, Evelyn Eger, Christine Keribin, Bertrand Thirion
Multi-Class Sparse Bayesian Regression for Neuroimaging Data Analysis. MLMI (2010)
Vincent Michel, Evelyn Eger, Christine Keribin, Jean-Baptiste Poline, Bertrand Thirion
A supervised clustering approach for extracting predictive information from brain activation images. CVPR Workshops (2010)