Vincent Michel
Vincent Michel
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Scikit-learn: Machine learning in Python
F Pedregosa, G Varoquaux, A Gramfort, V Michel, B Thirion, O Grisel, ...
the Journal of machine Learning research 12, 2825-2830, 2011
An automatic valuation system in the human brain: evidence from functional neuroimaging
M Lebreton, S Jorge, V Michel, B Thirion, M Pessiglione
Neuron 64 (3), 431-439, 2009
Recruitment of an area involved in eye movements during mental arithmetic
A Knops, B Thirion, EM Hubbard, V Michel, S Dehaene
Science 324 (5934), 1583-1585, 2009
Deciphering cortical number coding from human brain activity patterns
E Eger, V Michel, B Thirion, A Amadon, S Dehaene, A Kleinschmidt
Current Biology 19 (19), 1608-1615, 2009
Multi-subject dictionary learning to segment an atlas of brain spontaneous activity
G Varoquaux, A Gramfort, F Pedregosa, V Michel, B Thirion
Information Processing in Medical Imaging: 22nd International Conference†…, 2011
Total variation regularization for fMRI-based prediction of behavior
V Michel, A Gramfort, G Varoquaux, E Eger, B Thirion
IEEE transactions on medical imaging 30 (7), 1328-1340, 2011
A supervised clustering approach for fMRI-based inference of brain states
V Michel, A Gramfort, G Varoquaux, E Eger, C Keribin, B Thirion
Pattern Recognition 45 (6), 2041-2049, 2012
Multiscale mining of fMRI data with hierarchical structured sparsity
R Jenatton, A Gramfort, V Michel, G Obozinski, E Eger, F Bach, B Thirion
SIAM Journal on Imaging Sciences 5 (3), 835-856, 2012
Publishing bibliographic records on the web of data: opportunities for the BnF (French National Library)
A Simon, R Wenz, V Michel, A Di Mascio
The Semantic Web: Semantics and Big Data: 10th International Conference†…, 2013
Mutual information-based feature selection enhances fMRI brain activity classification
V Michel, C Damon, B Thirion
2008 5th IEEE international symposium on biomedical imaging: From nano to†…, 2008
Random Forests based feature selection for decoding fMRI data
R Genuer, V Michel, E Eger, B Thirion
Proceedings Compstat 267, 1-8, 2010
The brainomics/localizer database
DP Orfanos, V Michel, Y Schwartz, P Pinel, A Moreno, D Le Bihan, ...
NeuroImage 144, 309-314, 2017
Multiclass sparse Bayesian regression for fMRI‐based prediction
V Michel, E Eger, C Keribin, B Thirion
International journal of biomedical imaging 2011 (1), 350838, 2011
A supervised clustering approach for extracting predictive information from brain activation images
V Michel, E Eger, C Keribin, JB Poline, B Thirion
2010 IEEE Computer Society Conference on Computer Vision and Pattern†…, 2010
Multi-class sparse bayesian regression for neuroimaging data analysis
V Michel, E Eger, C Keribin, B Thirion
International Workshop on Machine Learning in Medical Imaging, 50-57, 2010
Total Variation regularization enhances regression-based brain activity prediction
V Michel, A Gramfort, G Varoquaux, B Thirion
2010 First Workshop on Brain Decoding: Pattern Recognition Challenges in†…, 2010
Discriminating between populations of subjects based on FMRI data using sparse features selection and SRDA classifier
C Damon, P Pinel, M Perrot, V Michel, E Duchesnay, JB Poline, B Thirion
NeuroImage 47, S79, 2009
Adaptive multi-class bayesian sparse regression-an application to brain activity classification
V Michel, E Eger, C Keribin, B Thirion
MICCAI 2009: fMRI data analysis workshop-Medical Image Computing and†…, 2009
Brainomics: A management system for exploring and merging heterogeneous brain mapping data
V Michel, Y Schwartz, P Pinel, O Cayrol, A Moreno, JB Poline, V Frouin, ...
OHBM 2013 19th Annual Meeting of the Organization for Human Brain Mapping, 2013
A comparative study of algorithms for intra-and inter-subjects fMRI decoding
V Michel, A Gramfort, E Eger, G Varoquaux, B Thirion
Machine Learning and Interpretation in Neuroimaging. Lecture Notes in†…, 2012
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