Gal Varoquaux
Gal Varoquaux
Research director, INRIA
Email verificata su normalesup.org - Home page
Titolo
Citata da
Citata da
Anno
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
389472011
The NumPy array: a structure for efficient numerical computation
S Van Der Walt, SC Colbert, G Varoquaux
Computing in Science & Engineering 13 (2), 22-30, 2011
73542011
API design for machine learning software: experiences from the scikit-learn project
L Buitinck, G Louppe, M Blondel, F Pedregosa, A Mueller, O Grisel, ...
arXiv preprint arXiv:1309.0238, 2013
11902013
Machine learning for neuroimaging with scikit-learn
A Abraham, F Pedregosa, M Eickenberg, P Gervais, A Mueller, J Kossaifi, ...
Frontiers in neuroinformatics 8, 14, 2014
7032014
Mayavi: 3D visualization of scientific data
P Ramachandran, G Varoquaux
Computing in Science & Engineering 13 (2), 40-51, 2011
5522011
The brain imaging data structure, a format for organizing and describing outputs of neuroimaging experiments
KJ Gorgolewski, T Auer, VD Calhoun, RC Craddock, S Das, EP Duff, ...
Scientific data 3 (1), 1-9, 2016
4712016
Brain covariance selection: better individual functional connectivity models using population prior
G Varoquaux, A Gramfort, JB Poline, B Thirion
arXiv preprint arXiv:1008.5071, 2010
3902010
NeuroVault. org: a web-based repository for collecting and sharing unthresholded statistical maps of the human brain
KJ Gorgolewski, G Varoquaux, G Rivera, Y Schwarz, SS Ghosh, ...
Frontiers in neuroinformatics 9, 8, 2015
3882015
Assessing and tuning brain decoders: cross-validation, caveats, and guidelines
G Varoquaux, PR Raamana, DA Engemann, A Hoyos-Idrobo, Y Schwartz, ...
NeuroImage 145, 166-179, 2017
3282017
Deriving reproducible biomarkers from multi-site resting-state data: An Autism-based example
A Abraham, MP Milham, A Di Martino, RC Craddock, D Samaras, ...
NeuroImage 147, 736-745, 2017
3032017
Which fMRI clustering gives good brain parcellations?
B Thirion, G Varoquaux, E Dohmatob, JB Poline
Frontiers in neuroscience 8, 167, 2014
2822014
Cross-validation failure: small sample sizes lead to large error bars
G Varoquaux
Neuroimage 180, 68-77, 2018
2632018
Detection of brain functional-connectivity difference in post-stroke patients using group-level covariance modeling
G Varoquaux, F Baronnet, A Kleinschmidt, P Fillard, B Thirion
International Conference on Medical Image Computing and Computer-Assisted…, 2010
2302010
Predicting brain-age from multimodal imaging data captures cognitive impairment
F Liem, G Varoquaux, J Kynast, F Beyer, SK Masouleh, JM Huntenburg, ...
Neuroimage 148, 179-188, 2017
2142017
Connectivity‐based parcellation: Critique and implications
SB Eickhoff, B Thirion, G Varoquaux, D Bzdok
Human brain mapping 36 (12), 4771-4792, 2015
2112015
Learning and comparing functional connectomes across subjects
G Varoquaux, RC Craddock
NeuroImage 80, 405-415, 2013
2002013
Scikit-learn: Machine learning without learning the machinery
G Varoquaux, L Buitinck, G Louppe, O Grisel, F Pedregosa, A Mueller
GetMobile: Mobile Computing and Communications 19 (1), 29-33, 2015
1922015
Multi-subject dictionary learning to segment an atlas of brain spontaneous activity
G Varoquaux, A Gramfort, F Pedregosa, V Michel, B Thirion
Biennial International Conference on information processing in medical…, 2011
1802011
Group-PCA for very large fMRI datasets
SM Smith, A Hyvrinen, G Varoquaux, KL Miller, CF Beckmann
Neuroimage 101, 738-749, 2014
1702014
Seeing it all: Convolutional network layers map the function of the human visual system
M Eickenberg, A Gramfort, G Varoquaux, B Thirion
NeuroImage 152, 184-194, 2017
1652017
Il sistema al momento non pu eseguire l'operazione. Riprova pi tardi.
Articoli 1–20