Alexandre Gramfort
Alexandre Gramfort
INRIA, Univ. Paris-Saclay
Verified email at inria.fr - Homepage
TitleCited byYear
Scikit-learn: Machine learning in Python
F Pedregosa, G Varoquaux, A Gramfort, V Michel, B Thirion, O Grisel, ...
Journal of machine learning research 12 (Oct), 2825-2830, 2011
219972011
MNE software for processing MEG and EEG data
A Gramfort, M Luessi, E Larson, DA Engemann, D Strohmeier, ...
Neuroimage 86, 446-460, 2014
6452014
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
6222013
OpenMEEG: opensource software for quasistatic bioelectromagnetics
A Gramfort, T Papadopoulo, E Olivi, M Clerc
Biomedical engineering online 9 (1), 45, 2010
4842010
MEG and EEG data analysis with MNE-Python
A Gramfort, M Luessi, E Larson, DA Engemann, D Strohmeier, ...
Frontiers in neuroscience 7, 267, 2013
4592013
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
3432014
Brain covariance selection: better individual functional connectivity models using population prior
G Varoquaux, A Gramfort, JB Poline, B Thirion
Advances in neural information processing systems, 2334-2342, 2010
2162010
Large scale screening of neural signatures of consciousness in patients in a vegetative or minimally conscious state
JD Sitt, JR King, I El Karoui, B Rohaut, F Faugeras, A Gramfort, L Cohen, ...
Brain 137 (8), 2258-2270, 2014
2112014
Local and long-range functional connectivity is reduced in concert in autism spectrum disorders
S Khan, A Gramfort, NR Shetty, MG Kitzbichler, S Ganesan, JM Moran, ...
Proceedings of the National Academy of Sciences 110 (8), 3107-3112, 2013
2032013
Time-frequency mixed-norm estimates: Sparse M/EEG imaging with non-stationary source activations
A Gramfort, D Strohmeier, J Haueisen, MS Hämäläinen, M Kowalski
NeuroImage 70, 410-422, 2013
1702013
Mixed-norm estimates for the M/EEG inverse problem using accelerated gradient methods
A Gramfort, M Kowalski, M Hämäläinen
Physics in Medicine & Biology 57 (7), 1937, 2012
1612012
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
1402011
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
1402011
Single-trial decoding of auditory novelty responses facilitates the detection of residual consciousness
JR King, F Faugeras, A Gramfort, A Schurger, I El Karoui, JD Sitt, ...
Neuroimage 83, 726-738, 2013
1092013
Multi-scale mining of fMRI data with hierarchical structured sparsity
R Jenatton, A Gramfort, V Michel, G Obozinski, F Bach, B Thirion
Pattern Recognition in NeuroImaging (PRNI), 2011 International Workshop on …, 2011
1002011
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
932012
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
912017
Forward field computation with OpenMEEG
A Gramfort, T Papadopoulo, E Olivi, M Clerc
Computational intelligence and neuroscience 2011, 2011
892011
A deep learning architecture for temporal sleep stage classification using multivariate and multimodal time series
S Chambon, MN Galtier, PJ Arnal, G Wainrib, A Gramfort
IEEE Transactions on Neural Systems and Rehabilitation Engineering 26 (4 …, 2018
852018
Encoding of event timing in the phase of neural oscillations
A Kösem, A Gramfort, V van Wassenhove
Neuroimage 92, 274-284, 2014
792014
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