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Alexandre Gramfort
Alexandre Gramfort
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Cited by
Year
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
942492011
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
34802013
MEG and EEG data analysis with MNE-Python
A Gramfort, M Luessi, E Larson, DA Engemann, D Strohmeier, ...
Frontiers in Neuroinformatics 7, 267, 2013
27662013
Machine learning for neuroimaging with scikit-learn
A Abraham, F Pedregosa, M Eickenberg, P Gervais, A Mueller, J Kossaifi, ...
Frontiers in neuroinformatics 8, 71792, 2014
18812014
MNE software for processing MEG and EEG data
A Gramfort, M Luessi, E Larson, DA Engemann, D Strohmeier, ...
neuroimage 86, 446-460, 2014
17912014
OpenMEEG: opensource software for quasistatic bioelectromagnetics
A Gramfort, T Papadopoulo, E Olivi, M Clerc
Biomedical engineering online 9, 1-20, 2010
11532010
Deep learning-based electroencephalography analysis: a systematic review
Y Roy, H Banville, I Albuquerque, A Gramfort, TH Falk, J Faubert
arXiv preprint arXiv:1901.05498, 2019
10802019
Pot: Python optimal transport
R Flamary, N Courty, A Gramfort, MZ Alaya, A Boisbunon, S Chambon, ...
Journal of Machine Learning Research 22 (78), 1-8, 2021
7882021
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
5622018
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
5452014
Autoreject: Automated artifact rejection for MEG and EEG data
M Jas, DA Engemann, Y Bekhti, F Raimondo, A Gramfort
NeuroImage 159, 417-429, 2017
3902017
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
3892017
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 23, 2010
3382010
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
3262013
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
2762013
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
2652012
Association between antidepressant use and reduced risk of intubation or death in hospitalized patients with COVID-19: results from an observational study
N Hoertel, M Sánchez-Rico, R Vernet, N Beeker, AS Jannot, A Neuraz, ...
Molecular psychiatry 26 (9), 5199-5212, 2021
2452021
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
2352011
Scikit-learn: Machine learning in python journal of machine learning research
F Pedregosa, G Varoquaux, A Gramfort, V Michel, B Thirion, O Grisel, ...
Journal of machine learning research 12, 2825-2830, 2011
1962011
Uncovering the structure of clinical EEG signals with self-supervised learning
H Banville, O Chehab, A Hyvärinen, DA Engemann, A Gramfort
Journal of Neural Engineering 18 (4), 046020, 2021
1892021
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Articles 1–20