63.6k citations · 63.9k across the 4 of their papers we have counts for
4 papers
Scikit-learn: Machine Learning in Python
Fabian Pedregosa, Gaël Varoquaux, Alexandre Gramfort +16
Scikit-learn is a Python module integrating a wide range of state-of-the-art machine learning algorithms for medium-scale supervised and unsupervised problems. This package focuses…
Multi-scale Mining of fMRI data with Hierarchical Structured Sparsity
Rodolphe Jenatton, Alexandre Gramfort, Vincent Michel +4
Inverse inference, or "brain reading", is a recent paradigm for analyzing functional magnetic resonance imaging (fMRI) data, based on pattern recognition and statistical learning.…
A supervised clustering approach for fMRI-based inference of brain states
Vincent Michel, Alexandre Gramfort, Gaël Varoquaux +3
We propose a method that combines signals from many brain regions observed in functional Magnetic Resonance Imaging (fMRI) to predict the subject's behavior during a scanning sessi…
Total variation regularization for fMRI-based prediction of behaviour
Vincent Michel, Alexandre Gramfort, Gaël Varoquaux +2
While medical imaging typically provides massive amounts of data, the extraction of relevant information for predictive diagnosis remains a difficult challenge. Functional MRI (fMR…