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20102025
most citedScikit-learn: Machine Learning in Python

63.6k citations · 66.4k across the 51 of their papers we have counts for

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Showing 2020Show all

5 papers · 1 filter

stat.ML2020★ 4 cited

Statistical control for spatio-temporal MEG/EEG source imaging with desparsified multi-task Lasso

Jérôme-Alexis Chevalier, Alexandre Gramfort, Joseph Salmon +1

Detecting where and when brain regions activate in a cognitive task or in a given clinical condition is the promise of non-invasive techniques like magnetoencephalography (MEG) or…

stat.ML2020★ 6 cited

Modeling Shared Responses in Neuroimaging Studies through MultiView ICA

Hugo Richard, Luigi Gresele, Aapo Hyvärinen +3

Group studies involving large cohorts of subjects are important to draw general conclusions about brain functional organization. However, the aggregation of data coming from multip…

q-bio.NC2020

Fine-grain atlases of functional modes for fMRI analysis

Kamalaker Dadi, Gaël Varoquaux, Antonia Machlouzarides-Shalit +4

Population imaging markedly increased the size of functional-imaging datasets, shedding new light on the neural basis of inter-individual differences. Analyzing these large data en…

q-bio.QM2020

NeuroQuery: comprehensive meta-analysis of human brain mapping

Jérôme Dockès, Russell Poldrack, Romain Primet +5

Reaching a global view of brain organization requires assembling evidence on widely different mental processes and mechanisms. The variety of human neuroscience concepts and termin…

math.ST2020★ 3 cited

Aggregation of Multiple Knockoffs

Tuan-Binh Nguyen, Jérôme-Alexis Chevalier, Bertrand Thirion +1

We develop an extension of the Knockoff Inference procedure, introduced by Barber and Candes (2015). This new method, called Aggregation of Multiple Knockoffs (AKO), addresses the…