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Alexandre Gramfort

Inria

91 papers hereh-index 61112.9k citations273 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • first author1
  • middle author48
  • last author36

Across the 85 of 91 papers where every author was matched, so the position is known.

fields
  • stat.ML44
  • cs.LG18
  • eess.SP9
  • cs.CV4
  • q-bio.NC4
  • stat.AP4
affiliations
  • Inria
Homepage
same name
  • Alexandre Gramfort — 7 papers, h 4
  • Alexandre Gramfort — 4 papers
  • Alexandre Gramfort — 3 papers, h 2
  • Alexandre Gramfort — 3 papers, h 4

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

activity
20102026
most citedScikit-learn: Machine Learning in Python

63.6k citations · 65.9k across the 85 of their papers we have counts for

collaborators
Showing cs.CVShow all

4 papers · 1 filter

cs.CV2015

Fast Optimal Transport Averaging of Neuroimaging Data

Alexandre Gramfort, Gabriel Peyré, Marco Cuturi

Knowing how the Human brain is anatomically and functionally organized at the level of a group of healthy individuals or patients is the primary goal of neuroimaging research. Yet…

cs.CV2013

Second order scattering descriptors predict fMRI activity due to visual textures

Michael Eickenberg, Fabian Pedregosa, Senoussi Mehdi +2

Second layer scattering descriptors are known to provide good classification performance on natural quasi-stationary processes such as visual textures due to their sensitivity to h…

cs.CV2011★ 148 cited

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…

cs.CV2011★ 140 cited

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…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.