V
Vincent Michel
Researcher at French Institute for Research in Computer Science and Automation
Publications - 31
Citations - 78918
Vincent Michel is an academic researcher from French Institute for Research in Computer Science and Automation. The author has contributed to research in topics: Feature selection & Brain-reading. The author has an hindex of 16, co-authored 30 publications receiving 64348 citations. Previous affiliations of Vincent Michel include French Alternative Energies and Atomic Energy Commission & University of Paris-Sud.
Papers
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Journal Article
Scikit-learn: Machine Learning in Python
Fabian Pedregosa,Gaël Varoquaux,Alexandre Gramfort,Vincent Michel,Bertrand Thirion,Olivier Grisel,Mathieu Blondel,Peter Prettenhofer,Ron Weiss,Vincent Dubourg,Jake Vanderplas,Alexandre Passos,David Cournapeau,Matthieu Brucher,Matthieu Perrot,Edouard Duchesnay +15 more
TL;DR: 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, focusing on bringing machine learning to non-specialists using a general-purpose high-level language.
Posted Content
Scikit-learn: Machine Learning in Python
Fabian Pedregosa,Gaël Varoquaux,Alexandre Gramfort,Vincent Michel,Bertrand Thirion,Olivier Grisel,Mathieu Blondel,Andreas Müller,Joel Nothman,Gilles Louppe,Peter Prettenhofer,Ron Weiss,Vincent Dubourg,Jake Vanderplas,Alexandre Passos,David Cournapeau,Matthieu Brucher,Matthieu Perrot,Edouard Duchesnay +18 more
TL;DR: Scikit-learn as mentioned in this paper is a Python module integrating a wide range of state-of-the-art machine learning algorithms for medium-scale supervised and unsupervised problems.
Journal ArticleDOI
An automatic valuation system in the human brain: evidence from functional neuroimaging.
Maël Lebreton,Maël Lebreton,Soledad Jorge,Soledad Jorge,Vincent Michel,Bertrand Thirion,Mathias Pessiglione,Mathias Pessiglione +7 more
TL;DR: It is verified that brain regions encoding preferences can valuate various categories of objects and further test whether they still express preferences when attention is diverted to another task.
Journal ArticleDOI
Recruitment of an Area Involved in Eye Movements During Mental Arithmetic
André Knops,André Knops,André Knops,Bertrand Thirion,Bertrand Thirion,Edward M. Hubbard,Edward M. Hubbard,Edward M. Hubbard,Vincent Michel,Vincent Michel,Vincent Michel,Stanislas Dehaene +11 more
TL;DR: Evidence is provided that addition and subtraction are encoded within the same cortical region that is responsible for eye movements to the right and left, such that the neural activity associated with addition could be distinguished from that associated with subtraction by a computational classifier trained to discriminate between rightward and leftward eye movements.
Book ChapterDOI
Multi-subject dictionary learning to segment an atlas of brain spontaneous activity
TL;DR: A new hierarchical probabilistic model for brain activity patterns that does not require an experimental design to be specified is given and this model is estimated in the dictionary learning framework, learning simultaneously latent spatial maps and the corresponding brain activity time-series.