B
Bertrand Thirion
Researcher at Université Paris-Saclay
Publications - 334
Citations - 91237
Bertrand Thirion is an academic researcher from Université Paris-Saclay. The author has contributed to research in topics: Cluster analysis & Cognition. The author has an hindex of 51, co-authored 311 publications receiving 73839 citations. Previous affiliations of Bertrand Thirion include French Institute for Research in Computer Science and Automation & French Institute of Health and Medical Research.
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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
Machine learning for neuroimaging with scikit-learn.
Alexandre Abraham,Alexandre Abraham,Fabian Pedregosa,Fabian Pedregosa,Michael Eickenberg,Michael Eickenberg,Philippe Gervais,Philippe Gervais,Andreas Mueller,Jean Kossaifi,Alexandre Gramfort,Alexandre Gramfort,Alexandre Gramfort,Bertrand Thirion,Bertrand Thirion,Gaël Varoquaux,Gaël Varoquaux +16 more
TL;DR: It is illustrated how scikit-learn, a Python machine learning library, can be used to perform some key analysis steps and its application to neuroimaging data provides a versatile tool to study the brain.
Journal ArticleDOI
Assessing and tuning brain decoders: cross-validation, caveats, and guidelines
Gaël Varoquaux,Pradeep Reddy Raamana,Denis A. Engemann,Andrés Hoyos-Idrobo,Yannick Schwartz,Bertrand Thirion +5 more
TL;DR: T theory and experiments outline that the popular “leave‐one‐out” strategy leads to unstable and biased estimates, and a repeated random splits method should be preferred, and it can be favorable to use sane defaults, in particular for non‐sparse decoders.
Journal ArticleDOI
Variability in the analysis of a single neuroimaging dataset by many teams
Rotem Botvinik-Nezer,Rotem Botvinik-Nezer,Felix Holzmeister,Colin F. Camerer,Anna Dreber,Anna Dreber,Juergen Huber,Magnus Johannesson,Michael Kirchler,Roni Iwanir,Jeanette A. Mumford,R. Alison Adcock,Paolo Avesani,Paolo Avesani,Blazej M. Baczkowski,Aahana Bajracharya,Leah Bakst,Sheryl B. Ball,Marco Barilari,Nadège Bault,Derek Beaton,Julia Beitner,Julia Beitner,Roland G. Benoit,Ruud Berkers,Jamil P. Bhanji,Bharat B. Biswal,Bharat B. Biswal,Sebastian Bobadilla-Suarez,Tiago Bortolini,Katherine L. Bottenhorn,Alexander Bowring,Senne Braem,Senne Braem,Hayley R. Brooks,Emily G. Brudner,Cristian Buc Calderon,Julia A. Camilleri,Jaime J. Castrellon,Luca Cecchetti,Edna C. Cieslik,Zachary J. Cole,Olivier Collignon,Olivier Collignon,Robert W. Cox,William A. Cunningham,Stefan Czoschke,Kamalaker Dadi,Charles P. Davis,Alberto De Luca,Mauricio R. Delgado,Lysia Demetriou,Lysia Demetriou,Jeffrey B. Dennison,Xin Di,Xin Di,Erin W. Dickie,Ekaterina Dobryakova,Claire Donnat,Juergen Dukart,Niall W. Duncan,Joke Durnez,Amr Eed,Simon B. Eickhoff,Andrew Erhart,Laura Fontanesi,G. Matthew Fricke,Fu Shiguang,Adriana Galván,Remi Gau,Sarah Genon,Tristan Glatard,Enrico Glerean,Jelle J. Goeman,Sergej A.E. Golowin,Carlos González-García,Krzysztof J. Gorgolewski,Cheryl L. Grady,Mikella A. Green,João F. Guassi Moreira,Olivia Guest,Shabnam Hakimi,J. Paul Hamilton,Roeland Hancock,Giacomo Handjaras,Bronson Harry,Colin Hawco,Peer Herholz,Gabrielle Herman,Stephan Heunis,Felix Hoffstaedter,Jeremy Hogeveen,Susan Holmes,Chuan-Peng Hu,Scott A. Huettel,Matthew Hughes,Vittorio Iacovella,Alexandru D. Iordan,Peder M. Isager,Ayse Ilkay Isik,Andrew Jahn,Matthew R. Johnson,Tom Johnstone,Michael Joseph,Anthony C. Juliano,Joseph W. Kable,Michalis Kassinopoulos,Cemal Koba,Xiangzhen Kong,Timothy R. Koscik,Nuri Erkut Kucukboyaci,Nuri Erkut Kucukboyaci,Brice A. Kuhl,Sebastian Kupek,Angela R. Laird,Claus Lamm,Robert Langner,Nina Lauharatanahirun,Hongmi Lee,Sangil Lee,Alexander Leemans,Andrea Leo,Elise Lesage,Flora Li,Monica Y.C. Li,Monica Y.C. Li,Phui Cheng Lim,Evan N. Lintz,Schuyler W. Liphardt,Annabel B. Losecaat Vermeer,Bradley C. Love,Bradley C. Love,Michael Mack,Norberto Malpica,Theo Marins,Camille Maumet,Kelsey McDonald,Joseph T. McGuire,Helena Melero,Helena Melero,Adriana S. Méndez Leal,Benjamin Meyer,Benjamin Meyer,Kristin N. Meyer,Glad Mihai,Glad Mihai,Georgios D. Mitsis,Jorge Moll,Dylan M. Nielson,Gustav Nilsonne,Gustav Nilsonne,Michael Notter,Emanuele Olivetti,Emanuele Olivetti,Adrian I. Onicas,Paolo Papale,Paolo Papale,Kaustubh R. Patil,Jonathan E. Peelle,Alexandre Pérez,Doris Pischedda,Jean-Baptiste Poline,Jean-Baptiste Poline,Yanina Prystauka,Shruti Ray,Patricia A. Reuter-Lorenz,Richard C. Reynolds,Emiliano Ricciardi,Jenny R. Rieck,Anais Rodriguez-Thompson,Anthony Romyn,Taylor Salo,Gregory R. Samanez-Larkin,Emilio Sanz-Morales,Margaret L. Schlichting,Douglas H. Schultz,Qiang Shen,Margaret A. Sheridan,Jennifer A. Silvers,Kenny Skagerlund,Alec Smith,David V. Smith,Peter Sokol-Hessner,Simon R. Steinkamp,Sarah M. Tashjian,Bertrand Thirion,John Thorp,Gustav Tinghög,Loreen Tisdall,Loreen Tisdall,Steven H. Tompson,Claudio Toro-Serey,Juan Carlos de la Torre,Leonardo Tozzi,Vuong Truong,Luca Turella,Anna van 't Veer,Tom Verguts,Jean M. Vettel,Jean M. Vettel,Jean M. Vettel,Sagana Vijayarajah,Khoi Vo,Matthew B. Wall,Matthew B. Wall,Wouter D. Weeda,Susanne Weis,David J. White,David Wisniewski,Alba Xifra-Porxas,Emily A. Yearling,Sangsuk Yoon,Rui Yuan,Kenneth S. L. Yuen,Kenneth S. L. Yuen,Lei Zhang,Xu Zhang,Joshua E. Zosky,Thomas E. Nichols,Russell A. Poldrack,Tom Schonberg +220 more
TL;DR: The results obtained by seventy different teams analysing the same functional magnetic resonance imaging dataset show substantial variation, highlighting the influence of analytical choices and the importance of sharing workflows publicly and performing multiple analyses.