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Olivier Grisel
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2020 – today
- 2024
- [i4]Julie Alberge, Vincent Maladière, Olivier Grisel, Judith Abécassis, Gaël Varoquaux:
Teaching Models To Survive: Proper Scoring Rule and Stochastic Optimization with Competing Risks. CoRR abs/2406.14085 (2024) - 2023
- [c3]Alexandre Blain, Bertrand Thirion, Olivier Grisel, Pierre Neuvial:
False Discovery Proportion control for aggregated Knockoffs. NeurIPS 2023 - 2020
- [j4]Gabriel A. Brat
, Griffin M. Weber
, Nils Gehlenborg, Paul Avillach
, Nathan P. Palmer, Luca Chiovato
, James J. Cimino
, Lemuel R. Waitman, Gilbert S. Omenn
, Alberto Malovini
, Jason H. Moore, Brett K. Beaulieu-Jones
, Valentina Tibollo
, Shawn N. Murphy, Sehi L'Yi
, Mark S. Keller
, Riccardo Bellazzi
, David A. Hanauer
, Arnaud Serret-Larmande
, Alba Gutiérrez-Sacristán
, John J. Holmes, Douglas S. Bell
, Kenneth D. Mandl
, Robert W. Follett
, Jeffrey G. Klann
, Douglas A. Murad, Luigia Scudeller
, Mauro Bucalo
, Katie G. Kirchoff
, Jean B. Craig, Jihad S. Obeid
, Vianney Jouhet
, Romain Griffier
, Sébastien Cossin
, Bertrand Moal, Lav P. Patel
, Antonio Bellasi
, Hans-Ulrich Prokosch, Detlef Kraska, Piotr Sliz
, Amelia L. M. Tan
, Kee Yuan Ngiam
, Alberto Zambelli
, Danielle L. Mowery
, Emily Schriver
, Batsal Devkota, Robert L. Bradford
, Mohamad Daniar, Christel Daniel, Vincent Benoit, Romain Bey, Nicolas Paris, Patricia Serre, Nina Orlova, Julien Dubiel, Martin Hilka, Anne-Sophie Jannot
, Stéphane Bréant, Judith Leblanc
, Nicolas Griffon
, Anita Burgun, Mélodie Bernaux, Arnaud Sandrin, Elisa Salamanca, Sylvie Cormont, Thomas Ganslandt
, Tobias Gradinger
, Julien Champ
, Martin Boeker
, Patricia Martel, Loic Esteve, Alexandre Gramfort, Olivier Grisel, Damien Leprovost
, Thomas Moreau, Gaël Varoquaux, Jill-Jênn Vie
, Demian Wassermann
, Arthur Mensch, Charlotte Caucheteux, Christian Haverkamp
, Guillaume Lemaitre, Silvano Bosari
, Ian D. Krantz
, Andrew M. South
, Tianxi Cai
, Isaac S. Kohane
:
International electronic health record-derived COVID-19 clinical course profiles: the 4CE consortium. npj Digit. Medicine 3 (2020)
2010 – 2019
- 2018
- [i3]Sergül Aydöre, Bertrand Thirion, Olivier Grisel, Gaël Varoquaux:
Using Feature Grouping as a Stochastic Regularizer for High-Dimensional Noisy Data. CoRR abs/1807.11718 (2018) - 2016
- [j3]Danilo Bzdok, Gaël Varoquaux, Olivier Grisel, Michael Eickenberg, Cyril Poupon, Bertrand Thirion:
Formal Models of the Network Co-occurrence Underlying Mental Operations. PLoS Comput. Biol. 12(6) (2016) - 2015
- [j2]Gaël Varoquaux, Lars Buitinck, Gilles Louppe, Olivier Grisel, Fabian Pedregosa, Andreas Mueller:
Scikit-learn: Machine Learning Without Learning the Machinery. GetMobile Mob. Comput. Commun. 19(1): 29-33 (2015) - [c2]Danilo Bzdok, Michael Eickenberg, Olivier Grisel, Bertrand Thirion, Gaël Varoquaux:
Semi-Supervised Factored Logistic Regression for High-Dimensional Neuroimaging Data. NIPS 2015: 3348-3356 - 2014
- [c1]Bertrand Thirion, Gaël Varoquaux
, Olivier Grisel, Cyril Poupon, Philippe Pinel:
Principal Component Regression Predicts Functional Responses across Individuals. MICCAI (2) 2014: 741-748 - 2013
- [i2]Lars Buitinck, Gilles Louppe, Mathieu Blondel, Fabian Pedregosa, Andreas Mueller, Olivier Grisel, Vlad Niculae, Peter Prettenhofer, Alexandre Gramfort, Jaques Grobler, Robert Layton, Jake VanderPlas, Arnaud Joly, Brian Holt, Gaël Varoquaux:
API design for machine learning software: experiences from the scikit-learn project. CoRR abs/1309.0238 (2013) - 2012
- [i1]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:
Scikit-learn: Machine Learning in Python. CoRR abs/1201.0490 (2012) - 2011
- [j1]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:
Scikit-learn: Machine Learning in Python. J. Mach. Learn. Res. 12: 2825-2830 (2011)
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