Publications by authors named "Benoit Da Mota"

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Scalable estimator of the diversity for de novo molecular generation resulting in a more robust QM dataset (OD9) and a more efficient molecular optimization.
Jules Leguy, Marta Glavatskikh, Thomas Cauchy, Benoit Da Mota

J Cheminform· October 2021

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EvoMol: a flexible and interpretable evolutionary algorithm for unbiased de novo molecular generation.
Jules Leguy, Thomas Cauchy, Marta Glavatskikh, Béatrice Duval, Benoit Da Mota

J Cheminform· September 2020

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Dataset's chemical diversity limits the generalizability of machine learning predictions.
Marta Glavatskikh, Jules Leguy, Gilles Hunault, Thomas Cauchy, Benoit Da Mota

J Cheminform· November 2019

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Robust regression for large-scale neuroimaging studies.
Virgile Fritsch, Benoit Da Mota, Eva Loth, Gaël Varoquaux, Tobias Banaschewski

Neuroimage· May 2015

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Randomized parcellation based inference.
Benoit Da Mota, Virgile Fritsch, Gaël Varoquaux, Tobias Banaschewski, Gareth J Barker

Neuroimage· April 2014

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Enhancing the reproducibility of group analysis with randomized brain parcellations.
Benoit Da Mota, Virgile Fritsch, Gaël Varoquaux, Vincent Frouin, Jean-Baptiste Poline

Med Image Comput Comput Assist Interv· April 2014

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Machine learning patterns for neuroimaging-genetic studies in the cloud.
Benoit Da Mota, Radu Tudoran, Alexandru Costan, Gaël Varoquaux, Goetz Brasche

Front Neuroinform· April 2014

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