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Learning brain regions via large-scale online structured sparse dictionary learning.

, , , and . NIPS, page 4610-4618. (2016)

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Speeding-Up Model-Selection in Graphnet via Early-Stopping and Univariate Feature-Screening., , , and . PRNI, page 17-20. IEEE Computer Society, (2015)Comparing functional connectivity based predictive models across datasets., , , , and . PRNI, page 1-4. IEEE, (2016)Fast clustering for scalable statistical analysis on structured images., , , and . CoRR, (2015)Learning brain regions via large-scale online structured sparse dictionary learning., , , and . NIPS, page 4610-4618. (2016)Scikit-learn: Machine Learning in Python., , , , , , , , , and 6 other author(s). J. Mach. Learn. Res., (2011)A fully Bayesian approach to the parcel-based detection-estimation of brain activity in fMRI., , , , , and . NeuroImage, 41 (3): 941-969 (2008)Joint prediction of multiple scores captures better individual traits from brain images., , , , and . NeuroImage, (2017)FReM - Scalable and stable decoding with fast regularized ensemble of models., , , and . NeuroImage, 180 (Part): 160-172 (2018)Social-sparsity brain decoders: faster spatial sparsity., , and . CoRR, (2016)Total variation regularization for fMRI-based prediction of behaviour, , , , and . CoRR, (2011)