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Simple fully automated group classification on brain FMRI., , , and . ISBI, page 1145-1148. IEEE, (2010)The effect of practice on a sustained attention task in cocaine abusers., , , , , and . NeuroImage, 35 (1): 194-206 (2007)Evaluating effects of methylphenidate on brain activity in cocaine addiction: a machine-learning approach., , , and . Medical Imaging: Biomedical Applications in Molecular, Structural, and Functional Imaging, volume 9788 of SPIE Proceedings, page 97880O. SPIE, (2016)Task-Specific Functional Brain Geometry from Model Maps., , , , , , , and . MICCAI (1), volume 5241 of Lecture Notes in Computer Science, page 925-933. Springer, (2008)Exploiting Temporal Information in Functional Magnetic Resonance Imaging Brain Data., , , , , , , and . MICCAI, volume 3749 of Lecture Notes in Computer Science, page 679-687. Springer, (2005)Speech Markers for Clinical Assessment of Cocaine Users., , , , , , , and . ICASSP, page 6391-6394. IEEE, (2019)Predictive sparse modeling of fMRI data for improved classification, regression, and visualization using the k-support norm., , , , , , , , and . Comp. Med. Imag. and Graph., (2015)Structural Integrity of the Prefrontal Cortex Modulates Electrocortical Sensitivity to Reward., , , , and . J. Cognitive Neuroscience, 24 (7): 1560-1570 (2012)Modeling Neuronal Interactivity using Dynamic Bayesian Networks., , , , and . NIPS, page 1593-1600. (2005)fMRI Analysis with Sparse Weisfeiler-Lehman Graph Statistics., , , , and . MLMI, volume 8184 of Lecture Notes in Computer Science, page 90-97. Springer, (2013)