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Structured Sparsity Models for Brain Decoding from fMRI Data., , and . PRNI, page 5-8. IEEE Computer Society, (2012)Evidence For Bias Of Genetic Ancestry In Resting State Functional MRI., and . ISBI, page 275-279. IEEE, (2019)Interpreting weight maps in terms of cognitive or clinical neuroscience: nonsense?, and . PRNI, page 1-4. IEEE, (2018)Unsupervised analysis of fMRI data using kernel canonical correlation., , , and . NeuroImage, 37 (4): 1250-1259 (2007)Classifying brain states and determining the discriminating activation patterns: Support Vector Machine on functional MRI data., , , , and . NeuroImage, 28 (4): 980-995 (2005)Finding the needle in high-dimensional haystack: A tutorial on canonical correlation analysis., , , , , , and . CoRR, (2018)Leveraging Clinical Data to Enhance Localization of Brain Atrophy., , , , and . MLINI@NIPS, volume 9444 of Lecture Notes in Computer Science, page 60-68. Springer, (2014)Predicting Numerical Processing in Naturalistic Settings from Controlled Experimental Conditions., , , and . PRNI, page 81-84. IEEE Computer Society, (2015)Prediction of Individual Differences from Neuroimaging Data., , , and . NeuroImage, (2017)A hierarchical Bayesian model to find brain-behaviour associations in incomplete data sets., , , , and . NeuroImage, (2022)