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Predicting Numerical Processing in Naturalistic Settings from Controlled Experimental Conditions.

, , , и . PRNI, стр. 81-84. IEEE Computer Society, (2015)

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André Santos Dias Mourão

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Leveraging Clinical Data to Enhance Localization of Brain Atrophy., , , , и . MLINI@NIPS, том 9444 из Lecture Notes in Computer Science, стр. 60-68. Springer, (2014)Interpreting weight maps in terms of cognitive or clinical neuroscience: nonsense?, и . PRNI, стр. 1-4. IEEE, (2018)Evidence For Bias Of Genetic Ancestry In Resting State Functional MRI., и . ISBI, стр. 275-279. IEEE, (2019)Predicting Numerical Processing in Naturalistic Settings from Controlled Experimental Conditions., , , и . PRNI, стр. 81-84. IEEE Computer Society, (2015)Structured Sparsity Models for Brain Decoding from fMRI Data., , и . PRNI, стр. 5-8. IEEE Computer Society, (2012)Localizing and Comparing Weight Maps Generated from Linear Kernel Machine Learning Models., , , , , и . PRNI, стр. 124-127. IEEE, (2013)A New Feature Selection Method Based on Stability Theory - Exploring Parameters Space to Evaluate Classification Accuracy in Neuroimaging Data., , и . MLINI, том 7263 из Lecture Notes in Computer Science, стр. 51-59. Springer, (2011)Utilizing temporal information in fMRI decoding: Classifier using kernel regression methods., , , , , и . NeuroImage, 58 (2): 560-571 (2011)Multivariate Effect Ranking via Adaptive Sparse PLS., , , , и . PRNI, стр. 25-28. IEEE Computer Society, (2015)Evaluating SVM and MLDA in the extraction of discriminant regions for mental state prediction., , , , , , и . NeuroImage, 46 (1): 105-114 (2009)