most citedFeatures and Machine Learning for Correlating and Classifying between Brain Areas and Dyslexia

37 citations · 68 across the 3 of their papers we have counts for

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cs.LG2019

Classifying the Valence of Autobiographical Memories from fMRI Data

Alex Frid, Larry M. Manevitz, Norberto Eiji Nawa

We show that fMRI analysis using machine learning tools are sufficient to distinguish valence (i.e., positive or negative) of freely retrieved autobiographical memories in a cross-…

cs.LG2019★ 37 cited

Features and Machine Learning for Correlating and Classifying between Brain Areas and Dyslexia

Alex Frid, Larry M. Manevitz

We develop a method that is based on processing gathered Event Related Potentials (ERP) signals and the use of machine learning technique for multivariate analysis (i.e. classifica…