Machine learning Classification of Dyslexic Children based on EEG Local Network Features

Z. Rezvani; M. Zare; G. Žarić; M. Bonte; J. Tijms; M.W. Van der Molen; G. Fraga González

doi:10.1101/569996

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Machine learning Classification of Dyslexic Children based on EEG Local Network Features

Z. Rezvani, M. Zare, G. Žarić, M. Bonte, J. Tijms, M.W. Van der Molen, G. Fraga González

doi: https://doi.org/10.1101/569996

Z. Rezvani

Institute for Cognitive and Brain Sciences, Shahid Beheshti University G.C., Tehran, Iran

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M. Zare

School of Computer Science, Institute for Research in Fundamental Sciences (IPM), Tehran, Iran

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G. Žarić

Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Netherlands

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M. Bonte

Department of Cognitive Neuroscience, Faculty of Psychology and Neuroscience, Maastricht University, Netherlands

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J. Tijms

Rudolfs Berlin Center, Amsterdam, NetherlandsIWAL Institute, Amsterdam, Netherlands

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M.W. Van der Molen

Department of Psychology, University of Amsterdam, Netherlands

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G. Fraga González

Amsterdam Brain and Cognition, University of Amsterdam, Netherlands

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Posted March 13, 2019.

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Machine learning Classification of Dyslexic Children based on EEG Local Network Features

Z. Rezvani, M. Zare, G. Žarić, M. Bonte, J. Tijms, M.W. Van der Molen, G. Fraga González

bioRxiv 569996; doi: https://doi.org/10.1101/569996

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Machine learning Classification of Dyslexic Children based on EEG Local Network Features

Z. Rezvani, M. Zare, G. Žarić, M. Bonte, J. Tijms, M.W. Van der Molen, G. Fraga González

bioRxiv 569996; doi: https://doi.org/10.1101/569996

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