Stable Sparse Classifiers Identify qEEG Signatures that Predict Learning Disabilities (NOS) Severity-Reference-Cited by-同舟云学术

Stable Sparse Classifiers Identify qEEG Signatures that Predict Learning Disabilities (NOS) Severity

Published:2018-01-15 Issue: Volume:11 Page:
ISSN:1662-453X
Container-title:Frontiers in Neuroscience
language:
Short-container-title:Front. Neurosci.

Author:

Bosch-Bayard Jorge,Galán-García Lídice,Fernandez Thalia,Lirio Rolando B.,Bringas-Vega Maria L.,Roca-Stappung Milene,Ricardo-Garcell Josefina,Harmony Thalía,Valdes-Sosa Pedro A.

Funder

Dirección General de Asuntos del Personal Académico, Universidad Nacional Autónoma de México

Consejo Nacional de Ciencia y Tecnología

Publisher

Frontiers Media SA

Subject

General Neuroscience

Reference81 articles.

1. Reducing multiclass to binary: a unifying approach for margin classifiers;Allwein;J. Mach. Learn. Res,2000

2. Neuropsychological assessment of learning-disorder children with paroxysmal EEG activity;Alvarez;New Issues Neurosci,1992

3. Single subject prediction of brain disorders in neuroimaging: promises and pitfalls;Arbabshirani;Neuroimage,2017

4. Electroencephalographic characteristics of children with learning disabilities;Becker;Clin. Electroencephalogr.,1987

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