Bi-Dimensional Approach Based on Transfer Learning for Alcoholism Pre-disposition Classification via EEG Signals-Reference-Cited by-同舟云学术

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Bi-Dimensional Approach Based on Transfer Learning for Alcoholism Pre-disposition Classification via EEG Signals

Published:2020-09-18 Issue: Volume:14 Page:
ISSN:1662-5161
Container-title:Frontiers in Human Neuroscience
language:
Short-container-title:Front. Hum. Neurosci.

Author:

Zhang Hongyi,Silva Francisco H. S.,Ohata Elene F.,Medeiros Aldisio G.,Rebouças Filho Pedro P.

Publisher

Frontiers Media SA

Subject

Behavioral Neuroscience,Biological Psychiatry,Psychiatry and Mental health,Neurology,Neuropsychology and Physiological Psychology

Reference57 articles.

1. Automated diagnosis of normal and alcoholic EEG signals;Acharya;Int. J. Neural Syst,2012

2. A novel methodology for automated differential diagnosis of mild cognitive impairment and the alzheimer's disease using EEG signals;Amezquita-Sanchez;J. Neurosci. Methods,2019

3. BegleiterH. EEG Database2019

4. A novel approach for automated detection of focal EEG signals using empirical wavelet transform;Bhattacharyya;Neural Comput. Appl,2018

5. EEG analytics for early detection of autism spectrum disorder: a data-driven approach;Bosl;Sci. Rep,2018

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3. EEG-based classification of individuals with neuropsychiatric disorders using deep neural networks: A systematic review of current status and future directions;Computer Methods and Programs in Biomedicine;2023-10

4. Sampling inequalities affect generalization of neuroimaging-based diagnostic classifiers in psychiatry;BMC Medicine;2023-07-03

5. Bi-Dimensional Approach Based on Graph Neural Network for Alcoholism Predisposition Detection via EEG signals;2023 International Joint Conference on Neural Networks (IJCNN);2023-06-18

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