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Bi-Dimensional Approach Based on Graph Neural Network for Alcoholism Predisposition Detection via EEG signals

  • Published:2023-06-18 Issue: Volume: Page:
  • ISSN:
  • Container-title:2023 International Joint Conference on Neural Networks (IJCNN)
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Author:

Medeiros Aldísio Gonçalves1,Silva Francisco H. S.2,De Oliveira Santos Lucas3,Rebouças Filho Pedro Pedrosa1

Affiliation:

1. Universidade Federal do Ceará,Programa de Pós-Graduação em Engenharia de Teleinformática (PPGETI),Ceará,Brazil

2. Universidade Federal do Ceará,Programa de Pós-Graduação em Engenharia Elétrica (PPGEE),Ceará,Brazil

3. Instituto Federal do Ceará,Laboratório de Processamento de Imagens, Sinais e Computação Aplicada (LAPISCO),Fortaleza,Ceará,Brazil

Publisher

IEEE

Reference41 articles.

1. The graph neural network model;scarselli;IEEE Transactions on Neural Networks,2008

2. Semi-supervised classification with graph convolutional networks;kipf;CoRR vol abs/1609 02907,2016

3. An integrated alcoholic index using tunable-Q wavelet transform based features extracted from EEG signals for diagnosis of alcoholism

4. Continuously differentiable exponential linear units;barron;CoRR vol abs/1704 07483,2017

5. Textural Features for Image Classification

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