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Modelo Híbrido Inception-XGB para Discriminação de Padrões Artefatuais em Eletroencefalografia de Pacientes com Epilepsia
The aim of this study is to compare the performance of different machine learning algorithms for the task of discriminating four artifactual patterns of common occurrence in electroencephalography (EEG) recordings. These patterns were processed by an Inception Convolutional Neural Network (CNN) from
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