Research output

1. Using PCA Machine Learning Approach Based on Psychological Questionnaires and Spectral Characteristics of the EEG to Separate the Healthy Participants and Participants with Major Depressive Disorder

   Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

2. Verification Method of Hypothesis Based on Different EEG Data Statistical Processing

   Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

3. Interchannel nonlinearity compensation using a perturbative machine learning technique

   Research output: Contribution to journal › Article › peer-review

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