Research output

1. Multi-Modal Fusion of EEG and Genetic Markers for Depression Prediction from ICBrainDB

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

2. Predicting Major Depressive Disorder Using Neural Networks from Spectral Measures of EEG Data

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

3. Depression Detection Through EEG Signal Analysis: A Convolutional Autoencoder Deep Learning Model

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

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