Examining the Size of the Latent Space of Convolutional Variational Autoencoders Trained With Spectral Topographic Maps of EEG Frequency Bands

Author:

Ahmed Taufique1ORCID,Longo Luca1ORCID

Affiliation:

1. Artificial Intelligence and Cognitive Load Research Laboratory, School of Computer Science, Technological University Dublin, Dublin 7, Ireland

Funder

Technological University Dublin, Ireland

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

General Engineering,General Materials Science,General Computer Science,Electrical and Electronic Engineering

Reference44 articles.

1. A review on evaluation metrics for data classification evaluations;hossin;International Journal of Data Mining & Knowledge Management Process,2015

2. Auto-encoding variational Bayes;kingma;Proc ICLR,2014

3. Semi-Supervised EEG Signals Classification System for Epileptic Seizure Detection

4. An Efficient Deep Learning System for Epileptic Seizure Prediction

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