EEG2Vec: Learning Affective EEG Representations via Variational Autoencoders-Reference-Cited by-同舟云学术

EEG2Vec: Learning Affective EEG Representations via Variational Autoencoders

Published:2022-10-09 Issue: Volume: Page:
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Container-title:2022 IEEE International Conference on Systems, Man, and Cybernetics (SMC)
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Author:

Bethge David¹,Hallgarten Philipp¹,Grosse-Puppendahl Tobias¹,Kari Mohamed¹,Chuang Lewis L.²,Ozdenizci Ozan³,Schmidt Albrecht⁴

Affiliation:

1. Dr. Ing. h.c. F. Porsche AG,Stuttgart,Germany

2. Chemnitz University of Technology,Chemnitz,Germany

3. Institute of Theoretical Computer Science,TU Graz,Austria

4. Ludwig Maximilian University,Munich,Germany

Funder

Deutsche Forschungsgemeinschaft

Publisher

IEEE

Link

Reference60 articles.

4. EEG-GAN: Generative adversarial networks for electroencephalograhic (EEG) brain signals;hartmann;arXiv preprint arXiv 1806 01875,2018

5. Generative adversarial nets;goodfellow;Advances in neural information processing systems,2014

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