DOI zum Zitieren der Version auf EPub Bayreuth: https://doi.org/10.15495/EPub_UBT_00007618
URN to cite this document: urn:nbn:de:bvb:703-epub-7618-9
URN to cite this document: urn:nbn:de:bvb:703-epub-7618-9
Title data
Penava, Pascal ; Büttner, Ricardo:
A Novel Small-Data Based Approach for Decoding Yes/No-Decisions of Locked-In Patients Using Generative Adversarial Networks.
In: IEEE Access.
Vol. 11
(2023)
.
- pp. 118849-118864.
ISSN 2169-3536
DOI der Verlagsversion: https://doi.org/10.1109/ACCESS.2023.3326720
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Project information
Project title: |
Project's official title Project's id Open Access Publizieren No information |
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Project financing: |
Deutsche Forschungsgemeinschaft |