Classification of EEG signals for brain-computer interfaces using a Bayesian-Fuzzy Extreme Learning Machine

Rubio-Solis, A., Beltran-Perez, C. and Wei, H. orcid.org/0000-0002-4704-7346 (2022) Classification of EEG signals for brain-computer interfaces using a Bayesian-Fuzzy Extreme Learning Machine. In: Jiang, R., Zhang, L., Wei, H.L., Crookes, D. and Chazot, P., (eds.) Recent Advances in AI‑enabled Automated Medical Diagnosis. AI4MED 2021 : 2021 International Symposium on Artificial Intelligence for Medical Applications, 19-23 Aug 2021, Virtual Conference (Newcastle upon Tyne, UK). Taylor & Francis , pp. 347-362. ISBN 9781032008431

Abstract

Metadata

Item Type: Proceedings Paper
Authors/Creators:
Editors:
  • Jiang, R.
  • Zhang, L.
  • Wei, H.L.
  • Crookes, D.
  • Chazot, P.
Copyright, Publisher and Additional Information:

© 2021 The Authors. This is an author-produced version of a paper subsequently published in Recent Advances in AI-enabled Automated Medical Diagnosis. Uploaded in accordance with the publisher's self-archiving policy.

Dates:
  • Published: 20 October 2022
  • Published (online): 20 October 2022
  • Accepted: 8 August 2021
Institution: The University of Sheffield
Academic Units: The University of Sheffield > Faculty of Engineering (Sheffield) > Department of Automatic Control and Systems Engineering (Sheffield)
Depositing User: Symplectic Sheffield
Date Deposited: 01 Nov 2021 08:00
Last Modified: 20 Oct 2023 00:13
Status: Published
Publisher: Taylor & Francis
Refereed: Yes
Identification Number: 10.1201/9781003176121-22
Related URLs:
Open Archives Initiative ID (OAI ID):

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