A novel explainable machine learning approach for EEG-based brain-computer interface systems-Reference-Cited by-同舟云学术

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A novel explainable machine learning approach for EEG-based brain-computer interface systems

Published:2021-03-06 Issue: Volume: Page:
ISSN:0941-0643
Container-title:Neural Computing and Applications
language:en
Short-container-title:Neural Comput & Applic

Author:

Ieracitano Cosimo^ORCID,Mammone Nadia,Hussain Amir,Morabito Francesco Carlo

Funder

European Commission, the European Social Fund and the Calabria Region

UK Engineering and Physical Sciences Research Council

Publisher

Springer Science and Business Media LLC

Subject

Artificial Intelligence,Software

Link

http://link.springer.com/content/pdf/10.1007/s00521-020-05624-w.pdf

Reference59 articles.

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2. Bi X, Zhao X, Huang H, Chen D, Ma Y (2020) Functional brain network classification for alzheimer’s disease detection with deep features and extreme learning machine. Cogn Comput 12(3):513–527

3. Brodmann K (2007) Brodmann’s: localisation in the cerebral cortex. Springer, Berlin

4. Cai Z, Shao L (2019) Rgb-d scene classification via multi-modal feature learning. Cogn Comput 11(6):825–840

5. Catani M (2017) A little man of some importance. Brain 140(11):3055–3061

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