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Cnn-Based Approaches For Cross-Subject Classification in Motor Imagery: From the State-Of-The-Art to Dynamicnet

AuthID
P-00W-BDV

Author(s)

Zancanaro, A

Cisotto, G

Paulo, JR

Pires, G

Nunes, UJ

Tipo de Documento

Proceedings Paper

Year published

2021

Publicado

in 2021 IEEE CONFERENCE ON COMPUTATIONAL INTELLIGENCE IN BIOINFORMATICS AND COMPUTATIONAL BIOLOGY (CIBCB)

Páginas: 274-280 (7)

Conference

18Th Ieee International Conference on Computational Intelligence in Bioinformatics and Computational Biology (Ieee Cibcb), Date: OCT 13-15, 2021, Location: ELECTR NETWORK, Patrocinadores: IEEE

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Publication Identifiers

DOI: 10.1109/cibcb49929.2021.9562821

SCOPUS: 2-s2.0-85126431259

Wos: WOS:000848229700037

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Cnn-Based Approaches For Cross-Subject Classification in Motor Imagery: From the State-Of-The-Art to Dynamicnet

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Cnn-Based Approaches For Cross-Subject Classification in Motor Imagery: From the State-Of-The-Art to Dynamicnet

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