A Multi-class Graph Convolutional Neural Network for EEG Classification and Representation

Almohammadi, A; Wang, Y-K

A Multi-class Graph Convolutional Neural Network for EEG Classification and Representation

Almohammadi, A Wang, Y-K

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Publisher:: Institute of Electrical and Electronics Engineers (IEEE)
Publication Type:: Conference Proceeding
Citation:: 2023 22nd International Symposium on Communications and Information Technologies (ISCIT), 2023, 00, pp. 267-272
Issue Date:: 2023-10-18

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Full metadata record

Field	Value	Language
dc.contributor.author	Almohammadi, A
dc.contributor.author	Wang, Y-K
dc.date	2023-10-16
dc.date.accessioned	2024-02-01T00:23:15Z
dc.date.available	2024-02-01T00:23:15Z
dc.date.issued	2023-10-18
dc.identifier.citation	2023 22nd International Symposium on Communications and Information Technologies (ISCIT), 2023, 00, pp. 267-272
dc.identifier.uri	http://hdl.handle.net/10453/175168
dc.language	en
dc.publisher	Institute of Electrical and Electronics Engineers (IEEE)
dc.relation.ispartof	2023 22nd International Symposium on Communications and Information Technologies (ISCIT)
dc.relation.ispartof	2023 22nd International Symposium on Communications and Information Technologies (ISCIT)
dc.relation.isbasedon	10.1109/iscit57293.2023.10376113
dc.rights	info:eu-repo/semantics/embargoedAccess
dc.title	A Multi-class Graph Convolutional Neural Network for EEG Classification and Representation
dc.type	Conference Proceeding
utslib.citation.volume	00
pubs.organisational-group	University of Technology Sydney
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology
pubs.organisational-group	University of Technology Sydney/Strength - AAII - Australian Artificial Intelligence Institute
pubs.organisational-group	University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
utslib.copyright.status	embargoed	*
utslib.copyright.embargo	2026-01-03T00:00:00+1000Z
dc.date.updated	2024-02-01T00:23:14Z
pubs.finish-date	2023-10-18
pubs.publication-status	Published
pubs.start-date	2023-10-16
pubs.volume	00

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http://hdl.handle.net/10453/175168