BCINet: An Optimized Convolutional Neural Network for EEG-Based Brain-Computer Interface Applications

Singh, AK; Tao, X

BCINet: An Optimized Convolutional Neural Network for EEG-Based Brain-Computer Interface Applications

Singh, AK Tao, X

Permalink

Publisher:: IEEE
Publication Type:: Conference Proceeding
Citation:: 2020 IEEE Symposium Series on Computational Intelligence (SSCI), 2020, 00, pp. 582-587
Issue Date:: 2020-12-01

Open Access

Copyright Clearance Process

Recently Added
In Progress
Open Access

This item is open access.

Adobe PDF

Download Accepted VersionAdobe PDF (1.63 MB)

View on publisher's site

View statistics

Full metadata record

Field	Value	Language
dc.contributor.author	Singh, AK
dc.contributor.author	Tao, X
dc.date	2020-12-01
dc.date.accessioned	2021-03-04T00:32:46Z
dc.date.available	2021-03-04T00:32:46Z
dc.date.issued	2020-12-01
dc.identifier.citation	2020 IEEE Symposium Series on Computational Intelligence (SSCI), 2020, 00, pp. 582-587
dc.identifier.uri	http://hdl.handle.net/10453/146742
dc.language	en
dc.publisher	IEEE
dc.relation	http://purl.org/au-research/grants/arc/DP180100656
dc.relation.ispartof	2020 IEEE Symposium Series on Computational Intelligence (SSCI)
dc.relation.ispartof	2020 IEEE Symposium Series on Computational Intelligence (SSCI)
dc.relation.isbasedon	10.1109/ssci47803.2020.9308292
dc.rights	© 2020 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.	en_US
dc.rights	info:eu-repo/semantics/openAccess
dc.title	BCINet: An Optimized Convolutional Neural Network for EEG-Based Brain-Computer Interface Applications
dc.type	Conference Proceeding
utslib.citation.volume	00
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
pubs.organisational-group	/University of Technology Sydney
utslib.copyright.status	open_access	*
dc.date.updated	2021-03-04T00:32:44Z
pubs.finish-date	2020-12-04
pubs.publication-status	Published
pubs.start-date	2020-12-01
pubs.volume	00

Please use this identifier to cite or link to this item:

http://hdl.handle.net/10453/146742