Attentional Gated Res2Net for Multivariate Time Series Classification

Yang, C Wang, X

Yao, L Long, G Jiang, J Xu, G

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Field	Value	Language
dc.contributor.author	Yang, C
dc.contributor.author	Wang, X https://orcid.org/0000-0001-9582-3445
dc.contributor.author	Yao, L
dc.contributor.author	Long, G
dc.contributor.author	Jiang, J
dc.contributor.author	Xu, G https://orcid.org/0000-0003-4493-6663
dc.date	2022-05-22
dc.date.accessioned	2022-02-18T08:26:12Z
dc.date.available	2022-01-22
dc.date.available	2022-02-18T08:26:12Z
dc.date.issued	2022-10-13
dc.identifier.citation	2022
dc.identifier.uri	http://hdl.handle.net/10453/154688
dc.language	en
dc.relation	http://purl.org/au-research/grants/arc/DE180100251
dc.relation.ispartof	IEEE International Conference on Acoustics, Speech and Signal Processing
dc.rights	info:eu-repo/semantics/embargoedAccess
dc.title	Attentional Gated Res2Net for Multivariate Time Series Classification
dc.type	Conference Proceeding
utslib.location.activity	Singapore
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 - AAI - Advanced Analytics Institute Research Centre
pubs.organisational-group	/University of Technology Sydney/Faculty of Engineering and Information Technology/School of Computer Science
utslib.copyright.status	open_access	*
pubs.consider-herdc	false
utslib.copyright.embargo	2024-05-01T00:00:00+1000Z
dc.date.updated	2022-02-18T08:26:10Z
pubs.finish-date	2022-05-27
pubs.publication-status	Accepted
pubs.start-date	2022-05-22

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