From time series to multi-modality: Classifying multivariate time series via both 1d and 2d representations

Yang, C; Wang, X; Yao, L; Long, G; Xu, G

From time series to multi-modality: Classifying multivariate time series via both 1d and 2d representations

Yang, C Wang, X

Yao, L Long, G Xu, G

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Publisher:: Springer
Publication Type:: Conference Proceeding
Citation:: 2023
Issue Date:: 2023-12-27

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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	Xu, G
dc.date	2023-08-21
dc.date.accessioned	2023-08-26T04:27:47Z
dc.date.available	2023-06-15
dc.date.available	2023-08-26T04:27:47Z
dc.date.issued	2023-12-27
dc.identifier.citation	2023
dc.identifier.uri	http://hdl.handle.net/10453/171826
dc.language	en
dc.publisher	Springer
dc.relation	http://purl.org/au-research/grants/arc/LE220100078
dc.relation	http://purl.org/au-research/grants/arc/DP220103717
dc.relation	http://purl.org/au-research/grants/arc/LP180100654
dc.relation	http://purl.org/au-research/grants/arc/DE180100251
dc.relation.ispartof	International Conference on Advanced Data Mining and Applications
dc.rights	info:eu-repo/semantics/openAccess
dc.title	From time series to multi-modality: Classifying multivariate time series via both 1d and 2d representations
dc.type	Conference Proceeding
utslib.location.activity	Shenyang, China
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/Faculty of Engineering and Information Technology/School of Computer Science
pubs.organisational-group	/University of Technology Sydney/Strength - CCSP - Centre for Cyber Security and Privacy
utslib.copyright.status	open_access	*
pubs.consider-herdc	true
dc.date.updated	2023-08-26T04:27:45Z
pubs.finish-date	2023-08-23
pubs.publication-status	Accepted
pubs.start-date	2023-08-21

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http://hdl.handle.net/10453/171826