MHieR-encoder: Modelling the high-frequency changes across stocks

Fu, Z Xu, W Hu, R Long, G

Jiang, J

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Field	Value	Language
dc.contributor.author	Fu, Z
dc.contributor.author	Xu, W
dc.contributor.author	Hu, R
dc.contributor.author	Long, G https://orcid.org/0000-0003-3740-9515
dc.contributor.author	Jiang, J
dc.date.accessioned	2021-05-11T00:41:03Z
dc.date.available	2021-05-11T00:41:03Z
dc.date.issued	2021-04
dc.identifier.citation	Knowledge-Based Systems, 2021, pp. 107092-107092
dc.identifier.issn	0950-7051
dc.identifier.uri	http://hdl.handle.net/10453/148822
dc.language	en
dc.publisher	Elsevier BV
dc.relation.ispartof	Knowledge-Based Systems
dc.relation.isbasedon	10.1016/j.knosys.2021.107092
dc.rights	info:eu-repo/semantics/closedAccess
dc.subject	08 Information and Computing Sciences, 15 Commerce, Management, Tourism and Services, 17 Psychology and Cognitive Sciences
dc.subject.classification	Artificial Intelligence & Image Processing
dc.title	MHieR-encoder: Modelling the high-frequency changes across stocks
dc.type	Journal Article
utslib.for	08 Information and Computing Sciences
utslib.for	15 Commerce, Management, Tourism and Services
utslib.for	17 Psychology and Cognitive Sciences
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
utslib.copyright.status	closed_access	*
dc.date.updated	2021-05-11T00:41:02Z
pubs.publication-status	Published

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