Improving Transportation Mode Identification with Limited GPS Trajectories

Zhu, Y Markos, C Yu, JJQ

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Publisher:: IEEE
Publication Type:: Conference Proceeding
Citation:: 2021 IEEE 33rd International Conference on Tools with Artificial Intelligence (ICTAI), 2021, 00, pp. 655-660
Issue Date:: 2021-11-03

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Full metadata record

Field	Value	Language
dc.contributor.author	Zhu, Y
dc.contributor.author	Markos, C
dc.contributor.author	Yu, JJQ
dc.date	2021-11-01
dc.date.accessioned	2022-07-04T22:35:13Z
dc.date.available	2022-07-04T22:35:13Z
dc.date.issued	2021-11-03
dc.identifier.citation	2021 IEEE 33rd International Conference on Tools with Artificial Intelligence (ICTAI), 2021, 00, pp. 655-660
dc.identifier.uri	http://hdl.handle.net/10453/158628
dc.language	en
dc.publisher	IEEE
dc.relation.ispartof	2021 IEEE 33rd International Conference on Tools with Artificial Intelligence (ICTAI)
dc.relation.ispartof	2021 IEEE 33rd International Conference on Tools with Artificial Intelligence (ICTAI)
dc.relation.isbasedon	10.1109/ictai52525.2021.00104
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Improving Transportation Mode Identification with Limited GPS Trajectories
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/Faculty of Engineering and Information Technology/School of Electrical and Data Engineering
utslib.copyright.status	closed_access	*
dc.date.updated	2022-07-04T22:35:12Z
pubs.finish-date	2021-11-03
pubs.publication-status	Published
pubs.start-date	2021-11-01
pubs.volume	00

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