Deep-HOSeq: Deep Higher Order Sequence Fusion for Multimodal Sentiment Analysis

Verma, S; Wang, J; Ge, Z; Shen, R; Jin, F; Wang, Y; Chen, F; Liu, W

Deep-HOSeq: Deep Higher Order Sequence Fusion for Multimodal Sentiment Analysis

Verma, S

Wang, J Ge, Z Shen, R Jin, F Wang, Y Chen, F Liu, W

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Publisher:: IEEE
Publication Type:: Conference Proceeding
Citation:: 20th IEEE International Conference on Data Mining, ICDM 2020, Sorrento, Italy, November 17-20, 2020, 2020, 00, pp. 561-570
Issue Date:: 2020

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Field	Value	Language
dc.contributor.author	Verma, S https://orcid.org/0000-0003-0458-5985
dc.contributor.author	Wang, J
dc.contributor.author	Ge, Z
dc.contributor.author	Shen, R
dc.contributor.author	Jin, F
dc.contributor.author	Wang, Y
dc.contributor.author	Chen, F
dc.contributor.author	Liu, W
dc.contributor.editor	Plant, C
dc.contributor.editor	Wang, H
dc.contributor.editor	Cuzzocrea, A
dc.contributor.editor	Zaniolo, C
dc.contributor.editor	Wu, X
dc.date	2020-11-17
dc.date.accessioned	2021-03-03T03:29:48Z
dc.date.available	2021-03-03T03:29:48Z
dc.date.issued	2020
dc.identifier.citation	20th IEEE International Conference on Data Mining, ICDM 2020, Sorrento, Italy, November 17-20, 2020, 2020, 00, pp. 561-570
dc.identifier.uri	http://hdl.handle.net/10453/146677
dc.language	en
dc.publisher	IEEE
dc.relation.ispartof	20th IEEE International Conference on Data Mining, ICDM 2020, Sorrento, Italy, November 17-20, 2020
dc.relation.ispartof	2020 IEEE International Conference on Data Mining (ICDM)
dc.relation.isbasedon	10.1109/ICDM50108.2020.00065
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/embargoedAccess
dc.title	Deep-HOSeq: Deep Higher Order Sequence Fusion for Multimodal Sentiment Analysis
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/Faculty of Engineering and Information Technology/A/DRsch The Data Science Institute
pubs.organisational-group	/University of Technology Sydney
utslib.copyright.status	open_access	*
utslib.copyright.embargo	2023-01-09T00:00:00+1000Z
dc.date.updated	2021-03-03T03:29:47Z
pubs.finish-date	2020-11-20
pubs.publication-status	Published
pubs.start-date	2020-11-17
pubs.volume	00

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