Quantum Fair Machine Learning

Perrier, E

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Publisher:: ACM
Publication Type:: Conference Proceeding
Citation:: Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society, 2021, pp. 843-853
Issue Date:: 2021-07-21

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Field	Value	Language
dc.contributor.author	Perrier, E
dc.date.accessioned	2022-07-02T04:57:31Z
dc.date.available	2022-07-02T04:57:31Z
dc.date.issued	2021-07-21
dc.identifier.citation	Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society, 2021, pp. 843-853
dc.identifier.uri	http://hdl.handle.net/10453/158515
dc.language	en
dc.publisher	ACM
dc.relation.ispartof	Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society
dc.relation.ispartof	Proceedings of the 2021 AAAI/ACM Conference on AI, Ethics, and Society
dc.relation.isbasedon	10.1145/3461702.3462611
dc.rights	info:eu-repo/semantics/closedAccess
dc.title	Quantum Fair Machine Learning
dc.type	Conference Proceeding
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
utslib.copyright.status	closed_access	*
dc.date.updated	2022-07-02T04:57:30Z
pubs.publication-status	Published

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