Incident duration prediction using a bi-level machine learning framework with outlier removal and intra-extra joint optimisation

Grigorev, A Mihaita, A-S Lee, S Chen, F

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Field	Value	Language
dc.contributor.author	Grigorev, A
dc.contributor.author	Mihaita, A-S
dc.contributor.author	Lee, S
dc.contributor.author	Chen, F
dc.date.accessioned	2024-03-06T23:19:50Z
dc.date.available	2024-03-06T23:19:50Z
dc.date.issued	2022-05-10
dc.identifier.citation	arXiv, 2022
dc.identifier.uri	http://hdl.handle.net/10453/176230
dc.language	en
dc.relation.ispartof	arXiv
dc.relation.isbasedon	10.48550/arxiv.2205.05197
dc.rights	info:eu-repo/semantics/embargoedAccess
dc.title	Incident duration prediction using a bi-level machine learning framework with outlier removal and intra-extra joint optimisation
dc.type	Preprint
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/A/DRsch The Data Science Institute
utslib.copyright.status	open_access	*
utslib.copyright.embargo	2024-05-10T00:00:00+1000Z
dc.date.updated	2024-03-06T23:19:49Z

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