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Article: On improving the performance of glitch classification for gravitational wave detection by using Generative Adversarial Networks

TitleOn improving the performance of glitch classification for gravitational wave detection by using Generative Adversarial Networks
Authors
Yan, JQLeung, PAHui, CY
Issue Date2022
PublisherOxford University Press. The Journal's web site is located at http://www.oxfordjournals.org/our_journals/mnras/
Citation
Monthly Notices of the Royal Astronomical Society, 2022, v. 515 n. 3, p. 4606-4621 How to Cite?
DOI: http://dx.doi.org/10.1093/mnras/stac1996
Persistent Identifierhttp://hdl.handle.net/10722/316343
ISI Accession Number ID
WOS:000841540900011

 

DC FieldValueLanguage
dc.contributor.authorYan, JQ-
dc.contributor.authorLeung, PA-
dc.contributor.authorHui, CY-
dc.date.accessioned2022-09-02T06:09:49Z-
dc.date.available2022-09-02T06:09:49Z-
dc.date.issued2022-
dc.identifier.citationMonthly Notices of the Royal Astronomical Society, 2022, v. 515 n. 3, p. 4606-4621-
dc.identifier.urihttp://hdl.handle.net/10722/316343-
dc.languageeng-
dc.publisherOxford University Press. The Journal's web site is located at http://www.oxfordjournals.org/our_journals/mnras/-
dc.relation.ispartofMonthly Notices of the Royal Astronomical Society-
dc.rightsPost-print: This is a pre-copy-editing, author-produced PDF of an article accepted for publication in [insert journal title] following peer review. The definitive publisher-authenticated version [insert complete citation information here] is available online at: xxxxxxx [insert URL that the author will receive upon publication here]. -
dc.titleOn improving the performance of glitch classification for gravitational wave detection by using Generative Adversarial Networks-
dc.typeArticle-
dc.identifier.emailLeung, PA: alexpl@hku.hk-
dc.identifier.doi10.1093/mnras/stac1996-
dc.identifier.hkuros336297-
dc.identifier.volume515-
dc.identifier.issue3-
dc.identifier.spage4606-
dc.identifier.epage4621-
dc.identifier.isiWOS:000841540900011-

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