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dc.contributor.authorZhang, Huayi
dc.contributor.authorCao, Lei
dc.contributor.authorVanNostrand, Peter
dc.contributor.authorMadden, Samuel
dc.contributor.authorRundensteiner, Elke A
dc.date.accessioned2022-07-15T16:34:20Z
dc.date.available2022-07-15T16:34:20Z
dc.date.issued2021
dc.identifier.urihttps://hdl.handle.net/1721.1/143774
dc.language.isoen
dc.publisherACMen_US
dc.relation.isversionof10.1145/3447548.3467320en_US
dc.rightsCreative Commons Attribution 4.0 International licenseen_US
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_US
dc.sourceACMen_US
dc.titleELITE: Robust Deep Anomaly Detection with Meta Gradienten_US
dc.typeArticleen_US
dc.identifier.citationZhang, Huayi, Cao, Lei, VanNostrand, Peter, Madden, Samuel and Rundensteiner, Elke A. 2021. "ELITE: Robust Deep Anomaly Detection with Meta Gradient." Proceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Mining.
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
dc.relation.journalProceedings of the 27th ACM SIGKDD Conference on Knowledge Discovery & Data Miningen_US
dc.eprint.versionFinal published versionen_US
dc.type.urihttp://purl.org/eprint/type/JournalArticleen_US
eprint.statushttp://purl.org/eprint/status/PeerRevieweden_US
dc.date.updated2022-07-15T16:31:29Z
dspace.orderedauthorsZhang, H; Cao, L; VanNostrand, P; Madden, S; Rundensteiner, EAen_US
dspace.date.submission2022-07-15T16:31:39Z
mit.licensePUBLISHER_CC
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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