DC ElementWertSprache
dc.contributor.authorTran, Quynh-
dc.contributor.authorShpileuskaya, Krystsina-
dc.contributor.authorZaunseder, Elaine-
dc.contributor.authorPutzar, Larissa-
dc.contributor.authorBlankenburg, Sven-
dc.date.accessioned2024-02-20T17:18:43Z-
dc.date.available2024-02-20T17:18:43Z-
dc.date.issued2022-09-30-
dc.identifier.isbn978-1-72818-671-9en_US
dc.identifier.isbn978-1-66549-526-4en_US
dc.identifier.issn2161-4407en_US
dc.identifier.urihttp://hdl.handle.net/20.500.12738/14858-
dc.language.isoenen_US
dc.publisherIEEEen_US
dc.subjectDeep Learningen_US
dc.subjectMachine Learningen_US
dc.subjectText Classificationen_US
dc.subject.ddc004: Informatiken_US
dc.titleComparing the robustness of classical and deep learning techniques for text classificationen
dc.typeinProceedingsen_US
dc.relation.conferenceInternational Joint Conference on Neural Networks 2022en_US
dc.description.versionPeerRevieweden_US
tuhh.oai.showtrueen_US
tuhh.publication.instituteDepartment Medientechniken_US
tuhh.publication.instituteFakultät Design, Medien und Informationen_US
tuhh.publisher.doi10.1109/IJCNN55064.2022.9892242-
tuhh.relation.ispartofseries2022 International Joint Conference on Neural Networks (IJCNN) : 2022 conference proceedingsen_US
tuhh.type.opusInProceedings (Aufsatz / Paper einer Konferenz etc.)-
dc.type.casraiConference Paper-
dc.type.dinicontributionToPeriodical-
dc.type.drivercontributionToPeriodical-
dc.type.statusinfo:eu-repo/semantics/publishedVersionen_US
dcterms.DCMITypeText-
item.openairecristypehttp://purl.org/coar/resource_type/c_5794-
item.fulltextNo Fulltext-
item.grantfulltextnone-
item.openairetypeinProceedings-
item.tuhhseriesid2022 International Joint Conference on Neural Networks (IJCNN) : 2022 conference proceedings-
item.creatorGNDTran, Quynh-
item.creatorGNDShpileuskaya, Krystsina-
item.creatorGNDZaunseder, Elaine-
item.creatorGNDPutzar, Larissa-
item.creatorGNDBlankenburg, Sven-
item.languageiso639-1en-
item.creatorOrcidTran, Quynh-
item.creatorOrcidShpileuskaya, Krystsina-
item.creatorOrcidZaunseder, Elaine-
item.creatorOrcidPutzar, Larissa-
item.creatorOrcidBlankenburg, Sven-
item.cerifentitytypePublications-
item.seriesref2022 International Joint Conference on Neural Networks (IJCNN) : 2022 conference proceedings-
crisitem.author.deptDepartment Medientechnik-
crisitem.author.parentorgFakultät Design, Medien und Information-
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