| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | Tran, Quynh | - |
| dc.contributor.author | Shpileuskaya, Krystsina | - |
| dc.contributor.author | Zaunseder, Elaine | - |
| dc.contributor.author | Putzar, Larissa | - |
| dc.contributor.author | Blankenburg, Sven | - |
| dc.date.accessioned | 2024-02-20T17:18:43Z | - |
| dc.date.available | 2024-02-20T17:18:43Z | - |
| dc.date.issued | 2022-09-30 | - |
| dc.identifier.isbn | 978-1-72818-671-9 | en_US |
| dc.identifier.isbn | 978-1-66549-526-4 | en_US |
| dc.identifier.issn | 2161-4407 | en_US |
| dc.identifier.uri | http://hdl.handle.net/20.500.12738/14858 | - |
| dc.language.iso | en | en_US |
| dc.publisher | IEEE | en_US |
| dc.subject | Deep Learning | en_US |
| dc.subject | Machine Learning | en_US |
| dc.subject | Text Classification | en_US |
| dc.subject.ddc | 004: Informatik | en_US |
| dc.title | Comparing the robustness of classical and deep learning techniques for text classification | en |
| dc.type | inProceedings | en_US |
| dc.relation.conference | International Joint Conference on Neural Networks 2022 | en_US |
| dc.description.version | PeerReviewed | en_US |
| tuhh.oai.show | true | en_US |
| tuhh.publication.institute | Department Medientechnik | en_US |
| tuhh.publication.institute | Fakultät Design, Medien und Information | en_US |
| tuhh.publisher.doi | 10.1109/IJCNN55064.2022.9892242 | - |
| tuhh.relation.ispartofseries | 2022 International Joint Conference on Neural Networks (IJCNN) : 2022 conference proceedings | en_US |
| tuhh.type.opus | InProceedings (Aufsatz / Paper einer Konferenz etc.) | - |
| dc.type.casrai | Conference Paper | - |
| dc.type.dini | contributionToPeriodical | - |
| dc.type.driver | contributionToPeriodical | - |
| dc.type.status | info:eu-repo/semantics/publishedVersion | en_US |
| dcterms.DCMIType | Text | - |
| item.seriesref | 2022 International Joint Conference on Neural Networks (IJCNN) : 2022 conference proceedings | - |
| item.tuhhseriesid | 2022 International Joint Conference on Neural Networks (IJCNN) : 2022 conference proceedings | - |
| item.creatorGND | Tran, Quynh | - |
| item.creatorGND | Shpileuskaya, Krystsina | - |
| item.creatorGND | Zaunseder, Elaine | - |
| item.creatorGND | Putzar, Larissa | - |
| item.creatorGND | Blankenburg, Sven | - |
| item.languageiso639-1 | en | - |
| item.cerifentitytype | Publications | - |
| item.openairecristype | http://purl.org/coar/resource_type/c_5794 | - |
| item.creatorOrcid | Tran, Quynh | - |
| item.creatorOrcid | Shpileuskaya, Krystsina | - |
| item.creatorOrcid | Zaunseder, Elaine | - |
| item.creatorOrcid | Putzar, Larissa | - |
| item.creatorOrcid | Blankenburg, Sven | - |
| item.fulltext | No Fulltext | - |
| item.grantfulltext | none | - |
| item.openairetype | inProceedings | - |
| crisitem.author.dept | Department Medientechnik | - |
| crisitem.author.parentorg | Fakultät Design, Medien und Information | - |
| Appears in Collections: | Publications without full text | |
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