Evaluating the Robustness of Deep Learning for Time Series Classification
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| Format: | masterThesis |
| Published: |
2020
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| Online Access: | https://eprints.kfupm.edu.sa/id/eprint/141831/1/full.pdf |
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| _version_ | 1868869870970470401 |
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| author | unknown |
| author_facet | unknown |
| author_role | author |
| dc.creator.*.fl_str_mv | unknown |
| dc.date.*.fl_str_mv | 2020 |
| dc.format.none.fl_str_mv | application/pdf |
| dc.identifier.none.fl_str_mv | https://eprints.kfupm.edu.sa/id/eprint/141831/1/full.pdf Evaluating the Robustness of Deep Learning for Time Series Classification. Masters thesis, King Fahd University of Petroleum and Minerals. |
| dc.language.none.fl_str_mv | en |
| dc.relation.none.fl_str_mv | https://eprints.kfupm.edu.sa/id/eprint/141831/ |
| dc.rights.*.fl_str_mv | info:eu-repo/semantics/openAccess |
| dc.subject.none.fl_str_mv | Computer |
| dc.title.none.fl_str_mv | Evaluating the Robustness of Deep Learning for Time Series Classification |
| dc.type.none.fl_str_mv | Thesis NonPeerReviewed info:eu-repo/semantics/publishedVersion info:eu-repo/semantics/masterThesis |
| eu_rights_str_mv | openAccess |
| format | masterThesis |
| id | KFUPM_600de46a18675fe9c8d982f0b631f322 |
| identifier_str_mv | Evaluating the Robustness of Deep Learning for Time Series Classification. Masters thesis, King Fahd University of Petroleum and Minerals. |
| language_invalid_str_mv | en |
| network_acronym_str | KFUPM |
| network_name_str | King Fahd University of Petroleum and Minerals |
| oai_identifier_str | oai:eprints.kfupm.edu.sa:141831 |
| publishDate | 2020 |
| repository.mail.fl_str_mv | |
| repository.name.fl_str_mv | |
| repository_id_str | |
| spelling | Evaluating the Robustness of Deep Learning for Time Series ClassificationComputerThesisNonPeerReviewedinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/masterThesisapplication/pdfhttps://eprints.kfupm.edu.sa/id/eprint/141831/1/full.pdf Evaluating the Robustness of Deep Learning for Time Series Classification. Masters thesis, King Fahd University of Petroleum and Minerals. enhttps://eprints.kfupm.edu.sa/id/eprint/141831/2020info:eu-repo/semantics/openAccessunknownoai:eprints.kfupm.edu.sa:1418312026-06-21T09:17:43Z |
| spellingShingle | Evaluating the Robustness of Deep Learning for Time Series Classification unknown Computer |
| status_str | publishedVersion |
| title | Evaluating the Robustness of Deep Learning for Time Series Classification |
| title_full | Evaluating the Robustness of Deep Learning for Time Series Classification |
| title_fullStr | Evaluating the Robustness of Deep Learning for Time Series Classification |
| title_full_unstemmed | Evaluating the Robustness of Deep Learning for Time Series Classification |
| title_short | Evaluating the Robustness of Deep Learning for Time Series Classification |
| title_sort | Evaluating the Robustness of Deep Learning for Time Series Classification |
| topic | Computer |
| url | https://eprints.kfupm.edu.sa/id/eprint/141831/1/full.pdf |