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Selective attention auto-encoder for automatic sleep staging
Örebro University, School of Science and Technology. (AASS)ORCID iD: 0000-0002-0579-7181
Örebro University, School of Science and Technology. (AASS)ORCID iD: 0000-0002-3122-693X
Örebro University, School of Science and Technology. (AASS)ORCID iD: 0000-0002-0458-2146
2014 (English)Manuscript (preprint) (Other academic)
Place, publisher, year, edition, pages
2014.
National Category
Computer Sciences
Research subject
Computer Science
Identifiers
URN: urn:nbn:se:oru:diva-42935OAI: oai:DiVA.org:oru-42935DiVA, id: diva2:790655
Available from: 2015-02-25 Created: 2015-02-25 Last updated: 2018-04-05Bibliographically approved
In thesis
1. Modeling time-series with deep networks
Open this publication in new window or tab >>Modeling time-series with deep networks
2014 (English)Doctoral thesis, comprehensive summary (Other academic)
Place, publisher, year, edition, pages
Örebro: Örebro university, 2014. p. 56
Series
Örebro Studies in Technology, ISSN 1650-8580 ; 63
Keywords
multivariate time-series, deep learning, representation learning, unsupervised
National Category
Computer and Information Sciences
Research subject
Information technology
Identifiers
urn:nbn:se:oru:diva-39415 (URN)978-91-7529-054-6 (ISBN)
Public defence
2015-02-02, Hörsalen, Musikhögskolan, Örebro universitet, Fakultetsgatan 1, Örebro, 13:15 (English)
Opponent
Supervisors
Available from: 2014-12-08 Created: 2014-12-08 Last updated: 2018-04-05Bibliographically approved

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Längkvist, MartinLoutfi, AmyKarlsson, Lars

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  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
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  • Other locale
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  • asciidoc
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