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An Interactive Learning Scenario for Real-time Environmental State Estimation Based on Heterogeneous and Dynamic Sensor Systems
Malmö University, Faculty of Technology and Society (TS), Department of Computer Science and Media Technology (DVMT). Malmö University, Internet of Things and People (IOTAP).ORCID iD: 0000-0002-3155-8408
Malmö University, Internet of Things and People (IOTAP). Malmö University, Faculty of Technology and Society (TS), Department of Computer Science and Media Technology (DVMT).ORCID iD: 0000-0003-0998-6585
Malmö University, Internet of Things and People (IOTAP). Malmö University, Faculty of Technology and Society (TS), Department of Computer Science and Media Technology (DVMT).ORCID iD: 0000-0002-9471-8405
2018 (English)Conference paper, Poster (with or without abstract) (Other academic)
Place, publisher, year, edition, pages
ECML , 2018.
National Category
Engineering and Technology
Identifiers
URN: urn:nbn:se:mau:diva-16788Local ID: 27173OAI: oai:DiVA.org:mau-16788DiVA, id: diva2:1420302
Conference
European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, Dublin, Ireland (10-14/9, 2018)
Available from: 2020-03-30 Created: 2020-03-30 Last updated: 2023-09-05Bibliographically approved

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fulltext(130 kB)76 downloads
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File name FULLTEXT01.pdfFile size 130 kBChecksum SHA-512
25d5a485369924ec014f761accde1287a61cc58a5da1be18a8afbb7d9e8b6b3e667e43b8b2fb7ac0e4f9a6d4a95dd50170dc0ccda2401bb654b5730a83c25d2b
Type fulltextMimetype application/pdf

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Tegen, AgnesDavidsson, PaulPersson, Jan A.

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CiteExportLink to record
Permanent link

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Cite
Citation style
  • apa
  • ieee
  • modern-language-association-8th-edition
  • vancouver
  • Other style
More styles
Language
  • de-DE
  • en-GB
  • en-US
  • fi-FI
  • nn-NO
  • nn-NB
  • sv-SE
  • Other locale
More languages
Output format
  • html
  • text
  • asciidoc
  • rtf