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Human-Technology relations in a machinelearning based commuter app
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: 0000-0001-5676-1931
2018 (English)In: Workshop on Interactive Adaptive Learning (IAL@ECML PKDD), 2018, p. 73-76Conference paper, Oral presentation with published abstract (Refereed)
Place, publisher, year, edition, pages
2018. p. 73-76
Keywords [en]
Interactive Machine Learning, postphenomenology, Machine Leraning
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:mau:diva-17109OAI: oai:DiVA.org:mau-17109DiVA, id: diva2:1426156
Conference
The European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD) Dublin, Ireland, September 10th, 2018.
Available from: 2020-04-23 Created: 2020-04-23 Last updated: 2020-06-02Bibliographically approved

Open Access in DiVA

fulltext(116 kB)94 downloads
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File name FULLTEXT01.pdfFile size 116 kBChecksum SHA-512
3f467a30fd2f04e18a5d67843c4c1c84e0bb1d93e4bf1b6524bb9499c29f5d2c88031b3e1297df618e9ef55fdedad05550c5ea2a9914498355e81f0217a4a80f
Type fulltextMimetype application/pdf

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http://ceur-ws.org/Vol-2192/ialatecml_paper5.pdf

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Holmberg, Lars

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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