Malmö University Publications
Change search
CiteExportLink to record
Permanent link

Direct link
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
Human in Command Machine Learning – Poster version
Malmö University, Faculty of Technology and Society (TS), Department of Computer Science and Media Technology (DVMT).ORCID iD: 0000-0001-5676-1931
2020 (English)Conference paper, Oral presentation with published abstract (Refereed)
Place, publisher, year, edition, pages
2020.
National Category
Computer Systems
Identifiers
URN: urn:nbn:se:mau:diva-17113OAI: oai:DiVA.org:mau-17113DiVA, id: diva2:1426167
Conference
AAAI/ACM Conference on AI, Ethics, and Society. ebruary 7-8, 2020 in New York City, New York, USA
Available from: 2020-04-23 Created: 2020-04-23 Last updated: 2021-05-24Bibliographically approved

Open Access in DiVA

fulltext(226 kB)180 downloads
File information
File name FULLTEXT01.pdfFile size 226 kBChecksum SHA-512
b10b4405e1ea21eafc241e40028c69fe16e4969f75e8bb6ad8281ca65954dbfed959e70d318b5ea450978ca8fcbc58204e8d6c12dd6d81d708ce5b646410eb60
Type fulltextMimetype application/pdf

Authority records

Holmberg, Lars

Search in DiVA

By author/editor
Holmberg, Lars
By organisation
Department of Computer Science and Media Technology (DVMT)
Computer Systems

Search outside of DiVA

GoogleGoogle Scholar
Total: 180 downloads
The number of downloads is the sum of all downloads of full texts. It may include eg previous versions that are now no longer available

urn-nbn

Altmetric score

urn-nbn
Total: 97 hits
CiteExportLink to record
Permanent link

Direct link
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