kth.sePublications KTH
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
Machine Learning and Social Robotics for Detecting Early Signs of Dementia
KTH, School of Computer Science and Communication (CSC), Speech, Music and Hearing, TMH.ORCID iD: 0000-0003-3687-6189
KTH, School of Computer Science and Communication (CSC), Speech, Music and Hearing, TMH.ORCID iD: 0000-0001-5620-377X
Show others and affiliations
2017 (English)Other (Other academic)
Place, publisher, year, pages
2017.
National Category
Geriatrics
Identifiers
URN: urn:nbn:se:kth:diva-268358OAI: oai:DiVA.org:kth-268358DiVA, id: diva2:1394164
Note

QC 20200703

Available from: 2020-02-18 Created: 2020-02-18 Last updated: 2022-06-26Bibliographically approved

Open Access in DiVA

No full text in DiVA

Authority records

Jonell, PatrikMendelson, JosephLeite, IolandaKucherenko, TarasBeskow, JonasGustafson, JoakimKjellström, Hedvig

Search in DiVA

By author/editor
Jonell, PatrikMendelson, JosephLeite, IolandaKucherenko, TarasBeskow, JonasGustafson, JoakimKjellström, Hedvig
By organisation
Speech, Music and Hearing, TMHRobotics, perception and learning, RPL
Geriatrics

Search outside of DiVA

GoogleGoogle Scholar

urn-nbn

Altmetric score

urn-nbn
Total: 269 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