System disruptions
We are currently experiencing disruptions on the search portals due to high traffic. We are working to resolve the issue, you may temporarily encounter an error message.
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
Learning Time Series Counterfactuals via Latent Space Representations
Stockholm University, Sweden.
Stockholm University, Sweden.
RISE Research Institutes of Sweden, Digital Systems, Industrial Systems.ORCID iD: 0000-0003-0995-9835
Stockholm University, Sweden.
2021 (English)In: Soares C., Torgo L. (eds) Discovery Science. DS 2021. Lecture Notes in Computer Science, vol 12986. Springer, Cham. https://doi.org/10.1007/978-3-030-88942-5_29, 2021, p. 369-384Conference paper, Published paper (Refereed)
Place, publisher, year, edition, pages
2021. p. 369-384
National Category
Computer Sciences
Identifiers
URN: urn:nbn:se:ri:diva-58799DOI: 10.1007/978-3-030-88942-5_29OAI: oai:DiVA.org:ri-58799DiVA, id: diva2:1643491
Conference
Discovery Science
Available from: 2022-03-09 Created: 2022-03-09 Last updated: 2023-06-07Bibliographically approved

Open Access in DiVA

No full text in DiVA

Other links

Publisher's full text

Authority records

Mochaourab, Rami

Search in DiVA

By author/editor
Mochaourab, Rami
By organisation
Industrial Systems
Computer Sciences

Search outside of DiVA

GoogleGoogle Scholar

doi
urn-nbn

Altmetric score

doi
urn-nbn
Total: 136 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