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Diagnostic Prediction Using Discomfort Drawings
KTH, School of Computer Science and Communication (CSC), Computer Vision and Active Perception, CVAP. (CVAP)ORCID iD: 0000-0002-8640-9370
KTH, School of Computer Science and Communication (CSC), Robotics, perception and learning, RPL. (Datorseende och robotik, CVAP, Computer Vision and Active Perception, CVAP)ORCID iD: 0000-0002-5750-9655
(KI)
2016 (English)Conference paper, Poster (with or without abstract) (Refereed)
Place, publisher, year, edition, pages
2016.
National Category
Other Engineering and Technologies
Identifiers
URN: urn:nbn:se:kth:diva-197300OAI: oai:DiVA.org:kth-197300DiVA, id: diva2:1051370
Conference
NIPS Workshop on Machine Learning for Health
Available from: 2016-12-01 Created: 2016-12-01 Last updated: 2024-03-15Bibliographically approved

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fulltext(1673 kB)132 downloads
File information
File name FULLTEXT01.pdfFile size 1673 kBChecksum SHA-512
5f4d88b8d75177679a7777ffae797f41d43194582bca859b437850518119694dfa08bcb94b720fa33c8f6cd44ab4c14632de55efa4f0eceb44a2443c081567c4
Type fulltextMimetype application/pdf

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Zhang, ChengKjellström, Hedvig

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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
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Output format
  • html
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