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dc.contributor.authorSmets, Elena
dc.contributor.authorCasale, Pierluigi
dc.contributor.authorGrossekathoefer, Ulf
dc.contributor.authorLamichhane, Bishal
dc.contributor.authorDe Raedt, Walter
dc.contributor.authorBogaerts, Katleen
dc.contributor.authorVan Diest, Ilse
dc.contributor.authorVan Hoof, Chris
dc.date.accessioned2021-10-22T23:01:14Z
dc.date.available2021-10-22T23:01:14Z
dc.date.issued2015
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/25925
dc.sourceIIOimport
dc.titleComparison of machine learning techniques for psychophysiological stress detection
dc.typeProceedings paper
dc.contributor.imecauthorDe Raedt, Walter
dc.contributor.imecauthorVan Hoof, Chris
dc.contributor.orcidimecDe Raedt, Walter::0000-0002-7117-7976
dc.source.peerreviewyes
dc.source.conferenceMindcare 2015 - 5th EAI International Symposium on Pervasive Computing Paradigms for Mental Health
dc.source.conferencedate24/09/2015
dc.source.conferencelocationMilan Italy
imec.availabilityPublished - imec


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