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Interpretable ECG beat embedding using disentangled variational auto-encoders

dc.contributor.authorVan Steenkiste, Tom
dc.contributor.authorDeschrijver, Dirk
dc.contributor.authorDhaene, Tom
dc.date.accessioned2021-10-27T21:23:42Z
dc.date.available2021-10-27T21:23:42Z
dc.date.issued2019
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/34272
dc.sourceIIOimport
dc.titleInterpretable ECG beat embedding using disentangled variational auto-encoders
dc.typeProceedings paper
dc.contributor.imecauthorVan Steenkiste, Tom
dc.contributor.imecauthorDeschrijver, Dirk
dc.contributor.imecauthorDhaene, Tom
dc.contributor.orcidimecDeschrijver, Dirk::0000-0001-6600-1792
dc.contributor.orcidimecDhaene, Tom::0000-0003-2899-4636
dc.date.embargo9999-12-31
dc.source.peerreviewyes
dc.source.beginpage373
dc.source.endpage378
dc.source.conference2019 IEEE 32nd International Symposium on Computer-Based Medical Systems - CMBS
dc.source.conferencedate5/06/2019
dc.source.conferencelocationCordoba Spain
dc.identifier.urlhttps://ieeexplore.ieee.org/document/8787396
imec.availabilityPublished - open access
imec.internalnotesSpecial Track on Artificial Intelligence for Healthcare: from black box to explainable models


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