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A generative modeling framework for statistical link analysis based on sparse data

dc.contributor.authorDe Ridder, Simon
dc.contributor.authorManfredi, Paolo
dc.contributor.authorDe Geest, Jan
dc.contributor.authorDeschrijver, Dirk
dc.contributor.authorDe Zutter, Daniel
dc.contributor.authorDhaene, Tom
dc.contributor.authorVande Ginste, Dries
dc.date.accessioned2021-10-25T17:48:19Z
dc.date.available2021-10-25T17:48:19Z
dc.date.issued2018-01
dc.identifier.issn2156-3950
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/30548
dc.sourceIIOimport
dc.titleA generative modeling framework for statistical link analysis based on sparse data
dc.typeJournal article
dc.contributor.imecauthorDe Ridder, Simon
dc.contributor.imecauthorDeschrijver, Dirk
dc.contributor.imecauthorDe Zutter, Daniel
dc.contributor.imecauthorDhaene, Tom
dc.contributor.imecauthorVande Ginste, Dries
dc.contributor.orcidimecDeschrijver, Dirk::0000-0001-6600-1792
dc.contributor.orcidimecDhaene, Tom::0000-0003-2899-4636
dc.contributor.orcidimecVande Ginste, Dries::0000-0002-0178-288X
dc.date.embargo9999-12-31
dc.source.peerreviewyes
dc.source.beginpage21
dc.source.endpage31
dc.source.journalIEEE Transactions on Components, Packaging and Manufacturing Technology
dc.source.issue1
dc.source.volume8
dc.identifier.urlhttp://ieeexplore.ieee.org/document/8107679/
imec.availabilityPublished - open access


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