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dc.contributor.authorLeroux, Sam
dc.contributor.authorBohez, Steven
dc.contributor.authorDe Coninck, Elias
dc.contributor.authorVan Molle, Pieter
dc.contributor.authorVankeirsbilck, Bert
dc.contributor.authorVerbelen, Tim
dc.contributor.authorSimoens, Pieter
dc.contributor.authorDhoedt, Bart
dc.date.accessioned2021-10-27T12:24:15Z
dc.date.available2021-10-27T12:24:15Z
dc.date.issued2019
dc.identifier.issn0167-739X
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/33410
dc.sourceIIOimport
dc.titleMulti-fidelity deep neural networks for adaptive inference in the internet of multimedia things
dc.typeJournal article
dc.contributor.imecauthorLeroux, Sam
dc.contributor.imecauthorDe Coninck, Elias
dc.contributor.imecauthorVan Molle, Pieter
dc.contributor.imecauthorVankeirsbilck, Bert
dc.contributor.imecauthorVerbelen, Tim
dc.contributor.imecauthorSimoens, Pieter
dc.contributor.imecauthorDhoedt, Bart
dc.contributor.orcidimecLeroux, Sam::0000-0003-3792-5026
dc.contributor.orcidimecVankeirsbilck, Bert::0000-0001-9489-8306
dc.contributor.orcidimecVerbelen, Tim::0000-0003-2731-7262
dc.contributor.orcidimecSimoens, Pieter::0000-0002-9569-9373
dc.contributor.orcidimecDhoedt, Bart::0000-0002-7271-7479
dc.date.embargo9999-12-31
dc.source.peerreviewyes
dc.source.beginpage355
dc.source.endpage360
dc.source.journalFuture Generation Computer Systems
dc.source.volume97
dc.identifier.urlhttps://doi.org/10.1016/j.future.2019.03.001
imec.availabilityPublished - open access


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