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dc.contributor.authorQing, Jixiang
dc.contributor.authorKnudde, Nicolas
dc.contributor.authorCouckuyt, Ivo
dc.contributor.authorSpina, Domenico
dc.contributor.authorDhaene, Tom
dc.date.accessioned2021-10-29T02:30:08Z
dc.date.available2021-10-29T02:30:08Z
dc.date.issued2020
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/35774
dc.sourceIIOimport
dc.titleBayesian active learning for electromagnetic structure design
dc.typeProceedings paper
dc.contributor.imecauthorQing, Jixiang
dc.contributor.imecauthorKnudde, Nicolas
dc.contributor.imecauthorCouckuyt, Ivo
dc.contributor.imecauthorSpina, Domenico
dc.contributor.imecauthorDhaene, Tom
dc.contributor.orcidimecCouckuyt, Ivo::0000-0002-9524-4205
dc.contributor.orcidimecSpina, Domenico::0000-0003-2379-5259
dc.contributor.orcidimecDhaene, Tom::0000-0003-2899-4636
dc.date.embargo9999-12-31
dc.source.peerreviewyes
dc.source.beginpage1
dc.source.endpage5
dc.source.conferenceEUCAP2020, the 14th European Conference on Antennas and Propagation
dc.source.conferencedate15/03/2020
dc.source.conferencelocationCopenhagen Denmark
imec.availabilityPublished - open access
imec.internalnotesISBN 978-88-31299-00-8


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