dc.contributor.author | Balemans, Dieter | |
dc.contributor.author | Reiter, Phil | |
dc.contributor.author | Steckel, Jan | |
dc.contributor.author | Hellinckx, Peter | |
dc.date.accessioned | 2022-12-09T10:46:38Z | |
dc.date.available | 2022-09-11T02:49:55Z | |
dc.date.available | 2022-10-04T14:12:23Z | |
dc.date.available | 2022-12-09T10:46:38Z | |
dc.date.issued | 2022 | |
dc.identifier.issn | 2543-1536 | |
dc.identifier.other | WOS:000848901600003 | |
dc.identifier.uri | https://imec-publications.be/handle/20.500.12860/40418.3 | |
dc.source | WOS | |
dc.title | Resource efficient AI: Exploring neural network pruning for task specialization | |
dc.type | Journal article | |
dc.contributor.imecauthor | Balemans, Dieter | |
dc.contributor.imecauthor | Reiter, Phil | |
dc.contributor.imecauthor | Hellinckx, Peter | |
dc.contributor.orcidext | Steckel, Jan::0000-0003-4489-466X | |
dc.contributor.orcidimec | Balemans, Dieter::0000-0001-7812-0211 | |
dc.contributor.orcidimec | Hellinckx, Peter::0000-0001-8029-4720 | |
dc.contributor.orcidimec | Reiter, Phil::0000-0002-2548-7172 | |
dc.identifier.doi | 10.1016/j.iot.2022.100599 | |
dc.source.numberofpages | 11 | |
dc.source.peerreview | yes | |
dc.subject.discipline | Computer science/information technology | |
dc.source.beginpage | 100599 | |
dc.source.endpage | na | |
dc.source.journal | INTERNET OF THINGS | |
dc.source.issue | na | |
dc.source.volume | 20 | |
imec.availability | Published - open access | |
dc.description.wosFundingText | This research received funding from the Flemish Government (AI Research Program) and was supported by the Research Foundation Flanders (FWO) under Grant Number 1SA8122N. | |