Publication:

Do not sleep on traditional machine learning Simple and interpretable techniques are competitive to deep learning for sleep scoring

Date

2023
Journal article
https://doi.org/10.1016/j.bspc.2022.104429
Simple item page Full metadata Statistics
 
dc.contributor.authorVan Der Donckt, Jeroen
dc.contributor.authorVan Der Donckt, Jonas
dc.contributor.authorDeprost, Emiel
dc.contributor.authorVandenbussche, Nicolas
dc.contributor.authorRademaker, Michael
dc.contributor.authorVandewiele, Gilles
dc.contributor.authorVan Hoecke, Sofie
dc.contributor.imecauthorVan Der Donckt, Jeroen
dc.contributor.imecauthorVan Der Donckt, Jonas
dc.contributor.imecauthorDeprost, Emiel
dc.contributor.imecauthorRademaker, Michael
dc.contributor.imecauthorVandewiele, Gilles
dc.contributor.imecauthorVan Hoecke, Sofie
dc.contributor.orcidimecVan Der Donckt, Jonas::0000-0003-1440-7410
dc.contributor.orcidimecDeprost, Emiel::0000-0001-5323-5506
dc.contributor.orcidimecRademaker, Michael::0000-0001-7124-692X
dc.contributor.orcidimecVandewiele, Gilles::0000-0001-9531-0623
dc.contributor.orcidimecVan Hoecke, Sofie::0000-0002-7865-6793
dc.date.accessioned2023-01-12T13:02:59Z
dc.date.available2023-01-12T03:13:12Z
dc.date.available2023-01-12T13:02:59Z
dc.date.embargo9999-12-31
dc.date.issued2023
dc.identifier.doi10.1016/j.bspc.2022.104429
dc.identifier.issn1746-8094
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/40962
dc.publisherELSEVIER SCI LTD
dc.source.beginpage104429
dc.source.endpagena
dc.source.issuena
dc.source.journalBIOMEDICAL SIGNAL PROCESSING AND CONTROL
dc.source.numberofpages9
dc.source.volume81
dc.subject.keywordsSTAGE CLASSIFICATION
dc.subject.keywordsNEURAL-NETWORK
dc.subject.keywordsSYSTEM
dc.subject.keywordsHEALTH
dc.title

Do not sleep on traditional machine learning Simple and interpretable techniques are competitive to deep learning for sleep scoring

dc.typeJournal article
dspace.entity.typePublication
Files

Original bundle

Name:
DS593.pdf
Size:
1.2 MB
Format:
Adobe Portable Document Format
Description:
Published version
Download
Publication available in collections:
Articles