dc.contributor.author | de Leeuw, Arie-Willem | |
dc.contributor.author | Heijboer, Mathieu | |
dc.contributor.author | Verdonck, Tim | |
dc.contributor.author | Knobbe, Arno | |
dc.contributor.author | Latre, Steven | |
dc.date.accessioned | 2024-03-11T10:27:45Z | |
dc.date.available | 2023-01-14T03:13:23Z | |
dc.date.available | 2023-05-24T06:59:36Z | |
dc.date.available | 2024-03-11T10:27:45Z | |
dc.date.issued | 2023 | |
dc.identifier.issn | 1384-5810 | |
dc.identifier.other | WOS:000899882200003 | |
dc.identifier.uri | https://imec-publications.be/handle/20.500.12860/40976.3 | |
dc.source | WOS | |
dc.title | Exploiting sensor data in professional road cycling: personalized data-driven approach for frequent fitness monitoring | |
dc.type | Journal article | |
dc.contributor.imecauthor | de Leeuw, Arie-Willem | |
dc.contributor.imecauthor | Verdonck, Tim | |
dc.contributor.imecauthor | Latre, Steven | |
dc.contributor.orcidimec | de Leeuw, Arie-Willem::0000-0002-9857-0970 | |
dc.contributor.orcidimec | Verdonck, Tim::0000-0003-1105-2028 | |
dc.contributor.orcidimec | Latre, Steven::0000-0003-0351-1714 | |
dc.date.embargo | 9999-12-31 | |
dc.identifier.doi | 10.1007/s10618-022-00905-5 | |
dc.source.numberofpages | 29 | |
dc.source.peerreview | yes | |
dc.source.beginpage | 1125 | |
dc.source.endpage | 1153 | |
dc.source.journal | DATA MINING AND KNOWLEDGE DISCOVERY | |
dc.source.issue | 3 | |
dc.source.volume | 37 | |
imec.availability | Published - open access | |
dc.description.wosFundingText | The research leading to these results received funding from ZonMW under project WielerFitheid, winner of the National SportInnovator Prize 2020. | |