Publication:

Athlete Monitoring in Professional Road Cycling Using Similarity Search on Time Series Data

Date

2023
Proceedings Paper
https://doi.org/10.1007/978-3-031-27527-2_9
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dc.contributor.authorde Leeuw, Arie-Willem
dc.contributor.authorOberkofler, Tobias
dc.contributor.authorHeijboer, Mathieu
dc.contributor.authorKnobbe, Arno
dc.contributor.imecauthorde Leeuw, Arie-Willem
dc.contributor.orcidimecde Leeuw, Arie-Willem::0000-0002-9857-0970
dc.date.accessioned2024-09-23T06:51:07Z
dc.date.available2024-09-21T17:57:49Z
dc.date.available2024-09-23T06:51:07Z
dc.date.issued2023
dc.description.wosFundingTextThis work is part of the Nationale SportInnovatorprijs 2020 WielerFitheid, which is financed by ZonMW.
dc.identifier.doi10.1007/978-3-031-27527-2_9
dc.identifier.eisbn978-3-031-27527-2
dc.identifier.isbn978-3-031-27526-5
dc.identifier.issn1865-0929
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/44560
dc.publisherSPRINGER INTERNATIONAL PUBLISHING AG
dc.source.beginpage115
dc.source.conference9th International Workshop on Machine Learning and Data Mining for Sports Analytics (MLSA)
dc.source.conferencedateSEP 19-19, 2022
dc.source.conferencelocationGrenoble
dc.source.endpage126
dc.source.journalCommunications in Computer and Information Science (CCIS)
dc.source.numberofpages12
dc.source.volume1783
dc.title

Athlete Monitoring in Professional Road Cycling Using Similarity Search on Time Series Data

dc.typeProceedings paper
dspace.entity.typePublication
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