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A machine learning approach for in-race cycling performance prediction

dc.contributor.authorKholkine, Leonid
dc.contributor.authorDe Schepper, Tom
dc.contributor.authorVerdonck, Tim
dc.contributor.authorLatre, Steven
dc.date.accessioned2021-10-28T23:18:20Z
dc.date.available2021-10-28T23:18:20Z
dc.date.issued2020
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/35385
dc.sourceIIOimport
dc.titleA machine learning approach for in-race cycling performance prediction
dc.typeJournal article
dc.contributor.imecauthorKholkine, Leonid
dc.contributor.imecauthorDe Schepper, Tom
dc.contributor.imecauthorLatre, Steven
dc.contributor.orcidimecKholkine, Leonid::0000-0002-9220-5884
dc.contributor.orcidimecDe Schepper, Tom::0000-0002-2969-3133
dc.date.embargo9999-12-31
dc.source.peerreviewyes
dc.source.beginpage29
dc.source.endpage30
dc.source.journalJournal of Science & Cycling
dc.identifier.urlhttps://www.jsc-journal.com/index.php/JSC/article/view/575
imec.availabilityPublished - open access
imec.internalnotesSpecial issue of the 2020 Science & Cycling Conference, Nice June 2020


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