Publication:

Exploiting Censored Information in Self-Training for Time-to-Event Prediction

Date

2023
Journal article
https://doi.org/10.1109/ACCESS.2023.3312310
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dc.contributor.authorHaredasht, Fateme Nateghi
dc.contributor.authorDauda, Kazeem
dc.contributor.authorVens, Celine
dc.contributor.imecauthorDauda, Kazeem
dc.contributor.imecauthorVens, Celine
dc.contributor.orcidimecVens, Celine::0000-0003-0983-256X
dc.date.accessioned2024-04-10T09:54:27Z
dc.date.available2023-11-19T17:35:03Z
dc.date.available2024-04-10T09:54:27Z
dc.date.embargo2023-12-31
dc.date.issued2023
dc.description.wosFundingTextThis work was supported by KU Leuven Internal Funds under Grant 3M180314.
dc.identifier.doi10.1109/ACCESS.2023.3312310
dc.identifier.issn2169-3536
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/43168
dc.publisherIEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
dc.source.beginpage96831
dc.source.endpage96840
dc.source.issueN/A
dc.source.journalIEEE ACCESS
dc.source.numberofpages10
dc.source.volume11
dc.subject.keywordsVARIABLE SELECTION
dc.subject.keywordsSURVIVAL
dc.subject.keywordsREGRESSION
dc.title

Exploiting Censored Information in Self-Training for Time-to-Event Prediction

dc.typeJournal article
dspace.entity.typePublication
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