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Leveraging class hierarchy for detecting missing annotations on hierarchical multi-label classification

 
dc.contributor.authorRomero, Miguel
dc.contributor.authorNakano, Felipe Kenji
dc.contributor.authorFinke, Jorge
dc.contributor.authorRocha, Camilo
dc.contributor.authorVens, Celine
dc.contributor.imecauthorNakano, Felipe Kenji
dc.contributor.imecauthorVens, Celine
dc.contributor.orcidimecNakano, Felipe Kenji::0000-0002-4884-9420
dc.contributor.orcidimecVens, Celine::0000-0003-0983-256X
dc.date.accessioned2023-06-30T13:51:02Z
dc.date.available2023-02-05T03:20:17Z
dc.date.available2023-06-30T13:51:02Z
dc.date.issued2023
dc.description.wosFundingTextThis work was funded by the OMICAS program anchored at the Pontificia Universidad Javeriana in Cali and funded within the Colombian Scientific Ecosystem by The World Bank, United States, the Colombian Ministry of Science, Technology and Innovation, Colombia, the Colom- bian Ministry of Education, the Colombian Ministry of Industry and Turism, Colombia, and ICETEX, Colombia, under GRANT ID: FP44842- 217-2018. The authors also acknowledge the support from the Research Fund Flanders, Belgium (through research project G080118N) and from the Flemish Government, Belgium (AI Research Program) .
dc.identifier.doi10.1016/j.compbiomed.2022.106423
dc.identifier.issn0010-4825
dc.identifier.pmidMEDLINE:36529023
dc.identifier.urihttps://imec-publications.be/handle/20.500.12860/41062
dc.publisherPERGAMON-ELSEVIER SCIENCE LTD
dc.source.beginpageArt.: 106423
dc.source.endpagena
dc.source.issueJanuary
dc.source.journalCOMPUTERS IN BIOLOGY AND MEDICINE
dc.source.numberofpages11
dc.source.volume152
dc.subject.keywordsGENE
dc.subject.keywordsINFORMATION
dc.subject.keywordsPREDICTION
dc.subject.keywordsONTOLOGY
dc.subject.keywordsDATABASE
dc.title

Leveraging class hierarchy for detecting missing annotations on hierarchical multi-label classification

dc.typeJournal article
dspace.entity.typePublication
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