1. Repositório Aberto da Universidade do Porto
  2. FCUP - Faculdade de Ciências
  3. FCUP - Dissertação
Please use this identifier to cite or link to this item: https://hdl.handle.net/10216/172040
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dc.creatorHugo Miguel Chaves Polónia Valdrez
dc.date.accessioned2026-01-30T00:22:04Z-
dc.date.available2026-01-30T00:22:04Z-
dc.date.issued2025-11-20
dc.date.submitted2026-01-08
dc.identifier.othersigarra:753806
dc.identifier.urihttps://hdl.handle.net/10216/172040-
dc.language.isoeng
dc.rightsopenAccess
dc.subjectCiências exactas e naturais
dc.subjectNatural sciences
dc.titleExploring machine learning strategies for the identification, quantification, and mitigation of Small Disjuncts in imbalanced data
dc.typeDissertação
dc.contributor.uportoFaculdade de Ciências
dc.identifier.tid204167361
dc.subject.fosCiências exactas e naturais
dc.subject.fosNatural sciences
thesis.degree.disciplineMestrado em Ciência de Computadores
thesis.degree.grantorFaculdade de Ciências
thesis.degree.grantorUniversidade do Porto
thesis.degree.level1
Appears in Collections:FCUP - Dissertação

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