Publication:
Ensemble of Effect Size Methods Based on Meta Fuzzy Functions

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dc.contributor.authorYabacı Tak A.
dc.contributor.authorErcan İ.
dc.contributor.institutionauthorYABACI TAK, AYŞEGÜL
dc.date.accessioned2023-01-05T23:58:58Z
dc.date.available2023-01-05T23:58:58Z
dc.date.issued2023-03-01
dc.identifier.citationYabacı Tak A., Ercan İ., "Ensemble of Effect Size Methods Based on Meta Fuzzy Functions", ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, sa.119, ss.1-10, 2023
dc.identifier.doi10.1016/j.engappai.2022.105804
dc.identifier.endpage10
dc.identifier.issn0952-1976
dc.identifier.issue119
dc.identifier.startpage1
dc.identifier.urihttps://www.sciencedirect.com/science/article/pii/S0952197622007941?dgcid=author
dc.identifier.urihttps://hdl.handle.net/20.500.12645/34580
dc.relation.ispartofENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE
dc.rightsinfo:eu-repo/semantics/openAccess
dc.subjectTıp
dc.subjectSağlık Bilimleri
dc.subjectTemel Tıp Bilimleri
dc.subjectBiyoistatistik ve Tıp Bilişimi
dc.subjectMedicine
dc.subjectHealth Sciences
dc.subjectFundamental Medical Sciences
dc.subjectBiostatistics and Medical Informatics
dc.subjectKlinik Tıp (MED)
dc.subjectKlinik Tıp
dc.subjectTIBBİ BİLİŞİM
dc.subjectTIP, GENEL & DAHİLİ
dc.subjectClinical Medicine (MED)
dc.subjectCLINICAL MEDICINE
dc.subjectMEDICAL INFORMATICS
dc.subjectMEDICINE, GENERAL & INTERNAL
dc.subjectGenel Sağlık Meslekleri
dc.subjectPatofizyoloji
dc.subjectTemel Bilgi ve Beceriler
dc.subjectDeğerlendirme ve Teşhis
dc.subjectDahiliye
dc.subjectTıbbi Bilişim
dc.subjectAile Sağlığı
dc.subjectTıp (çeşitli)
dc.subjectGenel Tıp
dc.subjectGeneral Health Professions
dc.subjectPathophysiology
dc.subjectFundamentals and Skills
dc.subjectAssessment and Diagnosis
dc.subjectInternal Medicine
dc.subjectHealth Informatics
dc.subjectFamily Practice
dc.subjectMedicine (miscellaneous)
dc.subjectGeneral Medicine
dc.titleEnsemble of Effect Size Methods Based on Meta Fuzzy Functions
dc.typeArticle
dspace.entity.typePublication
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relation.isAuthorOfPublication.latestForDiscovery0e4de2a1-86eb-4e6c-ba74-a71afe7cba3b

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