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A 'divide and conquer' reject inference approach leveraging graph-based semi-supervised learning.

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Title: A 'divide and conquer' reject inference approach leveraging graph-based semi-supervised learning.
Authors: Wu, Zongxiao1, Zongxiao.Wu@ed.ac.uk, Dong, Yizhe1, Yizhe.Dong@ed.ac.uk, Li, Yaoyiran2, yl711@cam.ac.uk, Liu, Yaorong3, Y.R.Liu@sms.ed.ac.uk
Source: Annals of Operations Research; Jun2026, Vol. 361 Issue 1, p383-412, 30p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 194091816
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PubTypeId: academicJournal
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  Data: A 'divide and conquer' reject inference approach leveraging graph-based semi-supervised learning.
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  Data: <searchLink fieldCode="AU" term="%22Wu%2C+Zongxiao%22">Wu, Zongxiao</searchLink><relatesTo>1</relatesTo>, <i>Zongxiao.Wu@ed.ac.uk</i><br /><searchLink fieldCode="AU" term="%22Dong%2C+Yizhe%22">Dong, Yizhe</searchLink><relatesTo>1</relatesTo>, <i>Yizhe.Dong@ed.ac.uk</i><br /><searchLink fieldCode="AU" term="%22Li%2C+Yaoyiran%22">Li, Yaoyiran</searchLink><relatesTo>2</relatesTo>, <i>yl711@cam.ac.uk</i><br /><searchLink fieldCode="AU" term="%22Liu%2C+Yaorong%22">Liu, Yaorong</searchLink><relatesTo>3</relatesTo>, <i>Y.R.Liu@sms.ed.ac.uk</i>
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  Data: <searchLink fieldCode="JN" term="%22Annals+of+Operations+Research%22">Annals of Operations Research</searchLink>; Jun2026, Vol. 361 Issue 1, p383-412, 30p
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=194091816
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1007/s10479-025-06621-9
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      – Code: eng
        Text: English
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        PageCount: 30
        StartPage: 383
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      – TitleFull: A 'divide and conquer' reject inference approach leveraging graph-based semi-supervised learning.
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            NameFull: Wu, Zongxiao
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            NameFull: Dong, Yizhe
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            NameFull: Li, Yaoyiran
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            – D: 01
              M: 06
              Text: Jun2026
              Type: published
              Y: 2026
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              Value: 361
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            – TitleFull: Annals of Operations Research
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