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Fairness-enhancing classification methods for non-binary sensitive features—How to fairly detect leakages in water distribution systems.

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Bibliographic Details
Title: Fairness-enhancing classification methods for non-binary sensitive features—How to fairly detect leakages in water distribution systems.
Authors: Strotherm, Janine1, jstrotherm@techfak.uni-bielefeld.de, Ashraf, Inaam1, Hammer, Barbara1
Source: PeerJ Computer Science; Sep2024, p1-41, 41p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 180255703
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
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  Data: Fairness-enhancing classification methods for non-binary sensitive features—How to fairly detect leakages in water distribution systems.
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    Identifiers:
      – Type: doi
        Value: 10.7717/peerj-cs.2317
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      – Code: eng
        Text: English
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        PageCount: 41
        StartPage: 1
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      – TitleFull: Fairness-enhancing classification methods for non-binary sensitive features—How to fairly detect leakages in water distribution systems.
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            NameFull: Strotherm, Janine
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            NameFull: Ashraf, Inaam
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            – D: 01
              M: 09
              Text: Sep2024
              Type: published
              Y: 2024
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