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Feature scaling induced data leakage quantification in machine learning-based voice pathology detection.

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Title: Feature scaling induced data leakage quantification in machine learning-based voice pathology detection.
Authors: Vrba, Jan1,2, Jan.Vrba@vscht.cz, Steinbach, Jakub1,2, Jirsa, Tomáš1, Homma, Noriyasu2
Source: Applied Soft Computing; Aug2026, Vol. 199, pN.PAG-N.PAG, 1p
Database: Applied Science & Technology Source
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  Availability: 0
Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 194375286
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=194375286
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1016/j.asoc.2026.115349
    Languages:
      – Code: eng
        Text: English
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        PageCount: 1
        StartPage: N.PAG
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      – TitleFull: Feature scaling induced data leakage quantification in machine learning-based voice pathology detection.
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            NameFull: Vrba, Jan
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            NameFull: Steinbach, Jakub
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            NameFull: Jirsa, Tomáš
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            NameFull: Homma, Noriyasu
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          Dates:
            – D: 01
              M: 08
              Text: Aug2026
              Type: published
              Y: 2026
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              Value: 15684946
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              Value: 199
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            – TitleFull: Applied Soft Computing
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