Interpretable Machine Learning: Moving from Mythos to Diagnostics.

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Bibliographic Details
Title: Interpretable Machine Learning: Moving from Mythos to Diagnostics.
Authors: CHEN, VALERIE1, LI, JEFFREY2, JOON SIK KIM3, PLUMB, GREGORY1, TALWALKAR, AMEET4
Source: Communications of the ACM; Aug2022, Vol. 65 Issue 8, p43-50, 8p, 6 Diagrams
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 158128815
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PubType: Periodical
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      – Type: doi
        Value: 10.1145/3546036
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      – Code: eng
        Text: English
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        PageCount: 8
        StartPage: 43
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      – TitleFull: Interpretable Machine Learning: Moving from Mythos to Diagnostics.
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            NameFull: CHEN, VALERIE
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            NameFull: JOON SIK KIM
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              M: 08
              Text: Aug2022
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              Y: 2022
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              Value: 65
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