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Generating plausible counterfactual instances for anomaly interpretation with generative adversarial networks.

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Title: Generating plausible counterfactual instances for anomaly interpretation with generative adversarial networks.
Authors: Guan, Lili1, Duan, Lei1, leiduan@scu.edu.cn, Guo, Yu1, Wang, Xinye2, Wang, Haiying3
Source: Information Fusion; Sep2026, Vol. 133, pN.PAG-N.PAG, 1p
Database: Applied Science & Technology Source
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Header DbId: aci
DbLabel: Applied Science & Technology Source
An: 193397165
AccessLevel: 2
PubType: Academic Journal
PubTypeId: academicJournal
PreciseRelevancyScore: 0
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  Data: Generating plausible counterfactual instances for anomaly interpretation with generative adversarial networks.
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  Data: <searchLink fieldCode="AU" term="%22Guan%2C+Lili%22">Guan, Lili</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Duan%2C+Lei%22">Duan, Lei</searchLink><relatesTo>1</relatesTo>, <i>leiduan@scu.edu.cn</i><br /><searchLink fieldCode="AU" term="%22Guo%2C+Yu%22">Guo, Yu</searchLink><relatesTo>1</relatesTo><br /><searchLink fieldCode="AU" term="%22Wang%2C+Xinye%22">Wang, Xinye</searchLink><relatesTo>2</relatesTo><br /><searchLink fieldCode="AU" term="%22Wang%2C+Haiying%22">Wang, Haiying</searchLink><relatesTo>3</relatesTo>
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PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=aci&AN=193397165
RecordInfo BibRecord:
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    Identifiers:
      – Type: doi
        Value: 10.1016/j.inffus.2026.104310
    Languages:
      – Code: eng
        Text: English
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        PageCount: 1
        StartPage: N.PAG
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      – TitleFull: Generating plausible counterfactual instances for anomaly interpretation with generative adversarial networks.
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            NameFull: Guan, Lili
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            NameFull: Duan, Lei
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            NameFull: Guo, Yu
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            NameFull: Wang, Xinye
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            NameFull: Wang, Haiying
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          Dates:
            – D: 01
              M: 09
              Text: Sep2026
              Type: published
              Y: 2026
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              Value: 15662535
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              Value: 133
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            – TitleFull: Information Fusion
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