Using explainable AI for enhanced understanding of winter road safety: insights with support vector machines and SHAP.

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Title: Using explainable AI for enhanced understanding of winter road safety: insights with support vector machines and SHAP.
Authors: Shuai, Zehua1 (AUTHOR) zshuai1@ualberta.ca, Kwon, Tae J.1 (AUTHOR), Xie, Qian1 (AUTHOR)
Source: Canadian Journal of Civil Engineering. 2024, Vol. 51 Issue 9, p943-953. 11p.
Database: Environment Complete
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An: 179362825
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PubType: Academic Journal
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  Data: Using explainable AI for enhanced understanding of winter road safety: insights with support vector machines and SHAP.
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  Data: <searchLink fieldCode="JN" term="%22Canadian+Journal+of+Civil+Engineering%22">Canadian Journal of Civil Engineering</searchLink>. 2024, Vol. 51 Issue 9, p943-953. 11p.
PLink https://search.ebscohost.com/login.aspx?direct=true&site=eds-live&db=eih&AN=179362825
RecordInfo BibRecord:
  BibEntity:
    Identifiers:
      – Type: doi
        Value: 10.1139/cjce-2023-0446
    Languages:
      – Code: eng
        Text: English
    PhysicalDescription:
      Pagination:
        PageCount: 11
        StartPage: 943
    Titles:
      – TitleFull: Using explainable AI for enhanced understanding of winter road safety: insights with support vector machines and SHAP.
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            NameFull: Shuai, Zehua
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            NameFull: Kwon, Tae J.
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          Name:
            NameFull: Xie, Qian
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            – D: 01
              M: 09
              Text: 2024
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              Y: 2024
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              Value: 51
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              Value: 9
          Titles:
            – TitleFull: Canadian Journal of Civil Engineering
              Type: main
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