Browsing by Subject "variances"

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  • Rauschenberger, Maria; Baeza Yates, Ricardo (De Gruyter, 2020)
    When discussing interpretable machine learning results, researchers need to compare them and check for reliability, especially for health-related data. The reason is the negative impact of wrong results on a person, such ...

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