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    Mitigating Algorithmic Bias Through Probability Calibration: A Case Study on Lead Generation Data

    Mitigating Algorithmic Bias Through Probability Calibration: A Case Study on Lead Generation Data por Miroslav Nikolić, Danilo Nikolić, Miroslav Stefanović, Sara Koprivica, Darko Stefanović

    Publicado 2025-07-01

    Probability calibration is commonly utilized to enhance the reliability and interpretability of probabilistic classifiers, yet its potential for reducing algorithmic bias remains under-explored. In this study, the role of probability calibration techniques in mitigating bias associated with sensitiv...

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