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Measuring Fairness with Biased Data: A Case Study on the Effects of Unsupervised Data in Fairness Evaluation

Sarah Schröder, Alexander Schulz 0001, Ivan Tarakanov, Robert Feldhans, Barbara Hammer. Measuring Fairness with Biased Data: A Case Study on the Effects of Unsupervised Data in Fairness Evaluation. In Ignacio Rojas, Gonzalo Joya, Andreu Català, editors, Advances in Computational Intelligence - 17th International Work-Conference on Artificial Neural Networks, IWANN 2023, Ponta Delgada, Portugal, June 19-21, 2023, Proceedings, Part I. Volume 14134 of Lecture Notes in Computer Science, pages 134-145, Springer, 2023. [doi]

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Sarah Schröder

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Alexander Schulz 0001

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Ivan Tarakanov

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Robert Feldhans

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Barbara Hammer

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