Measuring Fairness with Biased Data: A Case Study on the Effects of Unsupervised Data in Fairness Evaluation
Schroeder S, Schulz A, Tarakanov I, Feldhans R, Hammer B (2023)
In: Advances in Computational Intelligence. 17th International Work-Conference on Artificial Neural Networks, IWANN 2023, Ponta Delgada, Portugal, June 19–21, 2023, Proceedings, Part I. Rojas I, Joya G, Catala A (Eds); Lecture Notes in Computer Science. Cham: Springer Nature Switzerland: 134-145.
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Autor*in
Herausgeber*in
Rojas, Ignacio;
Joya, Gonzalo;
Catala, Andreu
Erscheinungsjahr
2023
Buchtitel
Advances in Computational Intelligence. 17th International Work-Conference on Artificial Neural Networks, IWANN 2023, Ponta Delgada, Portugal, June 19–21, 2023, Proceedings, Part I
Serientitel
Lecture Notes in Computer Science
Seite(n)
134-145
ISBN
978-3-031-43084-8
eISBN
978-3-031-43085-5
ISSN
0302-9743
eISSN
1611-3349
Page URI
https://pub.uni-bielefeld.de/record/2983457
Zitieren
Schroeder S, Schulz A, Tarakanov I, Feldhans R, Hammer B. Measuring Fairness with Biased Data: A Case Study on the Effects of Unsupervised Data in Fairness Evaluation. In: Rojas I, Joya G, Catala A, eds. Advances in Computational Intelligence. 17th International Work-Conference on Artificial Neural Networks, IWANN 2023, Ponta Delgada, Portugal, June 19–21, 2023, Proceedings, Part I. Lecture Notes in Computer Science. Cham: Springer Nature Switzerland; 2023: 134-145.
Schroeder, S., Schulz, A., Tarakanov, I., Feldhans, R., & Hammer, B. (2023). Measuring Fairness with Biased Data: A Case Study on the Effects of Unsupervised Data in Fairness Evaluation. In I. Rojas, G. Joya, & A. Catala (Eds.), Lecture Notes in Computer Science. Advances in Computational Intelligence. 17th International Work-Conference on Artificial Neural Networks, IWANN 2023, Ponta Delgada, Portugal, June 19–21, 2023, Proceedings, Part I (pp. 134-145). Cham: Springer Nature Switzerland. https://doi.org/10.1007/978-3-031-43085-5_11
Schroeder, Sarah, Schulz, Alexander, Tarakanov, Ivan, Feldhans, Robert, and Hammer, Barbara. 2023. “Measuring Fairness with Biased Data: A Case Study on the Effects of Unsupervised Data in Fairness Evaluation”. In Advances in Computational Intelligence. 17th International Work-Conference on Artificial Neural Networks, IWANN 2023, Ponta Delgada, Portugal, June 19–21, 2023, Proceedings, Part I, ed. Ignacio Rojas, Gonzalo Joya, and Andreu Catala, 134-145. Lecture Notes in Computer Science. Cham: Springer Nature Switzerland.
Schroeder, S., Schulz, A., Tarakanov, I., Feldhans, R., and Hammer, B. (2023). “Measuring Fairness with Biased Data: A Case Study on the Effects of Unsupervised Data in Fairness Evaluation” in Advances in Computational Intelligence. 17th International Work-Conference on Artificial Neural Networks, IWANN 2023, Ponta Delgada, Portugal, June 19–21, 2023, Proceedings, Part I, Rojas, I., Joya, G., and Catala, A. eds. Lecture Notes in Computer Science (Cham: Springer Nature Switzerland), 134-145.
Schroeder, S., et al., 2023. Measuring Fairness with Biased Data: A Case Study on the Effects of Unsupervised Data in Fairness Evaluation. In I. Rojas, G. Joya, & A. Catala, eds. Advances in Computational Intelligence. 17th International Work-Conference on Artificial Neural Networks, IWANN 2023, Ponta Delgada, Portugal, June 19–21, 2023, Proceedings, Part I. Lecture Notes in Computer Science. Cham: Springer Nature Switzerland, pp. 134-145.
S. Schroeder, et al., “Measuring Fairness with Biased Data: A Case Study on the Effects of Unsupervised Data in Fairness Evaluation”, Advances in Computational Intelligence. 17th International Work-Conference on Artificial Neural Networks, IWANN 2023, Ponta Delgada, Portugal, June 19–21, 2023, Proceedings, Part I, I. Rojas, G. Joya, and A. Catala, eds., Lecture Notes in Computer Science, Cham: Springer Nature Switzerland, 2023, pp.134-145.
Schroeder, S., Schulz, A., Tarakanov, I., Feldhans, R., Hammer, B.: Measuring Fairness with Biased Data: A Case Study on the Effects of Unsupervised Data in Fairness Evaluation. In: Rojas, I., Joya, G., and Catala, A. (eds.) Advances in Computational Intelligence. 17th International Work-Conference on Artificial Neural Networks, IWANN 2023, Ponta Delgada, Portugal, June 19–21, 2023, Proceedings, Part I. Lecture Notes in Computer Science. p. 134-145. Springer Nature Switzerland, Cham (2023).
Schroeder, Sarah, Schulz, Alexander, Tarakanov, Ivan, Feldhans, Robert, and Hammer, Barbara. “Measuring Fairness with Biased Data: A Case Study on the Effects of Unsupervised Data in Fairness Evaluation”. Advances in Computational Intelligence. 17th International Work-Conference on Artificial Neural Networks, IWANN 2023, Ponta Delgada, Portugal, June 19–21, 2023, Proceedings, Part I. Ed. Ignacio Rojas, Gonzalo Joya, and Andreu Catala. Cham: Springer Nature Switzerland, 2023. Lecture Notes in Computer Science. 134-145.
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