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]
@inproceedings{SchroderSTFH23,
title = {Measuring Fairness with Biased Data: A Case Study on the Effects of Unsupervised Data in Fairness Evaluation},
author = {Sarah Schröder and Alexander Schulz 0001 and Ivan Tarakanov and Robert Feldhans and Barbara Hammer},
year = {2023},
doi = {10.1007/978-3-031-43085-5_11},
url = {https://doi.org/10.1007/978-3-031-43085-5_11},
researchr = {https://researchr.org/publication/SchroderSTFH23},
cites = {0},
citedby = {0},
pages = {134-145},
booktitle = {Advances in Computational Intelligence - 17th International Work-Conference on Artificial Neural Networks, IWANN 2023, Ponta Delgada, Portugal, June 19-21, 2023, Proceedings, Part I},
editor = {Ignacio Rojas and Gonzalo Joya and Andreu Català},
volume = {14134},
series = {Lecture Notes in Computer Science},
publisher = {Springer},
isbn = {978-3-031-43085-5},
}