Data adequacy bias impact in a data-blinded semi-supervised GAN for privacy-aware COVID-19 chest X-ray classification

Published in The 13th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics, 2022

Recommended citation: Pastorino, J., & Biswas, A. K. (2022, August). Data adequacy bias impact in a data-blinded semi-supervised GAN for privacy-aware COVID-19 chest X-ray classification. In Proceedings of the 13th ACM International Conference on Bioinformatics, Computational Biology and Health Informatics (pp. 1-8). https://dl.acm.org/doi/abs/10.1145/3535508.3545560