3 citations · 4 across the 2 of their papers we have counts for
2 papers
cs.LG2023★ 1 cited
Adversarial Reweighting Guided by Wasserstein Distance for Bias Mitigation
Xuan Zhao, Simone Fabbrizzi, Paula Reyero Lobo +4
The unequal representation of different groups in a sample population can lead to discrimination of minority groups when machine learning models make automated decisions. To addres…
cs.CV2021★ 3 cited
A Survey on Bias in Visual Datasets
Simone Fabbrizzi, Symeon Papadopoulos, Eirini Ntoutsi +1
Computer Vision (CV) has achieved remarkable results, outperforming humans in several tasks. Nonetheless, it may result in significant discrimination if not handled properly as CV…