This artifact corresponds to the paper titled 'Fairness Improvement with Multiple Protected Attributes: How Far Are We?' (https://chenzhenpeng18.github.io/papers/ICSE24.pdf), which has been accepted b
Does Multiple Criteria Decision Aiding (MCDA) improve the process of evaluating Machine Learning (ML) algorithms, when critical criteria of fairness are concurrently considered, b
This dataset contains images of dermatological diseases. Data corresponds to patients collected from 2010 to 2020 (about 300 pictures of child dermatological diseases). Data was collected by the Azien
With the widespread application of machine learning algorithms in daily life, it is crucial to mitigate the risk of these algorithms producing socially undesirable outcomes that may disproportionately
