1 citations · 1 across the 2 of their papers we have counts for
3 papers
Survey on Fairness Notions and Related Tensions
Guilherme Alves, Fabien Bernier, Miguel Couceiro +3
Automated decision systems are increasingly used to take consequential decisions in problems such as job hiring and loan granting with the hope of replacing subjective human decisi…
Reducing Unintended Bias of ML Models on Tabular and Textual Data
Guilherme Alves, Maxime Amblard, Fabien Bernier +2
Unintended biases in machine learning (ML) models are among the major concerns that must be addressed to maintain public trust in ML. In this paper, we address process fairness of…
Making ML models fairer through explanations: the case of LimeOut
Guilherme Alves, Vaishnavi Bhargava, Miguel Couceiro +1
Algorithmic decisions are now being used on a daily basis, and based on Machine Learning (ML) processes that may be complex and biased. This raises several concerns given the criti…