Algorithmic Factors Influencing Bias in Machine Learning. - William Blanzeisky; Pádraig Cunningham (PKDD/ECML Workshops (1), 2021)

Introducing a Family of Synthetic Datasets for Research on Bias in Machine Learning. - William Blanzeisky; Pádraig Cunningham; Kenneth Kennedy (CoRR, 2021)

Algorithmic Bias and Fairness in Case-Based Reasoning. - William Blanzeisky; Barry Smyth; Pádraig Cunningham (ICCBR, 2022)

Using Pareto simulated annealing to address algorithmic bias in machine learning. - William Blanzeisky; Pádraig Cunningham (Knowl. Eng. Rev., 2022)

Addressing Underestimation Bias in CBR Through Case-Base Maintenance. - William Blanzeisky; Pádraig Cunningham (ICCBR, 2023)