2 citations · 3 across the 2 of their papers we have counts for
2 papers
cs.LG2025★ 2 cited
Interpretable and Fair Mechanisms for Abstaining Classifiers
Daphne Lenders, Andrea Pugnana, Roberto Pellungrini +3
Abstaining classifiers have the option to refrain from providing a prediction for instances that are difficult to classify. The abstention mechanism is designed to trade off the cl…
cs.CY2024★ 1 cited
15 Years of Algorithmic Fairness -- Scoping Review of Interdisciplinary Developments in the Field
Daphne Lenders, Anne Oloo
This paper presents a scoping review of algorithmic fairness research over the past fifteen years, utilising a dataset sourced from Web of Science, HEIN Online, FAccT and AIES proc…