1 citations · 2 across the 3 of their papers we have counts for
3 papers
Contextual Fairness-Aware Practices in ML: A Cost-Effective Empirical Evaluation
Alessandra Parziale, Gianmario Voria, Giammaria Giordano +3
As machine learning (ML) systems become central to critical decision-making, concerns over fairness and potential biases have increased. To address this, the software engineering (…
Data Preparation for Fairness-Performance Trade-Offs: A Practitioner-Friendly Alternative?
Gianmario Voria, Rebecca Di Matteo, Giammaria Giordano +2
As machine learning (ML) systems are increasingly adopted across industries, addressing fairness and bias has become essential. While many solutions focus on ethical challenges in…
From Expectation to Habit: Why Do Software Practitioners Adopt Fairness Toolkits?
Gianmario Voria, Stefano Lambiase, Maria Concetta Schiavone +2
As the adoption of machine learning (ML) systems continues to grow across industries, concerns about fairness and bias in these systems have taken center stage. Fairness toolkits,…