Identifying Risks in Datasets for Automated Decision-Making. - Mariachiara Mecati; Flavio Emanuele Cannavò; Antonio Vetrò; Marco Torchiano (EGOV, 2020)

Detecting Discrimination Risk in Automated Decision-Making Systems with Balance Measures on Input Data. - Mariachiara Mecati; Antonio Vetrò; Marco Torchiano (IEEE BigData, 2021)

A data quality approach to the identification of discrimination risk in automated decision making systems. - Antonio Vetrò; Marco Torchiano; Mariachiara Mecati (Gov. Inf. Q., 2021)

Identifying Imbalance Thresholds in Input Data to Achieve Desired Levels of Algorithmic Fairness. - Mariachiara Mecati; Andrea Adrignola; Antonio Vetrò; Marco Torchiano (IEEE Big Data, 2022)

Detecting Risk of Biased Output with Balance Measures. - Mariachiara Mecati; Antonio Vetrò; Marco Torchiano (ACM J. Data Inf. Qual., 2022)

Measuring Imbalance on Intersectional Protected Attributes and on Target Variable to Forecast Unfair Classifications. - Mariachiara Mecati; Marco Torchiano; Antonio Vetrò; Juan Carlos De Martin (IEEE Access, 2023)