Principal Fairness: Removing Bias via Projections. - Aris Anagnostopoulos; Luca Becchetti; Matteo Böhm; Adriano Fazzone; Stefano Leonardi 001; Cristina Menghini; Chris Schwiegelshohn (CoRR, 2019)

Fair Clustering with Multiple Colors. - Matteo Böhm; Adriano Fazzone; Stefano Leonardi 001; Chris Schwiegelshohn (CoRR, 2020)

Improving vehicles' emissions reduction policies by targeting gross polluters. - Matteo Böhm; Mirco Nanni; Luca Pappalardo (CoRR, 2021)

Algorithms for fair k-clustering with multiple protected attributes. - Matteo Böhm; Adriano Fazzone; Stefano Leonardi 001; Cristina Menghini; Chris Schwiegelshohn (Oper. Res. Lett., 2021)

How routing strategies impact urban emissions. - Giuliano Cornacchia; Matteo Böhm; Giovanni Mauro; Mirco Nanni; Dino Pedreschi; Luca Pappalardo (SIGSPATIAL/GIS, 2022)

Human mobility, AI assistants, and urban emissions: an insidious triangle. - Luca Pappalardo; Matteo Böhm; Giuliano Cornacchia; Giovanni Mauro; Dino Pedreschi; Mirco Nanni (Ital-IA, 2023)

Explaining Urban Vehicle Emissions in Rome. - Matteo Böhm; Patricio Reyes; Mirco Nanni; Luca Pappalardo (DS (2), 2024)

Fair Projections as a Means toward Balanced Recommendations. - Aris Anagnostopoulos; Luca Becchetti; Matteo Böhm; Adriano Fazzone; Stefano Leonardi 001; Cristina Menghini; Chris Schwiegelshohn (ACM Trans. Intell. Syst. Technol., 2025)