MARCUZZI, FEDERICO
MARCUZZI, FEDERICO
Beyond robustness: Resilience verification of tree-based classifiers
2022 Calzavara, S.; Cazzaro, L.; Lucchese, C.; Marcuzzi, F.; Orlando, S.
Does LambdaMART Do What You Expect?
2023 Lucchese, C.; Marcuzzi, F.; Orlando, S.
Explainable Global Fairness Verification of Tree-Based Classifiers
2023 Calzavara, S.; Cazzaro, L.; Lucchese, C.; Marcuzzi, F.
Feature partitioning for robust tree ensembles and their certification in adversarial scenarios
2021 Calzavara, Stefano; Lucchese, Claudio; Marcuzzi, Federico; Orlando, Salvatore
Filtering out Outliers in Learning to Rank
2022 Marcuzzi, F.; Lucchese, C.; Orlando, S.
LambdaFair for Fair and Effective Ranking
2025 Marcuzzi, F.; Lucchese, C.; Orlando, S.
LambdaFair: a Fair and Effective LambdaMART
2024 Marcuzzi, Federico; Lucchese, Claudio; Orlando, Salvatore
LambdaRank Gradients are Incoherent
2023 Marcuzzi, F.; Lucchese, C.; Orlando, S.
On the Effect of Low-Ranked Documents: A New Sampling Function for Selective Gradient Boosting
2023 Lucchese, C.; Marcuzzi, F.; Orlando, S.
Software Systems Compliance with the AI Act: Lessons Learned from an International Challenge
2024 Scantamburlo, Teresa; Falcarin, Paolo; Veneri, Alberto; Fabris, Alessandro; Gallese, Chiara; Billa, Valentina; Rotolo, Francesca; Marcuzzi, Federico
SOUR: an Outliers Detection Algorithm in Learning to Rank (Abstract)
2022 Marcuzzi, F.; Lucchese, C.; Orlando, S.