Methods and tools for causal discovery and causal inference. - Ana Rita Nogueira; Andrea Pugnana; Salvatore Ruggieri; Dino Pedreschi; João Gama 001 (WIREs Data Mining Knowl. Discov., 2022)

Topics in Selective Classification. - Andrea Pugnana (AAAI, 2023)

A Model-Agnostic Heuristics for Selective Classification. - Andrea Pugnana; Salvatore Ruggieri (AAAI, 2023)

Can We Trust Fair-AI? - Salvatore Ruggieri; José M. Álvarez 002; Andrea Pugnana; Laura State; Franco Turini (AAAI, 2023)

AUC-based Selective Classification. - Andrea Pugnana; Salvatore Ruggieri (AISTATS, 2023)

Applied Data Science for Leasing Score Prediction. - Giuseppe Cianci; Roberto Goglia; Riccardo Guidotti; Matteo Kapllaj; Roberto Mosca 004; Andrea Pugnana; Franco Ricotti; Salvatore Ruggieri (IEEE Big Data, 2023)

Model Agnostic Explainable Selective Regression via Uncertainty Estimation. - Andrea Pugnana; Carlos Mougan; Dan Saattrup Nielsen (CoRR, 2023)

A Fair Selective Classifier to Put Humans in the Loop. - Daphne Lenders; Andrea Pugnana; Roberto Pellungrini; Toon Calders; Fosca Giannotti; Dino Pedreschi (EWAF, 2024)

Interpretable and Fair Mechanisms for Abstaining Classifiers. - Daphne Lenders; Andrea Pugnana; Roberto Pellungrini; Toon Calders; Dino Pedreschi; Fosca Giannotti (ECML/PKDD (7), 2024)

Deep Neural Network Benchmarks for Selective Classification. - Andrea Pugnana; Lorenzo Perini; Jesse Davis; Salvatore Ruggieri (CoRR, 2024)

Solving imbalanced learning with outlier detection and features reduction. - Salvatore Lusito; Andrea Pugnana; Riccardo Guidotti (Mach. Learn., 2024)

Things Machine Learning Models Know That They Don't Know. - Salvatore Ruggieri; Andrea Pugnana (AAAI, 2025)

A Causal Framework for Evaluating Deferring Systems. - Filippo Palomba; Andrea Pugnana; José M. Álvarez 002; Salvatore Ruggieri (AISTATS, 2025)

Deferring Concept Bottleneck Models: Learning to Defer Interventions to Inaccurate Experts. - Andrea Pugnana; Riccardo Massidda; Francesco Giannini; Pietro Barbiero; Mateo Espinosa Zarlenga; Roberto Pellungrini; Gabriele Dominici; Fosca Giannotti; Davide Bacciu (CoRR, 2025)

Bounded-Abstention Pairwise Learning to Rank. - Antonio Ferrara 003; Andrea Pugnana; Francesco Bonchi; Salvatore Ruggieri (CoRR, 2025)