Andrea Pugnana

22 papers A* 4A 2B 1Journal 13Unranked 2
YearRankTypeTitle / Venue / Authors
2026 J jnl
Bounded-Abstention Multi-horizon Time-series Forecasting.
CoRR
Luca Stradiotti, Laurens Devos, Anna Monreale, Jesse Davis, Andrea Pugnana
2025 A conf
A Causal Framework for Evaluating Deferring Systems.
AISTATS
Filippo Palomba, Andrea Pugnana, José M. Álvarez, Salvatore Ruggieri
2025 J jnl
Bounded-Abstention Pairwise Learning to Rank.
CoRR
Antonio Ferrara, Andrea Pugnana, Francesco Bonchi, Salvatore Ruggieri
2025 J jnl
Deferring Concept Bottleneck Models: Learning to Defer Interventions to Inaccurate Experts.
CoRR
Andrea Pugnana, Riccardo Massidda, Francesco Giannini, Pietro Barbiero, Mateo Espinosa Zarlenga, Roberto Pellungrini, Gabriele Dominici, Fosca Giannotti, Davide Bacciu
2025 J jnl
Interpretable and Fair Mechanisms for Abstaining Classifiers.
CoRR
Daphne Lenders, Andrea Pugnana, Roberto Pellungrini, Toon Calders, Dino Pedreschi, Fosca Giannotti
2025 J jnl
Multiclass Local Calibration With the Jensen-Shannon Distance.
CoRR
Cesare Barbera, Lorenzo Perini, Giovanni De Toni, Andrea Passerini, Andrea Pugnana
2025 A* conf
Things Machine Learning Models Know That They Don't Know.
AAAI
Salvatore Ruggieri, Andrea Pugnana
2025 J jnl
To Ask or Not to Ask: Learning to Require Human Feedback.
CoRR
Andrea Pugnana, Giovanni De Toni, Cesare Barbera, Roberto Pellungrini, Bruno Lepri, Andrea Passerini
2024 J jnl
A Causal Framework for Evaluating Deferring Systems.
CoRR
Filippo Palomba, Andrea Pugnana, José M. Álvarez, Salvatore Ruggieri
2024 — conf
A Fair Selective Classifier to Put Humans in the Loop.
EWAF
Daphne Lenders, Andrea Pugnana, Roberto Pellungrini, Toon Calders, Fosca Giannotti, Dino Pedreschi
2024 J jnl
Deep Neural Network Benchmarks for Selective Classification.
CoRR
Andrea Pugnana, Lorenzo Perini, Jesse Davis, Salvatore Ruggieri
2024 J jnl
Deep Neural Network Benchmarks for Selective Classification.
J. Data-centric Mach. Learn. Res.
Andrea Pugnana, Lorenzo Perini, Jesse Davis, Salvatore Ruggieri
2024 — conf
Interpretable and Fair Mechanisms for Abstaining Classifiers.
ECML/PKDD (7)
Daphne Lenders, Andrea Pugnana, Roberto Pellungrini, Toon Calders, Dino Pedreschi, Fosca Giannotti
2024 J jnl
Solving imbalanced learning with outlier detection and features reduction.
Mach. Learn.
Salvatore Lusito, Andrea Pugnana, Riccardo Guidotti
2023 A* conf
A Model-Agnostic Heuristics for Selective Classification.
AAAI
Andrea Pugnana, Salvatore Ruggieri
2023 A conf
AUC-based Selective Classification.
AISTATS
Andrea Pugnana, Salvatore Ruggieri
2023 B conf
Applied Data Science for Leasing Score Prediction.
IEEE Big Data
Giuseppe Cianci, Roberto Goglia, Riccardo Guidotti, Matteo Kapllaj, Roberto Mosca, Andrea Pugnana, Franco Ricotti, Salvatore Ruggieri
2023 A* conf
Can We Trust Fair-AI?
AAAI
Salvatore Ruggieri, José M. Álvarez, Andrea Pugnana, Laura State, Franco Turini
2023 J jnl
Model Agnostic Explainable Selective Regression via Uncertainty Estimation.
CoRR
Andrea Pugnana, Carlos Mougan, Dan Saattrup Nielsen
2023 A* conf
Topics in Selective Classification.
AAAI
Andrea Pugnana
2022 J jnl
AUC-based Selective Classification.
CoRR
Andrea Pugnana, Salvatore Ruggieri
2022 J jnl
Methods and tools for causal discovery and causal inference.
WIREs Data Mining Knowl. Discov.
Ana Rita Nogueira, Andrea Pugnana, Salvatore Ruggieri, Dino Pedreschi, João Gama