Andrea Pugnana

According to our database, Andrea Pugnana authored at least 22 papers between 2022 and 2026.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2026

Divide et Calibra: Multiclass Local Calibration via Vector Quantization.

Cesare Barbera, Lorenzo Perini, Giovanni De Toni, Andrea Passerini, Andrea Pugnana

CoRR, May, 2026

Concise and Logically Consistent Conformal Sets for Neuro-Symbolic Concept-Based Models.

Samuele Bortolotti, Emanuele Marconato, Andrea Pugnana, Andrea Passerini, Stefano Teso

CoRR, May, 2026

Concepts Worth Having: Refining VLM-Guided Concept Bottleneck Models with Minimal Annotations.

Nicola Debole, Andrea Passerini, Stefano Teso, Andrea Pugnana, Emanuele Marconato

CoRR, May, 2026

Bounded-Abstention Multi-horizon Time-series Forecasting.

Luca Stradiotti, Laurens Devos, Anna Monreale, Jesse Davis, Andrea Pugnana

CoRR, February, 2026

2025

Multiclass Local Calibration With the Jensen-Shannon Distance.

Cesare Barbera, Lorenzo Perini, Giovanni De Toni, Andrea Passerini, Andrea Pugnana

CoRR, October, 2025

To Ask or Not to Ask: Learning to Require Human Feedback.

Andrea Pugnana, Giovanni De Toni, Cesare Barbera, Roberto Pellungrini, Bruno Lepri, Andrea Passerini

CoRR, October, 2025

Bounded-Abstention Pairwise Learning to Rank.

Antonio Ferrara, Andrea Pugnana, Francesco Bonchi, Salvatore Ruggieri

CoRR, May, 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, March, 2025

TCAI 2025: Trustworthy and Collaborative Artificial Intelligence Workshop (Preface).

Roberto Pellungrini, Andrea Pugnana, Burcu Sayin, Apoorva Singh, Bruno Lepri

Proceedings of the Workshops at the Fourth International Conference on Hybrid Human-Artificial Intelligence co-located with the Fourth International Conference on Hybrid Human-Artificial Intelligence (HHAI 2025), 2025

A Causal Framework for Evaluating Deferring Systems.

Filippo Palomba, Andrea Pugnana, José M. Álvarez, Salvatore Ruggieri

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2025

Things Machine Learning Models Know That They Don't Know.

Salvatore Ruggieri, Andrea Pugnana

Proceedings of the Thirty-Ninth AAAI Conference on Artificial Intelligence, 2025

2024

Solving imbalanced learning with outlier detection and features reduction.

Salvatore Lusito, Andrea Pugnana, Riccardo Guidotti

Mach. Learn., July, 2024

Deep Neural Network Benchmarks for Selective Classification.

Andrea Pugnana, Lorenzo Perini, Jesse Davis, Salvatore Ruggieri

J. Data-centric Mach. Learn. Res., 2024

Interpretable and Fair Mechanisms for Abstaining Classifiers.

Daphne Lenders, Andrea Pugnana, Roberto Pellungrini, Toon Calders, Dino Pedreschi, Fosca Giannotti

Proceedings of the Machine Learning and Knowledge Discovery in Databases. Research Track, 2024

A Fair Selective Classifier to Put Humans in the Loop.

Daphne Lenders, Andrea Pugnana, Roberto Pellungrini, Toon Calders, Fosca Giannotti, Dino Pedreschi

Proceedings of the 3rd European Workshop on Algorithmic Fairness, 2024

2023

Model Agnostic Explainable Selective Regression via Uncertainty Estimation.

Andrea Pugnana, Carlos Mougan, Dan Saattrup Nielsen

CoRR, 2023

Applied Data Science for Leasing Score Prediction.

Giuseppe Cianci, Roberto Goglia, Riccardo Guidotti, Matteo Kapllaj, Roberto Mosca, Andrea Pugnana, Franco Ricotti, Salvatore Ruggieri

Proceedings of the IEEE International Conference on Big Data, 2023

AUC-based Selective Classification.

Andrea Pugnana, Salvatore Ruggieri

Proceedings of the International Conference on Artificial Intelligence and Statistics, 2023

Can We Trust Fair-AI?

Salvatore Ruggieri, José M. Álvarez, Andrea Pugnana, Laura State, Franco Turini

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

A Model-Agnostic Heuristics for Selective Classification.

Andrea Pugnana, Salvatore Ruggieri

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

Topics in Selective Classification.

Andrea Pugnana

Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022

Methods and tools for causal discovery and causal inference.

Ana Rita Nogueira, Andrea Pugnana, Salvatore Ruggieri, Dino Pedreschi, João Gama

WIREs Data Mining Knowl. Discov., 2022