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Andrea Pugnana
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2020 – today
- 2024
- [j2]Salvatore Lusito, Andrea Pugnana, Riccardo Guidotti:
Solving imbalanced learning with outlier detection and features reduction. Mach. Learn. 113(8): 5273-5330 (2024) - [c6]Daphne Lenders, Andrea Pugnana, Roberto Pellungrini, Toon Calders, Dino Pedreschi, Fosca Giannotti:
Interpretable and Fair Mechanisms for Abstaining Classifiers. ECML/PKDD (7) 2024: 416-433 - [i4]Andrea Pugnana, Lorenzo Perini, Jesse Davis, Salvatore Ruggieri:
Deep Neural Network Benchmarks for Selective Classification. CoRR abs/2401.12708 (2024) - [i3]Filippo Palomba, Andrea Pugnana, José M. Álvarez, Salvatore Ruggieri:
A Causal Framework for Evaluating Deferring Systems. CoRR abs/2405.18902 (2024) - 2023
- [c5]Andrea Pugnana, Salvatore Ruggieri:
A Model-Agnostic Heuristics for Selective Classification. AAAI 2023: 9461-9469 - [c4]Salvatore Ruggieri, José M. Álvarez, Andrea Pugnana, Laura State, Franco Turini:
Can We Trust Fair-AI? AAAI 2023: 15421-15430 - [c3]Andrea Pugnana:
Topics in Selective Classification. AAAI 2023: 16129-16130 - [c2]Andrea Pugnana, Salvatore Ruggieri:
AUC-based Selective Classification. AISTATS 2023: 2494-2514 - [c1]Giuseppe Cianci, Roberto Goglia, Riccardo Guidotti, Matteo Kapllaj, Roberto Mosca, Andrea Pugnana, Franco Ricotti, Salvatore Ruggieri:
Applied Data Science for Leasing Score Prediction. IEEE Big Data 2023: 1687-1696 - [i2]Andrea Pugnana, Carlos Mougan, Dan Saattrup Nielsen:
Model Agnostic Explainable Selective Regression via Uncertainty Estimation. CoRR abs/2311.09145 (2023) - 2022
- [j1]Ana Rita Nogueira, Andrea Pugnana, Salvatore Ruggieri, Dino Pedreschi, João Gama:
Methods and tools for causal discovery and causal inference. WIREs Data Mining Knowl. Discov. 12(2) (2022) - [i1]Andrea Pugnana, Salvatore Ruggieri:
AUC-based Selective Classification. CoRR abs/2210.10703 (2022)
Coauthor Index
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last updated on 2024-10-07 21:23 CEST by the dblp team
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