3 citations · 5 across the 4 of their papers we have counts for
5 papers
Bounded-Abstention Multi-horizon Time-series Forecasting
Luca Stradiotti, Laurens Devos, Anna Monreale +2
Multi-horizon time-series forecasting involves simultaneously making predictions for a consecutive sequence of subsequent time steps. This task arises in many application domains,…
Bounded-Abstention Pairwise Learning to Rank
Antonio Ferrara, Andrea Pugnana, Francesco Bonchi +1
Ranking systems influence decision-making in high-stakes domains like health, education, and employment, where they can have substantial economic and social impacts. This makes the…
A Causal Framework for Evaluating Deferring Systems
Filippo Palomba, Andrea Pugnana, José Manuel Alvarez +1
Deferring systems extend supervised Machine Learning (ML) models with the possibility to defer predictions to human experts. However, evaluating the impact of a deferring strategy…
Deep Neural Network Benchmarks for Selective Classification
Andrea Pugnana, Lorenzo Perini, Jesse Davis +1
With the increasing deployment of machine learning models in many socially sensitive tasks, there is a growing demand for reliable and trustworthy predictions. One way to accomplis…
AUC-based Selective Classification
Andrea Pugnana, Salvatore Ruggieri
Selective classification (or classification with a reject option) pairs a classifier with a selection function to determine whether or not a prediction should be accepted. This fra…