3 papers
stat.ME2026
An Interval-Score ROC Curve for Assessment, Calibration and Ensembling of Probabilistic Forecasts
Simone Milanesi, Marco Capelletti, Flavio Bobba +1
Probabilistic forecast evaluation is inherently multi-objective, yet existing proper scoring rules reduce predictive performance to a single scalar value, potentially obscuring the…
stat.AP2023
Correction of Italian under-reporting in the first COVID-19 wave via age-specific deconvolution of hospital admissions
Simone Milanesi, Giuseppe De Nicolao
When the COVID-19 pandemic first emerged in early 2020, healthcare and bureaucratic systems worldwide were caught off guard and largely unprepared to deal with the scale and severi…
math.OC2022
Multi-Objective Linear Ensembles for Robust and Sparse Training of Few-Bit Neural Networks
Ambrogio Maria Bernardelli, Stefano Gualandi, Hoong Chuin Lau +2
Training neural networks (NNs) using combinatorial optimization solvers has gained attention in recent years. In low-data settings, state-of-the-art mixed integer linear programmin…