3 papers
math.OC2025
Neural networks for multi-horizon stochastic programming
Hongyu Zhang, Gabriele Sormani, Enza Messina +2
This paper proposes a machine-learning-based solution approach for solving multi-horizon stochastic programs. The approach embeds a deep learning neural network into a multi-horizo…
math.OC2025
A Stochastic Electric Vehicle Routing Problem under Uncertain Energy Consumption
Andrea Spinelli, Dario Bezzi, Ola Jabali +1
The increasing adoption of Electric Vehicles (EVs) for service and goods distribution operations has led to the emergence of Electric Vehicle Routing Problems (EVRPs), a class of v…
q-bio.QM2025
A Robust Support Vector Machine Approach for Raman COVID-19 Data Classification
Marco Piazza, Andrea Spinelli, Francesca Maggioni +2
Recent advances in healthcare technologies have led to the availability of large amounts of biological samples across several techniques and applications. In particular, in the las…