A unified surrogate-based scheme for black-box and preference-based optimization. - Davide Previtali; Mirko Mazzoleni; Antonio Ferramosca; Fabio Previdi (CoRR, 2022)

GLISp-r: a preference-based optimization algorithm with convergence guarantees. - Davide Previtali; Mirko Mazzoleni; Antonio Ferramosca; Fabio Previdi (Comput. Optim. Appl., 2023)

Towards energy-efficient shrink tunnels by means of Economic Model Predictive Control. - Leandro Pitturelli; Davide Previtali; Antonio Ferramosca; Fabio Previdi (CASE, 2024)

Integrating Biological-Informed Recurrent Neural Networks for Glucose-Insulin Dynamics Modeling. - Stefano De Carli; Nicola Licini; Davide Previtali; Fabio Previdi; Antonio Ferramosca (CoRR, 2025)

A virtual sensor fusion approach for state of charge estimation of lithium-ion cells. - Davide Previtali; Daniele Masti; Mirko Mazzoleni; Fabio Previdi (CoRR, 2025)