Learning SDN traffic flow accurate models to enable queue bandwidth dynamic optimization. - Enrico Reticcioli; Giovanni Domenico Di Girolamo; Francesco Smarra; Alessio Carmenini; Alessandro D'Innocenzo; Fabio Graziosi (EuCNC, 2020)

Learning Models for Seismic-Induced Vibrations Optimal Control in Structures via Random Forests. - Francesco Smarra; Giovanni Domenico Di Girolamo; Vincenzo Gattulli; Fabio Graziosi; Alessandro D'Innocenzo (J. Optim. Theory Appl., 2020)

A Neural Network Approach for Efficient Finite Control Set MPC of Cascaded H-Bridge STATCOM. - Francesco Simonetti; Giovanni Domenico Di Girolamo; Alessandro D'Innocenzo; Carlo Cecati (IECON, 2021)

A Comparison of Classical Identification and Learning-Based Techniques for Cyber-Physical Systems. - Vittorio De Iuliis; Giovanni Domenico Di Girolamo; Francesco Smarra; Alessandro D'Innocenzo (MED, 2021)

Machine Learning-based Approaches Comparison for Netfiix/DAZN Streaming and Real Traffic Prediction. - Enrico Reticcioli; Giovanni Domenico Di Girolamo; Cristhian Di Carlo; Francesco Smarra; Alessandro D'Innocenzo (GLOBECOM, 2022)

Modeling and Control of Priority Queueing in Software Defined Networks via Machine Learning. - Enrico Reticcioli; Giovanni Domenico Di Girolamo; Francesco Smarra; Angelo Torzi; Fabio Graziosi; Alessandro D'Innocenzo (IEEE Access, 2022)