A Deep Learning Approach for the Performance Estimation of a Stochastic CONWIP Flow-Shop System. - Silvestro Vespoli; Emma Salatiello; Andrea Grassi; Guido Guizzi; Liberatina Carmela Santillo (SoMeT, 2022)

Supply Chain Optimization Through an Ontological Model: Overcoming Information Asymmetry. - Emma Salatiello; Mario Veniero; Guido Guizzi; Andrea Grassi (SoMeT, 2023)

Optimizing Industrial Maintenance Scheduling Through Deep Reinforcement Learning and Simulation Integration. - Maria Grazia Marchesano; Guido Guizzi; Giuseppe Converso; Emma Salatiello; Valentina Popolo (SoMeT, 2024)

Long-sighted dispatching rules for manufacturing scheduling problem in Industry 4.0 hybrid approach. - Emma Salatiello; Silvestro Vespoli; Guido Guizzi; Andrea Grassi (Comput. Ind. Eng., 2024)

Anomaly detection in manufacturing systems with temporal networks and unsupervised machine learning. - Giulio Mattera; Raffaele Mattera; Silvestro Vespoli; Emma Salatiello (Comput. Ind. Eng., 2025)