On the Evaluation of Sequential Machine Learning for Network Intrusion Detection. - Andrea Corsini; Shanchieh Jay Yang; Giovanni Apruzzese (ARES, 2021)

A Weighted Loss Function to Predict Control Parameters for Supercontinuum Generation Via Neural Networks. - Diego Stucchi; Andrea Corsini; Goëry Genty; Giacomo Boracchi; Alessandro Foi (MLSP, 2021)

Learning the Quality of Machine Permutations in Job Shop Scheduling. - Andrea Corsini; Simone Calderara; Mauro Dell'Amico (IEEE Access, 2022)

Are Existing Out-Of-Distribution Techniques Suitable for Network Intrusion Detection? - Andrea Corsini; Shanchieh Jay Yang (CNS, 2023)

Combining Heuristics and Constraint Programming for the Parallel Drone Scheduling Vehicle Routing Problem with Collective Drones. - Roberto Montemanni; Mauro Dell'Amico; Andrea Corsini (MIC (1), 2024)

Self-Labeling the Job Shop Scheduling Problem. - Andrea Corsini; Angelo Porrello; Simone Calderara; Mauro Dell'Amico (NeurIPS, 2024)

Parallel drone scheduling vehicle routing problems with collective drones. - Roberto Montemanni; Mauro Dell'Amico; Andrea Corsini (Comput. Oper. Res., 2024)

Spectra of Variance-Stabilized Correlated Noise: Modeling and Efficient Computation. - Andrea Corsini; Alessandro Foi (SSP, 2025)

Lower and upper bounds for scheduling a real-life assembly problem with precedences and resource constraints. - Dario Bezzi; Andrea Corsini; Mauro Dell'Amico (Comput. Oper. Res., 2025)