most citedProcess mining-driven modeling and simulation to enhance fault diagnosis in cyber-physical systems

5 citations · 5 across the 7 of their papers we have counts for

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cs.LG2026

Adaptive Identification and Modeling of Clinical Pathways with Process Mining

Francesco Vitale, Nicola Mazzocca

Clinical pathways are specialized healthcare plans that model patient treatment procedures. They are developed to provide criteria-based progression and standardize patient treatme…

cs.LG2026

Network Traffic Analysis with Process Mining: The UPSIDE Case Study

Francesco Vitale, Paolo Palmiero, Massimiliano Rak +1

Online gaming is a popular activity involving the adoption of complex systems and network infrastructures. The relevance of gaming, which generates large amounts of market revenue,…

cs.LG20255 cited

Process mining-driven modeling and simulation to enhance fault diagnosis in cyber-physical systems

Francesco Vitale, Nicola Dall'Ora, Sebastiano Gaiardelli +3

Cyber-Physical Systems (CPSs) tightly interconnect digital and physical operations within production environments, enabling real-time monitoring, control, optimization, and autonom…

cs.LG2025

Run-Time Monitoring of ERTMS/ETCS Control Flow by Process Mining

Francesco Vitale, Tommaso Zoppi, Francesco Flammini +1

Ensuring the resilience of computer-based railways is increasingly crucial to account for uncertainties and changes due to the growing complexity and criticality of those systems.…

cs.LG2025

Control-flow anomaly detection by process mining-based feature extraction and dimensionality reduction

Francesco Vitale, Marco Pegoraro, Wil M. P. van der Aalst +1

The business processes of organizations may deviate from normal control flow due to disruptive anomalies, including unknown, skipped, and wrongly-ordered activities. To identify th…