145 citations · 190 across the 8 of their papers we have counts for
9 papers
ContinuumConductor : Decentralized Process Mining on the Edge-Cloud Continuum
Hendrik Reiter, Janick Edinger, Martin Kabierski +10
Process mining traditionally assumes centralized event data collection and analysis. However, modern Industrial Internet of Things systems increasingly operate over distributed, re…
AI-Augmented Business Process Management Systems: A Research Manifesto
Marlon Dumas, Fabiana Fournier, Lior Limonad +11
AI-Augmented Business Process Management Systems (ABPMSs) are an emerging class of process-aware information systems, empowered by trustworthy AI technology. An ABPMS enhances the…
Towards Intelligent Robotic Process Automation for BPMers
Simone Agostinelli, Andrea Marrella, Massimo Mecella
Robotic Process Automation (RPA) is a fast-emerging automation technology that sits between the fields of Business Process Management (BPM) and Artificial Intelligence (AI), and al…
SmartPM: Automatic Adaptation of Dynamic Processes at Run-Time
Andrea Marrella
The research activity outlined in this PhD thesis is devoted to define a general approach, a concrete architecture and a prototype Process Management System (PMS) for the automated…
The TESTMED Project Experience. Process-aware Enactment of Clinical Guidelines through Multimodal Interfaces
Andrea Marrella, Massimo Mecella, Mahmoud Sharf +1
Healthcare is one of the largest business segments in the world and is a critical area for future growth. In order to ensure efficient access to medical and patient-related informa…
A User Evaluation of Automated Process Discovery Algorithms
Fabrizio Maria Maggi, Andrea Marrella, Fredrik Milani +2
Process mining methods allow analysts to use logs of historical executions of business processes in order to gain knowledge about the actual behavior of these processes. One of the…