Marcello La Rosa

AI-augmented Business Process Management Systems: A Research Manifesto

M Dumas, F Fournier, L Limonad, A Marrella, M Montali, JR Rehse, R Accorsi, D Calvanese, G De Giacomo, D Fahland, A Gal, M La Rosa, H Völzer, I Weber

Journal article  |  2023  |  ACM Transactions on Management Information Systems

AI-augmented Business Process Management Systems (ABPMSs) are an emerging class of process-aware information systems, empowered by..

Discovering data transfer routines from user interaction logs

V Leno, A Augusto, M Dumas, M La Rosa, FM Maggi, A Polyvyanyy

Journal article  |  2022  |  Information Systems

Robotic Process Automation (RPA) is a technology to automate routine work such as copying data across applications or filling in d..

Robotic Process Mining

M Dumas, ML Rosa, V Leno, A Polyvyanyy, FM Maggi

Book Chapter  |  2022  |  Lecture Notes in Business Information Processing

User interaction logs allow us to analyze the execution of tasks in a business process at a finer level of granularity than event ..

Measuring Fitness and Precision of Automatically Discovered Process Models: A Principled and Scalable Approach

Adriano Augusto, Raffaele Conforti, Abel Armas-Cervantes, Marlon Dumas, Marcello La Rosa

Journal article  |  2022  |  IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING

Automated process discovery techniques allow us to generate a process model from an event log consisting of a collection of busine..

Why Do Banks Find Business Process Compliance So Challenging? An Australian Case Study

Nigel Adams, Adriano Augusto, Michael Davern, Marcello La Rosa

Report  |  2022

ProLift: Automated Discovery of Causal Treatment Rules From Event Logs (Extended Abstract)

ZD Bozorgi, A Kopõlov, M Dumas, ML Rosa, A Polyvyanyy

Conference Proceedings  |  2022  |  CEUR Workshop Proceedings

ProLift is a Web-based tool that uses causal machine learning, specifically uplift trees, to discover rules for optimizing busines..

Prescriptive Process Monitoring for Cost-Aware Cycle Time Reduction

Zahra Dasht Bozorgi, Irene Teinemaa, Marlon Dumas, Marcello La Rosa, Artem Polyvyanyy

Conference Proceedings  |  2021  |  3rd International Conference on Process Mining

Reducing cycle time is a recurrent concern in the field of business process management. Depending on the process, various interven..

Opportunities and Challenges for Process Mining in Organizations: Results of a Delphi Study

N Martin, DA Fischer, GD Kerpedzhiev, K Goel, SJJ Leemans, M Röglinger, WMP van der Aalst, M Dumas, M La Rosa, MT Wynn

Journal article  |  2021  |  Business and Information Systems Engineering

Process mining is an active research domain and has been applied to understand and improve business processes. While significant r..

Automated Repair of Process Models with Non-Local Constraints Using State-Based Region Theory

Anna Kalenkova, Josep Carmona, Artem Polyvyanyy, Marcello La Rosa

Journal article  |  2021  |  Fundamenta Informaticae

State-of-the-art process discovery methods construct free-choice process models from event logs. Consequently, the constructed mod..

Capturing rich person-centred discharge information: exploring the challenges in developing a new model

Nyree J Taylor, Reeva Lederman, Rachelle Bosua, Marcello La Rosa

Journal article  |  2021  |  INFORMATION TECHNOLOGY & PEOPLE

Purpose: Capture, consumption and use of person-centred information presents challenges for hospitals when operating within the sc..