activity
20162022
most citedPredictive Business Process Monitoring with LSTM Neural Networks

527 citations · 719 across the 12 of their papers we have counts for

collaborators

16 papers

cs.AI2022

Generalization in Automated Process Discovery: A Framework based on Event Log Patterns

Daniel Reißner, Abel Armas-Cervantes, Marcello La Rosa

The importance of quality measures in process mining has increased. One of the key quality aspects, generalization, is concerned with measuring the degree of overfitting of a proce…

econ.GN2022

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

Nigel Adams, Adriano Augusto, Michael Davern +1

Banks play an intrinsic role in any modern economy, recycling capital from savers to borrowers. They are heavily regulated and there have been a significant number of well publiciz…

cs.AI2022★ 145 cited

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…

cs.SE2021

Automated Discovery of Process Models with True Concurrency and Inclusive Choices

Adriano Augusto, Marlon Dumas, Marcello La Rosa

Enterprise information systems allow companies to maintain detailed records of their business process executions. These records can be extracted in the form of event logs, which ca…

cs.LG2021

Prescriptive Process Monitoring for Cost-Aware Cycle Time Reduction

Zahra Dasht Bozorgi, Irene Teinemaa, Marlon Dumas +2

Reducing cycle time is a recurrent concern in the field of business process management. Depending on the process, various interventions may be triggered to reduce the cycle time of…

cs.LG2021

A Deep Adversarial Model for Suffix and Remaining Time Prediction of Event Sequences

Farbod Taymouri, Marcello La Rosa, Sarah M. Erfani

Event suffix and remaining time prediction are sequence to sequence learning tasks. They have wide applications in different areas such as economics, digital health, business proce…