14 citations · 22 across the 5 of their papers we have counts for
5 papers
Measuring the Stability of Process Outcome Predictions in Online Settings
Suhwan Lee, Marco Comuzzi, Xixi Lu +1
Predictive Process Monitoring aims to forecast the future progress of process instances using historical event data. As predictive process monitoring is increasingly applied in onl…
Analyzing Process-Aware Information System Updates Using Digital Twins of Organizations
Gyunam Park, Marco Comuzzi, Wil M. P. van der Aalst
Digital transformation often entails small-scale changes to information systems supporting the execution of business processes. These changes may increase the operational frictions…
Explainable Predictive Process Monitoring: A User Evaluation
Williams Rizzi, Marco Comuzzi, Chiara Di Francescomarino +4
Explainability is motivated by the lack of transparency of black-box Machine Learning approaches, which do not foster trust and acceptance of Machine Learning algorithms. This also…
Online anomaly detection using statistical leverage for streaming business process events
Jonghyeon Ko, Marco Comuzzi
While several techniques for detecting trace-level anomalies in event logs in offline settings have appeared recently in the literature, such techniques are currently lacking for o…
An empirical investigation of different classifiers, encoding and ensemble schemes for next event prediction using business process event logs
Bayu Adhi Tama, Marco Comuzzi, Jonghyeon Ko
There is a growing need for empirical benchmarks that support researchers and practitioners in selecting the best machine learning technique for given prediction tasks. In this pap…