1 citations · 2 across the 3 of their papers we have counts for
3 papers
cs.LG2023
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…
cs.LG2021★ 1 cited
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…
cs.LG2020★ 1 cited
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…