Search Results for author: Marco Comuzzi

Found 5 papers, 2 papers with code

Measuring the Stability of Process Outcome Predictions in Online Settings

1 code implementation13 Oct 2023 Suhwan Lee, Marco Comuzzi, Xixi Lu, Hajo A. Reijers

This paper proposes an evaluation framework for assessing the stability of models for online predictive process monitoring.

Decision Making Predictive Process Monitoring +1

Analyzing Process-Aware Information System Updates Using Digital Twins of Organizations

no code implementations24 Mar 2022 Gyunam Park, Marco Comuzzi, Wil M. P. van der Aalst

In this paper, we use the recently developed Digital Twins of Organizations (DTOs) to assess the impact of (process-aware) information systems updates.

Explainable Predictive Process Monitoring: A User Evaluation

no code implementations15 Feb 2022 Williams Rizzi, Marco Comuzzi, Chiara Di Francescomarino, Chiara Ghidini, Suhwan Lee, Fabrizio Maria Maggi, Alexander Nolte

The results of the user evaluation show that, although explanation plots are overall understandable and useful for decision making tasks for Business Process Management users -- with and without experience in Machine Learning -- differences exist in the comprehension and usage of different plots, as well as in the way users with different Machine Learning expertise understand and use them.

BIG-bench Machine Learning Decision Making +2

An empirical investigation of different classifiers, encoding and ensemble schemes for next event prediction using business process event logs

no code implementations24 Aug 2020 Bayu Adhi Tama, Marco Comuzzi, Jonghyeon Ko

While there is a general understanding that ensembles perform well in predictive monitoring of business processes, next event prediction is a task for which no other benchmarks involving ensembles are available.

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