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Stephen Pauwels
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Year
An Anomaly Detection Technique for Business Processes based on Extended Dynamic Bayesian Networks
S Pauwels, T Calders
SAC, 2019
142019
Detecting and explaining drifts in yearly grant applications
S Pauwels, T Calders
arXiv preprint arXiv:1809.05650, 2018
102018
Bayesian network based predictions of business processes
S Pauwels, T Calders
International Conference on Business Process Management, 159-175, 2020
82020
Detecting anomalies in hybrid business process logs
S Pauwels, T Calders
ACM SIGAPP Applied Computing Review 19 (2), 18-30, 2019
82019
Mining multi-dimensional complex log data
S Pauwels, T Calders
Proceedings of Benelearn 2016, 2016
42016
Interactive and manual construction of classification trees
S Pauwels, S Moens, B Goethals
BENELEARN 2014 81, 2014
42014
Incremental Predictive Process Monitoring: The Next Activity Case
S Pauwels, T Calders
International Conference on Business Process Management, 123-140, 2021
12021
Applying Machine Learning in Business Process Monitoring
S Pauwels
University of Antwerp, 2022
2022
ACD2: a tool to interactively explore Business Process Logs
S Pauwels, T Calders
CEUR workshop proceedings, 129-133, 2019
2019
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Articles 1–9