Ghent University Academic Bibliography

Your filters: cql: author="Peeperkorn, Jari" or (type any "bookEditor issueEditor" and editor="Peeperkorn, Jari")

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Validation set sampling strategies for predictive process monitoring

Jari Peeperkorn, Seppe vanden Broucke (UGent) and Jochen De Weerdt

(2024) INFORMATION SYSTEMS. 121.
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Global conformance checking measures using shallow representation and deep learning

Jari Peeperkorn, Seppe vanden Broucke (UGent) and Jochen De Weerdt

(2023) ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE. 123(Part B).
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Can recurrent neural networks learn process model structure?

Jari Peeperkorn, Seppe vanden Broucke (UGent) and Jochen De Weerdt

(2023) JOURNAL OF INTELLIGENT INFORMATION SYSTEMS. 61(1). p.27-51
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Outcome-oriented predictive process monitoring on positive and unlabelled event logs

Jari Peeperkorn, Carlos Ortega Vázquez, Alexander Stevens, Johannes De Smedt, Seppe vanden Broucke (UGent) and Jochen De Weerdt

(2023) Process Mining Workshops, ICPM 2022 International Workshops, Revised Selected Papers. In Lecture notes in business information processing 468. p.255-268
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Can deep neural networks learn process model structure? An assessment framework and analysis

Jari Peeperkorn, Seppe vanden Broucke (UGent) and Jochen De Weerdt

(2022) PROCESS MINING WORKSHOPS, ICPM 2021. In Lecture Notes in Business Information Processing 433. p.127-139
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Supervised conformance checking using recurrent neural network classifiers

Jari Peeperkorn, Seppe vanden Broucke (UGent) and Jochen De Weerdt

(2021) PROCESS MINING WORKSHOPS, ICPM 2020 INTERNATIONAL WORKSHOPS. In Lecture notes in business information processing 406. p.175-187
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Conformance checking using activity and trace embeddings

Jari Peeperkorn, Seppe vanden Broucke (UGent) and Jochen De Weerdt

(2020) Business process management forum, Proceedings. In Lecture notes in business information processing 392. p.105-121

Academic Bibliography

Validation set sampling strategies for predictive process monitoring

Global conformance checking measures using shallow representation and deep learning

Can recurrent neural networks learn process model structure?

Outcome-oriented predictive process monitoring on positive and unlabelled event logs

Can deep neural networks learn process model structure? An assessment framework and analysis

Supervised conformance checking using recurrent neural network classifiers

Conformance checking using activity and trace embeddings

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