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Researcher
Jari Peeperkorn
- Disciplines:Machine learning and decision making, Workflow, process and database management, Business information management
Affiliations
- Information Systems Engineering Research Group (LIRIS) (main work address Leuven) (Research unit)
Member
From16 Sep 2019 → Today
Projects
1 - 1 of 1
- Novel Conformance Checking Methods and Validation Strategies for Deep Learning in Process MiningFrom16 Sep 2019 → 19 Oct 2023Funding: BOF - doctoral mandates
Publications
1 - 10 of 12
- Validation set sampling strategies for predictive process monitoring(2024)
Authors: Jari Peeperkorn, Seppe vanden Broucke, Jochen De Weerdt
- Manifold Learning for Adversarial Robustness in Predictive Process Monitoring(2023)
Authors: Alexander Stevens, Jari Peeperkorn, Johannes De Smedt, Jochen De Weerdt
Pages: 17 - 24 - Novel Conformance Checking Methods and Validation Strategies for Deep Learning in Process Mining(2023)
Authors: Jari Peeperkorn, Jochen De Weerdt, Seppe vanden Broucke
- Global conformance checking measures using shallow representation and deep learning(2023)
Authors: Jari Peeperkorn, Seppe vanden Broucke, Jochen De Weerdt
- Outcome-Oriented Predictive Process Monitoring on Positive and Unlabelled Event Logs(2023)
Authors: Jari Peeperkorn, Alexander Stevens, Johannes De Smedt, Seppe vanden Broucke, Jochen De Weerdt
Pages: 255 - 268 - Can recurrent neural networks learn process model structure?(2022)
Authors: Jari Peeperkorn, Seppe vanden Broucke, Jochen De Weerdt
- Enhancing Stochastic Petri Net-based Remaining Time Prediction using k-Nearest Neighbors(2022)
Authors: Jari Peeperkorn, Jochen De Weerdt
Pages: 9 - 24 - Assessing the Robustness in Predictive Process Monitoring through Adversarial Attacks(2022)
Authors: Alexander Stevens, Johannes De Smedt, Jari Peeperkorn, Jochen De Weerdt
Pages: 56 - 63Number of pages: 8 - Can Deep Neural Networks Learn Process Model Structure? An Assessment Framework and Analysis(2022)
Authors: Jari Peeperkorn, Seppe vanden Broucke, Jochen De Weerdt
Pages: 127 - 139 - Quantifying Explainability in Outcome-Oriented Predictive Process Monitoring(2022)
Authors: Alexander Stevens, Johannes De Smedt, Jari Peeperkorn
Pages: 194 - 206Number of pages: 13