Jari Peeperkorn

According to our database, Jari Peeperkorn authored at least 14 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Validation set sampling strategies for predictive process monitoring.

Jari Peeperkorn, Seppe vanden Broucke, Jochen De Weerdt

Inf. Syst., March, 2024

Dynamic and Scalable Data Preparation for Object-Centric Process Mining.

Lien Bosmans, Jari Peeperkorn, Alexandre Goossens, Giovanni Lugaresi, Johannes De Smedt, Jochen De Weerdt

CoRR, 2024

2023

Can recurrent neural networks learn process model structure?

Jari Peeperkorn, Seppe vanden Broucke, Jochen De Weerdt

J. Intell. Inf. Syst., August, 2023

Global conformance checking measures using shallow representation and deep learning.

Jari Peeperkorn, Seppe vanden Broucke, Jochen De Weerdt

Eng. Appl. Artif. Intell., 2023

Manifold Learning for Adversarial Robustness in Predictive Process Monitoring.

Alexander Stevens, Jari Peeperkorn, Johannes De Smedt, Jochen De Weerdt

Proceedings of the 5th International Conference on Process Mining, 2023

Vector Representation for Business Process: Graph Embedding for Domain Knowledge Integration.

Thais Rodrigues Neubauer, Jari Peeperkorn, Sarajane Marques Peres, Jochen De Weerdt, Marcelo Fantinato

Proceedings of the International Conference on Machine Learning and Applications, 2023

Discovering high-quality process models despite data scarcity.

Jan Niklas Adams, Jari Peeperkorn, Tobias Brockhoff, Isabelle Terrier, Heiko Göhner, Merih Seran Uysal, Seppe vanden Broucke, Jochen De Weerdt, Wil M. P. van der Aalst

Proceedings of the Companion Proceedings of the 42nd International Conference on Conceptual Modeling: ER Forum, 2023

2022

Assessing the Robustness in Predictive Process Monitoring through Adversarial Attacks.

Alexander Stevens, Johannes De Smedt, Jari Peeperkorn, Jochen De Weerdt

Proceedings of the 4th International Conference on Process Mining, 2022

Outcome-Oriented Predictive Process Monitoring on Positive and Unlabelled Event Logs.

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

Proceedings of the Process Mining Workshops, 2022

Enhancing Stochastic Petri Net-based Remaining Time Prediction using k-Nearest Neighbors.

Jarne Vandenabeele, Gilles Vermaut, Jari Peeperkorn, Jochen De Weerdt

Proceedings of the Workshop on Algorithms & Theories for the Analysis of Event Data co-located with the 43rd International Conference on Application and Theory of Petri Nets and Concurrency (Petri Nets 2022), 2022

2021

Quantifying Explainability in Outcome-Oriented Predictive Process Monitoring.

Alexander Stevens, Johannes De Smedt, Jari Peeperkorn

Proceedings of the Process Mining Workshops - ICPM 2021 International Workshops, Eindhoven, The Netherlands, October 31, 2021

Can Deep Neural Networks Learn Process Model Structure? An Assessment Framework and Analysis.

Jari Peeperkorn, Seppe vanden Broucke, Jochen De Weerdt

Proceedings of the Process Mining Workshops - ICPM 2021 International Workshops, Eindhoven, The Netherlands, October 31, 2021

2020

Supervised Conformance Checking Using Recurrent Neural Network Classifiers.

Jari Peeperkorn, Seppe vanden Broucke, Jochen De Weerdt

Proceedings of the Process Mining Workshops, 2020

Conformance Checking Using Activity and Trace Embeddings.

Jari Peeperkorn, Seppe vanden Broucke, Jochen De Weerdt

Proceedings of the Business Process Management Forum, 2020