Jari Peeperkorn

According to our database, Jari Peeperkorn authored at least 25 papers between 2020 and 2026.

Collaborative distances:

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

2026

Correction: A benchmarking study on process model forecasting: univariate vs. multivariate approaches.

Yongbo Yu, Jari Peeperkorn, Johannes De Smedt, Jochen De Weerdt

Process Sci., December, 2026

Model-driven stochastic trace clustering.

Jari Peeperkorn, Johannes De Smedt, Jochen De Weerdt

Inf. Syst., 2026

Time Series Foundation Models for Process Model Forecasting.

Yongbo Yu, Jari Peeperkorn, Johannes De Smedt, Jochen De Weerdt

Proceedings of the Advanced Information Systems Engineering, 2026

2025

Domain Adaptation of LLMs for Process Data.

Rafael Seidi Oyamada, Jari Peeperkorn, Jochen De Weerdt, Johannes De Smedt

CoRR, September, 2025

A benchmarking study on process model forecasting: univariate vs. multivariate approaches.

Yongbo Yu, Jari Peeperkorn, Johannes De Smedt, Jochen De Weerdt

Process Sci., 2025

Enhancing Remaining Time Prediction in Business Processes through Graph Embedding.

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

Proceedings of the 58th Hawaii International Conference on System Sciences, 2025

Achieving Group Fairness Through Independence in Predictive Process Monitoring.

Jari Peeperkorn, Simon De Vos

Proceedings of the Advanced Information Systems Engineering, 2025

PyStack't: Real-Life Data for Object-Centric Process Mining.

Lien Bosmans, Jari Peeperkorn, Johannes De Smedt

Proceedings of the Joint Proceedings of the Best Dissertation Award, 2025

2024

Validation set sampling strategies for predictive process monitoring.

Jari Peeperkorn, Seppe vanden Broucke, Jochen De Weerdt

Inf. Syst., March, 2024

Generating Realistic Adversarial Examples for Business Processes using Variational Autoencoders.

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

CoRR, 2024

Towards a Simple and Extensible Standard for Object-Centric Event Data (OCED) - Core Model, Design Space, and Lessons Learned.

Dirk Fahland, Marco Montali, Julian Lebherz, Wil M. P. van der Aalst, Maarten van Asseldonk, Peter Blank, Lien Bosmans, Marcus Brenscheidt, Claudio Di Ciccio, Andrea Delgado, Daniel Calegari, Jari Peeperkorn, Eric Verbeek, Lotte Vugs, Moe Thandar Wynn

CoRR, 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

Multivariate Approaches for Process Model Forecasting.

Yongbo Yu, Jari Peeperkorn, Johannes De Smedt, Jochen De Weerdt

Proceedings of the Process Mining Workshops, 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