Jari Peeperkorn

31 papers B 2C 1Journal 17Unranked 11
YearRankTypeTitle / Venue / Authors
2026 J jnl
Correction: A benchmarking study on process model forecasting: univariate vs. multivariate approaches.
Process Sci.
Yongbo Yu, Jari Peeperkorn, Johannes De Smedt, Jochen De Weerdt
2026 J jnl
Model-driven stochastic trace clustering.
Inf. Syst.
Jari Peeperkorn, Johannes De Smedt, Jochen De Weerdt
2025 J jnl
A benchmarking study on process model forecasting: univariate vs. multivariate approaches.
Process Sci.
Yongbo Yu, Jari Peeperkorn, Johannes De Smedt, Jochen De Weerdt
2025 — conf
Achieving Group Fairness Through Independence in Predictive Process Monitoring.
CAiSE (1)
Jari Peeperkorn, Simon De Vos
2025 J jnl
Domain Adaptation of LLMs for Process Data.
CoRR
Rafael Seidi Oyamada, Jari Peeperkorn, Jochen De Weerdt, Johannes De Smedt
2025 — conf
Enhancing Remaining Time Prediction in Business Processes through Graph Embedding.
HICSS
Thais Rodrigues Neubauer, Jari Peeperkorn, Jochen De Weerdt, Marcelo Fantinato, Sarajane Marques Peres
2025 J jnl
Model-driven Stochastic Trace Clustering.
CoRR
Jari Peeperkorn, Johannes De Smedt, Jochen De Weerdt
2025 — conf
PyStack't: Real-Life Data for Object-Centric Process Mining.
BPM (Demos / Resources Forum)
Lien Bosmans, Jari Peeperkorn, Johannes De Smedt
2025 J jnl
Time Series Foundation Models for Process Model Forecasting.
CoRR
Yongbo Yu, Jari Peeperkorn, Johannes De Smedt, Jochen De Weerdt
2024 J jnl
Achieving Group Fairness through Independence in Predictive Process Monitoring.
CoRR
Jari Peeperkorn, Simon De Vos
2024 J jnl
Dynamic and Scalable Data Preparation for Object-Centric Process Mining.
CoRR
Lien Bosmans, Jari Peeperkorn, Alexandre Goossens, Giovanni Lugaresi, Johannes De Smedt, Jochen De Weerdt
2024 J jnl
Generating Realistic Adversarial Examples for Business Processes using Variational Autoencoders.
CoRR
Alexander Stevens, Jari Peeperkorn, Johannes De Smedt, Jochen De Weerdt
2024 — conf
Multivariate Approaches for Process Model Forecasting.
ICPM Workshops
Yongbo Yu, Jari Peeperkorn, Johannes De Smedt, Jochen De Weerdt
2024 J jnl
Towards a Simple and Extensible Standard for Object-Centric Event Data (OCED) - Core Model, Design Space, and Lessons Learned.
CoRR
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
2024 J jnl
Validation set sampling strategies for predictive process monitoring.
Inf. Syst.
Jari Peeperkorn, Seppe vanden Broucke, Jochen De Weerdt
2023 J jnl
Can recurrent neural networks learn process model structure?
J. Intell. Inf. Syst.
Jari Peeperkorn, Seppe vanden Broucke, Jochen De Weerdt
2023 J jnl
Discovering High-Quality Process Models Despite Data Scarcity.
CoRR
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
2023 — conf
Discovering high-quality process models despite data scarcity.
ER (Companion)
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
2023 J jnl
Global conformance checking measures using shallow representation and deep learning.
Eng. Appl. Artif. Intell.
Jari Peeperkorn, Seppe vanden Broucke, Jochen De Weerdt
2023 B conf
Manifold Learning for Adversarial Robustness in Predictive Process Monitoring.
ICPM
Alexander Stevens, Jari Peeperkorn, Johannes De Smedt, Jochen De Weerdt
2023 C conf
Vector Representation for Business Process: Graph Embedding for Domain Knowledge Integration.
ICMLA
Thais Rodrigues Neubauer, Jari Peeperkorn, Sarajane Marques Peres, Jochen De Weerdt, Marcelo Fantinato
2022 B conf
Assessing the Robustness in Predictive Process Monitoring through Adversarial Attacks.
ICPM
Alexander Stevens, Johannes De Smedt, Jari Peeperkorn, Jochen De Weerdt
2022 J jnl
Can deep neural networks learn process model structure? An assessment framework and analysis.
CoRR
Jari Peeperkorn, Seppe vanden Broucke, Jochen De Weerdt
2022 J jnl
Can recurrent neural networks learn process model structure?
CoRR
Jari Peeperkorn, Seppe vanden Broucke, Jochen De Weerdt
2022 — conf
Enhancing Stochastic Petri Net-based Remaining Time Prediction using k-Nearest Neighbors.
ATAED@Petri Nets
Jarne Vandenabeele, Gilles Vermaut, Jari Peeperkorn, Jochen De Weerdt
2022 J jnl
Enhancing Stochastic Petri Net-based Remaining Time Prediction using k-Nearest Neighbors.
CoRR
Jarne Vandenabeele, Gilles Vermaut, Jari Peeperkorn, Jochen De Weerdt
2022 — conf
Outcome-Oriented Predictive Process Monitoring on Positive and Unlabelled Event Logs.
ICPM Workshops
Jari Peeperkorn, Carlos Ortega Vázquez, Alexander Stevens, Johannes De Smedt, Seppe vanden Broucke, Jochen De Weerdt
2021 — conf
Can Deep Neural Networks Learn Process Model Structure? An Assessment Framework and Analysis.
ICPM Workshops
Jari Peeperkorn, Seppe vanden Broucke, Jochen De Weerdt
2021 — conf
Quantifying Explainability in Outcome-Oriented Predictive Process Monitoring.
ICPM Workshops
Alexander Stevens, Johannes De Smedt, Jari Peeperkorn
2020 — conf
Conformance Checking Using Activity and Trace Embeddings.
BPM (Forum)
Jari Peeperkorn, Seppe vanden Broucke, Jochen De Weerdt
2020 — conf
Supervised Conformance Checking Using Recurrent Neural Network Classifiers.
ICPM Workshops
Jari Peeperkorn, Seppe vanden Broucke, Jochen De Weerdt