Jari Peeperkorn

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 17

Top Topics

Nearest Neighbor

Manifold Learning

Top Venues

Publications

Jari Peeperkorn, Seppe vanden Broucke, Jochen De Weerdt
Validation set sampling strategies for predictive process monitoring. Inf. Syst. 121 (2024)
Alexander Stevens, Jari Peeperkorn, Johannes De Smedt, Jochen De Weerdt
Manifold Learning for Adversarial Robustness in Predictive Process Monitoring. ICPM (2023)
Jari Peeperkorn, Seppe vanden Broucke, Jochen De Weerdt
Global conformance checking measures using shallow representation and deep learning. Eng. Appl. Artif. Intell. 123 (Part) (2023)
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
Discovering high-quality process models despite data scarcity. ER (Companion) (2023)
Thais Rodrigues Neubauer, Jari Peeperkorn, Sarajane Marques Peres, Jochen De Weerdt, Marcelo Fantinato
Vector Representation for Business Process: Graph Embedding for Domain Knowledge Integration. ICMLA (2023)
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
Discovering High-Quality Process Models Despite Data Scarcity. CoRR (2023)
Jari Peeperkorn, Seppe vanden Broucke, Jochen De Weerdt
Can recurrent neural networks learn process model structure? J. Intell. Inf. Syst. 61 (1) (2023)
Jarne Vandenabeele, Gilles Vermaut, Jari Peeperkorn, Jochen De Weerdt
Enhancing Stochastic Petri Net-based Remaining Time Prediction using k-Nearest Neighbors. CoRR (2022)
Jari Peeperkorn, Carlos Ortega Vázquez, Alexander Stevens, Johannes De Smedt, Seppe vanden Broucke, Jochen De Weerdt
Outcome-Oriented Predictive Process Monitoring on Positive and Unlabelled Event Logs. ICPM Workshops (2022)
Jarne Vandenabeele, Gilles Vermaut, Jari Peeperkorn, Jochen De Weerdt
Enhancing Stochastic Petri Net-based Remaining Time Prediction using k-Nearest Neighbors. ATAED@Petri Nets (2022)
Jari Peeperkorn, Seppe vanden Broucke, Jochen De Weerdt
Can deep neural networks learn process model structure? An assessment framework and analysis. CoRR (2022)
Jari Peeperkorn, Seppe vanden Broucke, Jochen De Weerdt
Can recurrent neural networks learn process model structure? CoRR (2022)
Alexander Stevens, Johannes De Smedt, Jari Peeperkorn, Jochen De Weerdt
Assessing the Robustness in Predictive Process Monitoring through Adversarial Attacks. ICPM (2022)
Jari Peeperkorn, Seppe vanden Broucke, Jochen De Weerdt
Can Deep Neural Networks Learn Process Model Structure? An Assessment Framework and Analysis. ICPM Workshops (2021)
Alexander Stevens, Johannes De Smedt, Jari Peeperkorn
Quantifying Explainability in Outcome-Oriented Predictive Process Monitoring. ICPM Workshops (2021)
Jari Peeperkorn, Seppe vanden Broucke, Jochen De Weerdt
Supervised Conformance Checking Using Recurrent Neural Network Classifiers. ICPM Workshops (2020)
Jari Peeperkorn, Seppe vanden Broucke, Jochen De Weerdt
Conformance Checking Using Activity and Trace Embeddings. BPM (Forum) (2020)