Martin Käppel

According to our database, Martin Käppel authored at least 17 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Recent Advances in Data-Driven Business Process Management.

Lars Ackermann, Martin Käppel, Laura Marcus, Linda Moder, Sebastian Dunzer, Markus Hornsteiner, Annina Liessmann, Yorck Zisgen, Philip Empl, Lukas-Valentin Herm, Nicolas Neis, Julian Neuberger, Leo Poss, Myriam Schaschek, Sven Weinzierl, Niklas Wördehoff, Stefan Jablonski, Agnes Koschmider, Wolfgang Kratsch, Martin Matzner, Stefanie Rinderle-Ma, Maximilian Röglinger, Stefan Schönig, Axel Winkelmann

CoRR, 2024

Attention Please: What Transformer Models Really Learn for Process Prediction.

Martin Käppel, Lars Ackermann, Stefan Jablonski, Simon Härtl

Proceedings of the Business Process Management - 22nd International Conference, 2024

2023

Correction: Automaton-based comparison of Declare process models.

Nicolai Schützenmeier, Martin Käppel, Lars Ackermann, Stefan Jablonski, Sebastian Petter

Softw. Syst. Model., April, 2023

Automaton-based comparison of Declare process models.

Nicolai Schützenmeier, Martin Käppel, Lars Ackermann, Stefan Jablonski, Sebastian Petter

Softw. Syst. Model., April, 2023

Comparing the Expressiveness of Imperative and Declarative Process Models.

Nicolai Schützenmeier, Stefan Jablonski, Martin Käppel, Lars Ackermann

Proceedings of the Model-Driven Organizational and Business Agility, 2023

Scenario-Based Model Checking of Declarative Process Models.

Nicolai Schützenmeier, Martin Käppel, Myriel Fichtner, Stefan Jablonski

Proceedings of the 25th International Conference on Enterprise Information Systems, 2023

Model-Agnostic Event Log Augmentation for Predictive Process Monitoring.

Martin Käppel, Stefan Jablonski

Proceedings of the Advanced Information Systems Engineering, 2023

Bridging Research Fields: An Empirical Study on Joint, Neural Relation Extraction Techniques.

Lars Ackermann, Julian Neuberger, Martin Käppel, Stefan Jablonski

Proceedings of the Advanced Information Systems Engineering, 2023

2022

Deviance Analysis by Means of Redescription Mining.

Martin Käppel, Engjëll Ahmeti, Stefan Jablonski

Proceedings of the Enterprise, Business-Process and Information Systems Modeling, 2022

2021

Language-independent look-ahead for checking multi-perspective declarative process models.

Martin Käppel, Lars Ackermann, Stefan Schönig, Stefan Jablonski

Softw. Syst. Model., 2021

Leveraging Small Sample Learning for Business Process Management.

Martin Käppel, Stefan Schönig, Stefan Jablonski

Inf. Softw. Technol., 2021

Evaluating Predictive Business Process Monitoring Approaches on Small Event Logs.

Martin Käppel, Stefan Jablonski, Stefan Schönig

Proceedings of the Quality of Information and Communications Technology, 2021

Upper-Bounded Model Checking for Declarative Process Models.

Nicolai Schützenmeier, Martin Käppel, Sebastian Petter, Stefan Jablonski

Proceedings of the Practice of Enterprise Modeling, 2021

Cost-Sensitive Predictive Business Process Monitoring.

Martin Käppel, Stefan Jablonski, Stefan Schönig

Proceedings of the New Trends in Database and Information Systems, 2021

2019

A Comparative Study for the Selection of Machine Learning Algorithms based on Descriptive Parameters.

Chettan Kumar, Martin Käppel, Nicolai Schützenmeier, Philipp Eisenhuth, Stefan Jablonski

Proceedings of the 8th International Conference on Data Science, 2019

Detection of Declarative Process Constraints in LTL Formulas.

Nicolai Schützenmeier, Martin Käppel, Sebastian Petter, Stefan Schönig, Stefan Jablonski

Proceedings of the Enterprise and Organizational Modeling and Simulation, 2019

Logic Based Look-Ahead for the Execution of Multi-perspective Declarative Processes.

Martin Käppel, Nicolai Schützenmeier, Stefan Schönig, Lars Ackermann, Stefan Jablonski

Proceedings of the Enterprise, Business-Process and Information Systems Modeling, 2019