Martin Käppel

28 papers A 4B 1C 1Misc 2Journal 13Unranked 7
YearRankTypeTitle / Venue / Authors
2026 J jnl
Improving next process activity prediction with scarce event log data using data augmentation with large language models.
Inf. Syst.
Martin Käppel, Sven Weinzierl, Lars Ackermann, Martin Matzner, Stefan Jablonski
2025 J jnl
A Human-In-The-Loop Approach for Improving Fairness in Predictive Business Process Monitoring.
CoRR
Martin Käppel, Julian Neuberger, Felix Möhrlein, Sven Weinzierl, Martin Matzner, Stefan Jablonski
2025 A conf
A Human-in-the-Loop Approach for Improving Fairness in Predictive Business Process Monitoring.
BPM
Martin Käppel, Julian Neuberger, Felix Möhrlein, Sven Weinzierl, Martin Matzner, Stefan Jablonski
2025 J jnl
Explaining transformer-based next activity prediction by using attention scores.
Process Sci.
Martin Käppel, Lars Ackermann, Stefan Jablonski, Simon Härtl
2025 J jnl
FairLoop: Software Support for Human-Centric Fairness in Predictive Business Process Monitoring.
CoRR
Felix Möhrlein, Martin Käppel, Julian Neuberger, Sven Weinzierl, Lars Ackermann, Martin Matzner, Stefan Jablonski
2025 — conf
FairLoop: Software Support for Human‑Centric Fairness in Predictive Business Process Monitoring.
BPM (Demos / Resources Forum)
Felix Möhrlein, Martin Käppel, Julian Neuberger, Sven Weinzierl, Lars Ackermann, Martin Matzner, Stefan Jablonski
2025 J jnl
From Source to Target: Leveraging Transfer Learning for Predictive Process Monitoring in Organizations.
CoRR
Sven Weinzierl, Sandra Zilker, Annina Liessmann, Martin Käppel, Weixin Wang, Martin Matzner
2024 A conf
Attention Please: What Transformer Models Really Learn for Process Prediction.
BPM
Martin Käppel, Lars Ackermann, Stefan Jablonski, Simon Härtl
2024 J jnl
Attention Please: What Transformer Models Really Learn for Process Prediction.
CoRR
Martin Käppel, Lars Ackermann, Stefan Jablonski, Simon Härtl
2024 J jnl
Recent Advances in Data-Driven Business Process Management.
CoRR
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
2024 J jnl
Redescription mining-based business process deviance analysis.
Softw. Syst. Model.
Engjëll Ahmeti, Martin Käppel, Stefan Jablonski
2024 B conf
TeaPie: A Tool for Efficient Annotation of Process Information Extraction Data.
CoopIS
Julian Neuberger, Jannic Herrmann, Martin Käppel, Han van der Aa, Stefan Jablonski
2023 J jnl
Automaton-based comparison of Declare process models.
Softw. Syst. Model.
Nicolai Schützenmeier, Martin Käppel, Lars Ackermann, Stefan Jablonski, Sebastian Petter
2023 A conf
Bridging Research Fields: An Empirical Study on Joint, Neural Relation Extraction Techniques.
CAiSE
Lars Ackermann, Julian Neuberger, Martin Käppel, Stefan Jablonski
2023 — conf
Comparing the Expressiveness of Imperative and Declarative Process Models.
MOBA
Nicolai Schützenmeier, Stefan Jablonski, Martin Käppel, Lars Ackermann
2023 J jnl
Correction: Automaton-based comparison of Declare process models.
Softw. Syst. Model.
Nicolai Schützenmeier, Martin Käppel, Lars Ackermann, Stefan Jablonski, Sebastian Petter
2023 A conf
Model-Agnostic Event Log Augmentation for Predictive Process Monitoring.
CAiSE
Martin Käppel, Stefan Jablonski
2023 — conf
Scenario-Based Model Checking of Declarative Process Models.
ICEIS (2)
Nicolai Schützenmeier, Martin Käppel, Myriel Fichtner, Stefan Jablonski
2022 — conf
Deviance Analysis by Means of Redescription Mining.
BPMDS/EMMSAD@CAiSE
Martin Käppel, Engjëll Ahmeti, Stefan Jablonski
2021 — conf
Cost-Sensitive Predictive Business Process Monitoring.
ADBIS (Short Papers)
Martin Käppel, Stefan Jablonski, Stefan Schönig
2021 Misc conf
Evaluating Predictive Business Process Monitoring Approaches on Small Event Logs.
QUATIC
Martin Käppel, Stefan Jablonski, Stefan Schönig
2021 J jnl
Evaluating Predictive Business Process Monitoring Approaches on Small Event Logs.
CoRR
Martin Käppel, Stefan Jablonski, Stefan Schönig
2021 J jnl
Language-independent look-ahead for checking multi-perspective declarative process models.
Softw. Syst. Model.
Martin Käppel, Lars Ackermann, Stefan Schönig, Stefan Jablonski
2021 J jnl
Leveraging Small Sample Learning for Business Process Management.
Inf. Softw. Technol.
Martin Käppel, Stefan Schönig, Stefan Jablonski
2021 Misc conf
Upper-Bounded Model Checking for Declarative Process Models.
PoEM
Nicolai Schützenmeier, Martin Käppel, Sebastian Petter, Stefan Jablonski
2019 C conf
A Comparative Study for the Selection of Machine Learning Algorithms based on Descriptive Parameters.
DATA
Chettan Kumar, Martin Käppel, Nicolai Schützenmeier, Philipp Eisenhuth, Stefan Jablonski
2019 — conf
Detection of Declarative Process Constraints in LTL Formulas.
EOMAS@CAiSE
Nicolai Schützenmeier, Martin Käppel, Sebastian Petter, Stefan Schönig, Stefan Jablonski
2019 — conf
Logic Based Look-Ahead for the Execution of Multi-perspective Declarative Processes.
BPMDS/EMMSAD@CAiSE
Martin Käppel, Nicolai Schützenmeier, Stefan Schönig, Lars Ackermann, Stefan Jablonski