Martin Käppel

Lehrstuhl für Digital Industrial Service Systems

Automaton-based comparison of Declare process models (2023) Schützenmeier N, Käppel M, Ackermann L, Jablonski S, Petter S Journal article, Original article Model-Agnostic Event Log Augmentation for Predictive Process Monitoring (2023) Käppel M, Jablonski S Conference contribution, Original article Bridging Research Fields: An Empirical Study on Joint, Neural Relation Extraction Techniques (2023) Ackermann L, Neuberger J, Käppel M, Jablonski S Conference contribution, Conference Contribution Comparing the Expressiveness of Imperative and Declarative Process Models (2023) Schützenmeier N, Jablonski S, Käppel M, Ackermann L Conference contribution, Conference Contribution Scenario-Based Model Checking of Declarative Process Models (2023) Schützenmeier N, Käppel M, Fichtner M, Jablonski S Conference contribution, Conference Contribution Evaluating Predictive Business Process Monitoring Approaches on Small Event Logs (2021) Käppel M, Jablonski S, Schönig S Conference contribution, Original article Leveraging Small Sample Learning for Business Process Management (2021) Käppel M, Schönig S, Jablonski S Journal article, Original article Cost-Sensitive Predictive Business Process Monitoring (2021) Käppel M, Jablonski S, Schönig S Conference contribution, Conference Contribution Upper-Bounded Model Checking for Declarative Process Models (2021) Schützenmeier N, Käppel M, Petter S, Jablonski S Conference contribution, Conference Contribution Language-independent look-ahead for checking multi-perspective declarative process models (2021) Käppel M, Ackermann L, Schönig S, Jablonski S Journal article, Original article