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Lars Ackermann
Lars Ackermann
Professor of Process Mining, Hof University of Applied Sciences
Verified email at uni-bayreuth.de - Homepage
Title
Cited by
Cited by
Year
IoT meets BPM: a bidirectional communication architecture for IoT-aware process execution
S Schönig, L Ackermann, S Jablonski, A Ermer
Software and systems modeling 19 (6), 1443-1459, 2020
742020
Deep learning process prediction with discrete and continuous data features
S Schönig, R Jasinski, L Ackermann, S Jablonski
Proceedings of the 13th international conference on evaluation of novel …, 2018
472018
An integrated architecture for iot-aware business process execution
S Schönig, L Ackermann, S Jablonski, A Ermer
International Conference on Business Process Modeling, Development and …, 2018
362018
A universal prompting strategy for extracting process model information from natural language text using large language models
J Neuberger, L Ackermann, H van der Aa, S Jablonski
International Conference on Conceptual Modeling, 38-55, 2024
302024
Data-driven annotation of textual process descriptions based on formal meaning representations
L Ackermann, J Neuberger, S Jablonski
International Conference on Advanced Information Systems Engineering, 75-90, 2021
272021
Beyond rule-based named entity recognition and relation extraction for process model generation from natural language text
J Neuberger, L Ackermann, S Jablonski
International Conference on Cooperative Information Systems, 179-197, 2023
252023
The RALph miner for automated discovery and verification of resource-aware process models
C Cabanillas, L Ackermann, S Schönig, C Sturm, J Mendling
Software and Systems Modeling 19 (6), 1415-1441, 2020
212020
Internet of Things Meets BPM: A Conceptual Integration Framework.
S Schönig, L Ackermann, S Jablonski
SIMULTECH, 307-314, 2018
202018
Execution of multi-perspective declarative process models
L Ackermann, S Schönig, S Petter, N Schützenmeier, S Jablonski
OTM Confederated International Conferences" On the Move to Meaningful …, 2018
192018
Simulation of multi-perspective declarative process models
L Ackermann, S Schönig, S Jablonski
International Conference on Business Process Management, 61-73, 2016
172016
Automaton-based comparison of declare process models
N Schützenmeier, M Käppel, L Ackermann, S Jablonski, S Petter
Software and Systems Modeling 22 (2), 667-685, 2023
122023
Model [nl] generation: natural language model extraction
L Ackermann, B Volz
Proceedings of the 2013 ACM workshop on Domain-specific modeling, 45-50, 2013
122013
Towards an Implementation of Data and Resource Patterns in Constraint-based Process Models.
S Schönig, L Ackermann, S Jablonski
MODELSWARD, 271-278, 2018
112018
MuDePS: Multi-perspective Declarative Process Simulation.
L Ackermann, S Schönig
BPM (Demos) 1789, 12-16, 2016
102016
Attention please: What transformer models really learn for process prediction
M Käppel, L Ackermann, S Jablonski, S Härtl
International Conference on Business Process Management, 203-220, 2024
82024
Recent advances in data-driven business process management
L Ackermann, M Käppel, L Marcus, L Moder, S Dunzer, M Hornsteiner, ...
arXiv preprint arXiv:2406.01786, 2024
82024
Bridging research fields: An empirical study on joint, neural relation extraction techniques
L Ackermann, J Neuberger, M Käppel, S Jablonski
International Conference on Advanced Information Systems Engineering, 471-486, 2023
82023
Logic based look-ahead for the execution of multi-perspective declarative processes
M Käppel, N Schützenmeier, S Schönig, L Ackermann, S Jablonski
International Conference on Business Process Modeling, Development and …, 2019
82019
Towards simulation-and mining-based translation of resource-aware process models
L Ackermann, S Schönig, S Jablonski
International Conference on Business Process Management, 359-371, 2016
82016
Towards simulation-and mining-based translation of process models
L Ackermann, S Schönig, S Jablonski
Workshop on Enterprise and Organizational Modeling and Simulation, 3-21, 2016
82016
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Articles 1–20