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Lars Ackermann
Lars Ackermann
Professor of Process Mining, Hof University of Applied Sciences
Dirección de correo verificada de uni-bayreuth.de - Página principal
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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
622020
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
412018
An integrated architecture for iot-aware business process execution
S Schönig, L Ackermann, S Jablonski, A Ermer
Enterprise, Business-Process and Information Systems Modeling: 19th …, 2018
342018
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
222021
Execution of multi-perspective declarative process models
L Ackermann, S Schönig, S Petter, N Schützenmeier, S Jablonski
On the Move to Meaningful Internet Systems. OTM 2018 Conferences …, 2018
182018
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
172023
Simulation of multi-perspective declarative process models
L Ackermann, S Schönig, S Jablonski
Business Process Management Workshops: BPM 2016 International Workshops, Rio …, 2017
172017
Internet of Things Meets BPM: A Conceptual Integration Framework.
S Schönig, L Ackermann, S Jablonski
SIMULTECH, 307-314, 2018
162018
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, 1415-1441, 2020
142020
Towards an Implementation of Data and Resource Patterns in Constraint-based Process Models.
S Schönig, L Ackermann, S Jablonski
MODELSWARD, 271-278, 2018
112018
Model [nl] generation: natural language model extraction
L Ackermann, B Volz
Proceedings of the 2013 ACM workshop on Domain-specific modeling, 45-50, 2013
112013
MuDePS: Multi-perspective Declarative Process Simulation.
L Ackermann, S Schönig
BPM (Demos) 1789, 12-16, 2016
92016
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
82023
Logic based look-ahead for the execution of multi-perspective declarative processes
M Käppel, N Schützenmeier, S Schönig, L Ackermann, S Jablonski
Enterprise, Business-Process and Information Systems Modeling: 20th …, 2019
82019
Towards simulation-and mining-based translation of process models
L Ackermann, S Schönig, S Jablonski
Enterprise and Organizational Modeling and Simulation: 12th International …, 2016
82016
Language-independent look-ahead for checking multi-perspective declarative process models
M Käppel, L Ackermann, S Schönig, S Jablonski
Software and Systems Modeling 20 (5), 1379-1401, 2021
72021
Towards simulation-and mining-based translation of resource-aware process models
L Ackermann, S Schönig, S Jablonski
Business Process Management Workshops: BPM 2016 International Workshops, Rio …, 2017
72017
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
62023
DPIL Navigator 2.0: Multi-Perspective Declarative Process Execution.
S Schönig, L Ackermann, S Jablonski
BPM (Demos), 2017
52017
Natural language generation for declarative process models
L Ackermann, S Schönig, M Zeising, S Jablonski
Enterprise and Organizational Modeling and Simulation: 11th International …, 2015
52015
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Artículos 1–20