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Lars Ackermann
Lars Ackermann
Wissenschaftlicher Mitarbeiter, Universität Bayreuth, Lehrstuhl für Angewandte Informatik IV
Verified email at uni-bayreuth.de
Title
Cited by
Cited by
Year
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
252018
An integrated architecture for iot-aware business process execution
S Schönig, L Ackermann, S Jablonski, A Ermer
Enterprise, business-process and information systems modeling, 19-34, 2018
212018
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
202020
Simulation of multi-perspective declarative process models
L Ackermann, S Schönig, S Jablonski
International Conference on Business Process Management, 61-73, 2016
162016
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
142018
Internet of Things Meets BPM: A Conceptual Integration Framework.
S Schönig, L Ackermann, S Jablonski
SIMULTECH, 307-314, 2018
82018
Towards an Implementation of Data and Resource Patterns in Constraint-based Process Models.
S Schönig, L Ackermann, S Jablonski
MODELSWARD, 271-278, 2018
82018
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
72016
Model [NL] generation: natural language model extraction
L Ackermann, B Volz
Proceedings of the 2013 ACM workshop on Domain-specific modeling, 45-50, 2013
72013
MuDePS: Multi-perspective Declarative Process Simulation.
L Ackermann, S Schönig
BPM (Demos), 12-16, 2016
62016
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
52020
DPIL Navigator 2.0: Multi-Perspective Declarative Process Execution.
S Schönig, L Ackermann, S Jablonski
BPM (Demos), 2017
52017
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, 53-68, 2019
42019
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
42016
Inter-Paradigm Translation of Process Models using Simulation and Mining
L Ackermann, S Schönig, S Jablonski
arXiv preprint arXiv:1603.06110, 2016
42016
Die Winterlinde (Tilia cordata): Verwandtschaft, Morphologie und Ökologie
G Aas
LWF Wissen 78, 7-12, 2016
42016
Ansätze zum Ähnlichkeitsabgleich von deklarativen Geschäftsprozessmodellen
M Baumann, MH Baumann, L Ackermann, S Schönig, S Jablonski
32015
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
12021
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
12021
Sprachzentrierte Ansätze zur Steigerung der Akzeptanz von Geschäftsprozessmodellen
L Ackermann
PQDT-Global, 2018
12018
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