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ORCIDLars Ackermann
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- affiliation: University of Bayreuth, Institute for Computer Science, Germany
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2020 – today
- 2024
[c22]Martin Käppel
, Lars Ackermann, Stefan Jablonski, Simon Härtl:
Attention Please: What Transformer Models Really Learn for Process Prediction. BPM 2024: 203-220- [c21]Julian Neuberger, Leonie Doll, Benedikt Engelmann, Lars Ackermann, Stefan Jablonski:
Leveraging Data Augmentation for Process Information Extraction. BPMDS/EMMSAD@CAiSE 2024: 57-70 - [c20]Julian Neuberger, Lars Ackermann, Han van der Aa, Stefan Jablonski:
A Universal Prompting Strategy for Extracting Process Model Information from Natural Language Text Using Large Language Models. ER 2024: 38-55 - [i7]Julian Neuberger, Leonie Doll, Benedict Engelmann, Lars Ackermann, Stefan Jablonski:
Leveraging Data Augmentation for Process Information Extraction. CoRR abs/2404.07501 (2024) - [i6]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:
Recent Advances in Data-Driven Business Process Management. CoRR abs/2406.01786 (2024) - [i5]Julian Neuberger, Lars Ackermann, Han van der Aa, Stefan Jablonski:
A Universal Prompting Strategy for Extracting Process Model Information from Natural Language Text using Large Language Models. CoRR abs/2407.18540 (2024) - [i4]Martin Käppel, Lars Ackermann, Stefan Jablonski, Simon Härtl:
Attention Please: What Transformer Models Really Learn for Process Prediction. CoRR abs/2408.07097 (2024) - [i3]Julian Neuberger, Han van der Aa, Lars Ackermann, Daniel Buschek, Jannic Herrmann, Stefan Jablonski:
Assisted Data Annotation for Business Process Information Extraction from Textual Documents. CoRR abs/2410.01356 (2024) - 2023
- [j5]Nicolai Schützenmeier, Martin Käppel, Lars Ackermann, Stefan Jablonski, Sebastian Petter:
Automaton-based comparison of Declare process models. Softw. Syst. Model. 22(2): 667-685 (2023) - [j4]Nicolai Schützenmeier, Martin Käppel, Lars Ackermann, Stefan Jablonski, Sebastian Petter:
Correction: Automaton-based comparison of Declare process models. Softw. Syst. Model. 22(2): 687 (2023) - [c19]Lars Ackermann, Julian Neuberger, Martin Käppel, Stefan Jablonski:
Bridging Research Fields: An Empirical Study on Joint, Neural Relation Extraction Techniques. CAiSE 2023: 471-486 - [c18]Julian Neuberger, Lars Ackermann, Stefan Jablonski:
Beyond Rule-Based Named Entity Recognition and Relation Extraction for Process Model Generation from Natural Language Text. CoopIS 2023: 179-197 - [c17]Nicolai Schützenmeier, Stefan Jablonski, Martin Käppel, Lars Ackermann:
Comparing the Expressiveness of Imperative and Declarative Process Models. MOBA 2023: 16-31 - [i2]Julian Neuberger, Lars Ackermann, Stefan Jablonski:
Beyond Rule-based Named Entity Recognition and Relation Extraction for Process Model Generation from Natural Language Text. CoRR abs/2305.03960 (2023) - 2021
- [j3]Martin Käppel, Lars Ackermann, Stefan Schönig, Stefan Jablonski:
Language-independent look-ahead for checking multi-perspective declarative process models. Softw. Syst. Model. 20(5): 1379-1401 (2021) - [c16]Lars Ackermann, Julian Neuberger, Stefan Jablonski:
Data-Driven Annotation of Textual Process Descriptions Based on Formal Meaning Representations. CAiSE 2021: 75-90 - 2020
- [j2]Cristina Cabanillas, Lars Ackermann, Stefan Schönig, Christian Sturm, Jan Mendling:
The RALph miner for automated discovery and verification of resource-aware process models. Softw. Syst. Model. 19(6): 1415-1441 (2020) - [j1]Stefan Schönig, Lars Ackermann, Stefan Jablonski, Andreas Ermer:
IoT meets BPM: a bidirectional communication architecture for IoT-aware process execution. Softw. Syst. Model. 19(6): 1443-1459 (2020)
2010 – 2019
- 2019
- [c15]Martin Käppel, Nicolai Schützenmeier, Stefan Schönig, Lars Ackermann, Stefan Jablonski:
Logic Based Look-Ahead for the Execution of Multi-perspective Declarative Processes. BPMDS/EMMSAD@CAiSE 2019: 53-68 - 2018
- [b1]Lars Ackermann:
Sprachzentrierte Ansätze zur Steigerung der Akzeptanz von Geschäftsprozessmodellen. Bayreuth University, Germany, 2018 - [c14]Lars Ackermann:
Language-centric Approaches for Improving Business Process Model Acceptance. BPM (Dissertation/Demos/Industry) 2018: 51-55 - [c13]Stefan Schönig, Lars Ackermann, Stefan Jablonski, Andreas Ermer:
An Integrated Architecture for IoT-Aware Business Process Execution. BPMDS/EMMSAD@CAiSE 2018: 19-34 - [c12]Stefan Schönig, Richard Jasinski, Lars Ackermann, Stefan Jablonski:
Deep Learning Process Prediction with Discrete and Continuous Data Features. ENASE 2018: 314-319 - [c11]Stefan Schönig, Lars Ackermann, Stefan Jablonski:
Towards an Implementation of Data and Resource Patterns in Constraint-based Process Models. MODELSWARD 2018: 271-278 - [c10]Lars Ackermann, Stefan Schönig, Sebastian Petter, Nicolai Schützenmeier, Stefan Jablonski:
Execution of Multi-perspective Declarative Process Models. OTM Conferences (2) 2018: 154-172 - [c9]Stefan Schönig, Lars Ackermann, Stefan Jablonski:
Internet of Things Meets BPM: A Conceptual Integration Framework. SIMULTECH 2018: 307-314 - 2017
- [c8]Stefan Schönig, Lars Ackermann, Stefan Jablonski:
DPIL Navigator 2.0: Multi-Perspective Declarative Process Execution. BPM (Demos) 2017 - 2016
- [c7]Lars Ackermann, Stefan Schönig:
MuDePS: Multi-perspective Declarative Process Simulation. BPM (Demos) 2016: 12-16 - [c6]Lars Ackermann, Stefan Schönig, Stefan Jablonski:
Simulation of Multi-perspective Declarative Process Models. Business Process Management Workshops 2016: 61-73 - [c5]Lars Ackermann, Stefan Schönig, Stefan Jablonski:
Towards Simulation- and Mining-based Translation of Resource-aware Process Models. Business Process Management Workshops 2016: 359-371 - [c4]Lars Ackermann, Stefan Schönig, Stefan Jablonski:
Towards Simulation- and Mining-Based Translation of Process Models. EOMAS@CAiSE 2016: 3-21 - [c3]Michaela Baumann, Michael Heinrich Baumann, Lars Ackermann, Stefan Schönig, Stefan Jablonski:
Ansätze zum Ähnlichkeitsabgleich von deklarativen Geschäftsprozessmodellen. GI-Jahrestagung 2016: 733-738 - [i1]Lars Ackermann, Stefan Schönig, Stefan Jablonski:
Inter-Paradigm Translation of Process Models using Simulation and Mining. CoRR abs/1603.06110 (2016) - 2015
- [c2]Lars Ackermann, Stefan Schönig, Michael Zeising, Stefan Jablonski:
Natural Language Generation for Declarative Process Models. EOMAS@CAiSE 2015: 3-19 - 2013
- [c1]Lars Ackermann, Bernhard Volz:
model[NL]generation: natural language model extraction. DSM@SPLASH 2013: 45-50
Coauthor Index
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last updated on 2025-01-20 22:49 CET by the dblp team
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