Lars Ackermann

Orcid: 0000-0002-6785-8998

Affiliations:
  • University of Bayreuth, Institute for Computer Science, Germany


According to our database1, Lars Ackermann authored at least 26 papers between 2013 and 2023.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

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Bibliography

2023
Correction: Automaton-based comparison of Declare process models.
Softw. Syst. Model., April, 2023

Automaton-based comparison of Declare process models.
Softw. Syst. Model., April, 2023

Comparing the Expressiveness of Imperative and Declarative Process Models.
Proceedings of the Model-Driven Organizational and Business Agility, 2023

Beyond Rule-Based Named Entity Recognition and Relation Extraction for Process Model Generation from Natural Language Text.
Proceedings of the Cooperative Information Systems - 29th International Conference, 2023

Bridging Research Fields: An Empirical Study on Joint, Neural Relation Extraction Techniques.
Proceedings of the Advanced Information Systems Engineering, 2023

2021
Language-independent look-ahead for checking multi-perspective declarative process models.
Softw. Syst. Model., 2021

Data-Driven Annotation of Textual Process Descriptions Based on Formal Meaning Representations.
Proceedings of the Advanced Information Systems Engineering, 2021

2020
IoT meets BPM: a bidirectional communication architecture for IoT-aware process execution.
Softw. Syst. Model., 2020

The RALph miner for automated discovery and verification of resource-aware process models.
Softw. Syst. Model., 2020

2019
Logic Based Look-Ahead for the Execution of Multi-perspective Declarative Processes.
Proceedings of the Enterprise, Business-Process and Information Systems Modeling, 2019

2018
Sprachzentrierte Ansätze zur Steigerung der Akzeptanz von Geschäftsprozessmodellen
PhD thesis, 2018

Internet of Things Meets BPM: A Conceptual Integration Framework.
Proceedings of 8th International Conference on Simulation and Modeling Methodologies, 2018

Execution of Multi-perspective Declarative Process Models.
Proceedings of the On the Move to Meaningful Internet Systems. OTM 2018 Conferences, 2018

Towards an Implementation of Data and Resource Patterns in Constraint-based Process Models.
Proceedings of the 6th International Conference on Model-Driven Engineering and Software Development, 2018

Deep Learning Process Prediction with Discrete and Continuous Data Features.
Proceedings of the 13th International Conference on Evaluation of Novel Approaches to Software Engineering, 2018

An Integrated Architecture for IoT-Aware Business Process Execution.
Proceedings of the Enterprise, Business-Process and Information Systems Modeling, 2018

Language-centric Approaches for Improving Business Process Model Acceptance.
Proceedings of the Dissertation Award, 2018

2017
DPIL Navigator 2.0: Multi-Perspective Declarative Process Execution.
Proceedings of the BPM Demo Track and BPM Dissertation Award co-located with 15th International Conference on Business Process Modeling (BPM 2017), 2017

2016
Inter-Paradigm Translation of Process Models using Simulation and Mining.
CoRR, 2016

Ansätze zum Ähnlichkeitsabgleich von deklarativen Geschäftsprozessmodellen.
Proceedings of the 46. Jahrestagung der Gesellschaft für Informatik, 2016

Towards Simulation- and Mining-Based Translation of Process Models.
Proceedings of the Enterprise and Organizational Modeling and Simulation, 2016

Towards Simulation- and Mining-based Translation of Resource-aware Process Models.
Proceedings of the Business Process Management Workshops, 2016

Simulation of Multi-perspective Declarative Process Models.
Proceedings of the Business Process Management Workshops, 2016

MuDePS: Multi-perspective Declarative Process Simulation.
Proceedings of the BPM Demo Track 2016 Co-located with the 14th International Conference on Business Process Management (BPM 2016), 2016

2015
Natural Language Generation for Declarative Process Models.
Proceedings of the Enterprise and Organizational Modeling and Simulation, 2015

2013
model[NL]generation: natural language model extraction.
Proceedings of the 2013 ACM workshop on Domain-specific modeling, 2013


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