Adrian Rebmann

Orcid: 0000-0001-7009-4637

According to our database1, Adrian Rebmann authored at least 17 papers between 2019 and 2023.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
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Links

On csauthors.net:

Bibliography

2023
Large Process Models: Business Process Management in the Age of Generative AI.
CoRR, 2023

From OCEL to DOCEL - Datasets and Automated Transformation.
Proceedings of the Process Mining Workshops, 2023

M-viz: A Tool for the Step-by-step Visualization of the Inductive Miner.
Proceedings of the Doctoral Consortium and Demo Track 2023 at the International Conference on Process Mining 2023 co-located with the 5th International Conference on Process Mining (ICPM 2023), 2023

Unsupervised Task Recognition from User Interaction Streams.
Proceedings of the Advanced Information Systems Engineering, 2023

Does This Make Sense? Machine Learning-Based Detection of Semantic Anomalies in Business Processes.
Proceedings of the Business Process Management - 21st International Conference, 2023

BPMN2Constraints: Breaking Down BPMN Diagrams into Declarative Process Query Constraints.
Proceedings of the Best Dissertation Award, 2023

2022
Enabling semantics-aware process mining through the automatic annotation of event logs.
Inf. Syst., 2022

Multi-perspective Identification of Event Groups for Event Abstraction.
Proceedings of the Process Mining Workshops, 2022

GECCO: Constraint-driven Abstraction of Low-level Event Logs.
Proceedings of the 38th IEEE International Conference on Data Engineering, 2022

Uncovering Object-Centric Data in Classical Event Logs for the Automated Transformation from XES to OCEL.
Proceedings of the Business Process Management - 20th International Conference, 2022

2021
Natural language-based detection of semantic execution anomalies in event logs.
Inf. Syst., 2021

Extracting Semantic Process Information from the Natural Language in Event Logs.
Proceedings of the Advanced Information Systems Engineering, 2021

Abstracting Low-level Event Data for Meaningful Process Analysis.
Proceedings of the Best Dissertation Award, Doctoral Consortium, and Demonstration & Resources Track at BPM 2021 co-located with 19th International Conference on Business Process Management (BPM 2021), Rome, Italy, September 6th - to, 2021

2020
Hands-on Process Discovery with Python - Utilizing Jupyter Notebook for the Digital Assistance in Higher Education.
Proceedings of the Companion Proceedings of Modellierung 2020 Short, 2020

IoT-Based Activity Recognition for Process Assistance in Human-Robot Disaster Response.
Proceedings of the Business Process Management Forum, 2020

2019
Improving Business Model Configuration through a Question-based Approach.
Proceedings of the Human Practice. Digital Ecologies. Our Future. 14. Internationale Tagung Wirtschaftsinformatik (WI 2019), 2019

Enabling the Discovery of Manual Processes Using a Multi-modal Activity Recognition Approach.
Proceedings of the Business Process Management Workshops, 2019


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