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Adrian Rebmann
Adrian Rebmann
Verified email at uni-mannheim.de
Title
Cited by
Cited by
Year
Natural language-based detection of semantic execution anomalies in event logs
H van der Aa, A Rebmann, H Leopold
Information Systems 102, 101824, 2021
272021
Extracting semantic process information from the natural language in event logs
A Rebmann, H van der Aa
International Conference on Advanced Information Systems Engineering, 57-74, 2021
252021
Uncovering object-centric data in classical event logs for the automated transformation from XES to OCEL
A Rebmann, JR Rehse, H van der Aa
International Conference on Business Process Management, 379-396, 2022
222022
Enabling the discovery of manual processes using a multi-modal activity recognition approach
A Rebmann, A Emrich, P Fettke
Business Process Management Workshops: BPM 2019 International Workshops …, 2019
192019
A multi-sensor approach for digital twins of manual assembly and commissioning
A Rebmann, S Knoch, A Emrich, P Fettke, P Loos
Procedia Manufacturing 51, 549-556, 2020
162020
Enabling semantics-aware process mining through the automatic annotation of event logs
A Rebmann, H van der Aa
Information Systems 110, 102111, 2022
102022
Large Process Models: Business Process Management in the Age of Generative AI
T Kampik, C Warmuth, A Rebmann, R Agam, LNP Egger, A Gerber, ...
arXiv preprint arXiv:2309.00900, 2023
72023
GECCO: constraint-driven abstraction of low-level event logs
A Rebmann, M Weidlich, H Van Der Aa
2022 IEEE 38th International Conference on Data Engineering (ICDE), 150-163, 2022
62022
Does this make sense? machine learning-based detection of semantic anomalies in business processes
J Caspary, A Rebmann, H van der Aa
International Conference on Business Process Management, 163-179, 2023
52023
Unsupervised task recognition from user interaction streams
A Rebmann, H van der Aa
International Conference on Advanced Information Systems Engineering, 141-157, 2023
42023
Multi-perspective identification of event groups for event abstraction
A Rebmann, P Pfeiffer, P Fettke, H Aa
International Conference on Process Mining, 31-43, 2022
42022
Business Process Intelligence Challenge 2020: Analysis and evaluation of a travel process
S Klein, J Lahann, L Mayer, D Neu, P Pfeiffer, A Rebmann, M Scheid, ...
10th Business Process Intelligence Challenge at the Int. Conf. on Process …, 2020
42020
Iot-based activity recognition for process assistance in human-robot disaster response
A Rebmann, JR Rehse, M Pinter, M Schnaubelt, K Daun, P Fettke
Business Process Management Forum: BPM Forum 2020, Seville, Spain, September …, 2020
42020
Improving business model configuration through a question-based approach
S Rübel, A Rebmann, A Emrich, S Klein, P Loos
22019
From OCEL to DOCEL–Datasets and Automated Transformation
A Goossens, A Rebmann, J De Smedt, J Vanthienen, H van der Aa
International Conference on Process Mining, 70-83, 2023
12023
Abstracting Low-level Event Data for Meaningful Process Analysis.
A Rebmann
BPM (PhD/Demos), 38-42, 2021
12021
Hands-on Process Discovery with Python-Utilizing Jupyter Notebook for the Digital Assistance in Higher Education.
A Rebmann, A Beuther, S Schumann, P Fettke
Modellierung (Companion), 65-76, 2020
12020
Recognizing task-level events from user interaction data
A Rebmann, H van der Aa
Information Systems 124, 102404, 2024
2024
Semantics-aware event data transformation for process mining
AG Rebmann
2024
M-viz: A Tool for the Step-by-step Visualization of the Inductive Miner.
F Lang, D Hida, Y Bian, A Rebmann, H van der Aa
ICPM Doctoral Consortium/Demo, 2023
2023
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