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Adrian Rebmann
Adrian Rebmann
SAP SE
Verified email at sap.com
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
592021
Large process models: a vision for business process management in the age of generative AI
T Kampik, C Warmuth, A Rebmann, R Agam, LNP Egger, A Gerber, ...
KI-Künstliche Intelligenz 39 (2), 81-95, 2025
402025
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
402022
Evaluating the ability of llms to solve semantics-aware process mining tasks
A Rebmann, FD Schmidt, G Glavaš, H van Der Aa
2024 6th International Conference on Process Mining (ICPM), 9-16, 2024
342024
Large process models: business process management in the age of generative AI
T Kampik, C Warmuth, A Rebmann, R Agam, LNP Egger, A Gerber, ...
342023
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
332021
Enabling the discovery of manual processes using a multi-modal activity recognition approach
A Rebmann, A Emrich, P Fettke
International Conference on Business Process Management, 130-141, 2019
302019
Enabling semantics-aware process mining through the automatic annotation of event logs
A Rebmann, H van der Aa
Information Systems 110, 102111, 2022
262022
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
252023
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
252020
Unsupervised task recognition from user interaction streams
A Rebmann, H van der Aa
International Conference on Advanced Information Systems Engineering, 141-157, 2023
122023
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
112022
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
102022
BPMN2Constraints: breaking down BPMN diagrams into declarative process query constraints
A Bergman, A Rebmann, T Kampik
BPM 2023, 21st International Conference on Business Process Management …, 2023
92023
Recognizing task-level events from user interaction data
A Rebmann, H van der Aa
Information Systems 124, 102404, 2024
72024
On the potential of large language models to solve semantics-aware process mining tasks
A Rebmann, FD Schmidt, G Glavaš, H van der Aa
Process Science 2 (1), 10, 2025
62025
IoT-based activity recognition for process assistance in human-robot disaster response
A Rebmann, JR Rehse, M Pinter, M Schnaubelt, K Daun, P Fettke
International Conference on Business Process Management, 71-87, 2020
52020
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 mining, 2020
52020
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
32023
LLMs that Understand Processes: Instruction-tuning for Semantics-Aware Process Mining
V Pyrih, A Rebmann, H van der Aa
2025 7th International Conference on Process Mining (ICPM), 1-8, 2025
22025
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Articles 1–20