Adrian Rebmann
Adrian Rebmann
Geverifieerd e-mailadres voor uni-mannheim.de
Geciteerd door
Geciteerd door
Natural language-based detection of semantic execution anomalies in event logs
H van der Aa, A Rebmann, H Leopold
Information Systems 102, 101824, 2021
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
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
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
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
Enabling semantics-aware process mining through the automatic annotation of event logs
A Rebmann, H van der Aa
Information Systems 110, 102111, 2022
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
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
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
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
Improving business model configuration through a question-based approach
S Rübel, A Rebmann, A Emrich, S Klein, P Loos
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
Unsupervised Task Recognition from User Interaction Streams
A Rebmann, H van der Aa
International Conference on Advanced Information Systems Engineering, 141-157, 2023
Abstracting Low-level Event Data for Meaningful Process Analysis.
A Rebmann
BPM (PhD/Demos), 38-42, 2021
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
From OCEL to DOCEL--Datasets and Automated Transformation
A Goossens, A Rebmann, J De Smedt, J Vanthienen, H van der Aa
arXiv preprint arXiv:2309.14092, 2023
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
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
IM-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
Natural Language Processing for Business Process Analysis
H van der Aa, H Leopold, K Busch, A Rebmann
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