Lukas Malburg
Informatikwissenschaften, Universität Trier
Fornari, Fabrizio; Compagnucci, Ivan; Callisto De Donato, Massimo et al.
Digital Twins of Business Processes: A Research Manifesto.Internet Things. Bd. 30. 2025 S. 101477
Lenz, Mirko; Malburg, Lukas; Bergmann, Ralph
CBRkit: An Intuitive Case-Based Reasoning Toolkit for Python.ICCBR. 2024 S. 289 - 304
Fornari, Fabrizio; Compagnucci, Ivan; Callisto De Donato, Massimo et al.
Digital Twins of Business Processes: A Research Manifesto.CoRR. Bd. abs/2410.08219. 2024
Schultheis, Alexander; Alt, Benjamin; Bast, Sebastian et al.
EASY: Energy-Efficient Analysis and Control Processes in the Dynamic Edge-Cloud Continuum for Industrial ManufacturingKI - Künstliche Intelligenz. Bd. 0. Springer 2024 s13218-024-00868-3
Mangler, Juergen; Seiger, Ronny; Benzin, Janik-Vasily et al.
From Internet of Things Data to Business Processes: Challenges and a Framework.CoRR. Bd. abs/2405.08528. 2024
Schultheis, Alexander; Malburg, Lukas; Grüger, Joscha et al.
Identifying Missing Sensor Values in IoT Time Series Data: A Weight-Based Extension of Similarity Measures for Smart Manufacturing.ICCBR. 2024 S. 240 - 257
Malburg, Lukas; Hotz, Maxim; Bergmann, Ralph
Improving Complex Adaptations in Process-Oriented Case-Based Reasoning by Applying Rule-Based Adaptation.ICCBR. 2024 S. 50 - 66
Brand, Florian; Malburg, Lukas; Bergmann, Ralph
Large Language Models as Knowledge Engineers.ICCBR Workshops. 2024 S. 3 - 18
Guldner, Achim; Hoffmann, Maximilian; Lohr, Christian et al.
A framework for AI-based self-adaptive cyber-physical process systems.it Inf. Technol. Bd. 65. H. 3. 2023 S. 113 - 128