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Lukas Malburg

Lukas Malburg

Informatikwissenschaften, Universität Trier

Trier

  • malburgl@uni-trier.de
  • 0000-0002-6866-0799
Publikationen
Ergebnisse pro Seite:  10

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 Manufacturing

KI - 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