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Publikationen

 

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  1. Which Time Series Domain Shifts can Neural Networks Adapt to?

    In: Proceedings of. European Signal Processing Conference (EUSIPCO-2024), IEEE, 2024.

  2. A look under the hood of the Interactive Deep Learning Enterprise (No-IDLE)

    Deutsches Forschungszentrum für Künstliche Intelligenz GmbH, arXiv, 6/2024.

  3. Large Language Models as Knowledge Engineers

    In: Lukas Malburg (Hrsg.). Proceedings of the Workshops at the 32nd International Conference on Case-Based Reasoning (ICCBR-WS 2024) co-located with …

  4. CBRkit: An Intuitive Case-Based Reasoning Toolkit for Python

    In: Case-Based Reasoning Research and Development - 32nd International Conference, ICCBR 2024, Merida, Mexico, July 1-4, 2024, Proceedings. …

  5. Improving Complex Adaptations in Process-Oriented Case-Based Reasoning by Applying Rule-Based Adaptation

    In: Case-Based Reasoning Research and Development - 32nd International Conference, ICCBR 2024, Merida, Mexico, July 1-4, 2024, Proceedings. …

  6. FitSight: Tracking and Feedback Engine for Personalized Fitness Training

    In: Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization. International Conference on User Modeling, Adaptation, …

  7. Alexander Pögelt; Katja Ihsberner; Norbert Pengel; Milos Kravcik; Martin Grüttmüller; Wolfram Hardt

    Individualised Mathematical Task Recommendations through Intended Learning Outcomes and Reinforcement Learning

    In: Angelo Sifaleras; Fuhua Lin (Hrsg.). Generative Intelligence and Intelligent Tutoring Systems. International Conference on Intelligent Tutoring …

  8. Noon Pokaratsiri; Saadullah Amin; Günter Neumann (Hrsg.)

    Proceedings of TextGraphs-17: Graph-based Methods for Natural Language Processing

    Workshop on Graph-Based Natural Language Processing (TextGraphs-17), ACL, 2024.

  9. Arne Böckmann; Janosch Machowinski; Haider Khan Lodhi

    Advanced Multi-Surface Navigation for Unmanned Ground Vehicles (UGVs) Using 4D Path Planning Techniques (ugv_nav4d)

    In: Journal of Open Source Software (JOSS), Vol. n.n. Pages n.n.-n.n. JOSS, 2024.

  10. Tim Dahmen; Niklas Rottmayer; Markus Kronenberger; Katja Schladitz; Claudia Redenbach

    A Neural Model for High-Performance Scanning Electron Microscopy Image Simulation of Porous Materials

    In: CVPR 2024. CVPR 2024 (SynData4CV-2024), Workshop SynData4CV, located at CVPR, June 17-21, Seattle, OR, USA, CFV, 6/2024.