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Jahr: 2024
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  1. Jan-Micha Bodensohn; Carsten Binnig

    Rethinking Table Retrieval from Data Lakes

    In: Proceedings of the Seventh International Workshop on Exploiting Artificial Intelligence Techniques for Data Management, aiDM 2024, Santiago, Chile, 14 June 2024. International Workshop on Exploiting Artificial Intelligence Techniques for Data Management (aiDM), Pages 2:1-2:5, ACM, 2024.

  2. Vassilios Yfantis; Achim Wagner; Martin Ruskowski

    Numerical benchmarking of dual decomposition-based optimization algorithms for distributed model predictive control

    In: Results in Control and Optimization (RICO), Vol. 17, Pages 1-19, Elsevier, 12/2024.

  3. Benjamin Blumhofer; Jonas Weigand; Leonhard Kunz; Pascal Rübel; Achim Wagner

    Detection of Rare Fault Cases for Mobile Robot Applications

    In: Achim Wagner; Kosmas Alexopoulos; Sotiris Makris (Hrsg.). Advances in Artificial Intelligence in Manufacturing. European Symposium on Artificial Intelligence in Manufacturing (ESAIM-2023), Cham, Pages 61-70, ISBN 978-3-031-57496-2, Springer Nature Switzerland, 2024.

  4. Florian Cordes; Ajish Babu; Tobias Stark

    Sherpa, a family of wheeled-leg rovers

    In: Shivesh Kumar; Andreas Mueller; Frank Kirchner. Biologically Inspired Series-Parallel Hybrid Robots. Pages 281-304, Vol. 514, ISBN 978-0-323-88482-2, Elsevier Science, 12/2024.

  5. Maximilian Albracht; Shivesh Kumar; Shubham Vyas; Frank Kirchner

    Model Predictive Parkour Control of a Monoped Hopper in Dynamically Changing Environments

    In: Andrea Del Prete; Abderrahmane Kheddar (Hrsg.). IEEE Robotics and Automation Letters (RA-L), Vol. 9, No. 10, Pages 8507-8514, IEEE, 10/2024.

  6. Roswitha Duwenbeck; Elsa Andrea Kirchner

    A Machine Learning Approach for Resource-efficient and Subject-independent Speech Based Stress Detection

    In: 2024 IEEE-EMBS Conference on Biomedical Engineering and Sciences (IECBES). IEEE-EMBS Conference on Biomedical Engineering and Sciences (IECBES-2024), December 11-13, Penang, Malaysia, ISBN 979-8-3503-8340-9, IEEE, 2024.

  7. Jibinraj Antony; Dorotea Jalu¨ić; Simon Bergweiler; Ákos Hajnal; Veronika ´labravec; Márk Emődi; Dejan Strbad; Tatjana Legler; Attila Csaba Marosi

    Adapting to Changes: A Novel Framework for Continual Machine Learning in Industrial Applications

    In: Journal of Grid Computing, Vol. 22 (71), Pages 1-19, Springer, 11/2024.

  8. Vinit Hegiste; Tatjana Legler; Martin Ruskowski

    Towards Robust Federated Image Classification: An Empirical Study of Weight Selection Strategies in Manufacturing

    In: 2024 2nd International Conference on Federated Learning Technologies and Applications (FLTA). International Conference on Federated Learning Technologies and Applications (FLTA-2024), September 17-20, Valencia, Spain, Pages 55-62, IEEE, 2024.

  9. Tatjana Legler; Vinit Hegiste; Martin Ruskowski

    Seamless Integration: Sampling Strategies in Federated Learning Systems

    In: 2024 2nd International Conference on Federated Learning Technologies and Applications (FLTA). International Conference on Federated Learning Technologies and Applications (FLTA-2024), September 17-20, Valencia, Spain, Pages 148-155, IEEE, 2024.

  10. Vinit Hegiste; Snehal Walunj; Jibinraj Antony; Tatjana Legler; Martin Ruskowski

    Enhancing Object Detection with Hybrid dataset in Manufacturing Environments: Comparing Federated Learning to Conventional Techniques

    In: 2024 1st International Conference on Innovative Engineering Sciences and Technological Research (ICIESTR). International Conference on Innovative Engineering Sciences and Technological Research (ICIESTR-2024), May 14-15, Muscat, Oman, Pages 1-6, ISBN 979-8-3503-4863-7, IEEE, 2024.

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