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Publikationen

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  1. Maxx Richard Rahman; Wolfgang Maaß

    Generative AI in Anti-Doping Analysis in Sports

    In: Carlo Dindorf; Eva Bartaguiz; Freya Gassmann; Michael Fröhlich. Artificial Intelligence in Sports, Movement, and Health. Chapter 6, Pages 81-95, Springer, 2024.

  2. Dennis Mronga; Shivesh Kumar; Frank Kirchner

    Whole-body control

    In: Shivesh Kumar; Andreas Mueller; Frank Kirchner. Biologically Inspired Series-Parallel Hybrid Robots. Chapter 9, ISBN 978-0-323-88482-2, Elsevier, 2024.

  3. Sana Hassan Imam; Christopher A. Metz; Lars Hornuf; Rolf Drechsler

    Determining the Effect of Feedback Quality on User Engagement on Online Idea Crowdsourcing Platforms Using an AI model | Proceedings of the ACM on Human-Computer Interaction

    In: Proceedings of the ACM on Human-Computer Interaction (PACMHCI), Vol. 8, ACM, 2024.

  4. Luis Octavio Arriaga Camargo; Jichen Guo; Rebecca Adam; Sebastian Houben; Frank Kirchner

    Bayesian Inverse Graphics for Few-Shot Concept Learning

    In: International Conference on Neural-Symbolic Learning and Reasoning 2024. International Conference on Neural-Symbolic Learning and Reasoning (NeSy-2024), Pages 141-165, Springer, 2024.

  5. Mario Klostermeier; Vassilios Yfantis; Achim Wagner; Martin Ruskowski

    A Numerical Study on the Parallelization of Dual Decomposition-based Distributed Mixed-Integer Programming

    In: 2024 European Control Conference (ECC). European Control Conference (ECC-2024), June 25-28, Stockholm, Sweden, Pages 2724-2729, IEEE, 2024.

  6. Supreeth Mysore Venkatesh; Antonio Macaluso; Marlon Nuske; Matthias Klusch; Andreas Dengel

    Qubit-efficient Variational Quantum Algorithms for Image Segmentation

    In: ArXiv e-prints (arxiv), Vol. arXiv:2405.14405, Pages 1-7, arXiv, 2024.

  7. Sofija Engelson; Jan Ehrhardt; Timo Kepp; Joshua Niemeijer; Heinz Handels

    LNQ Challenge 2023: Learning Mediastinal Lymph Node Segmentation with a Probabilistic Lymph Node Atlas

    In: ArXiv e-prints (arxiv), Vol. arXiv:2406.03984, Pages 1-17, arXiv, 6/2024.

  8. Sabine Janzen; Prajvi Saxena; Cicy Agnes; Wolfgang Maaß

    Adaptive AI Systems in Knee Rehabilitation: Integrating Artificial Mental Models for Personalized Patient Support

    In: 13. Jahreskongress der Deutschen Kniegesellschaft. Jahreskongress der Deutschen Kniegesellschaft (DKG-2024), November 8-9, Hamburg, Germany, DKG, 11/2024.

  9. Hannes Kath; Patricia P. Serafini; Ivan B. Campos; Thiago Gouvea; Daniel Sonntag

    Leveraging transfer learning and active learning for data annotation in passive acoustic monitoring of wildlife

    In: Ecological Informatics, Vol. 82, Pages 1-9, Elsevier, 2024.

  10. Tobias Jungbluth; Maurice Rekrut; Amr Gomaa; Michael Feld

    Tailoring Takeover Requests in Autonomous Driving to Mental Workload

    In: 5th International Neuroergonomics Conference. Neuroergonomics Conference (NEC-2024), July 8-12, Bordeaux, France, Frontiers in Neuroergonomics, 2024.

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