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Publications

Displaying results 611 to 620 of 6345.
  1. Mohammad Hossein Rimaz; Christiane Plociennik; Martin Ruskowski

    Semantic Asset Administration Shell for Circular Economy

    Mastersthesis, Deutsches Forschungszentrum für Künstliche Intelligenz GmbH (DFKI), 2024.

  2. Enhancing Object Detection Performance for Small Objects Through Synthetic Data Generation and Proportional Class-Balancing Technique: A Comparative Study in Industrial Scenarios

    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 90-105, ISBN 978-3-031-57496-2, Springer Nature Switzerland, 2024.

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

    In: Steve Pieper; Erik Ziegler; Tawa Idris; Bhanusupriya Somarouthu; Reuben Dorent; Gordon Harris; Ron Kikinis (Hrsg.). Machine Learning for Biomedical Imaging (MELBA), Vol. 2, No. MICCAI 2023 LNQ challenge special issue, Pages 817-833, MELBA Journal, 5/2024.

  4. Afef Awadid; André Meyer-Vitali; Dominik Vereno; Maxence Gagnant

    RITSA: Toward a Retrieval-Augmented Generation System for Intelligent Transportation Systems Architecture

    In: Proceedings of the 13th International Conference on Model-Based Software and Systems Engineering - MBSE-AI Integration. International Conference on Model-Driven Engineering and Software Development (MODELSWARD-2025), MBSE-AI Integration, February 26-28, Porto, Portugal, Pages 466-473, ISBN 978-989-758-729-0, SciTePress, 2/2025.

  5. Multi-Agent Causal Reinforcement Learning

    In: Proceedings of the 13th International Conference on Model-Based Software and Systems Engineering - MBSE-AI Integration. International Conference on Model-Driven Engineering and Software Development (MODELSWARD-2025), MBSE-AI Integration, February 26-28, Porto, Portugal, Pages 435-442, ISBN 978-989-758-729-0, SciTePress, 2/2025.

  6. V. Prasad; A Kshirsagar; D. Koert; R. Stock-Homburg; Jan Peters; G. Chalvatzaki

    MoVEInt: Mixture of Variational Experts for Learning Human-Robot Interactions from Demonstrations

    In: IEEE Robotics and Automation Letters (RA-L), Vol. 9, No. 7, Pages 6043-6050, IEEE, 2024.

  7. F. Al-Hafez; G. Zhao; Jan Peters; D. Tateo

    Time-Efficient Reinforcement Learning with Stochastic Stateful Policies

    In: LEARNING REPRESENTATIONS. INTERNATIONAL CONFERENCE. 12TH 2024. (ICLR 2024). International Conference on Learning Representations (ICLR), International Conference on Learning Representations (ICLR), 2024.

  8. A. Hendawy; Jan Peters; C. D'Eramo

    Multi-Task Reinforcement Learning with Mixture of Orthogonal Experts

    In: LEARNING REPRESENTATIONS. INTERNATIONAL CONFERENCE. 12TH 2024. International Conference on Learning Representations (ICLR-2024), International Conference on Learning Representations (ICLR), 2024.

  9. Y. Goeksu; A. Almeida-Correia; V. Prasad; A. Kshirsagar; D. Koert; Jan Peters; G. Chalvatzaki

    Kinematically Constrained Human-like Bimanual Robot-to-Human Handovers

    In: Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction (HRI ’24 Companion). ACM/IEEE International Conference on Human-Robot Interaction (HRI-2024), Association for Computing Machinery, 2024.

  10. F. Hahne; Prasad V.; Kshirsagar A.; Koert D.; Stock-Homburg R. M.; Jan Peters; Chalvatzaki G.

    Transition State Clustering for Interaction Segmentation and Learning

    In: Companion of the 2024 ACM/IEEE International Conference on Human-Robot Interaction (HRI ’24 Companion). ACM/IEEE International Conference on Human-Robot Interaction (HRI-2024), Association for Computing Machinery, 2024.