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Jahr: 2022
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  1. Marija Ivanović; Thierry Declerck

    Formalizations of Knowledge and/in Semiotic Models in Terminology Science

    In: Catherine Brun; Christophe Roche (Hrsg.). Actes de la conférence TOTh 2021. Terminology & Ontology: Theories and applications (TOTh-2021), June …

  2. Kyra Kiefer; Janina Hoppstädter; Philipp Slusallek; Marlies Thönnissen

    Report on the key findings from the Theme Development Workshop “AI Mitigating Bias & Disinformation”

    Pages 1-23, 11/2022.

  3. Silke Balzert-Walter; Kyra Kiefer; Philipp Slusallek; et al.

    Report on the key findings from the Theme Development Workshop “Future Mobility - Value of Data & Trust in AI”

    Pages 1-18, 1/2022.

  4. Kyra Kiefer; Janina Hoppstädter; Philipp Slusallek; et al.

    Report on the key findings from the Theme Development Workshop “AI for Future Healthcare”

    Pages 1-28, 1/2022.

  5. Kyra Kiefer; Janina Hoppstädter; André Meyer-Vitali; Philipp Slusallek; et al.

    Report on the key findings from the Theme Development Workshop “AI for Future Manufacturing”

    Pages 1-25, 10/2022.

  6. Boris Belousov; Bastian Wibranek; Jan Schneider; Tim Schneider; Georgia Chalvatzaki; Jan Peters; Oliver Tessmann

    Robotic architectural assembly with tactile skills: Simulation and optimization

    In: Automation in Construction, Vol. 133, Pages 1-10, Elsevier, 1/2022.

  7. Boris Belousov

    On Optimal Behavior Under Uncertainty in Humans and Robots

    PhD-Thesis, Technische Universität Darmstadt, 2022.

  8. Fabio Muratore; Theo Gruner; Florian Wiese; Boris Belousov; Michael Gienger; Jan Peters

    Neural posterior domain randomization

    In: Aleksandra Faust; David Hsu; Gerhard Neumann (Hrsg.). Proceedings of the 5th Conference on Robot Learning. Conference on Robot Learning …

  9. Niklas Funk; Georgia Chalvatzaki; Boris Belousov; Jan Peters

    Learn2assemble with structured representations and search for robotic architectural construction

    In: Aleksandra Faust; David Hsu; Gerhard Neumann (Hrsg.). Proceedings of the 5th Conference on Robot Learning. Conference on Robot Learning …

  10. Alan Le Goallec; Samuel Diai; Sasha Collin; Jean-Baptiste Prost; Théo Vincent; Chirag J Patel

    Using deep learning to predict abdominal age from liver and pancreas magnetic resonance images

    In: Nature Communications, Vol. 13, No. 1, Pages 1979-1979, Nature Publishing Group UK London, 2022.

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