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Publikationen

Zeige Ergebnisse 1441 bis 1450 von 14829.

  1. Antonio Macaluso

    Quantum Supervised Learning

    In: KI - Künstliche Intelligenz, German Journal on Artificial Intelligence - Organ des Fachbereiches "Künstliche Intelligenz" der Gesellschaft für Informatik e.V. (KI), Vol. 1, Pages 1-15, Springer, 2024.

  2. Valerio Giustino; Ignazio Leale; Luca Cicero; Luca Petrigna; Monica Lo Nigro; Veronica Fontana; Elena Mignosi; Pietro Cataldo; Antonio Macaluso; Manuel Gómez-López; Giovanni Cassata; Giuseppe Battaglia

    Acute effects of a dog sport on fitness parameters in young adults: a randomised controlled crossover study

    In: Human Movement (Hum Mov), Vol. 25, No. 4, Pages 138-146, Wroclaw University of Health and Sport Sciences, 2024.

  3. Holger Schwegmann; Bernd Kiefer; Tom Plagge; Floris Ernst

    Glasgow coma score estimation module for deployment on mobile robots in rescue missions.

    In: Proceedings of the IEEE International Symposium on Safety, Security, and Rescue Robotics 2024. IEEE International Symposium on Safety, Security, and Rescue Robotics (SSRR-2024), November 12-14, New York, NY, USA, NY, Pages 26-31, Vol. 1, IEEE, 11/2024.

  4. Emilia Pietras; Stephanie Hall; Bernd Kiefer; Jeppe Langaa; Guglielmo Borzone; Mandeep Dhanda; Aljaz Kramberger; Vimal Dhokia; Norbert Krüger; Leon Bodenhagen

    Toward Adaptive Robot Behavior for Interdependent Human-Robot Teams

    In: Proceedings of ICRA 2024. ICRA Workshop Dynamic Duos: Human-Robot Co-Worker Adaptation in Manufacturing, located at ICRA-2024, May 13, Yokohama, Japan, IEEE, 2024.

  5. Katharina Justmann; Ludwig Leurs; Martin Ruskowski

    Mapping of OPC UA FX to the Asset Administration Shell and Capability, Skill and Service Model

    In: 2024 IEEE 29th International Conference on Emerging Technologies and Factory Automation (ETFA). IEEE International Conference on Emerging Technologies and Factory Automation (ETFA-2024), Pages 1-4, IEEE, 2024.

  6. Tatjana Legler; Vinit Vikas Hegiste; Ahmed Anwar; Martin Ruskowski

    Addressing Heterogeneity in Federated Learning: Challenges and Solutions for a Shared Production Environment

    2024.

  7. Jonas Weigand; Gerben I. Beintema; Jonas Ulmen; Daniel Görges; Roland Tóth; Maarten Schoukens; Martin Ruskowski

    State Derivative Normalization for Continuous-Time Deep Neural Networks

    In: IFAC-PapersOnLine, Vol. 58, No. 15, Pages 253-258, ELSEVIER, 2024.

  8. Mark Niemeyer; Marian Renz; Maren Pukrop; David Hagemann; Tim Zurheide; Daniel Di Marco; Markus Höferlin; Philipp Stark; Florian Rahe; Matthias Igelbrink; Mario Jenz; Thomas Jarmer; Dieter Trautz; Stefan Stiene; Joachim Hertzberg

    Cognitive Weeding: An Approach to Single-Plant Specific Weed Regulation

    In: KI - Künstliche Intelligenz, German Journal on Artificial Intelligence - Organ des Fachbereiches "Künstliche Intelligenz" der Gesellschaft für Informatik e.V. (KI), Vol. 37, Pages 175-181, Springer, 1/2024.

  9. Malte Luttermann; Mattis Hartwig; Tanya Braun; Ralf Möller; Marcel Gehrke

    Lifted Causal Inference in Relational Domains

    In: Proceedings of the Third Conference on Causal Learning and Reasoning (CLeaR-24). Conference on Causal Learning and Reasoning (CLeaR-2024), April 1-3, Los Angeles, CA, USA, Pages 827-842, Vol. 236, PMLR, 5/2024.

  10. Sogo Pierre Sanon; Rekha Reddy; Christoph Lipps (Hrsg.)

    DDoS Attacks in Communication: Analysis and Mitigation of Unreliable Clients in Federated Learning

    IEEE Consumer Communications and Networking Conference (CCNC-2024), January 6-9, NV, USA, IEEE, 2/2024.

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