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Publications

Displaying results 521 to 530 of 2315.

  1. Matthias Rüb; Jan Herbst; Oliver May; Ralf Irmer; Christoph Lipps; Hans Dieter Schotten

    Large Agent Models in Patient Care and Clinical Communication Infrastructure: Applications and Challenges

    In: 2024 IEEE 6th International Conference on Cybernetics, Cognition and Machine Learning Applications (ICCCMLA). International Conference on Cybernetics, Cognition and Machine Learning Applications (ICCCMLA-2024), October 19-20, Hamburg, Germany, IEEE, 11/2024.

  2. Viacheslav Barkov; Jonas Schmidinger; Robin Gebbers; Martin Atzmueller

    An Efficient Model-Agnostic Approach for Uncertainty Estimation in Data-Restricted Pedometric Applications

    In: Proc. International Conference on Machine Learning and Applications. International Conference on Machine Learning and Applications (ICMLA-2024), Pages 1-8, IEEE, 2024.

  3. Jurgen van den Hoogen; Dan Hudson; Martin Atzmueller

    Graph Signal Processing (GSP) Unearths the Best Locations for Soil Moisture Sensors

    In: Proc. International Conference on Machine Learning and Applications. International Conference on Machine Learning and Applications (ICMLA-2024), Pages 1-6, IEEE, 2024.

  4. Frank Ehebrecht; Toni Scharle; Martin Atzmueller

    PINNtegrate: PINN-based Integral-Learning for Variational and Interface Problems

    In: Proceedings of the 1st ECAI Workshop on "Machine Learning Meets Differential Equations: From Theory to Applications". Workshop on Machine Learning Meets Differential Equations (ML-DE-2024), located at ECAI 2024, September 20, Santiago de Compostela, Spain, Pages 1-16, Proceedings of Machine Learning Research (PMLR), Vol. 255, PMLR, 2024.

  5. J. Schmidinger; V. Barkov; H. Tavakoli; J. Correa; M. Ostermann; Martin Atzmueller; R. Gebbers; S. Vogel

    Which and how many soil sensors are ideal to predict key soil properties: A case study with seven sensors

    In: Geoderma, Vol. 450, Pages 1-34, Geoderma, 10/2024.

  6. Timo Markert; Sebastian Matich; Daniel Neykov; Jonas Pfannes; Andreas Theissler; Martin Atzmueller

    Force-based Haptic Input Device and Online Motion Generator: Investigating Learning Curves in Robotic Telemanipulation

    In: 2024 IEEE International Conference on Robot and Human Interactive Communication (RO-MAN). IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), Pages 1761-1767, IEEE, 2024.

  7. Busra Sebin; Nazim Taskin; Nijat Mehdiyev

    Exploring the Intersection of Large Language Models (LLMs) and Explainable AI (XAI): A Systematic Literature Review (Research-in-Progress)

    In: Lech Janczewski; Galal H. Galal-Edeen; Barbara Krumay (Hrsg.). Proceedings of 2024 International Conference on Information Resources Management. International Conference on Information Resources Management (Conf-IRM-2024), May 26-28, Cairo, Egypt, ISBN 978-0-473-71035-4, AIS Electronic Library (AISeL), 2024.

  8. Ibrahim Tijjani; Rohit Kumar; Melya Boukheddimi; Mathias Trampler; Shivesh Kumar; Frank Kirchner

    Sitting, Standing and Walking Control of the Series- Parallel Hybrid Recupera-Reha Exoskeleton

    In: 2024 IEEE-RAS 23rd International Conference on Humanoid Robots (Humanoids). IEEE-RAS International Conference on Humanoid Robots (Humanoids-2024), November 22-24, Nancy, France, Pages 113-120, ISBN 979-8-3503-7357-8, IEEE, 12/2024.

  9. Felix Wiebe; Niccolò Turcato; Alberto Dalla Libera; Chi Zhang; Theo Vincent; Shubham Vyas; Giulio Giacomuzzo; Ruggero Carli; Diego Romeres; Akhil Sathuluri; Markus Zimmermann; Boris Belousov; Jan Peters; Frank Kirchner; Shivesh Kumar

    Reinforcement Learning for Athletic Intelligence: Lessons from the 1st "AI Olympics with RealAIGym" Competition

    In: Kate Larson (Hrsg.). Proceedings of the Thirty-Third International Joint Conference on Artificial Intelligence, IJCAI-24. International Joint Conference on Artificial Intelligence (IJCAI-2024), August 3-9, Jeju, Korea, Republic of, Pages 8833-8837, International Joint Conferences on Artificial Intelligence Organization, 8/2024.

  10. C.E. Luis; A.G. Bottero; J. Vinogradska; F. Berkenkamp; Jan Peters

    Value-Distributional Model-Based Reinforcement Learning

    In: Journal of Machine Learning Research, Vol. 25, No. 298, Pages 1-42, Journal of Machine Learning Research (JMLR), 2024.

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