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Displaying results 1511 to 1520 of 14533.

  1. Franek Stark; Rohit Kumar; Shubham Vyas; Hannah Isermann; Jonas Haack; Mihaela Popescu; Jakob Middelberg; Dennis Mronga; Frank Kirchner

    An adaptive hierarchical control framework for quadrupedal robots in planetary exploration

    In: Proceedings of 18th Symposium on Advanced Space Technologies in Robotics and Automation. ESA/Estec Symposium on Advanced Space Technologies in Robotics and Automation (ASTRA-2025), October 7-9, Leiden, Netherlands, ESA, 2025.

  2. Aljoscha Burchardt; Jochen Büttner; Jürgen Renn

    Zukunftsszenarien für alle

    In: Kai Gondlach; Birgit Brinkmann; Mark Brinkmann; Julia Plath. Regenerative Zukünfte und künstliche Intelligenz: Band 2: PEOPLE. Pages 271-284, ISBN 978-3-658-44852-3, Springer Fachmedien Wiesbaden, Wiesbaden, 2024.

  3. Shashank Govindaraj; Wiebke Brinkmann; Francisco Javier Colmenero; Irene Sanz Nieto; Alexandru But; Matteo De Benedetti; Leon Cedric Danter; Mercedes Alonso; Enrique Heredia; Simon Lacroix; Dominik Kleszczynski; Joseph Purnell; Kevin Picton; Nabil Aouf; Luis Lopes

    Building a Lunar Infrastructure with the Help of a Heterogeneous (Semi)Autonomous Multi-robot-Team

    In: Xiu Tian Yan; Gianfranco Visentin. Space Robotics: The State of the Art and Future Trends. Pages 395-431, ISBN 978-3-031-39214-6, Springer Nature Switzerland, Cham, 2024.

  4. Timo P. Gros; Nicola Müller; Daniel Fiser; Isabel Valera; Verena Wolf; Jörg Hoffmann

    Per-Domain Generalizing Policies: On Validation Instances and Scaling Behavior

    In: The 35th International Conference on Automated Planning and Scheduling. International Conference on Automated Planning and Scheduling (ICAPS-2025), November 9-14, Melbourne, Australia, AAAI Press, 2025.

  5. Rui Li; Tao Jiang; Hao Xu; Marcin Grzegorzek; Xiaoyan Li; Chen Li

    TGMT-FSL: Text-Guided Multi-task Framework for Few-Shot Learning of Histopathological Image Analysis

    In: Advanced Data Mining and Applications - 21st International Conference, ADMA 2025 - Proceedings. International Conference on Advanced Data Mining and Applications (ADMA-2025), October 22-24, Kyoto, Japan, Pages 408-418, Lecture Notes in Computer Science (LNCS), Vol. 16198, ISBN 978-981-95-3456-2, Springer Nature, Singapore, 10/2025.

  6. Shange Wang; Lin Xu; Linshuai Zhang; Yujie Zhang; Chen Li; Marcin Grzegorzek; Jing Guo; Tao Jiang

    HHBSNet: a global channel–spatial attention and multi-scale dilated convolution network for automatic melasma segmentation

    In: Frontiers in Physiology, Vol. 16 - 2025, Frontiers Media SA, 11/2025.

  7. Frank Ehebrecht; Toni Scharle; Martin Atzmueller

    Constructing Neural Forms for Hard-Constraint PINNs with Complex Dirichlet Boundaries

    In: Rosa Meo; Fabrizio Silvestri (Hrsg.). Machine Learning and Principles and Practice of Knowledge Discovery in Databases. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD-WS), Cham, Pages 501-510, ISBN 978-3-031-74633-8, Springer Nature Switzerland, 2025.

  8. Mandala von Westenholz; Mika Patzelt; Tim Römer; Martin Atzmueller

    Generalizing Local Pattern Mining on Attributed Graphs using Simplicial Complex Abstraction

    In: Hocine Cherifi; Murat Donduran; Luis M. Rocha; Chantal Cherifi; Onur Varol (Hrsg.). Complex Networks & Their Applications XIII - Proceedings of The Thirteenth International Conference on Complex Networks and Their Applications: COMPLEX NETWORKS 2024 - Volume 1. International Conference on Complex Networks and their Applications (COMPLEX NETWORKS-2024), December 10-12, Istanbul, Turkey, Pages 298-311, Studies in Computational Intelligence (SCI), Vol. 1187, Springer, 2025.

  9. Jonas Schmidinger; Viacheslav Barkov; Sebastian Vogel; Martin Atzmueller; Gerard B.M. Heuvelink

    Kriging prior regression: A case for kriging-based spatial features with TabPFN in soil mapping

    In: Computers and Electronics in Agriculture, Vol. 243, Pages 1-17, Elsevier, 2026.

  10. Martin Atzmueller; Tim Bohne; Anne-Kathrin Patricia Windler

    Knowledge-Augmented Explainable and Interpretable Learning for Anomaly Detection and Diagnosis

    In: Pascal Hitzler; Abhilekha Dalal; Mohammad Saeid Mahdavinejad; Sanaz Saki Norouzi (Hrsg.). Handbook on Neurosymbolic AI and Knowledge Graphs. Pages 1-25, ISBN 9781643685786, IOS Press, 3/2025.

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