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Publications

Displaying results 1691 to 1700 of 2321.

  1. David Antony Selby; Maximilian Sprang; Jan Ewald; Sebastian Vollmer

    Beyond the black box with biologically informed neural networks

    In: Linda Koch (Hrsg.). Nature Reviews Genetics (Nat Rev Genet), Vol. NA, Pages NA-NA, Springer Nature, 3/2025.

  2. Muhammad Saif Ullah Khan; Muhammad Zeshan Afzal; Didier Stricker

    SituationalLLM: Proactive Language Models with Scene Awareness for Dynamic, Contextual Task Guidance [version 1; peer review: 2 approved with reservations]

    In: Open Research Europe, Vol. 5, No. 61, Pages 1-14, Open Research Europe, 3/2025.

  3. P. Holzmann; M. Maik Pfefferkorn; Jan Peters; R. Findeisen

    Learning Energy-Efficient Trajectory Planning for Robotic Manipulators using Bayesian Optimization

    In: Proceedings of the European Control Conference (ECC). European Control Conference (ECC-2024), Institute of Electrical and Electronics Engineers (IEEE), 2024.

  4. Y. Weng; S. Chun; M. Ohashi; T. Matsuda; Y. Sekimoria; J. Pajarinen; Jan Peters; T. Maki

    Autonomous Underwater Vehicle Link Alignment Control in Unknown Environments Using Reinforcement Learning

    In: Journal of Field Robotics (JFR), Vol. 41, No. 6, Pages 1724-1743, John Wiley & Sons Inc. 2024.

  5. Maxim Hotz; Lukas Malburg; Ralph Bergmann

    Advanced Search Techniques for Determining Optimal Sequences of Adaptation Rules in Process-Oriented Case-Based Reasoning

    In: Isabelle Bichindaritz; Beatriz Lopez (Hrsg.). Case-Based Reasoning Research and Development - 33rd International Conference, ICCBR 2025, Biarritz, France, June 30 - July 3, 2025, Proceedings. International Conference on Case-Based Reasoning (ICCBR-2025), Pages 236-251, Lecture Notes in Computer Science, Vol. 15662, Springer, 2025.

  6. Théo Vincent; Fabian Wahren; Jan Peters; Boris Belousov; Carlo D'Eramo

    Adaptive Q-Network: On-the-fly Target Selection for Deep Reinforcement Learning

    In: International Conference on Learning Representations. International Conference on Learning Representations (ICLR-2025), ICLR, 2025.

  7. Matthias Tschöpe; Stefan Gerd Fritsch; Vitor Fortes Rey; Niranjan Narendra Nandurkar; Sarah Trevenna; Eloise Monger; Paul Lukowicz

    NEEDLE: Nurse Education Enhanced by Vision-based Deep Learning Evaluation

    In: 2025 7th International Conference on Activity and Behavior Computing (ABC). International Conference on Activity and Behavior Computing (ABC), April 21-25, Abu Dhabi, Abu Dhabi, United Arab Emirates, Pages 1-10, IEEE Xplore, 2025.

  8. Guillermo Jimenez-Diaz; Mirko Lenz; Lukas Malburg; Belen Diaz-Agudo; Ralph Bergmann

    A Framework for Supporting the Iterative Design of CBR Applications

    In: Isabelle Bichindaritz; Beatriz Lopez (Hrsg.). Case-Based Reasoning Research and Development. International Conference on Case-Based Reasoning (ICCBR-2025), Biarritz, France, Lecture Notes in Computer Science (LNCS), Springer, Cham, 2025.

  9. Mirko Lenz; Maximilian Hoffmann; Ralph Bergmann

    LLsiM: Large Language Models for Similarity Assessment in Case-Based Reasoning

    In: Isabelle Bichindaritz; Beatriz Lopez (Hrsg.). Case-Based Reasoning Research and Development. International Conference on Case-Based Reasoning (ICCBR-2025), Biarritz, France, Lecture Notes in Computer Science (LNCS), Springer Nature Switzerland, Cham, 2025.

  10. Stefan Gerd Fritsch; Federico Cruciani; Vitor Fortes Rey; Ian Cleland; Luke Nugent; Paul Lukowicz; Chris Nugent

    Hierarchical Zero-Shot Approach for Human Activity Recognition in Smart Homes

    In: José Bravo; Chris Nugent; Ian Cleland (Hrsg.). Proceedings of the International Conference on Ubiquitous Computing and Ambient Intelligence (UCAmI 2024). International Conference on Ubiquitous Computing and Ambient Intelligence (UCAmI-2024), 16th International Conference on Ubiquitous Computing and Ambient Intelligence, November 27-29, Belfast, United Kingdom, Pages 163-175, ISBN 978-3-031-77571-0, Springer Nature Switzerland, 2024.

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