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Publikationen

Zeige Ergebnisse 951 bis 960 von 14763.

  1. Malte Wirkus; Malte Langosz; Jungmin Lim; Abhijit Krishnananda Kamath; Julian Liersch; Marc Otto; Kabilan Tamilmani; Nayari Lessa; Haider Khan Lodhi; Sebastian Kasperski; Jonas Eisenmenger; Alexander Dettmann; Frank Kirchner

    NoStrandAMust Dataset

    zenodo, 5/2025.

  2. Vinzenz Bargsten; Dimitrios Rakovitis; Vamsi Krishna Origanti; Adrian Danzglock; Frank Kirchner

    Continuous learning of contact episodes from proprioceptive sensors in industrial assembly scenarios using Adaptive Resonance Theory

    In: Proceedings of the 7th International Conference on Intelligent and Fuzzy Systems - INFUS2025. International Conference on Intelligent and Fuzzy Systems (INFUS-2025), July 29-31, Istanbul, Turkey, Pages 324-349, Vol. 1531, ISBN 978-3-031-98303-0, Springer, 7/2025.

  3. Ralph Bergmann; Florian Brand; Mirko Lenz; Lukas Malburg

    EXAR: A Unified Experience-Grounded Agentic Reasoning Architecture

    In: Isabelle Bichindaritz; Beatriz Lopez (Hrsg.). Case-Based Reasoning Research and Development. International Conference on Case-Based Reasoning (ICCBR-2025), Cham, France, Pages 3-17, Lecture Notes in Computer Science (LNCS), Springer, 2025.

  4. 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.

  5. 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.

  6. 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.

  7. 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.

  8. 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.

  9. Mhd Rashed Al Koutayni; Gerd Reis; Didier Stricker

    Optimization strategies for neural network deployment on FPGA: An energy-efficient real-time face detection use case

    In: Internet of Things, Vol. 33, Pages 1-16, Elsevier, 9/2025.

  10. Benjamin Alt; Sebastian Bast; Matthias Babel; Julian Buitmann; Lars Creutz; Guido Dartmann; Marvin Ehaus; Thomas Engel; Fabian Gast; Nina Großegesse; Achim Guldner; Nils Jahnke; David Jilg; Marc-Fabian Körner; Justus Leskow; Johannes Mundorf; Stefan Naumann; Alexandra Pehlken; Marvin Schacht; Leo Schick; Tobias Schlagenhauf; Alexander Schultheis; Karsten Schörner; Sebastian Straub; Jens Strüker; Ralph Traphöner; Moritz-André Weiher

    Bewertung von Edge-Cloud-Systemen: Vorgehen, Instrumente und Metriken

    Institut für Innovation und Technik (iit) in der VDI/VDE Innovation + Technik GmbH, 2025.

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