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Publications

Displaying results 111 to 120 of 14494.

  1. 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.

  2. Anthony Kiggundu; Bin Han; Dennis Krummacker; Hans Dieter Schotten

    Resource Allocation in Mobile Networks: A Decision Model Of Jockeying in Queues

    In: Fourth IEEE International Mediterranean Conference on Communications and Networking. IEEE International Mediterranean Conference on Communications and Networking (MeditCom-2024), IEEE, July 8-11, Madrid, Spain, IEEE, 2024.

  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. 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.

  10. Matthias Tschöpe; Stefan Gerd Fritsch; David Kariem Habusch; Vitor Fortes Rey; Agnes Grünerbl; Paul Lukowicz

    Evaluating Deep Learning Models for Posture and Movement Recognition During the ABCDE Protocol in Nurse Education

    In: 2024 International Conference on Activity and Behavior Computing (ABC). International Conference on Activity and Behavior Computing (ABC-2024), 6th International Conference on Activity and Behavior Computing, May 28-31, Nakatsu, Japan, Pages 1-10, IEEE, 2024.

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