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Publications

Displaying results 221 to 230 of 682.
  1. Exploring a Hybrid Case-Based Reasoning Approach for Time Series Adaptation in Predictive Maintenance

    In: Lukas Malburg (Hrsg.). Proceedings of the Workshops at the 32nd International Conference on Case-Based Reasoning (ICCBR-WS 2024). International Conference on Case-Based Reasoning (ICCBR-2024), co-located with the 31st International Conference on Case-Based Reasoning (ICCBR 2024), located at 31st International Conference on Case-Based Reasoning (ICCBR 2024), July 1-5, Merida, Mexico, CEUR Workshop Proceedings, CEUR-WS.org. 7/2024.

  2. An Analysis of Temporal Dropout in Earth Observation Time Series for Regression Tasks

    In: IDA 2025. International Symposium on Intelligent Data Analysis (IDA-2025), May 7-9, Konstanz, Germany, Springer, 5/2025.

  3. Qiushi Guo; Shaoxiang Wang; Chun-Peng Chang; Jason Raphael Rambach

    CACP: Context-Aware Copy-Paste to Enrich Image Content for Data Augmentation

    In: Proceedings of the 1st Workshop on Exploring the Next Generation of Data. CVPR Workshop on Exploring the Next Generation of Data (NeXD-25), located at CVPR 2025, June 11, Nashville, TN, USA, IEEE, 2025.

  4. Interactive Multimodal Photobook Co-Creation in Virtual Reality

    In: Companion Proceedings of the 30th International Conference on Intelligent User Interfaces. International Conference on Intelligent User Interfaces (IUI-2025), March 24-27, Cagliari, Italy, Pages 146-151, ISBN 979-8-4007-1409-2, Association for Computing Machinery, New York, NY, USA, 3/2025.

  5. Continual Learning in Multilingual Sign Language Translation

    In: Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers). Annual Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics (NAACL-2025), April 29 - May 4, Albuquerque, New Mexico, USA, Pages 10923-10938, Association for Computational Linguistics, 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. 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.

  9. Tim Dahmen; Niklas Rottmayer; Katja Schladitz; Markus Kronenberger; Ziwei He; Miriam Hommel; Petra Gospodnetic; Claudia Redenbach

    Combining Stochastic Geometry and Neural Models of Electron Matter Interaction for the Simulation of Electron Imaging of Porous Materials

    In: Proceedings of the XI International Conference on Coupled Problems in Science and Engineering. International Conference on Coupled Problems in Science and Engineering (Coupled Problems-2025), May 25-28, Villasimius, Sardinia, Italy, IACM, 2025.