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Publications

Displaying results 271 to 280 of 680.

  1. Ihab Alzalam; Rekha Reddy; Sogo Pierre Sanon; Christoph Lipps; Hans Dieter Schotten

    Demonstration of Real-Time Traffic Forecast on a Live 5G Testbed

    In: 2023 IEEE Future Networks World Forum. IEEE Future Networks World Forum (FNWF-2023), November 13-15, Baltimore, USA, IEEE, 2023.

  2. Yaxu Xie; Alain Pagani; Didier Stricker

    Polar-Ano: Surface Anomaly Detection via Deep Polarization Imaging and Data Synthesis with Physic-based Rendering

    In: 2023 17th International Conference on Signal-Image Technology & Internet-Based Systems. International Conference on Signal-Image Technology & Internet-Based Systems (SITIS-2023), November 8-10, Bangkok, Thailand, IEEE, 2023.

  3. Michael Lutter; Jan Peters

    Combining Physics and Deep Learning to learn Continuous-Time Dynamics Models

    In: International Journal of Robotics Research (IJRR), Vol. abs/2110.01894, Pages 83-107, Sage Publications, 2023.

  4. Natalia Piaseczna; Rafal Doniec; Konrad Duraj; Szymon Sieciński; Marek Jędrychowski; Ewaryst Tkacz; Marcin Grzegorzek

    Distinguishing Drivers with Smart Glasses Data and Deep Neural Network

    In: Ireneusz Czarnowski; Marek Jasiński (Hrsg.). IEEE EUROCON 2025 - 21st International Conference on Smart Technologies. IEEE International Conference on Smart Technologies (EUROCON-2025), June 4-6, Gdynia, Poland, Pages 1-6, Institute of Electrical and Electronics Engineers, 6/2025.

  5. Donald Pfaffmann; Matthias Klusch; Marcel Steinmetz

    HyPlan: Hybrid Learning-Assisted Planning Under Uncertainty for Safe Autonomous Driving

    In: Proceedings of the 37th IEEE Intelligent Vehicles Symposium. IEEE Intelligent Vehicles Symposium (IV-2026), Detroit, MI, USA, IEEE, 2026.

  6. Yuzhou Wang; Xiaojie Li; Frank Kulwa; Xiaoyan Li; Shuochen Tai; Shuaiyi Tian; Kunyang Teng; Marcin Grzegorzek; Xinyu Huang; Tao Jiang; Chen Li

    A Microscopic Image Processing Platform for Multi-class Cell Segmentation Using Deep Learning

    In: Intelligent Medicine, Vol. not yet assigned, Page not yet assigned, Elsevier, 9/2025.

  7. Tianming Du; Tao Jiang; Xuanyi Li; Md Mamunur Rahaman; Marcin Grzegorzek; Chen Li

    Prediction of TP53 mutations across female reproductive system pan-cancers using deep multimodal PET/CT radiogenomics

    In: Frontiers in Medicine, Vol. 12, Pages 1608652-1608652, Frontiers Media SA, 9/2025.

  8. 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.

  9. Leonid Schwenke; Till Stückemann; Martin Atzmueller

    Evaluating Higher-Level and Symbolic Features in Deep Learning on Time Series: Towards Simpler Explainability

    In: Proc. International Work-Conference on Artificial Neural Networks. International Work-Conference on Artificial Neural Networks (IWANN), Springer, 2025.

  10. Harihara Bharathy Swaminathan; Aron Sommer; Uri Iurgel; Andreas Becker; Martin Atzmueller

    Comparative Analysis of Deep Learning-Based Feature Extractors for Change Detection in Automotive Radar Maps

    In: IEEE Access (IEEE), Vol. 13, Pages 130629-130637, IEEE, 2025.

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