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Publications

Displaying results 281 to 290 of 682.

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. Dayananda Herurkar; Jörn Hees; Vesselin Tzvetkov; Andreas Dengel

    Tabular Data Adapters: Pseudo-Labeling Unlabeled Private Tabular Data for Outlier Detection

    In: IEEE Access (Hrsg.). IEEE Access (IEEE), Vol. 14, Pages 25691-25705, IEEE, 2/2026.

  6. Jan-Tilman Seipp; David Reuschenberg; Eren Özveren; Matthias Meyer; Felix Köhler; Leonhard Hennig; David Harbecke; Phuc Tran Truong

    Deep Learning-based Text Mining for Technology Monitoring in the Automotive Domain

    In: Proceedings of GTM 2024. Global TechMining Conference, September 16-17, Berlin, Germany, Global TechMining Conference, 2024.

  7. Xiaoqi Li; Haoyuan Chen; Chen Li; Md Mamunur Rahaman; Xintong Li; Jian Wu; Xiaoyan Li; Hongzan Sun; Marcin Grzegorzek

    What can machine vision do for lymphatic histopathology image analysis: A comprehensive review

    In: ArXiv e-prints (arxiv), Vol. 2201.08550, arXiv, 2022.

  8. Ahmed Anwar; Brian Moser; Dayananda Herurkar; Federico Raue; Vinit Heiste; Tatjana Legler; Andreas Dengel

    FedAD-Bench: A Unified Benchmark for Federated Unsupervised Anomaly Detection in Tabular Data

    In: 2nd Federated Learning Technologies and Applications Conference 2024. International Conference on Federated Learning Technologies and Applications (FLTA-2024), September 17-19, Valencia, Spain, IEEEXplore, 2024.

  9. Ihab Alzalam; Christoph Lipps; Hans Dieter Schotten

    Time-Series Forecasting Models for 5G Mobile Networks: A Comparative Study in a Cloud Implementation

    In: IEEE 15th International Conference on Network of the Future. International Conference on Network of the Future (NoF-2024), October 2-4, Castelldefels (Barcelona), Spain, IEEE, 2024.

  10. Lotfy Abdel Kaliq; Sabine Janzen; Wolfgang Maaß

    Unleashing the Unpredictable: Generating Context-Driven Synthetic Black Swans

    In: Proceedings of Forty-Fifth International Conference on Information Systems. International Conference on Information Systems (ICIS-2024), December 15-18, Bangkok, Thailand, 12/2024.

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