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Publications

Displaying results 221 to 230 of 661.

  1. Hannes Kath; Thiago Gouvea; Daniel Sonntag

    Speeding Up Bioacoustic Data Analysis: Fine-Tuning Deep Models with Active Learning for Efficient Wildlife Detection

    In: GoodIT '25: Proceedings of the 2025 International Conference on Information Technology for Social Good. ACM International Conference on Information Technology for Social Good (GoodIT-2025), located at GoodIT-2025, September 3-5, Antwerpen, Belgium, Association for Computing Machinery, 9/2025.

  2. Francisco Mena; Diego Arenas; Andreas Dengel

    In the search for optimal multi-view learning models for crop classification with global remote sensing data

    In: International Journal of Applied Earth Observation and Geoinformation (JAG), Vol. 143, Pages 0-15, Elsevier, Empowering Smart and Sustainable Agriculture with , 9/2025.

  3. Alexander Michael Rombach; Peter Fettke

    Deep Learning Based Key Information Extraction from Business Documents: Systematic Literature Review

    In: ACM Computing Surveys (CSUR), Vol. 58, No. 2, Pages 1-37, Association for Computing Machinery, New York, NY, USA, 2025.

  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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