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Publications

Displaying results 111 to 120 of 667.

  1. Md Abid Hasan; Frédéric Li; Vivian Tetzlaff-Lelleck; Franziska Schmelter; Greta Marie Ahlemann; Lennart Jablonski; Xinyu Huang; Christian Sina; Marcin Grzegorzek

    Deep-learning-based Detection of Food Hypersensitivity from Confocal Laser Endomicroscopy Images of the Gastro-intestinal Tract

    In: Tung X. Bui (Hrsg.). 58th Hawaii International Conference on System Sciences 2025. Proceedings. Hawaii International Conference on System Sciences (HICSS-2025), January 7-10, Pages 3290-3299, ISBN 978-0-9981331-8-8, University of Hawaii Press, 2025.

  2. Shanchuan Huang; Hongwei Lei; Jinzhu Yang; Tao Hang; Liuhan Jin; Yudong Yao; Marcin Grzegorzek; Chen Li

    An Attention Mechanism and Ensemble Learning based on Dermoscopic Image Classification.

    In: Journal of Imaging Science & Technology (JIST), Vol. 68, No. 4, Pages 1-14, Society for Imaging Science and Technology, 7/2024.

  3. Xinyu Huang; Franziska Schmelter; Annemarie Uhlig; Muhammad Tausif Irshad; Muhammad Adeel Nisar; Artur Piet; Lennart Jablonski; Oliver Witt; Torsten Schröder; Christian Sina; Marcin Grzegorzek

    Comparison of feature learning methods for non-invasive interstitial glucose prediction using wearable sensors in healthy cohorts: a pilot study

    In: Intelligent Medicine, Vol. 4, No. 4, Pages 226-238, Elsevier, 11/2024.

  4. Dan Hudson; Jurgen van den Hoogen; Stefan Bloemheuvel; Martin Atzmueller

    Stay Tuned! Analysing Hyperparameters of a Wide-Kernel Architecture for Industrial Faults

    In: Proceedings 2024 IEEE Conference on Artificial Intelligence (CAI). IEEE Conference on Artificial Intelligence (CAI-2024), June 25-27, Marina Bay Sands, Singapore, Pages 1350-1356, IEEE Xplore, 2024.

  5. Jurgen Van Den Hoogen; Dan Hudson; Martin Atzmueller

    Data-Hungry Fault Detection Algorithms Can Try Transfer Learning for Starters

    In: Proc. IEEE International Conference on Data Engineering Workshops (ICDEW). IEEE International Conference on Data Engineering (ICDE-2024), Pages 91-95, IEEE, 2024.

  6. Harihara Bharathy Swaminathan; Aron Sommer; Uri Iurgel; Andreas Becker; Martin Atzmüller

    Change Detection in Automotive Radar Based Occupancy Maps Using Siamese Networks

    In: 2024 International Radar Symposium (IRS). International Radar Symposium (IRS-2024), located at Microwave and Radar Week (MRW 2024), July 2-4, Poland, Pages 56-61, IEEE, 2024.

  7. Ankur Bhatt; Ko Watanabe; Jayasankar Santhosh; Andreas Dengel; Shoya Ishimaru

    Estimating Self-Confidence in Video-Based Learning Using Eye-Tracking and Deep Neural Networks

    In: IEEE Access (IEEE), Vol. 12, Pages 192219-192229, IEEE, 2024.

  8. Ho Minh Duy Nguyen; Hasan Md Tusfiqur Alam; Tai Nguyen; Devansh Srivastav; Hans-Jürgen Profitlich; Ngan Le; Daniel Sonntag

    Deep Learning for Ophthalmology - The State-of-the-Art and Future Trends

    DFKI, DFKI Research Reports (RR), Vol. 01, 2024.

  9. Niharika Hegde; Shishir Muralidhara; René Schuster; Didier Stricker

    Modality-Incremental Learning with Disjoint Relevance Mapping Networks for Image-based Semantic Segmentation

    In: IEEE Winter Conference on Applications of Computer Vision. IEEE Winter Conference on Applications of Computer Vision (WACV-2025), February 28 - March 4, Tucson, AZ, USA, IEEE, 2025.

  10. Dayananda Herurkar; Federico Raue; Andreas Dengel

    Tab-Distillation: Impacts of Dataset Distillation on Tabular Data For Outlier Detection

    In: Association for Computing Machinery (ACM) (Hrsg.). Proceedings of the 5th ACM International Conference on AI in Finance. International Conference on AI in Finance (ICAIF-2024), ICAIF '24, located at ICAIF, November 14-17, Brooklyn, New York, New York, USA, Pages 804-812, Proceedings of the 5th ACM International Conference on AI in Finance (ICAIF '24), No. 9, ISBN 9798400710810, Association for Computing Machinery, New York, NY, USA, 11/2024.

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