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  1. Passant Alagroudy; Jie Li; Albecht Schmidt; Paul Lukowicz; Kaisa Väänänen; Hirishi Ishii; Antti Oulasvirta; Rui Prada; Giulia Barbareschi; Agnes Grünerbl; Abdallah El Ali; Anicia Peters; Alexandra Deining; Fiona Draxler; Wendy Mackay; Elisatheth Churchill; Julie Williamson; Robin Welsch; Midori Kawaguchi

    Transforming HCI Methods using GenAI and "Large Whatever Models" (LWMs)

    In: Special Interest Group at the ACM CHI Conference on Human Factors in Computing Systems. ACM International Conference on Human Factors in Computing …

  2. Segment Anything for Microscopy

    In: Nature, Vol. None, Pages 1-30, Nature Methods, 8/2024.

  3. Enhancing Stress Detection for Students: Exploring the Impact of Fine-Tuning and User-Specific Data Calibration in Deep Learning

    In: International Journal of Activity and Behavior Computing, Vol. 2024, Pages 1-21, J-Stage, 2024.

  4. A Unique Training Strategy to Enhance Language Models Capabilities for Health Mention Detection from Social Media Content

    In: Proceedings of ICAART 2024. International Conference on Agents and Artificial Intelligence (ICAART-2024), February 24-26, Rome, Italy, SCITEPRESS, …

  5. Pervaiz Iqbal Khan; Adread Dengel; Sheraz Ahmed

    Medi-CAT: Contrastive Adversarial Training for Medical Image Classification

    In: Proceedings of ICAART 2024. International Conference on Agents and Artificial Intelligence (ICAART-2024), February 24-26, Rome, Italy, SCITEPRESS, …

  6. Impact Assessment of Missing Data in Model Predictions for Earth Observation Applications

    In: Proceedings of the IEEE International Geoscience and Remote Sensing Symposium 2024. IEEE International Geoscience and Remote Sensing Symposium …

  7. Marco Maass; Christine Droigk; Hannes Albers; Konrad Scheffler; Alfred Mertins; Tobias Kluth; Tobias Knopp

    Magnetic particle imaging with non-orientedimmobilized particles: Why the Langevinmodel of paramagnetism is sufficient

    In: International Journal on Magnetic Particle Imaging, Vol. 10, No. 1, Suppl 1, Pages 1-4, Infinite Science Publishing, 3/2024.

  8. AI Engineering for Trust by Design

    In: Survey of Tools for Software Engineering, Vol. 2024, No. 1, Pages 20-22, United Innovations, 3/2024.

  9. Sparse Semi-DETR: Sparse Learnable Queries for Semi-Supervised Object Detection

    In: The IEEE/CVF Conference on Computer Vision and Pattern Recognition 2024. International Conference on Computer Vision and Pattern Recognition …