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Publikationen

Zeige Ergebnisse 21 bis 30 von 14763.
  1. Cuong Tran Van; Trong-Thang Pham; Ngoc-Son Nguyen; Ho Minh Duy Nguyen; Hong Anh Le

    DuFal: Dual-Frequency-Aware Learning for High-Fidelity Extremely Sparse-view CBCT Reconstruction

    In: Transactions on Machine Learning Research (TMLR), Vol. 12/2025, Pages 1-12, Transactions on Machine Learning Research, 2026.

  2. User-Centric Active Learning through Immersive Visualization

    In: 2026 IEEE Conference Virtual Reality and 3D User Interfaces (VR). IEEE Conference on Virtual Reality and 3D User Interfaces (VR-2026), IEEE, 2026.

  3. Barno Kaharova; Rico Komenda; Taras Holoyad; Adriano Lucieri; Robin Pekerman; Jackie Ma; Daniel Becker; Fabian Malms; Maximilian Poretschkin; Christopher Braun; Helena Monke; Paul Beyer; Dominik Eisl; Lukas Höhndorf; Nicole Schmidt; Matthias Hackert-Oschätzchen; Philipp Plänitz; Maik Liebl; Hans Rabus; Antoine Gautier; Manoj Kahdan; Simon Geschwill; Timo Felser; Annegrit Seyerlein-Klug; Marc Hauer

    DIN SPEC 92006:2026-02 Künstliche Intelligenz - Anforderungen an KI-Prüfwerkzeuge; Text Englisch

    Deutsches Institut für Normung (DIN), DIN SPEC, Vol. 92006, 2/2026.

  4. DiGAN: Diffusion-Guided Attention Network for Early Alzheimer's Disease Detection

    In: 1st AI for Healthy Aging and Longevity Workshop (AIAA). AAAI Conference on Artificial Intelligence (AAAI-2026), AAAI, 2026.

  5. Do You (Dis)agree With Me? Modelling Implicit User Disagreement in Human–AI Interaction Using Gaze Data

    In: Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems. ACM International Conference on Human Factors in Computing Systems (CHI-2026), April 13-17, Barcelona, Spain, Association for Computing Machinery (ACM), 2026.

  6. KI für eine sichere Gesellschaft

    In: Maximilian Wanderwitz. Risikoanalyse Künstliche Intelligenz. Pages 381-421, ISBN 978-3-662-72661-7, Springer Berlin Heidelberg, Berlin, Heidelberg, 2026.

  7. ReLaGS: Relational Language Gaussian Splatting

    In: Proc. of. International Conference on Computer Vision and Pattern Recognition (CVPR-2026), IEEE/CVF, 2026.

  8. Jan Tauberschmidt; Sophie Fellenz; Sebastian Vollmer; Andrew B. Duncan

    Physics-Constrained Fine-Tuning of Flow-Matching Models for Generation and Inverse Problems

    In: The Fourteenth International Conference on Learning Representations. International Conference on Learning Representations (ICLR), located at ICLR-2026, April 23-27, Rio de Janeiro, Brazil, ICLR, 2026.

  9. Mohamed Karim Belaid; Maximilian Rabus; Eyke Hüllermeier

    Uncertainty Quantification in Pairwise Difference Learning for Classification

    In: Machine Learning, Vol. 115, No. 1, Pages 12-12, Springer, 2026.

  10. Anja Henke; Jason M Harley; Negar Matin; Johann Chevalère; Verena V Hafner; Niels Pinkwart; Rebecca Lazarides

    Multimodal perspectives on affective dynamics in an intelligent tutoring system

    In: Learning and Instruction, Vol. 103, Pergamon, 1/2026.