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Publikationen

Zeige Ergebnisse 61 bis 70 von 14767.
  1. 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.

  2. 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.

  3. Yaxu Xie; Abdalla Elsayed Abdou Elsayed Mohamed Arafa; Alireza Javanmardi; Christen Millerdurai; Jia Cheng Hu; Shaoxiang Wang; Alain Pagani; Didier Stricker

    ReLaGS: Relational Language Gaussian Splatting

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

  4. 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.

  5. 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.

  6. 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.

  7. Rezaul Tutul; Ilona Buchem; André Jakob; Niels Pinkwart

    Evaluating Intrinsic Motivation in Robot-Supported Quiz-Based Learning: A Comparative Study of Verbal-Only and Multimodal Feedback with Sound Input

    In: Acta Informatica Pragensia, Vol. 15, No. 1, Pages 109-125, Prague University of Economics and Business, 1/2026.

  8. 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.

  9. Fin-Fed-OD: Enhancing Outlier Detection Using Federated Learning on Financial Tabular Data

    In: International Conference on Federated Learning Technologies and Applications (FLTA). International Conference on Federated Learning Technologies and Applications (FLTA-2025), located at FLTA25, October 14-17, Dubrovnik, Croatia, Pages 40-47, DFKI Research Reports (RR), ISBN 979-8-3315-5670-9, IEEE, 1/2026.

  10. Adaptive Trust Infrastructures for AI: From an AI ClinicalTrials.gov framework to a Human-AI Workforce

    In: Mark Nitzberg; Stuart Russell; Atoosa Kasirzadeh; Jime Fernandez Fisac; Adam Gleave (Hrsg.). Proceedings of the Second Annual Conference of International Association for Safe and Ethical Artificial Intelligence. Annual Conference of The International Association for Safe & Ethical Artificial Intelligence (IASEAI-2026), February 24-26, Paris, France, IASEAI, 2/2026.