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Publikationen

Zeige Ergebnisse 51 bis 60 von 14796.

  1. 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.

  2. Dayananda Herurkar; Jörn Hees; Vesselin Tzvetkov; Andreas Dengel

    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.

  3. Dayananda Herurkar; Ahmed Anwar; Sebastian Palacio; Jörn Hees; Andreas Dengel

    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.

  4. Samuel Hill

    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.

  5. Ivan Vykopal; Matú¨ Pikuliak; Simon Ostermann; Marián ¦imko

    Assessing Web Search Credibility and Response Groundedness in Chat Assistants

    In: Accepted at 19th Conference of the European Chapter of the Association for Computational Linguistics (Main). Conference of the European Chapter of the Association for Computational Linguistics (EACL), arXiv, 2026.

  6. Malte Högemann; Christian Hauff; Oliver Thomas

    Von Schatten-IT zu Schatten-KI durch ChatGPT: Herausforderungen und Handlungsempfehlungen aus deutschen Unternehmen

    In: Wirtschaftsinformatik & Management (WuM), Vol. Online first - wird nachgereicht, Pages 1-8, Springer, 2/2026.

  7. Anindita Ghosh; Vladislav Golyanik; Taku Komura; Philipp Slusallek; Christian Theobalt; Rishabh Dabral

    SceMoS: Scene-Aware 3D Human Motion Synthesis by Planning with Geometry-Grounded Tokens

    In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. International Conference on Computer Vision and Pattern Recognition (CVPR-2026), June 3-7, Denver, Colorado, CO, USA, Computer Vision Foundation (CVF), 2026.

  8. Aheli Saha; René Schuster; Didier Stricker

    Sensor Generalization for Adaptive Sensing in Event-based Object Detection via Joint Distribution Training

    In: Proceedings of the 15th International Conference on Pattern Recognition Applications and Methods. International Conference on Pattern Recognition Applications and Methods (ICPRAM-2026), 15th International Conference on Pattern Recognition Applications and Methods, March 2-4, Marbella, Spain, Pages 113-124, ISBN 978-989-758-797-9, Scitepress, 2026.

  9. Luca Müller; Mohamed Nadeem; Rolf Drechsler

    Cutwidth Decomposition on Circuit-AIGs: Taming Verification Complexity of Arithmetic Circuits

    In: 27th International Symposium on Quality Electronic Design. International Symposium on Quality Electronic Design (ISQED-2026), April 8-10, San Francisco, USA, 2026.

  10. Aditya Ranjan Dash; Ramy Battrawy; René Schuster; Didier Stricker

    LiREC-Net: A Target-Free and Learning-Based Network for LiDAR, RGB, and Event Calibration

    In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). International Conference on Computer Vision and Pattern Recognition (CVPR-2026), Computer Vision and Pattern Recognition, located at IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR), June 3-7, Denver, Colorado, USA, Computer Vision Foundation (CVF) and IEEE, 2026.

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