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Publikationen

Zeige Ergebnisse 201 bis 210 von 2317.

  1. Mark Niemeyer

    Spatio-Temporal-Semantic Sensor Data Management With Use Cases in Agricultural Robotics

    PhD-Thesis, Universität Osnabrück, 2026.

  2. Wei Jiang; Hans Dieter Schotten

    A Heterogeneous Massive MIMO Technique for Uniform Service in Cellular Networks

    In: Proceedings of the IEEE International Conference on Communications. IEEE International Conference on Communications (ICC-2026), May 24-28, Glasgow, United Kingdom, IEEE, 5/2026.

  3. Donald Pfaffmann; Matthias Klusch; Marcel Steinmetz

    HyPlan: Hybrid Learning-Assisted Planning Under Uncertainty for Safe Autonomous Driving

    In: Proceedings of the 37th IEEE Intelligent Vehicles Symposium. IEEE Intelligent Vehicles Symposium (IV-2026), Detroit, MI, USA, IEEE, 2026.

  4. Jonas Schmidinger; Viacheslav Barkov; Sebastian Vogel; Martin Atzmueller; Gerard B.M. Heuvelink

    Kriging prior regression: A case for kriging-based spatial features with TabPFN in soil mapping

    In: Computers and Electronics in Agriculture, Vol. 243, Pages 1-17, Elsevier, 2026.

  5. 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.

  6. 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.

  7. 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.

  8. 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.

  9. Muhammad Saif Ullah Khan; Didier Stricker

    SIMSPINE: A Biomechanics-Aware Simulation Framework for 3D Spine Motion Annotation and Benchmarking

    In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). International Conference on Computer Vision and Pattern Recognition (CVPR-2026), June 3-7, Denver, Colorado, USA, Pages 21176-21187, IEEE, 6/2026.

  10. Sofija Engelson; Yannic Elser; Malte Maria Sieren; Jan Ehrhardt; Julia Andresen; Stefanie Schierholz; Tobias Keck; Daniel Drömann; Jörg Barkhausen; Heinz Handels

    Deep learning-based mediastinal lymph node assessment on PET/CT images without pixel-level annotations

    In: Journal of Medical Imaging (JMI), Vol. 13, No. 1, Pages 1-18, SPIE, 2/2026.

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