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Publikationen

Zeige Ergebnisse 221 bis 230 von 14896.

  1. Jürgen Mangler; Ronny Seiger; Janik-Vasily Benzin; Joscha Grüger; Yusuf Kirikkayis; Florian Gallik; Lukas Malburg; Matthias Ehrendorfer; Yannis Bertrand; Marco Franceschetti; Barbara Weber; Stefanie Rinderle-Ma; Ralph Bergmann; Estefanía Serral Asensio; Manfred Reichert

    From Internet of Things Data to Business Processes: Challenges and a Framework

    In: Giancarlo Fortino; Massimo Mecella. Internet of Things Meets Business Process Management: A Synergistic Integration. Pages 25-61, ISBN 978-3-031-90746-3, Springer, 2026.

  2. Ahmed H. Elsayed; Christoph Manss; Tarek Elmihoub; Andrej Lejman; Frederic Theodor Stahl

    Towards Robotic Lake Maintenance: Integrating SONAR and Satellite Data to Assist Human Operators

    In: Proceedings of the 12th International Conference on Mechatronics and Robotics Engineering (ICMRE 2026). International Conference on Mechatronics and Robotics Engineering (ICMRE-2026), March 2-4, Oldenburg, Germany, Pages 143-148, ISBN 979-8-3315-6366-0, IEEE Xplore, 5/2026.

  3. 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.

  4. Christoph Tieben; Robert Rettig; Benjamin Kisliuk; Andrej Lejman; Christoph Manß; Kai A. von Szadkowski; Martin Atzmueller

    Auf dem Weg zu einer KI-gestützten Gewässer- und Wasseransammlungsdetektion zur adaptiven Steuerung von Pflanzenschutz- und Düngerapplikation auf Landmaschinen

    In: Informatik in der Land-, Forst- und Ernährungswirtschaft -- Referate der 46. GIL-Jahrestagung. Jahrestagung der Gesellschaft für Informatik in der Land-, Forst- und Ernährungswirtschaft (GIL-2026), Gesellschaft für Informatik e.V. 2026.

  5. Marian Renz; Martin Günther; Felix Igelbrink; Oscar Lima; Martin Atzmueller

    ExPrIS: Knowledge-Level Expectations as Priors for Object Interpretation from Sensor Data

    In: Lars Kunze (Hrsg.). KI - Künstliche Intelligenz, German Journal on Artificial Intelligence - Organ des Fachbereiches "Künstliche Intelligenz" der Gesellschaft für Informatik e.V. (KI), Springer Nature, 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. 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.

  10. Shreedhar Govil; Didier Stricker; Jason Raphael Rambach

    DriverGaze360: OmniDirectional Driver Attention with Object-Level Guidance

    In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). International Conference on Computer Vision and Pattern Recognition (CVPR), June 3-7, Denver, Colorado, United States Minor Outlying Islands, IEEE, 2026.

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