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Publikationen

Zeige Ergebnisse 1421 bis 1430 von 14672.

  1. Daniel Reti; Norman Becker; Tillmann Angeli; Anasuya Chattopadhyay; Daniel Schneider-Wetzel; Sebastian Vollmer; Hans Dieter Schotten

    Act as a Honeytoken Generator! An Investigation into Honeytoken Generation with Large Language Models

    In: AACD '24: Proceedings of the 11th ACM Workshop on Adaptive and Autonomous Cyber Defense. ACM Workshop on Adaptive and Autonomous Cyber Defense (AACD-24), located at ACM Conference on Computer and Communications Security (CCS '24), October 14, Salt Lake City, USA, ISBN 979-8-4007-1231-9, Association for Computing Machinery, New York, NY, USA, 12/2024.

  2. Tobias Pfandzelter; David Bermbach; Robert Vilter; Ingo Friese; Sergiy Melnyk; Qiuheng Zhou; Hans D Schotten (Hrsg.)

    Towards Anti-Collision Coordination for UAVs with Serverless Edge Computing

    IEEE International Conference on Cloud Engineering (IC2E-2024), September 24-27, Paphos, Cyprus, IEEE, IEEE Xplore, 9/2024.

  3. Harihara Bharathy Swaminathan; Aron Sommer; Uri Iurgel; Andreas Becker; Martin Atzmueller

    Improving Deep Learning Change Detection in Automotive Radar Maps by Data Augmentation

    In: Proceedings of the International Conference Radar. International Conference Radar (RADAR-2024), October 21-25, Rennes, France, Pages 56-61, IEEE, 2024.

  4. Alexander Michael Rombach; Johannes Lahann; Tim Niesen; Peter Fettke

    Utilizing Deep Learning for Field-Level Information Extraction from German Real Estate Tax Notices

    In: Journal of Emerging Technologies in Accounting (JETA), Vol. 22, Pages 1-18, American Accounting Association, 12/2024.

  5. Payal Varshney; Adriano Lucieri; Christoph Peter Balada; Andreas Dengel; Sheraz Ahmed

    Generating Counterfactual Trajectories with Latent Diffusion Models for Concept Discovery

    In: Apostolos Antonacopoulos; Subhasis Chaudhuri; Rama Chellappa; Cheng-Lin Liu; Saumik Bhattacharya; Umapada Pal (Hrsg.). Pattern Recognition. International Conference on Pattern Recognition (ICPR-2024), located at 27th International Conference, ICPR 2024, December 1-5, Kolkata, India, DFKI Research Reports (RR), ISBN 978-3-031-78198-8, Springer Nature Link, Cham, 12/2024.

  6. Christoph Manss

    Multi-Agent Exploration under Sparsity Constraints

    PhD-Thesis, TU Delft, 2024.

  7. Muhammad Moiz Sakha; Florian Daiber; Christoph Tieben; Matthias Enders

    Virtual Breeding Nursery: Towards a VR Digital Twin for Plant Breeding

    In: Proceedings of the 2024 ACM Symposium on Spatial User Interaction. ACM Symposium on Spatial User Interaction (SUI-2024), New York, NY, USA, SUI '24, ISBN 9798400710889, Association for Computing Machinery, 2024.

  8. Maxx Richard Rahman; Ruoxuan Liu; Wolfgang Maaß

    Incorporating Metabolic Information into LLMs for Anomaly Detection in Clinical Time-Series

    In: Time Series in the Age of Large Models Workshop at Neural Information Processing Systems (NeurIPS). Neural Information Processing Systems (NeurIPS-2024), NeurIPS, 2024.

  9. Maxx Richard Rahman; Wolfgang Maaß

    Generative AI in Anti-Doping Analysis in Sports

    In: Carlo Dindorf; Eva Bartaguiz; Freya Gassmann; Michael Fröhlich. Artificial Intelligence in Sports, Movement, and Health. Chapter 6, Pages 81-95, Springer, 2024.

  10. Dennis Mronga; Shivesh Kumar; Frank Kirchner

    Whole-body control

    In: Shivesh Kumar; Andreas Mueller; Frank Kirchner. Biologically Inspired Series-Parallel Hybrid Robots. Chapter 9, ISBN 978-0-323-88482-2, Elsevier, 2024.

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