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Publications

Displaying results 921 to 930 of 15099.

  1. Timo P. Gros; Nicola Müller; Daniel Höller; Verena Wolf

    Safe Reinforcement Learning Through Regret and State Restorations in Evaluation Stages

    In: Workshop on Reliable Data-Driven Planning and Scheduling. International Conference on Automated Planning and Scheduling (ICAPS-2024), Springer, 2024.

  2. Bernd Finkbeiner; Felix Jahn; Julian Siber

    Counterfactual Explanations for MITL Violations

    In: Siddharth Barman; Slawomir Lasota (Hrsg.). 44th IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science (FSTTCS 2024). IARCS Annual Conference on Foundations of Software Technology and Theoretical Computer Science (FSTTCS-2024), December 16-18, Pages 22:1-22:25, Leibniz International Proceedings in Informatics (LIPIcs), Vol. 323, ISBN 978-3-95977-355-3, Schloss Dagstuhl -- Leibniz-Zentrum für Informatik, Dagstuhl, Germany, 12/2024.

  3. Joshua Meyer; Alexander Rath; Ömercan Yazici; Philipp Slusallek

    MARS: Multi-sample Allocation through Russian roulette and Splitting

    In: SIGGRAPH Asia 2024 Conference Papers. ACM SiggraphAsia (SigAsia-2024), December 3-6, Tokyo, Japan, SA '24 (SA '24), ISBN 9798400711312, Association for Computing Machinery, New York, NY, USA, 12/2024.

  4. 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.

  5. 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.

  6. Malte Wirkus; Jonathan Babel; Christian Backe

    Advantages of Active and Passive Suspension Systems in Obstacle Negotiation for Planetary Rovers

    In: Karsten Berns; Mohammad Osman Tokhi; Arne Roennau; Manuel F. Silva; Rüdiger Dillmann (Hrsg.). Walking Robots into Real World. International Conference on Climbing and Walking Robots and the Support Technologies for Mobile Machines (CLAWAR-2024), September 4-6, Kaiserslautern, Germany, Pages 169-180, Lecture Notes in Networks and Systems, Vol. 1115, No. 2, ISBN 978-3-031-71300-2 978-3-031-71301-9, Springer Nature Switzerland, Cham, 1/2025.

  7. 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.

  8. 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.

  9. Vinit Vikas Hegiste; Tatjana Legler; Martin Ruskowski

    Federated Ensemble YOLOv5 – A Better Generalized Object Detection Algorithm

    In: 2023 Eighth International Conference on Fog and Mobile Edge Computing (FMEC). International Conference on Fog and Mobile Edge Computing (FMEC-2023), September 18-20, Tartu, Estonia, Pages 7-14, IEEE, 2023.

  10. Tapanta Bhanja; Jonathan Nußbaum; Khalil Abuibaid; Tatjana Legler; Achim Wagner; Martin Ruskowski

    The need for neuromorphic computing in industrial robotics

    In: 2023 International Conference on Artificial Intelligence and Power Engineering (AIPE). International Conference on Artificial Intelligence and Power Engineering (AIPE-2023), October 20-22, Tokyo, Japan, Pages 42-49, IEEE, 2023.

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