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Publications

Displaying results 611 to 620 of 3932.

  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. Dan Hudson; Jurgen van den Hoogen; Stefan Bloemheuvel; Martin Atzmueller

    Stay Tuned! Analysing Hyperparameters of a Wide-Kernel Architecture for Industrial Faults

    In: Proceedings 2024 IEEE Conference on Artificial Intelligence (CAI). IEEE Conference on Artificial Intelligence (CAI-2024), June 25-27, Marina Bay Sands, Singapore, Pages 1350-1356, IEEE Xplore, 2024.

  5. Jurgen Van Den Hoogen; Dan Hudson; Martin Atzmueller

    Data-Hungry Fault Detection Algorithms Can Try Transfer Learning for Starters

    In: Proc. IEEE International Conference on Data Engineering Workshops (ICDEW). IEEE International Conference on Data Engineering (ICDE-2024), Pages 91-95, IEEE, 2024.

  6. Ruud. J. R. Den Hartigh; L. Rens A. Meerhoff; Nico W. Van Yperen; Niklas D. Neumann; Jur J. Brauers; Wouter G. P. Frencken; Ando Emerencia; Yannick Hill; Sebastiaan Platvoet; Martin Atzmueller; Koen A. P. M. Lemmink; Michel S. Brink

    Resilience in Sports: A Multidisciplinary, Dynamic, and Personalized Perspective

    In: International Review of Sport and Exercise Psychology, Vol. 17, No. 1, Pages 564-586, Routledge, 2024.

  7. Arnab Ghosh Chowdhury; David Massanés; Steffen Meinert; Martin Atzmueller

    A Framework for Explanation-Aware Visualization and Adjudication in Object Detection: First Results and Perspectives

    In: J.M. Ferrández Vicente; M. Val Calvo; H. Adeli (Hrsg.). Artificial Intelligence for Neuroscience and Emotional Systems. International Conference on the Interplay between Natural and Artificial Computation (IWINAC-2024), June 4-7, Olhâo, Portugal, Pages 496-506, Lecture Notes in Computer Science (LNCS), Vol. 14674, Springer, Cham, 5/2024.

  8. Harihara Bharathy Swaminathan; Aron Sommer; Uri Iurgel; Andreas Becker; Martin Atzmüller

    Change Detection in Automotive Radar Based Occupancy Maps Using Siamese Networks

    In: 2024 International Radar Symposium (IRS). International Radar Symposium (IRS-2024), located at Microwave and Radar Week (MRW 2024), July 2-4, Poland, Pages 56-61, IEEE, 2024.

  9. Dan Hudson; Martin Atzmueller

    Subgroup Discovery with SD4Py

    In: Proc. European Conference on Artificial Intelligence Workshops. European Conference on Artificial Intelligence (ECAI-2023), ECAI Workshops, Pages 338-348, Springer, 2024.

  10. Dietmar Seipel; Marcel Waleska; Daniel Weidner; Sven Rausch; Martin Atzmueller

    Post--Mining on Association Rule Bases

    In: Proc. European Conference on Artificial Intelligence Workshops. European Conference on Artificial Intelligence (ECAI-2023), Pages 23-35, Springer, 2024.

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