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Publications

Displaying results 51 to 60 of 5313.

  1. 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.

  2. 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.

  3. Daniel Reti; Norman Becker; Tillmann Angeli; Anasuya Chattopadhyay; Daniel Schneider; 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.

  4. Shishir Muralidhara; René Schuster; Didier Stricker

    Domain-Incremental Semantic Segmentation for Autonomous Driving under Adverse Driving Conditions

    In: Proceedings of the International Conference on Pattern Recognition Applications and Methods. International Conference on Pattern Recognition Applications and Methods (ICPRAM-2025), February 23-25, Porto, Portugal, Scitepress, 2025.

  5. Christoph Tholen; Eike Rodenbäck; Lars Nolle; Robert Rettig; Frederic Stahl

    On the Development of a Pixel-Wise Plastic Waste Identification System for Multispectral Remote Sensing Applications

    In: Max Bramer; Frederic Stahl (Hrsg.). Artificial Intelligence XLI. SGAI International Conference on Artificial Intelligence (AI-2024), December 17-19, Oxford, United Kingdom, Pages 47-60, ISBN 978-3-031-77915-2, Springer Nature Switzerland, 2025.

  6. Igor Vozniak; Pavel Astreika; Philipp Müller; Nils Lipp; Christian Müller; Philipp Slusallek

    HD-VoxelFlex: Flexible High-Definition Voxel Grid Representation

    In: VISIGRAPP (4): VISAPP. International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications (VISIGRAPP-2024), SCITEPRESS, 2024.

  7. Tristan Schneider; Matheus V. A. Pedrosa; Timo P. Gros; Verena Wolf; Kathrin Flaßkamp

    Motion Primitives as the Action Space of Deep Q-Learning for Planning in Autonomous Driving

    In: IEEE Transactions on Intelligent Transportation Systems, Vol. 25, No. 11, Pages 17852-17864, IEEE, 9/2024.

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

    Pattern Recognition, 27th International Conference, ICPR 2024 Kolkata, India, December 1-5, 2024 Proceedings, Part XII

    In: Apostolos Antonacopoulos; Subhasis Chaudhuri; Rama Chellappa; Cheng-Lin Liu; Saumik Bhattacharya; Umapada Pal (Hrsg.). Pattern Recognition 27th International Conference, ICPR 2024 Kolkata, India, December 1–5, 2024 Proceedings, Part XII. 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.

  9. Chi Zhang; Janis Sprenger; Zhongjun Ni; Christian Berger

    Predicting Pedestrian Crossing Behavior in Germany and Japan: Insights into Model Transferability

    In: IEEE Transactions on Intelligent Vehicles (T-IV), Vol. 1, Pages 1-16, IEEE, 12/2024.

  10. Miro Miranda Lorenz; Marcela Charfuelan; Andreas Dengel

    Exploring Physics-Informed Neural Networks for Crop Yield Loss Forecasting

    In: Tackling Climate Change with Machine Learning (Hrsg.). NeurIPS 2024 Workshop on Tackling Climate Change with Machine Learning. Neural Information Processing Systems (NeurIPS-2024), NeurIPS 2024, located at NeurIPS, December 10-15, Vancouver, Britsh Columbia, Canada, DFKI Research Reports (RR), NeurIPS, 2024.

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