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Publikationen

Zeige Ergebnisse 1451 bis 1460 von 11303.

  1. Faraz Ahmad; Tom Creutz; Christian Ernst Siegfried Koch; Bilal Wehbe

    A Deep-Learning Approach for Visual Detection of an AUV Docking Station

    In: Proceedings of Oceans 2024. OCEANS MTS/IEEE Conference (OCEANS-2024), Halifax, September 23-26, Halifax, Canada, IEEE, 2024.

  2. Nghia Duong-Trung; Xia Wang; Milos Kravcik

    BloomLLM: Large Language Models Based Question Generation Combining Supervised Fine-Tuning and Bloom’s Taxonomy

    In: Rafael Ferreira Mello; Nikol Rummel; Ioana Jivet; Gerti Pishtari; José A. Ruipérez Valiente (Hrsg.). Technology Enhanced Learning for Inclusive and Equitable Quality Education. European Conference on Technology Enhanced Learning (EC-TEL-2024), 19th European Conference on Technology Enhanced Learning, September 16-20, Krems, Austria, Pages 93-98, Lecture Notes in Computer Science (LNCS), Vol. 15160, ISBN 978-3-031-72311-7, Springer, Cham, 9/2024.

  3. Fabian Schmeisser; Andreas Dengel; Sheraz Ahmed

    Point-Based Weakly Supervised 2.5D Cell Segmentation

    In: Michael Wand; Kristina Malinovska; Jürgen Schmidhuber; Igor V. Tetko (Hrsg.). 33rd International Conference on Artificial Neural Networks Lugano, Switzerland, September 17–20, 2024 Proceedings, Part VIII. International Conference on Artificial Neural Networks (ICANN-2024), Springer, 2024.

  4. Qianli Wang; Tatiana Anikina; Nils Feldhus; Simon Ostermann; Sebastian Möller

    CoXQL: A Dataset for Parsing Explanation Requests in Conversational XAI Systems

    In: Yaser Al-Onaizan; Mohit Bansal; Yun-Nung (Vivian) Chen (Hrsg.). Findings of the Association for Computational Linguistics: EMNLP 2024. Conference on Empirical Methods in Natural Language Processing (EMNLP-2024), November 11-16, Miami, Florida, USA, Association for Computational Linguistics, 2024.

  5. David Kaub; Christian Lohr; Anelyse Reis David; Monotosch Kumar Das Chandan; Hilal Chanekar; Tung Nguyen; Jan Ole Berndt; Ingo J. Timm

    Shortest-Path-Based Resilience Analysis of Urban Road Networks

    In: Michael Freitag; Aseem Kinra; Herbert Kotzab; Megow Nicole (Hrsg.). Dynamics in Logistics. International Conference on Dynamics in Logistics (LDIC-2024), located at 9th International Conference LDIC 2024, February 14-16, Bremen, Germany, Pages 132-143, Lecture Notes in Logistics (LNL), ISBN 978-3-031-56825-1, Springer, Cham, 4/2024.

  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. 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.

  9. 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.

  10. 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.

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