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Publications

Displaying results 1101 to 1110 of 13716.

  1. Daniel Sonntag; Michael Barz; Thiago Gouvea

    A look under the hood of the Interactive Deep Learning Enterprise (No-IDLE)

    German Research Center for AI, DFKI Technical Report, 6/2024.

  2. Florian Brand; Lukas Malburg; Ralph Bergmann

    Large Language Models as Knowledge Engineers

    In: Lukas Malburg (Hrsg.). Proceedings of the Workshops at the 32nd International Conference on Case-Based Reasoning (ICCBR-WS 2024) co-located with the 32nd International Conference on Case-Based Reasoning (ICCBR 2024), Mérida, Mexico, July 1, 2024. International Conference on Case-Based Reasoning (ICCBR-2024), Pages 3-18, CEUR Workshop Proceedings, Vol. 3708, CEUR-WS.org, 2024.

  3. Mirko Lenz; Lukas Malburg; Ralph Bergmann

    CBRkit: An Intuitive Case-Based Reasoning Toolkit for Python

    In: Case-Based Reasoning Research and Development. International Conference on Case-Based Reasoning (ICCBR-2024), Merida, Mexico, Pages 289-304, Lecture Notes in Computer Science (LNCS), Vol. 14775, ISBN 978-3-031-63646-2, Springer Nature Switzerland, Cham, 2024.

  4. Lukas Malburg; Maxim Hotz; Ralph Bergmann

    Improving Complex Adaptations in Process-Oriented Case-Based Reasoning by Applying Rule-Based Adaptation

    In: Case-Based Reasoning Research and Development - 32nd International Conference, ICCBR 2024, Merida, Mexico, July 1-4, 2024, Proceedings. International Conference on Case-Based Reasoning (ICCBR-2024), Pages 50-66, Lecture Notes in Computer Science, Vol. 14775, Springer, 2024.

  5. Hitesh Kotte; Florian Daiber; Milos Kravcik; Nghia Duong-Trung

    FitSight: Tracking and Feedback Engine for Personalized Fitness Training

    In: Proceedings of the 32nd ACM Conference on User Modeling, Adaptation and Personalization. International Conference on User Modeling, Adaptation, and Personalization (UMAP-2024), July 1-4, Cagliari, Italy, Pages 223-231, ISBN 979-8-4007-0433-8, ACM, New York, USA, 6/2024.

  6. Alexander Pögelt; Katja Ihsberner; Norbert Pengel; Milos Kravcik; Martin Grüttmüller; Wolfram Hardt

    Individualised Mathematical Task Recommendations through Intended Learning Outcomes and Reinforcement Learning

    In: Angelo Sifaleras; Fuhua Lin (Hrsg.). Generative Intelligence and Intelligent Tutoring Systems. International Conference on Intelligent Tutoring Systems (ITS-2024), located at 20th International Conference, ITS 2024, June 10-13, Thessaloniki, Greece, Pages 117-130, Lecture Notes in Computer Science (LNCS), Vol. 14798, ISBN 978-3-031-63027-9, 978-3-031-63028-6, Springer, Cham, 6/2024.

  7. Noon Pokaratsiri; Saadullah Amin; Günter Neumann (Hrsg.)

    Proceedings of TextGraphs-17: Graph-based Methods for Natural Language Processing

    Annual Meeting of the Association for Computational Linguistics (ACL-2024), The 62nd Annual Meeting of the Association of Computational Linguistics, located at ACL, August 11-16, Bangkok, Thailand, ISBN 979-8-89176-145-2, Association for Computational Linguistics (ACL), 8/2024.

  8. Shubham Vyas; Marko Jankovic; Frank Kirchner

    Momentum based classification for robotic active debris removal

    In: Journal of Space Safety Engineering (JSSE), Vol. 9, No. 4, Pages 649-655, Elsevier, 2022.

  9. Arne Böckmann; Janosch Machowinski; Haider Khan Lodhi

    Advanced Multi-Surface Navigation for Unmanned Ground Vehicles (UGVs) Using 4D Path Planning Techniques (ugv_nav4d)

    In: Journal of Open Source Software (JOSS), Vol. n.n. Pages n.n.-n.n. JOSS, 2024.

  10. Tim Dahmen; Niklas Rottmayer; Markus Kronenberger; Katja Schladitz; Claudia Redenbach

    A Neural Model for High-Performance Scanning Electron Microscopy Image Simulation of Porous Materials

    In: Synthetic Data for Computer Vision Workshop @ CVPR 2024. CVPR Workshop on Synthetic Data for Computer Vision (SynData4CV-2024), located at CVPR 2024, June 18, Seattle, OR, USA, CFV, 6/2024.

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