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Publikationen

Zeige Ergebnisse 951 bis 960 von 14517.

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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.

  7. Arne Böckmann; Janosch Machowinski; Haider Khan Lodhi

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

    In: Journal of Open Source Software (JOSS), Vol. n.n. Pages n.n.-n.n. JOSS, 12/2024.

  8. Joshua Niemeijer; Jan Ehrhardt; Hristina Uzunova; Heinz Handels

    TSynD: Targeted Synthetic Data Generation for Enhanced Medical Image Classification

    In: ArXiv e-prints (arxiv), Vol. 0, Pages 1-10, arXiv, 2024.

  9. Théo Vincent; Fabian Wahren; Jan Peters; Boris Belousov; Carlo D’Eramo (Hrsg.)

    Adaptive Q-Network: On-the-fly Target Selection for Deep Reinforcement Learning

    European Workshop on Reinforcement Learning (EWRL-2024), 17th European Workshop on Reinforcement Learning, European Workshop on Reinforcement Learning, 2024.

  10. Alexander Wilhelm; Katharina Anna Zweig

    A Socioinformatic Approach to xAI

    In: Machine Learning and Knowledge Discovery in Databases. European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD), September 9-13, Springer Nature, 2024.

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