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Publikationen

Zeige Ergebnisse 1301 bis 1310 von 14908.

  1. 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.

  2. 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.

  3. Ankur Bhatt; Ko Watanabe; Jayasankar Santhosh; Andreas Dengel; Shoya Ishimaru

    Estimating Self-Confidence in Video-Based Learning Using Eye-Tracking and Deep Neural Networks

    In: IEEE Access (IEEE), Vol. 12, Pages 192219-192229, IEEE, 2024.

  4. Mohammad Hossein Rimaz; Christiane Plociennik; Martin Ruskowski

    Semantic Asset Administration Shell for Circular Economy

    Mastersthesis, Deutsches Forschungszentrum für Künstliche Intelligenz GmbH (DFKI), 2024.

  5. Jibinraj Antony; Vinit Vikas Hegiste; Ali Nazeri; Hooman Tavakoli Ghinani; Snehal Walunj; Christiane Plociennik; Martin Ruskowski

    Enhancing Object Detection Performance for Small Objects Through Synthetic Data Generation and Proportional Class-Balancing Technique: A Comparative Study in Industrial Scenarios

    In: Achim Wagner; Kosmas Alexopoulos; Sotiris Makris (Hrsg.). Advances in Artificial Intelligence in Manufacturing. European Symposium on Artificial Intelligence in Manufacturing (ESAIM-2023), Cham, Pages 90-105, ISBN 978-3-031-57496-2, Springer Nature Switzerland, 2024.

  6. Sofija Engelson; Jan Ehrhardt; Timo Kepp; Joshua Niemeijer; Heinz Handels

    LNQ Challenge 2023: Learning Mediastinal Lymph Node Segmentation with a Probabilistic Lymph Node Atlas

    In: Steve Pieper; Erik Ziegler; Tawa Idris; Bhanusupriya Somarouthu; Reuben Dorent; Gordon Harris; Ron Kikinis (Hrsg.). Machine Learning for Biomedical Imaging (MELBA), Vol. 2, No. MICCAI 2023 LNQ challenge special issue, Pages 817-833, MELBA Journal, 5/2024.

  7. Jana-Rebecca Rehse; Sander J. J. Leemans; Peter Fettke; Jan Martijn E. M. van der Werf

    On Process Discovery Experimentation: Addressing the Need for Research Methodology in Process Discovery

    In: ACM Transactions on Software Engineering and Methodology (TOSEM), Vol. 34, No. 1, Article No.: 3, Pages 1-29, Association for Computing Machinery, New York, 2024.

  8. Nareg Minaskan Karabid; Bastian Krayer; Alain Pagani; Didier Stricker

    Augmented telecommunication in factory setting

    In: Proceedings of. EuroXR International Conference (EuroXR-2024), VTT, 2024.

  9. Busra Sebin; Nazim Taskin; Nijat Mehdiyev

    Exploring the Intersection of Large Language Models (LLMs) and Explainable AI (XAI): A Systematic Literature Review (Research-in-Progress)

    In: Lech Janczewski; Galal H. Galal-Edeen; Barbara Krumay (Hrsg.). Proceedings of 2024 International Conference on Information Resources Management. International Conference on Information Resources Management (Conf-IRM-2024), May 26-28, Cairo, Egypt, ISBN 978-0-473-71035-4, AIS Electronic Library (AISeL), 2024.

  10. Ibrahim Tijjani; Rohit Kumar; Melya Boukheddimi; Mathias Trampler; Shivesh Kumar; Frank Kirchner

    Sitting, Standing and Walking Control of the Series- Parallel Hybrid Recupera-Reha Exoskeleton

    In: 2024 IEEE-RAS 23rd International Conference on Humanoid Robots (Humanoids). IEEE-RAS International Conference on Humanoid Robots (Humanoids-2024), November 22-24, Nancy, France, Pages 113-120, ISBN 979-8-3503-7357-8, IEEE, 12/2024.

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