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Publikationen

Zeige Ergebnisse 971 bis 980 von 13867.

  1. 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.

  2. 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.

  3. 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.

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

    Augmented telecommunication in factory setting

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

  5. 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.

  6. Jibinraj Antony; Dorotea Jalu¨ić; Simon Bergweiler; Ákos Hajnal; Veronika ´labravec; Márk Emődi; Dejan Strbad; Tatjana Legler; Attila Csaba Marosi

    Adapting to Changes: A Novel Framework for Continual Machine Learning in Industrial Applications

    In: Journal of Grid Computing, Vol. 22 (71), Pages 1-19, Springer, 11/2024.

  7. Vinit Vikas Hegiste; Tatjana Legler; Martin Ruskowski

    Towards Robust Federated Image Classification: An Empirical Study of Weight Selection Strategies in Manufacturing

    In: 2024 2nd International Conference on Federated Learning Technologies and Applications (FLTA). International Conference on Federated Learning Technologies and Applications (FLTA-2024), September 17-20, Valencia, Spain, Pages 55-62, IEEE, 2024.

  8. Tatjana Legler; Vinit Vikas Hegiste; Martin Ruskowski

    Seamless Integration: Sampling Strategies in Federated Learning Systems

    In: 2024 2nd International Conference on Federated Learning Technologies and Applications (FLTA). International Conference on Federated Learning Technologies and Applications (FLTA-2024), September 17-20, Valencia, Spain, Pages 148-155, IEEE, 2024.

  9. Hoai-Chau Tran; Ho Minh Duy Nguyen; Duy M. Nguyen; TrungTin Nguyen; Ngan Le; Pengtao Xie; Daniel Sonntag; James Zou; Binh T. Nguyen; Mathias Niepert

    Accelerating Transformers with Spectrum-Preserving Token Merging

    In: The Thirty-Eighth Annual Conference on Neural Information Processing Systems. Neural Information Processing Systems (NeurIPS-2024), December 10-15, Canada, JMLR.org, 2024.

  10. Hoai-Chau Tran; Ho Minh Duy Nguyen; Manh-Duy Nguyen; Ngan Hoang Le; Binh T. Nguyen

    Energy Minimizing-based Token Merging for Accelerating Transformers

    In: International Conference on Learning Representations (ICLR), Practical ML for Low Resource Settings Workshop. International Conference on Learning Representations (ICLR), May 11-12, JMLR.org, 2024.

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