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Publications

Displaying results 41 to 50 of 13623.

  1. Ho Minh Duy Nguyen; An T. Le; Trung Q. Nguyen; Nghiem T. Diep; Tai Nguyen; Duy Duong-Tran; Jan Peters; Li Shen; Mathias Niepert; Daniel Sonntag

    Dude: Dual Distribution-Aware Context Prompt Learning For Large Vision-Language Model

    In: The 16th Asian Conference on Machine Learning. Asian Conference on Machine Learning (ACML-2024), December 5-8, Proceedings of Machine Learning Research, 2024.

  2. 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.

  3. 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.

  4. Ho Minh Duy Nguyen; Nina Lukashina; Tai Nguyen; An T. Le; TrungTin Nguyen; Nhat Ho; Jan Peters; Daniel Sonntag; Viktor Zaverkin; Mathias Niepert

    Structure-Aware E(3)-Invariant Molecular Conformer Aggregation Networks

    In: Proceedings of the 41st International Conference on Machine Learning. International Conference on Machine Learning (ICML), July 21-27, Austria, JMLR.org, 2024.

  5. Badarinath Katti; Christiane Plociennik; Michael Schweitzer

    A Jumpstart Framework for Semantically Enhanced OPC-UA

    In: KI - Künstliche Intelligenz, German Journal on Artificial Intelligence - Organ des Fachbereiches "Künstliche Intelligenz" der Gesellschaft für Informatik e.V. (KI), Vol. 33, No. 2, Pages 131-140, Springer, 2019.

  6. Ali Nazeri; Christiane Plociennik; Malte Vogelgesang; Chanchan Li; Martin Ruskowski

    A Novel Approach for Sensor Fusion Object Detection in Waste Sorting: The Case of WEEE

    In: Volker Wohlgemuth; Dieter Kranzlmüller; Maximilian Höb (Hrsg.). EnviroInfo 2023. Pages 177-186, ISBN 978-3-88579-736-4, Gesellschaft für Informatik e.V. Bonn, 2023.

  7. Mohammad Hossein Rimaz; Christiane Plociennik; Martin Ruskowski

    Semantic Asset Administration Shell for Circular Economy

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

  8. Jibinraj Antony; Vinit 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.

  9. 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.

  10. Roberto Venditti; Nareg Minaskan Karabid; Evmorfia Biliri; Miguel Villegas; Barry Kirwan; Carl Westin; Jekaterina Basjuka; Simone Pozzi

    Construal Level Theory (CLT) for designing explanation interfaces in operational contexts

    In: Human Interaction and Emerging Technologies: Artificial Intelligence and Future Applications. International Conference on Applied Human Factors and Ergonomics (AHFE-2025), 13th International Conference on Human Interaction & Emerging Technologies: Artificial Intelligence & Future Applications, located at IHIET-AI 2025, AHFE Open Access, 3/2025.

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