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Publikationen

Zeige Ergebnisse 1381 bis 1390 von 14915.

  1. Wolfgang Stammer; Antonia Wüst; David Steinmann; Kristian Kersting

    Neural Concept Binder

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2406.09949, Pages 1-39, arXiv, 2024.

  2. Aljoscha Burchardt; Jochen Büttner; Jürgen Renn

    Zukunftsszenarien für alle

    In: Kai Gondlach; Birgit Brinkmann; Mark Brinkmann; Julia Plath. Regenerative Zukünfte und künstliche Intelligenz: Band 2: PEOPLE. Pages 271-284, ISBN 978-3-658-44852-3, Springer Fachmedien Wiesbaden, Wiesbaden, 2024.

  3. Shashank Govindaraj; Wiebke Brinkmann; Francisco Javier Colmenero; Irene Sanz Nieto; Alexandru But; Matteo De Benedetti; Leon Cedric Danter; Mercedes Alonso; Enrique Heredia; Simon Lacroix; Dominik Kleszczynski; Joseph Purnell; Kevin Picton; Nabil Aouf; Luis Lopes

    Building a Lunar Infrastructure with the Help of a Heterogeneous (Semi)Autonomous Multi-robot-Team

    In: Xiu Tian Yan; Gianfranco Visentin. Space Robotics: The State of the Art and Future Trends. Pages 395-431, ISBN 978-3-031-39214-6, Springer Nature Switzerland, Cham, 2024.

  4. Enrico Kochon; Daniel Stattkus; Simon Binz; Marian Eleks; Nils Lauinger; Philipp Fukas; Ann-Kristin Claudia Müller; Julia Knopf; Oliver Thomas

    I don't know who you are, but I know what you need: Guidelines for Federated Learning in Educational Recommender Systems

    In: Wirtschaftsinformatik 2024 Proceedings. Internationale Tagung Wirtschaftsinformatik (WI-2024), September 16-19, Würzburg, Germany, Association for Information Systems, 2024.

  5. 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.

  6. Mohammad Hossein Rimaz; Christiane Plociennik; Martin Ruskowski

    Semantic Asset Administration Shell for Circular Economy

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

  7. 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.

  8. 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.

  9. 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.

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

    Augmented telecommunication in factory setting

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

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