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Publikationen

Zeige Ergebnisse 1311 bis 1320 von 15033.

  1. Berit Blanc; Lutz Goertz; Insa Reichow; Katja Buntins; Monika Hochbauer; Sheikh Faisal Rashid

    Die Zukunft der beruflichen Weiterbildung. Szenarien und Handlungsempfehlungen für einen innovativen, digitalen Weiterbildungsraum 2035. Ein Dossier im Rahmen des Innnovationswettbewerbs INVITE

    Pages 1-37, www.pedocs.de/volltexte/2025/32740/pdf/Bla, 3/2025.

  2. Jan Ehrhardt; Heinz Handels

    Implicitly Solved Regularization for Learning-Based Image Registration

    In: Xiaohuan Cao; Xuanang Xu; Islem Rekik; Zhiming Cui; Xi Ouyang (Hrsg.). Machine Learning in Medical Imaging. International Workshop on Machine Learning in Medical Imaging (MLMI-2023), located at International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2023), October 8, Vancouver, Canada, Pages 137-146, Lecture Notes in Computer Science (LNCS), Vol. 14348, ISBN 978-3-031-45673-2, Springer Nature Switzerland, 2024.

  3. 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.

  4. 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.

  5. 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.

  6. Subhabrata Dutta; Timo Kaufmann; Goran Glavas; Ivan Habernal; Kristian Kersting; Frauke Kreuter; Mira Mezini; Iryna Gurevych; Eyke Hüllermeier; Hinrich Schütze

    Problem Solving Through Human-AI Preference-Based Cooperation

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2408.07461, Pages 1-34, arXiv, 2024.

  7. Harsh Poonia; Moritz Willig; Zhongjie Yu; Matej Zecevic; Kristian Kersting; Devendra Singh Dhami

    (chi)SPN: Characteristic Interventional Sum-Product Networks for Causal Inference in Hybrid Domains

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2408.07545, Pages 1-17, arXiv, 2024.

  8. Björn Deiseroth; Manuel Brack; Patrick Schramowski; Kristian Kersting; Samuel Weinbach

    T-FREE: Tokenizer-Free Generative LLMs via Sparse Representations for Memory-Efficient Embeddings

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2406.19223, Pages 1-23, arXiv, 2024.

  9. Timo Kaufmann; Jannis Blüml; Antonia Wüst; Quentin Delfosse; Kristian Kersting; Eyke Hüllermeier

    OCALM: Object-Centric Assessment with Language Models

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2406.16748, Pages 1-29, arXiv, 2024.

  10. Simon Kohaut; Benedict Flade; Devendra Singh Dhami; Julian Eggert; Kristian Kersting

    Towards Probabilistic Clearance, Explanation and Optimization

    In: Computing Research Repository eprint Journal (CoRR), Vol. abs/2406.15088, Pages 1-6, arXiv, 2024.

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