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Publications

Displaying results 1801 to 1810 of 15019.

  1. Maaike de Boer; Quirine Smit; Michael van Bekkum; André Meyer-Vitali; Thomas Schmidt

    Design Patterns for Large Language Model Based Neuro-Symbolic Systems

    In: Neurosymbolic Artificial Intelligence, Vol. 1, Pages 1-20, IOS Press, 9/2025.

  2. Snehal Walunj; Parsha Pahlevannejad; Michael Sintek; Juan Carlos Saborio; Prerna Garg; Hooman Tavakoli Ghinani; Christiane Plociennik; Nicolas Grossmann; Ansgar Bernardi; Martin Ruskowski; Joachim Hertzberg; Andreas Dengel

    Context-Aware Robotic Assistance for Workers Using Intention Recognition and Semantic Digital Twin

    In: Dhananjay Singh; Jan-Willem van 't Klooster; Uma Shanker Tiwary (Hrsg.). Intelligent Human Computer Interaction. IADIS International Conference on Interfaces and Human Computer Interaction (IHCI-2024), May 29, Cham, Pages 92-104, ISBN 978-3-031-88705-5, Springer Nature Switzerland, 5/2025.

  3. Sabine Janzen; Kanav Avasthi; Behkam Fallah; Hannah Stein; Wolfgang Maaß

    Risk‑Optimized Mobility through Graph‑Based Prediction

    In: Proceedings of International Conference on Conceptual Modeling. International Conference on Conceptual Modeling (ER-2025), 10/2025.

  4. Lukas Malburg

    Adaptive Workflow Management for Cyber-Physical Systems - A Hybrid Approach Combining Experience-Based Learning and Automated Planning for Industry 4.0

    PhD-Thesis, Universität Trier, 2025.

  5. Mark Lunt; David Antony Selby; William Dixon

    Describing variability of intensively collected longitudinal ordinal data with latent spline models

    In: Scientific Reports (Sci Rep), Vol. 15, Pages 34151-34151, Springer Nature, 10/2025.

  6. Hikaru Shindo; Viktor Pfanschilling; Devendra Singh Dhami; Kristian Kersting

    Learning differentiable logic programs for abstract visual reasoning

    In: Journal of Machine Learning Research (JMLR), Vol. 113, No. 11, Pages 8533-8584, arXiv, 2024.

  7. Matej Zecevic; Devendra Singh Dhami; Kristian Kersting

    Structural causal models reveal confounder bias in linear program modelling

    In: Journal of Machine Learning Research (JMLR), Vol. 113, No. 3, Pages 1329-1349, Springer, 2024.

  8. Brian Moser; Federico Raue; Sebastian Palacio; Stanislav Frolov; Andreas Dengel

    Unlocking Dataset Distillation with Diffusion Models

    In: NeurIPS. Neural Information Processing Systems (NeurIPS-2025), December 2-7, San Diego, USA, NeurIPS, 2025.

  9. Brian Moser; Arundhati Shanbhag; Stanislav Frolov; Federico Raue; Joachim Folz; Andreas Dengel

    A Coreset Selection of Coreset Selection Literature: Introduction and Recent Advances

    In: ArXiv e-prints (arxiv), Vol. arxiv, Pages 0-0, arxiv, 2025.

  10. Lars-Peter Meyer; Johannes Frey; Felix Brei; Desiree Heim; Sabine Gründer-Fahrer; Sara Todorovikj; Claus Stadler; Markus Schröder; Natanael Arndt; Michael Martin

    Evaluating Large Language Models for RDF Knowledge Graph Related Tasks - The LLM-KG-Bench-Framework 3

    In: Semantic Web - Interoperability, Usability, Applicability, Vol. 17, No. 4, Pages 1-38, SAGE Publications Sage UK, London, England, 7/2026.

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