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Publications

Displaying results 1971 to 1980 of 14993.

  1. Muhammad Muaz; Ingo Zinnikus; Mahnoor Shahid

    NILM domain adaptation: When does it work?

    In: 2024 10th International Conference on Smart Computing and Communication (ICSCC 2024). International Conference on Smart Computing and Communication (ICSCC-2024), July 25-27, Bali, Indonesia, Pages 524-528, ISBN 979-8-3503-6311-1, IEEE, 2024.

  2. Maxx Richard Rahman; Thomas Piper; Mario Thevis; Wolfgang Maaß

    Detection of sample swapping in anti-doping investigations using machine learning

    In: Nature Scientific Reports (Sci Rep), Vol. 15, No. 9230, Pages 1-13, Nature, 3/2026.

  3. Leonhard Kunz; Mario Klostermeier; Kokulan Thanabalan; Tatjana Legler; Martin Ruskowski

    Automatic Generation of Technical Drawings Using the Model Context Protocol

    In: Iris Gräßler (Hrsg.). HIPPE Proceedings. International Symposium on Hybrid Intelligence in Product and Production Engineering (HIPPE-2026), March 24-26, Paderborn, Germany, University of Paderborn, 2026.

  4. Max Friedrich; Mareike Böckel; Oliver Meisenberg; Kathrin Meisenberg; Mattis Hartwig

    Learning from 3D image reconstruction: Reconstructing spatiotemporal distributions of radioactive iodine after nuclear accidents

    In: Science of The Total Environment (Sci Total Environ), Vol. 1011, Page 181159, Elsevier B.V. 1/2026.

  5. Christian G. H. Winter; Nicolas A. Zacharias; Mattis Hartwig

    Using LLMs as sentiment analyzers to predict review helpfulness: first insights to open the black box

    In: Marketing Letters: A Journal of Research in Marketing, Vol. 37, No. 30 (2026), Pages 1-14, Springer Nature, 5/2026.

  6. Melle Mendikowski; Benjamin Schindler; Thomas Schmid; Ralf Möller; Mattis Hartwig

    Multi-dependence Conditional Vector Boosting Categorical Fidelity in Tabular-Data GANs

    In: Luis Martínez; David Camacho; Hujun Yin; Bapi Dutta; Raciel Yera; Rosa María Rodríguez Domínguez; Antonio Tallón-Ballesteros (Hrsg.). Intelligent Data Engineering and Automated Learning - IDEAL 2025, 26th International Conference, Proceedings. International Conference on Intelligent Data Engineering and Automated Learning (IDEAL-2025), November 13-15, Jaén, Spain, Lecture Notes in Computer Science (LNCS), Vol. 16238, ISBN 978-3-032-10485-4, Springer, Cham, 11/2025.

  7. Franz Pawlus; Justin Weich; Markus Nilles

    Advancing NL2SPARQL via Agentic Workflow Design and Dynamic URI Grounding

    In: European Semantic Web Conference. European Semantic Web Conference (ESWC-2026), 23rd European Semantic Web Conference, May 12-14, Dubrovnik, Croatia, Pages 457-475, Springer, 2026.

  8. Kanta Yamaoka; Sumantrak Mukherjee; Thomas Gärtner; David Antony Selby; Stefan Konigorski; Eyke Hüllermeier; Viktor Bengs; Sebastian Vollmer

    Linear-LLM-SCM: Benchmarking LLMs for Coefficient Elicitation in Linear-Gaussian Causal Models

    In: ICML 2026 Workshop on Structured Data for Health. International Conference on Machine Learning (ICML-2026), Proceedings of the Workshop on Structured Data for Health, 7/2026.

  9. Josip Lovrekovic; Masoumeh Tavakoligargari; Manuel Etzkorn; Anna Gieß; Jan Jürjens; Harald von Korflesch; Peter Fettke

    AI Use Cases in Knowledge and Technology Transfer: Evidence from Expert Interviews

    In: PACIS 2026 Proceedings. Pacific Asia Conference on Information Systems (PACIS-2026), located at PACIS-2026, July 4-8, Jakarta, Indonesia, AIS eLibrary, 2026.

  10. Jannis Blüml; Cedric Derstroff; Bjarne Gregori; Elisabeth Dillies; Quentin Delfosse; Kristian Kersting

    Do Object Channels Improve Robustness in Deep Reinforcement Learning?

    In: Trans. Mach. Learn. Res. (Hrsg.). Transactions on Machine Learning Research (TMLR), Vol. 2026, Pages 1-40, TMLR, 2026.

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