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Publikationen

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  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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.

  7. Chandan Jha; Sallar Ahmadi-Pour; Sajjad Parvin; Rolf Drechsler

    DIVIAC: Library of Input Data Aware Approximate Dividers with Partial Exact Minimization

    In: 39th International Conference On VLSI Design. International Conference on VLSI Design (VLSID-2026), January 3-7, Pune, India, 2026.

  8. Mathias Trampler; Marc Tabie; Julia Habenischt; Elsa Andrea Kirchner

    Exoskeleton based microgravity simulation for astronaut training

    In: MDPI Engineering Proceedings (E-ISSN 2673-4591). EASN International Conference on Innovation in Aviation & Space towards Sustainability Today & Tomorrow (EASN-2025), 15th, October 14-17, Madrid, Spain, MDPI, 2026.

  9. Juan Trujillo; Ana Lavalle; Alejandro Reina-Reina; Jorge García-Carrasco; Alejandro Maté; Wolfgang Maaß

    An integrated requirements framework for analytical and AI projects

    In: Data & Knowledge Engineering (DKE), Vol. 161, Page 102493, Elsevier, 1/2026.

  10. Johannes Wehrstein; Timo Eckmann; Matthias Jasny; Carsten Binnig

    Bespoke OLAP: Synthesizing Workload-Specific One-size-fits-one Database Engines

    In: Proceedings of the VLDB Endowment (PVLDB), Vol. 19, No. 11, Pages 3759-3771, arXiv, 2026.

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