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Publications

Displaying results 1421 to 1430 of 14482.

  1. 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.

  2. 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.

  3. 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.

  4. Babu Ajish; Frank Kirchner

    Stepping Locomotion for a Walking Excavator Robot Using Hierarchical Reinforcement Learning and Action Masking

    In: 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS 2025). IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS-2025), October 18-25, Hangzhou, China, IEEE, 2025.

  5. Andrey Guzhov; Tobias Wirth

    Transformer-Based File Fragment Type Classification for File Carving in Digital Forensics

    In: Academic Conferences International (ACI) (Hrsg.). Proceedings of the 24th European Conference on Cyber Warfare and Security. European Conference on Cyber Warfare and Security (ECCWS-2025), 24th European Conference on Cyber Warfare and Security, located at ECCWS-2025, June 26-27, Kaiserslautern, Germany, Pages 169-176, Vol. 24, No. 1, ACI, 2025.

  6. Ute Schmid; Volker Tresp; Matthias Bethge; Kristian Kersting; Rainer Stiefelhagen

    Künstliche Intelligenz - Die dritte Welle

    In: Ralf H. Reussner; Anne Koziolek; Robert Heinrich (Hrsg.). 50. Jahrestagung der Gesellschaft für Informatik, INFORMATIK 2020 - Back to the Future. Jahrestagung der Gesellschaft für Informatik (INFORMATIK-2020), September 28 - October 2, Karlsruhe, Germany, Pages 91-95, LNI, Vol. P-307, GI, 2020.

  7. Amos Treiber; Alejandro Molina; Christian Weinert; Thomas Schneider; Kristian Kersting

    CryptoSPN: Privacy-Preserving Sum-Product Network Inference

    In: Giuseppe De Giacomo; Alejandro Catalá; Bistra Dilkina; Michela Milano; Senén Barro; Alberto Bugarín; Jérôme Lang (Hrsg.). 24th European Conference on Artificial Intelligence. European Conference on Artificial Intelligence (ECAI-2020), August 29 - September 8, Santiago de Compostela, Spain, Pages 1946-1953, Frontiers in Artificial Intelligence and Applications, Vol. 325, IOS Press, 2020.

  8. Amos Treiber; Alejandro Molina; Christian Weinert; Thomas Schneider; Kristian Kersting

    CryptoSPN: Expanding PPML beyond Neural Networks

    In: Benyu Zhang; Raluca Ada Popa; Matei Zaharia; Guofei Gu; Shouling Ji (Hrsg.). PPMLP'20: Proceedings of the 2020 Workshop on Privacy-Preserving Machine Learning in Practice. Workshop on Privacy-Preserving Machine Learning in Practice (PPMLP-20), located at CS '20: 2020 ACM SIGSAC Conference on Computer and Communications Security, November 9, Virtual Event, Pages 9-14, ISBN 978-1-4503-8088-1, ACM, 2020.

  9. Patrick Schramowski; Wolfgang Stammer; Stefano Teso; Anna Brugger; Franziska Herbert; Xiaoting Shao; Hans-Georg Luigs; Anne-Katrin Mahlein; Kristian Kersting

    Making deep neural networks right for the right scientific reasons by interacting with their explanations

    In: Nature Machine Intelligence, Vol. 2, No. 8, Pages 476-486, Springer, 2020.

  10. Patrick Schramowski; Cigdem Turan; Sophie F. Jentzsch; Constantin A. Rothkopf; Kristian Kersting

    The Moral Choice Machine

    In: Frontiers in Artificial Intelligence, Vol. 3, Pages 1-10, Frontiers, 2020.

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