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Publikationen

Zeige Ergebnisse 741 bis 750 von 14556.

  1. Daniel Weimer; André Meyer-Vitali; Anne Sielemann; Jens Ziehn; Jingxing Zhou; Yunus Bulut; Michael Graf; Sebastian Krauß

    DIN SPEC 91527:2025-12, Goals, Methods and Metrics for Automated/Semi-Automated Runtime Monitoring of AI Systems for Non-Adversarial Performance Degradations

    DIN Media GmbH, 12/2025.

  2. Rebecca Keilhauer; Michael Lorenz; Carlo Dindorf; Stefan Ernst; Chen-Yu Wang; Paul Messer; Didier Stricker

    Exploring Large Language Models for Automated Gait Analysis

    In: Proceedings of 2nd International Conference of AIxHMC 2025. International Conference on Artificial Intelligence for Medicine, Health, and Care (AIxMHC-2025), October 13-15, Taichung, Taiwan, Province of China, IEEE Xplore, 2025.

  3. Carlos E. Luis; Alessandro G. Bottero; Julia Vinogradska; Felix Berkenkamp; Jan Peters

    Uncertainty Representations in State-Space Layers for Deep Reinforcement Learning under Partial Observability

    In: Transactions on Machine Learning Research (TMLR), Vol. 2025, Pages 1-31, arXiv, 2025.

  4. An Thai Le; Khai Nguyen; Minh Nhat Vu; Joao Carvalho; Jan Peters

    Model Tensor Planning

    In: Transactions on Machine Learning Research (TMLR), Vol. 2025, Pages 1-24, arXiv, 2025.

  5. Alexander Schultheis; Yannis Bertrand; Joscha Grüger; Lukas Malburg; Ralph Bergmann; Estefanía Serral Asensio

    Case-based Data Quality Management for IoT Logs: A Case Study Focusing on Detection of Data Quality Issues

    In: Amiya Nayak (Hrsg.). IoT, Vol. 6, No. 4, MDPI, 10/2025.

  6. Pratyush Agnihotri; Carsten Binnig

    Demonstrating PDSP-Bench: A Benchmarking System for Parallel and Distributed Stream Processing

    In: Volker Markl; Joseph M. Hellerstein; Azza Abouzied (Hrsg.). Companion of the 2025 International Conference on Management of Data, SIGMOD/PODS 2025, Berlin, Germany, June 22-27, 2025. ACM SIGMOD International Conference on Management of Data (SIGMOD), Pages 7-10, ACM, 2025.

  7. Johannes Wehrstein; Tiemo Bang; Roman Heinrich; Carsten Binnig

    GRACEFUL: A Learned Cost Estimator for UDFs

    In: 41st IEEE International Conference on Data Engineering, ICDE 2025, Hong Kong, May 19-23, 2025. IEEE International Conference on Data Engineering (ICDE), Pages 2450-2463, IEEE, 2025.

  8. Adrian Lutsch; Muhammad El-Hindi; Matthias Heinrich; Daniel Ritter; Zsolt István; Carsten Binnig

    Benchmarking Analytical Query Processing in Intel SGXv2

    In: Alkis Simitsis; Bettina Kemme; Anna Queralt; Oscar Romero; Petar Jovanovic (Hrsg.). Proceedings 28th International Conference on Extending Database Technology, EDBT 2025, Barcelona, Spain, March 25-28, 2025. International Conference on Extending Database Technology (EDBT), Pages 516-528, OpenProceedings.org, 2025.

  9. Jigao Luo; Nils Boeschen; Tobias Ziegler; Carsten Binnig

    An Evaluation of NVMe-over-Fabrics for Disaggregated Databases over Fast Networks

    In: Meike Klettke; Ralf Schenkel; Andreas Henrich; Daniela Nicklas; Maximilian E. Schüle; Klaus Meyer-Wegener (Hrsg.). Datenbanksysteme für Business, Technologie und Web (BTW 2025), 21. Fachtagung des GI-Fachbereichs ,,Datenbanken und Informationssysteme" (DBIS), 03.-07, März 2025, Bamberg, Germany, Proceedings. GI-Fachtagungen (BTW), Pages 113-125, LNI, Vol. P-361, Gesellschaft für Informatik e.V. 2025.

  10. Carsten Binnig

    Technical Perspective on 'BOSS - An Architecture for Database Kernel Composition'

    In: SIGMOD Record, Vol. 54, No. 1, Pages 1-1, SIGMOD, 2025.

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