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Publications

Displaying results 1 to 10 of 13614.

  1. Tuan Dam; Carlo D'Eramo; Jan Peters; Joni Pajarinen

    A unified perspective on value backup and exploration in monte-carlo tree search

    In: Journal of Artificial Intelligence Research (JAIR), Vol. 81, Pages 511-577, 2024.

  2. Liane Vogel; Jan-Micha Bodensohn; Carsten Binnig

    WikiDBs: A Large-Scale Corpus Of Relational Databases From Wikidata

    In: A. Globerson; L. Mackey; D. Belgrave; A. Fan; U. Paquet; J. Tomczak; C. Zhang (Hrsg.). Advances in Neural Information Processing Systems. Neural Information Processing Systems (NeurIPS), Pages 41186-41201, Vol. 37, Curran Associates, Inc. 2024.

  3. Patrick Klein; Lukas Malburg; Ralph Bergmann

    Combining informed data-driven anomaly detection with knowledge graphs for root cause analysis in predictive maintenance

    In: Engineering Applications of Artificial Intelligence, Vol. 145, Page 110152, Elsevier, 2025.

  4. Sallar Ahmadi-Pour; Sangeet Saha; Klaus McDonald-Maier; Rolf Drechsler

    MESSI: Task Mapping and Scheduling Strategy for FPGA-based Heterogeneous Real-Time SystemsMESSI: Task Mapping and Scheduling Strategy for FPGA-based Heterogeneous Real-Time Systems

    In: ACM Transactions on Design Automation of Electronic Systems (TODAES), ACM, 2025.

  5. Gregor Duwe; Dominique Mercier; Verena Kauth; Kerstin Moench; Vikas Rajashekar; Markus Junker; Andreas Dengel; Axel Haferkamp; Thomas Hoefner

    Development of an artificial intelligence-generated, explainable treatment recommendation system for urothelial carcinoma and renal cell carcinoma to support multidisciplinary cancer conferences

    In: European Journal of Cancer (EJC), Vol. 220, No. 115367, Pages 1-8, Elsevier Ltd. 3/2025.

  6. Lawrence Benson; Carsten Binnig; Jan-Micha Bodensohn; Federico Lorenzi; Jigao Luo; Danica Porobic; Tilmann Rabl; Anupam Sanghi; Russell Sears; Pinar Tözün; Tobias Ziegler

    Surprise Benchmarking: The Why, What, and How

    In: Proceedings of the Tenth International Workshop on Testing Database Systems, DBTest 2024, Santiago, Chile, 9 June 2024. International Workshop on Testing Database Systems (DBTest), Pages 1-8, ACM, 2024.

  7. Jan-Micha Bodensohn; Ulf Brackmann; Liane Vogel; Anupam Sanghi; Carsten Binnig

    Automating Enterprise Data Engineering with LLMs

    In: NeurIPS 2024 Third Table Representation Learning Workshop. Table Representation Learning Workshop @ NeurIPS (TRL), Table Representation Learning Workshop at NeurIPS, 2024.

  8. Jan-Micha Bodensohn; Ulf Brackmann; Liane Vogel; Matthias Urban; Anupam Sanghi; Carsten Binnig

    LLMs for Data Engineering on Enterprise Data

    In: Proceedings of Workshops at the 50th International Conference on Very Large Data Bases, VLDB 2024. International Workshop on Tabular Data Analysis (TaDA), VLDB.org, 2024.

  9. Jan-Micha Bodensohn; Carsten Binnig

    Rethinking Table Retrieval from Data Lakes

    In: Proceedings of the Seventh International Workshop on Exploiting Artificial Intelligence Techniques for Data Management, aiDM 2024, Santiago, Chile, 14 June 2024. International Workshop on Exploiting Artificial Intelligence Techniques for Data Management (aiDM), Pages 2:1-2:5, ACM, 2024.

  10. Vassilios Yfantis; Achim Wagner; Martin Ruskowski

    Numerical benchmarking of dual decomposition-based optimization algorithms for distributed model predictive control

    In: Results in Control and Optimization (RICO), Vol. 17, Pages 1-19, Elsevier, 12/2024.

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