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Publications

Displaying results 21 to 30 of 13568.

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. Martina Hutter-Mironovova; Benjamin Blumhofer; Christopher Schneider; Achim Wagner

    Behavior Tree as a Decision Planning Algorithm for Industrial Robot

    In: Leonard Barolli (Hrsg.). Advances on P2P, Parallel, Grid, Cloud and Internet Computing. International Conference on Advances on P2P, Parallel, Grid, Cloud and Internet Computing (3PGCIC-2024), November 13-15, San Benedetto del Tronto, Italy, Pages 385-394, Lecture Notes on Data Engineering and Communications Technologies (LNDECT), Vol. 232, ISBN 978-3-031-76462-2, Springer Nature Switzerland, Cham, 2025.

  6. Benjamin Blumhofer; Jonas Weigand; Leonhard Kunz; Pascal Rübel; Achim Wagner

    Detection of Rare Fault Cases for Mobile Robot Applications

    In: Achim Wagner; Kosmas Alexopoulos; Sotiris Makris (Hrsg.). Advances in Artificial Intelligence in Manufacturing. European Symposium on Artificial Intelligence in Manufacturing (ESAIM-2023), Cham, Pages 61-70, ISBN 978-3-031-57496-2, Springer Nature Switzerland, 2024.

  7. Vassilios Yfantis; Simon Wenzel; Achim Wagner; Martin Ruskowski; Sebastian Engell

    Hierarchical distributed optimization of constraint-coupled convex and mixed-integer programs using approximations of the dual function

    In: EURO Journal on Computational Optimization, Vol. 11, Pages 1-79, Elsevier, 2023.

  8. Malte Luttermann; Ralf Möller; Marcel Gehrke

    Lifting Factor Graphs with Some Unknown Factors for New Individuals

    In: Zied Bouraoui; Srdjan Vesic (Hrsg.). International Journal of Approximate Reasoning (IJAR), Vol. 179, No. 04/2025 (article 109371), Pages 1-28, Elsevier, 4/2025.

  9. Jibinraj Antony; Dorotea Jalu¨ić; Simon Bergweiler; Ákos Hajnal; Veronika ´labravec; Márk Emődi; Dejan Strbad; Tatjana Legler; Attila Csaba Marosi

    Adapting to Changes: A Novel Framework for Continual Machine Learning in Industrial Applications

    In: Journal of Grid Computing, Vol. 22 (71), Pages 1-19, Springer, 11/2024.

  10. Vinit Hegiste; Tatjana Legler; Martin Ruskowski

    Towards Robust Federated Image Classification: An Empirical Study of Weight Selection Strategies in Manufacturing

    In: 2024 2nd International Conference on Federated Learning Technologies and Applications (FLTA). International Conference on Federated Learning Technologies and Applications (FLTA-2024), September 17-20, Valencia, Spain, Pages 55-62, IEEE, 2024.

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