Skip to main content Skip to main navigation

Publications

Displaying results 1 to 10 of 11394.

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. 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.

  6. 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.

  7. 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.

  8. Tatjana Legler; Vinit Hegiste; Martin Ruskowski

    Seamless Integration: Sampling Strategies in Federated Learning Systems

    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 148-155, IEEE, 2024.

  9. Vinit Hegiste; Snehal Walunj; Jibinraj Antony; Tatjana Legler; Martin Ruskowski

    Enhancing Object Detection with Hybrid dataset in Manufacturing Environments: Comparing Federated Learning to Conventional Techniques

    In: 2024 1st International Conference on Innovative Engineering Sciences and Technological Research (ICIESTR). International Conference on Innovative Engineering Sciences and Technological Research (ICIESTR-2024), May 14-15, Muscat, Oman, Pages 1-6, ISBN 979-8-3503-4863-7, IEEE, 2024.

  10. Gregor Duwe; Dominique Mercier; Verena Kauth; Kerstin Moench; Markus Junker; Juan Pablo Vesga; Werner Seiz; Juergen Scheele; Andreas Dengel; Axel Haferkamp; Thomas Höfner

    First preliminary results of artificial intelligence generated treatment recommendations for urothelial cancer based on multidisciplinary cancer conferences from the KITTU project

    In: Annals of Oncology, Vol. 35, No. S2, Pages 1161-1161, ESMO, 9/2024.

Year

More options