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Publikationen

Zeige Ergebnisse 191 bis 200 von 14778.

  1. Pascal Marijan; Sebastian Igel; Tatjana Legler; Achim Wagner; Martin Ruskowski

    Concept Drift in Industrial Material Processing

    In: 2025 11th International Conference on Control, Decision and Information Technologies (CoDIT). International Conference on Control, Decision and Information Technologies (CoDIT-2025), Pages 647-652, Vol. 1, IEEE, 2025.

  2. Tatjana Legler; Vinit Vikas Hegiste; Martin Ruskowski

    Federated Multi-Modal Learning for Manufacturing: A Privacy-Preserving Approach to Distributed Sensor Fusion

    In: 2025 3rd International Conference on Federated Learning Technologies and Applications (FLTA). International Conference on Federated Learning Technologies and Applications (FLTA-2025), Pages 562-570, IEEE, 2025.

  3. Khalil Abuibaid; Vinit Vikas Hegiste; Tatjana Legler; Achim Wagner; Martin Ruskowski

    Federated Residual Reinforcement Learning for Collaborative Robot Skill Learning in Industry

    In: 2025 3rd International Conference on Federated Learning Technologies and Applications (FLTA). International Conference on Federated Learning Technologies and Applications (FLTA-2025), Pages 530-536, IEEE, 2025.

  4. Leonhard Kunz; Mario Klostermeier; Kokulan Thanabalan; Tatjana Legler; Martin Ruskowski

    TechMB: Exploring the Potential of Vision Language Models for Interpreting Technical Drawings

    In: Dieter Krause; Kristin Paetzold; Sandro Wartzack (Hrsg.). DS 140: Proceedings of the 36th Symposium Design for X (DFX2025). Design for X Symposium (DFX-2025), September 11-12, Hamburg, Germany, Pages 179-188, The Design Society, 2025.

  5. Peter Fettke; Hans-Georg Fill; Julius Köpke

    LLM, LAM, LxM agent: From talking to acting machines: Insights from the perspective of conceptual modeling

    In: Enterprise Modelling and Information Systems Architectures. An International Journal (EMISA), Vol. 20, Pages 0-0, GI e.V. 2025.

  6. Lara Chehayeb; Chirag Bhuvaneshwara; Manuel Anglet; Bernhard Hilpert; Ann-Kristin Meyer; Dimitra Tsovaltzi; Patrick Gebhard; Antje Biermann; Sinah Auchtor; Nils Lauinger; Julia Knopf; Andreas Kaiser; Fabian Kersting; Gregor Mehlmann; Florian Lingenfelser; Elisabeth André; Anna Welker; Kai Karren; Ruben Segundo; Garcia Ucharima; Dorothea Irmisch; Timo Sowa; Massimo Romanelli

    Development of a Mixed-Reality Interactive Training System to Support Professional Socio-Emotional Interactions - MITHOS

    In: Jana Tröge; Jan Stepczynski; Heike Wiesner; Christoph Runde. Virtuelle Beteiligung, reale Teilhabe: Transformative Technologien für eine inklusivere Gesellschaft. Pages 119-142, ISBN 9783593521312, 9783593462608, Campus Verlag, 2025.

  7. Mandala von Westenholz; Mika Patzelt; Tim Römer; Martin Atzmueller

    Generalizing Local Pattern Mining on Attributed Graphs using Simplicial Complex Abstraction

    In: Hocine Cherifi; Murat Donduran; Luis M. Rocha; Chantal Cherifi; Onur Varol (Hrsg.). Complex Networks & Their Applications XIII - Proceedings of The Thirteenth International Conference on Complex Networks and Their Applications: COMPLEX NETWORKS 2024 - Volume 1. International Conference on Complex Networks and their Applications (COMPLEX NETWORKS-2024), December 10-12, Istanbul, Turkey, Pages 298-311, Studies in Computational Intelligence (SCI), Vol. 1187, Springer, 2025.

  8. Martin Atzmueller; Tim Bohne; Anne-Kathrin Patricia Windler

    Knowledge-Augmented Explainable and Interpretable Learning for Anomaly Detection and Diagnosis

    In: Pascal Hitzler; Abhilekha Dalal; Mohammad Saeid Mahdavinejad; Sanaz Saki Norouzi (Hrsg.). Handbook on Neurosymbolic AI and Knowledge Graphs. Pages 1-25, ISBN 9781643685786, IOS Press, 3/2025.

  9. Philipp Schlinge; Steffen Meinert; Martin Atzmueller

    Comprehensive evaluation of prototype neural networks

    In: KI - Künstliche Intelligenz, German Journal on Artificial Intelligence - Organ des Fachbereiches "Künstliche Intelligenz" der Gesellschaft für Informatik e.V. (KI), Vol. online, Pages 1-20, Springer, 2025.

  10. Andreas Schliebitz; Heiko Tapken; Martin Atzmueller

    An Empirical Study on Improving SimCLR's Nonlinear Projection Head Using Pretrained Autoencoder Embeddings

    In: Proc. IEEE International Conference on Tools with Artificial Intelligence (ICTAI). International Conference on Tools with Artificial Intelligence (AAAI SSS), Los Alamitos, CA, USA, Pages 1140-1146, IEEE Computer Society, 2025.

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