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Publikationen

Zeige Ergebnisse 1311 bis 1320 von 15223.

  1. Ibrahim Baroud; Lisa Raithel; Sebastian Möller; Roland Roller

    Beyond De-Identification: A Structured Approach for Defining and Detecting Indirect Identifiers in Medical Texts

    In: Proceedings of the Sixth Workshop on Privacy in Natural Language Processing. Workshop on Privacy in Natural Language Processing (PrivateNLP-2025), located at NAACL, May 4, Pages 75-85, ISBN 979-8-89176-246-6, Association for Computational Linguistics, 2025.

  2. Pascal Rübel; William Motsch; Alexis T. Bernhard; Simon Jungbluth; Martin Ruskowski

    Agent-Based Communication for Fault Diagnosis in Skill-Based Production Environments Using Messages Based on I4.0 Language and Asset Administration Shells

    In: Kosmas Alexopoulos; Sotiris Makris; Panagiotis Stavropoulos (Hrsg.). Advances in Artificial Intelligence in Manufacturing II. European Symposium on Artificial Intelligence in Manufacturing (ESAIM-2024), Cham, Pages 157-170, ISBN 978-3-031-86489-6, Springer Nature Switzerland, 2025.

  3. Jonathan Nußbaum; Tatjana Legler; Martin Ruskowski

    CPPM Copilot: Proposing an AI-Based Assistant for Manual Assembly Tasks in a Flexible Production

    In: Kosmas Alexopoulos; Sotiris Makris; Panagiotis Stavropoulos (Hrsg.). Advances in Artificial Intelligence in Manufacturing II. European Symposium on Artificial Intelligence in Manufacturing (ESAIM-2024), Cham, Pages 80-88, ISBN 978-3-031-86489-6, Springer Nature Switzerland, 2025.

  4. Tatjana Legler; Vinit Vikas Hegiste; Martin Ruskowski

    Multifaceted Applications of Federated Learning: Beyond Neural Networks

    In: Kosmas Alexopoulos; Sotiris Makris; Panagiotis Stavropoulos (Hrsg.). Advances in Artificial Intelligence in Manufacturing II. European Symposium on Artificial Intelligence in Manufacturing (ESAIM-2024), Cham, Pages 271-278, ISBN 978-3-031-86489-6, Springer Nature Switzerland, 2025.

  5. Vinit Vikas Hegiste; Tatjana Legler; Martin Ruskowski

    Collaborative Learning in Shared Production Environment Using Federated Image Classification

    In: Kosmas Alexopoulos; Sotiris Makris; Panagiotis Stavropoulos (Hrsg.). Advances in Artificial Intelligence in Manufacturing II. European Symposium on Artificial Intelligence in Manufacturing (ESAIM-2024), Cham, Pages 98-106, ISBN 978-3-031-86489-6, Springer Nature Switzerland, 2025.

  6. Hannah Stein; René Herbert Reich; Lucian Visinescu; Wolfgang Maaß

    Conceptualizing Personal Data Pricing Through Construal Level Theory

    In: Americas Conference on Information Systems. Americas Conference on Information Systems (AMCIS-2025), August 14-16, Montreal, Canada, AIS, 8/2025.

  7. Julian Wolter; Amr Gomaa

    Predicting Human Behavior in Autonomous Systems: A Collaborative Machine Teaching Approach for Reducing Transfer of Control Events

    In: ArXiv e-prints (arxiv), Vol. arXiv:2505.10695, ArXiv, 2025.

  8. Daniel Stattkus; Lorena Göritz; Laura Hein; Jannick Eckle; Maja-Gwendoline Reibold; Sascha Schuhmacher; Julia Knopf; Oliver Thomas

    YouCodeGirls – Nutzung von Künstlicher Intelligenz zur zielgruppengerechten Unterstützung von Lernprozessen

    In: HMD - Praxis der Wirtschaftsinformatik (HMD), Vol. 0, Pages 1-21, Springer, 2/2025.

  9. Annika Tjabben; Lea Bergkemper; Carolin Conrad; Christoph Lipps; Hans Dieter Schotten

    A Microbubble-based Approach for Intra-Body Communication

    IEEE Communication Theory Workshop, 2025.

  10. Christoph Peter Balada; Aida Romano-Martinez; Vincent ten Cate; Katharina Geschke; Jonas Tesarz; Paul Claßen; Alexander K Schuster; Dativa Tibyampansha; Karl-Patrik Kresoja; Philipp S Wild; others

    Deep Learning for Cardiovascular Risk Assessment: Proxy Features from Carotid Sonography as Predictors of Arterial Damage

    In: Lecture Notes in Computer Science. Medical Image Understanding and Analysis (MIUA-2025), LNCS, Springer Nature, 2025.

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