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Jahr: 2023
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  1. Jan Herbst; Jan Petershans; Matthias Rüb; Christoph Lipps; Ann-Kathrin Beck; Joana C. Carmo; Thomas Lachmann; Hans Dieter Schotten

    Inception based Deep Learning: Biometric Identification using Electroencephalography (EEG)

    In: Proceedings of the 2023 International Symposium on Networks, Computers and Communications (ISNCC). International Symposium on Networks, Computers …

  2. Melvin Chelli; Cédric Prigent; René Schubotz; Alexandru Costan; Gabriel Antoniu; Loïc Cudennec; Philipp Slusallek

    FEDGUARD: Selective Parameter Aggregation for Poisoning Attack Mitigation in Federated Learning

    In: Proceedings of the IEEE International Conference on Cluster Computing. IEEE International Conference on Cluster Computing (Cluster-2023), October …

  3. Franek Stark; Shubham Vyas; Georg Schildbach; Frank Kirchner

    Linear Model Predictive Control for a planar free-floating platform: A comparison of binary input constraint formulations

    In: 17th Symposium on Advanced Space Technologies in Robotics and Automation. ESA/Estec Symposium on Advanced Space Technologies in Robotics and …

  4. Hans D. Schotten Maryam Arabshahi

    6G Data Analytics Platform for Applying Condition Monitoring in Smart Factory

    In: RSAE '23: Proceedings of the 2023 5th International Conference on Robotics Systems and Automation Engineering. International Conference on …

  5. Lars Nolle; Frederic Theodor Stahl; Tarek Elmihoub

    On Explanations for Hybrid Artificial Intelligence

    In: Max Bramer; Frederic Theodor Stahl (Hrsg.). Artificial Intelligence XL - 43rd SGAI International Conference on Artificial Intelligence, AI 2023. …

  6. Frederic Theodor Stahl; Max Bramer (Hrsg.)

    Artificial Intelligence XL, 43rd SGAI International Conference on Artificial Intelligence, AI 2023, Cambridge, UK, December 12–14, 2023, Proceedings

    SGAI International Conference on Artificial Intelligence (AI-2023), December 12-14, Cambridge, United Kingdom, Lecture Notes in Computer Science …

  7. Maciej Szelążek; Dan Hudson; Szymon Bobek; Grzegorz J. Nalepa; Martin Atzmueller

    Enhanced Explanations for Knowledge-Augmented Clustering using Subgroup Discovery

    In: 2023 IEEE 10th International Conference on Data Science and Advanced Analytics (DSAA). International Conference on Data Science and Advanced …

  8. Stefan Bloemheuvel; Jurgen van den Hoogen; Martin Atzmueller

    Graph construction on complex spatiotemporal data for enhancing graph neural network-based approaches

    In: International Journal of Data Science and Analytics, Pages 1-18, Springer, 2023.

  9. Jurgen van den Hoogen; Dan Hudson; Stefan Bloemheuvel; Martin Atzmueller

    Hyperparameter analysis of wide-kernel CNN architectures in industrial fault detection: an exploratory study

    In: International Journal of Data Science and Analytics, Pages 1-22, Springer, 2023.

  10. Eric Lanfer; Sophia Sylvester; Nils Aschenbruck; Martin Atzmueller

    Leveraging Explainable AI Methods Towards Identifying Classification Issues on IDS Datasets

    In: Eyuphan Bulut; Florian Tschorsch; Kanchana Thilakarathna (Hrsg.). Proceedings of the 48th IEEE Conference on Local Computer Networks - LCN 2023. …

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