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Jahr: 2023
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  1. Christian Kellermann; Cornelius Markert

    KI in der Arbeitswelt

    In: Aus Politik und Zeitgeschichte (APuZ), Vol. 42/2023, Pages 35-40, BPB, 10/2023.

  2. Andreas Schliebitz; Heiko Tapken; Martin Atzmueller

    Preprocessing Ground-Based Hyperspectral Image Data for Improving CNN-based Classification

    In: Michael Leyer; Johannes Wichmann (Hrsg.). Lernen, Wissen, Daten, Analysen (LWDA) Conference Proceedings, Marburg, Germany, October 9-11, 2023. …

  3. Dan Hudson; Ruud JR Den Hartigh; L Rens A Meerhoff; Martin Atzmueller

    Explainable Multi-Modal and Local Approaches to Modelling Injuries in Sports Data

    In: 2023 IEEE International Conference on Data Mining Workshops (ICDMW). IEEE International Conference on Data Mining Workshops (ICDMW-2023), December …

  4. 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 …

  5. 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 …

  6. 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.

  7. 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.

  8. 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. …

  9. Martin Ben Ahmed; Niklas Wilming; Martin Atzmueller

    Graph Neural Network-Based Measurement Inference on Irregular Sensor Geometries

    In: 2023 IEEE 21st International Conference on Industrial Informatics (INDIN). IEEE International Conference on Industrial Informatics (INDIN), Pages …

  10. Felix Gerschner; Jonas Paul; Lukas Schmid; Nico Barthel; Victor Gouromichos; Florian Schmid; Martin Atzmueller; Andreas Theissler

    Domain Transfer for Surface Defect Detection using Few-Shot Learning on Scarce Data

    In: 2023 IEEE 21st International Conference on Industrial Informatics (INDIN). IEEE International Conference on Industrial Informatics (INDIN), Pages …

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