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Publikationen

Zeige Ergebnisse 821 bis 830 von 3908.
  1. 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.

  2. 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.

  3. 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.

  4. Arnab Ghosh Chowdhury; Amos Smith; Martin Atzmueller

    Enhancing Convolutional Block Attention with Self-Attention on Agricultural Image Classification

    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 402-407, IEEE Computer Society, 2025.

  5. Steffen Meinert; Philipp Schlinge; Nils Strodthoff; Martin Atzmueller

    ProtoMask: Segmentation-Guided Prototype Learning

    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 881-888, IEEE Computer Society, 2025.

  6. Martin Atzmueller; Carolina Centeio Jorge; Cláudio Rebelo de Sá; Behzad M Heravi; Jenny L Gibson; Rosaldo JF Rossetti

    Mining exceptional social behavior on attributed interaction networks

    In: Machine Learning, Vol. 114, No. 11, Pages 1-34, Springer, 2025.

  7. Leonid Schwenke; Martin Atzmueller

    Evaluating Interpretability using Logical Relations: Do Saliency Maps Encode Relevant Information?

    In: Proc. IEEE International Conference on Data Science and Advanced Analytics, DSAA 2025. International Conference on Data Science and Advanced Analytics (DSAA), Pages 1-12, IEEE, 2025.

  8. Leonid Schwenke; Martin Atzmueller

    A Global Dataset-Specific Any-Order Minimal Expectation Baseline for Saliency Scores

    In: Proc. IEEE International Conference on Data Science and Advanced Analytics, DSAA 2025. International Conference on Data Science and Advanced Analytics (DSAA), Pages 1-10, IEEE, 2025.

  9. Daniel Büttner; Dirk Schöttke; Stephan Schäfer; Sönke Knoch; Daniel Porta; Tim Schwartz; Claudette Ocando Röhricht; Aaron Zielstorff; Andreas Bayha

    Adaptive Learning Paths for Industry 4.0 Competencies: Didactic Framework with Role- and Maturity-Based Differentiation Using the Asset Administration Shell

    In: Innovative Intelligent Industrial Production and Logistics. International Conference on Innovative Intelligent Industrial Production and Logistics (IN4PL-2025), Springer Nature Switzerland, 2025.

  10. Tobias Mahl; Sarah Rübel; Cai Hussung; Christian Köhler

    Geschäftsmodellinnovation in digitalen Ökosystemen - Ein Use-Case aus dem Bereich des E-Learnings im Kontext der beruflichen Weiterbildung

    In: Daniel Schallmo; Jens Uwe Pätzmann; Thomas Clauß; Verena Mattes. Entrepreneurship im digitalen Zeitalter - Fallstudien, Ansätze und Tools für Ökosysteme, Geschäftsmodelle und Technologien. Chapter 7, Geschäftsmodellinnovation in digitalen Ökosystemen, Pages 179-198, Schwerpunkt Business Model Innovation, ISBN 978-3-658-46409-7, Springer Gabler, Wiesbaden, 8/2025.