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Publikationen

Zeige Ergebnisse 711 bis 720 von 14871.

  1. 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.

  2. 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.

  3. 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.

  4. 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.

  5. Daniel Neykov; Timo Markert; Niklas Hellinger; Andreas Theissler; Martin Atzmueller; Sebastian Matich

    Differential Six-Axis Force and Torque Measurement in a Prototype Robotic Surgical Instrument

    In: 2025 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS). IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), Pages 11263-11270, IEEE, 10/2025.

  6. Leonid Schwenke; Till Stückemann; Martin Atzmueller

    Evaluating Higher-Level and Symbolic Features in Deep Learning on Time Series: Towards Simpler Explainability

    In: Proc. International Work-Conference on Artificial Neural Networks. International Work-Conference on Artificial Neural Networks (IWANN), Springer, 2025.

  7. Mandala von Westenholz; Martin Atzmueller; Tim Römer

    Simplicial complexes in network intrusion profiling: pattern construction through simplicial centralities

    In: Applied Network Science, Vol. 10, No. 1, Pages 1-27, SpringerOpen, 2025.

  8. Harihara Bharathy Swaminathan; Aron Sommer; Uri Iurgel; Andreas Becker; Martin Atzmueller

    Comparative Analysis of Deep Learning-Based Feature Extractors for Change Detection in Automotive Radar Maps

    In: IEEE Access (IEEE), Vol. 13, Pages 130629-130637, IEEE, 2025.

  9. Kevin Baum

    Disentangling AI Alignment: A Structured Taxonomy Beyond Safety and Ethics

    In: AISoLA 2024. International Conference on Bridging the Gap between AI and Reality (AiSoLA-2024), Springer NAture Switzerland, 2025.

  10. Dejanira Araiza-Illan; Kevin Baum; Helen Beebee; Raja Chatila; Sarah Moth-Lund Christensen; Simon Coghlan; Emily Collins; S.Kate Conroy; Alcino Cunha; Anna Dobrosovestnova; Hein Duijf; Vanessa Evers; Michael Fisher; Nico Hochgeschwender; Nadin Kökciyan; Séverin Lemaignan; Francisco Rodriguez-Lera; Sara Ljungblad; Martin Magnusson; Masoumeh Mansouri; Michael Milford; AJung Moon; Thomas M. Powers; Pericle Salvini; Teresa Scantamburlo; Nick Schuster; Marija Slavkovik; Ufuk Topcu; Daniel Vanegas; Andrzej Wasowski; Yi Yang

    A Roadmap for Responsible Robotics: Promoting Human Agency and Collaborative Efforts

    In: IEEE Robotics & Automation Magazine, Vol. 32, No. 4, Pages 12-24, IEEE, 2025.

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