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Publikationen

Seite 1 von 5.

  1. Benjamin Kisliuk; Christoph Tieben; Martin Atzmueller

    Enabling Reliable Long-Term Robotic Data Acquisition: An Exemplary Use-Case in Agricultural Plant Monitoring

    In: Tamim Asfour (Hrsg.). 1st German Robotics Conference. German Robotics Conference (GRC-2025), March 13-15, Nuremberg, Germany, GRC, 2025.

  2. Juan Carlos Saborío; Marc Vinci; Oscar Lima; Sebastian Stock; Lennart Niecksch; Martin Günther; Alexander Sung; Joachim Hertzberg; Martin Atzmueller

    Uncertainty-Resilient Active Intention Recognition for Robotic Assistants

    In: 2025 European Conference on Mobile Robots. European Conference on Mobile Robots (ECMR-2025), September 3-5, Padua, Italy, IEEE, 2025.

  3. J. Schmidinger; V. Barkov; H. Tavakoli; J. Correa; M. Ostermann; Martin Atzmueller; R. Gebbers; S. Vogel

    Which and how many soil sensors are ideal to predict key soil properties: A case study with seven sensors

    In: Geoderma, Vol. 450, Pages 1-34, Geoderma, 10/2024.

  4. Arnab Ghosh Chowdhury; David Massanés; Steffen Meinert; Martin Atzmueller

    A Framework for Explanation-Aware Visualization and Adjudication in Object Detection: First Results and Perspectives

    In: J.M. Ferrández Vicente; M. Val Calvo; H. Adeli (Hrsg.). Artificial Intelligence for Neuroscience and Emotional Systems. International Conference on the Interplay between Natural and Artificial Computation (IWINAC-2024), June 4-7, Olhâo, Portugal, Pages 496-506, Lecture Notes in Computer Science (LNCS), Vol. 14674, Springer, Cham, 5/2024.

  5. 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, Vol. 18, No. 2, Pages 157-174, Springer, 2024.

  6. Sophia Sylvester; Merle Sagehorn; Thomas Gruber; Martin Atzmueller; Benjamin Schöne

    SHAP value-based ERP analysis (SHERPA): Increasing the sensitivity of EEG signals with explainable AI methods

    In: Behavior Research Methods, Pages 1-15, Springer, 2024.

  7. Dietmar Seipel; Marcel Waleska; Daniel Weidner; Sven Rausch; Martin Atzmueller

    Post--Mining on Association Rule Bases

    In: Proc. European Conference on Artificial Intelligence Workshops. European Conference on Artificial Intelligence (ECAI-2023), Pages 23-35, Springer, 2024.

  8. Dan Hudson; Martin Atzmueller

    Subgroup Discovery with SD4Py

    In: Proc. European Conference on Artificial Intelligence Workshops. European Conference on Artificial Intelligence (ECAI-2023), ECAI Workshops, Pages 338-348, Springer, 2024.

  9. Ruud. J. R. Den Hartigh; L. Rens A. Meerhoff; Nico W. Van Yperen; Niklas D. Neumann; Jur J. Brauers; Wouter G. P. Frencken; Ando Emerencia; Yannick Hill; Sebastiaan Platvoet; Martin Atzmueller; Koen A. P. M. Lemmink; Michel S. Brink

    Resilience in Sports: A Multidisciplinary, Dynamic, and Personalized Perspective

    In: International Review of Sport and Exercise Psychology, Vol. 17, No. 1, Pages 564-586, Routledge, 2024.

  10. Jurgen Van Den Hoogen; Dan Hudson; Martin Atzmueller

    Data-Hungry Fault Detection Algorithms Can Try Transfer Learning for Starters

    In: Proc. IEEE International Conference on Data Engineering Workshops (ICDEW). IEEE International Conference on Data Engineering (ICDE-2024), Pages 91-95, IEEE, 2024.