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Publications

Displaying results 661 to 670 of 13867.

  1. 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.

  2. Harihara Bharathy Swaminathan; Aron Sommer; Uri Iurgel; Andreas Becker; Martin Atzmüller

    Change Detection in Automotive Radar Based Occupancy Maps Using Siamese Networks

    In: 2024 International Radar Symposium (IRS). International Radar Symposium (IRS-2024), located at Microwave and Radar Week (MRW 2024), July 2-4, Poland, Pages 56-61, IEEE, 2024.

  3. Sławomir Nowaczyk; Przemysław Biecek; Neo Christopher Chung; Mauro Vallati; Paweł Skruch; Joanna Jaworek-Korjakowska; Simon Parkinson; Alexandros Nikitas; Martin Atzmüller; TomᨠKliegr

    Artificial Intelligence. ECAI 2023 International Workshops: XAI 3, TACTIFUL, XI-ML, SEDAMI, RAAIT, AI4S, HYDRA, AI4AI, Kraków, Poland, September 30--October 4, 2023, Proceedings, Part I

    Springer, 2024.

  4. Moritz Lucas; Viacheslav Barkov; Ralf Pecenka; Martin Atzmueller; Björn Waske

    Mapping Trees outside Forests using Semantic Segmentation

    In: Proc. IEEE International Geoscience and Remote Sensing Symposium. IEEE International Geoscience and Remote Sensing Symposium (IGARSS-2024), Pages 4435-4438, IEEE, 2024.

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

    Stay Tuned! Analysing Hyperparameters of a Wide-Kernel Architecture for Industrial Faults

    In: Proceedings 2024 IEEE Conference on Artificial Intelligence (CAI). IEEE Conference on Artificial Intelligence (CAI-2024), June 25-27, Marina Bay Sands, Singapore, Pages 1350-1356, IEEE Xplore, 2024.

  6. 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.

  7. Viacheslav Barkov; Jonas Schmidinger; Robin Gebbers; Martin Atzmueller

    An Efficient Model-Agnostic Approach for Uncertainty Estimation in Data-Restricted Pedometric Applications

    In: Proc. International Conference on Machine Learning and Applications. International Conference on Machine Learning and Applications (ICMLA-2024), Pages 1-8, IEEE, 2024.

  8. Jurgen van den Hoogen; Dan Hudson; Martin Atzmueller

    Graph Signal Processing (GSP) Unearths the Best Locations for Soil Moisture Sensors

    In: Proc. International Conference on Machine Learning and Applications. International Conference on Machine Learning and Applications (ICMLA-2024), Pages 1-6, IEEE, 2024.

  9. Frank Ehebrecht; Toni Scharle; Martin Atzmueller

    PINNtegrate: PINN-based Integral-Learning for Variational and Interface Problems

    In: Proceedings of the 1st ECAI Workshop on "Machine Learning Meets Differential Equations: From Theory to Applications". Workshop on Machine Learning Meets Differential Equations (ML-DE-2024), located at ECAI 2024, September 20, Santiago de Compostela, Spain, Pages 1-16, Proceedings of Machine Learning Research (PMLR), Vol. 255, PMLR, 2024.

  10. 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.

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