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Publications

Displaying results 1911 to 1920 of 15039.

  1. 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.

  2. 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.

  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. Timo Markert; Sebastian Matich; Daniel Neykov; Jonas Pfannes; Andreas Theissler; Martin Atzmueller

    Force-based Haptic Input Device and Online Motion Generator: Investigating Learning Curves in Robotic Telemanipulation

    In: 2024 IEEE International Conference on Robot and Human Interactive Communication (RO-MAN). IEEE International Conference on Robot and Human Interactive Communication (RO-MAN), Pages 1761-1767, IEEE, 2024.

  5. Martin Atzmueller; Johannes Fürnkranz; Tomávs Kliegr; Ute Schmid

    Explainable and interpretable machine learning and data mining

    In: Data Mining and Knowledge Discovery, Vol. 38, No. 5, Pages 2571-2595, Springer, 2024.

  6. 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.

  7. 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.

  8. Sana Hassan Imam; Christopher A. Metz; Lars Hornuf; Rolf Drechsler

    Determining the Effect of Feedback Quality on User Engagement on Online Idea Crowdsourcing Platforms Using an AI model | Proceedings of the ACM on Human-Computer Interaction

    In: Proceedings of the ACM on Human-Computer Interaction (PACMHCI), Vol. 8, ACM, 2024.

  9. Luis Octavio Arriaga Camargo; Jichen Guo; Rebecca Adam; Sebastian Houben; Frank Kirchner

    Bayesian Inverse Graphics for Few-Shot Concept Learning

    In: International Conference on Neural-Symbolic Learning and Reasoning 2024. International Conference on Neural-Symbolic Learning and Reasoning (NeSy-2024), Pages 141-165, Springer, 2024.

  10. Mario Klostermeier; Vassilios Yfantis; Achim Wagner; Martin Ruskowski

    A Numerical Study on the Parallelization of Dual Decomposition-based Distributed Mixed-Integer Programming

    In: 2024 European Control Conference (ECC). European Control Conference (ECC-2024), June 25-28, Stockholm, Sweden, Pages 2724-2729, IEEE, 2024.

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