Estimating daily semantic segmentation maps of classified ocean eddies using sea level anomaly data from along-track altimetry by Eike Bolmer, Adili Abulaitijiang, Jürgen Kusche, Ribana Roscher, Ribana Roscher

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Explainable Machine Learning by Jochen Garcke, Ribana Roscher

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Detection of Anomalous Grapevine Berries Using Variational Autoencoders by Miro Miranda, Laura Zabawa, Anna Kicherer, Laurenz Strothmann, Uwe Rascher, Ribana Roscher, Ribana Roscher

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Explainable Machine Learning Reveals Capabilities, Redundancy, and Limitations of a Geospatial Air Quality Benchmark Dataset by Scarlet Stadtler, Clara Betancourt, Ribana Roscher

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Recognizing protected and anthropogenic patterns in landscapes using interpretable machine learning and satellite imagery by Timo T. Stomberg, Johannes Leonhardt, Immanuel Weber, Ribana Roscher

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Explainable Machine Learning for Scientific Insights and Discoveries by Ribana Roscher, Bastian Bohn, Marco F. Duarte, Jochen Garcke

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Meta-learning to address diverse Earth observation problems across resolutions by Marc Rußwurm, Sherrie Wang, Benjamin Kellenberger, Ribana Roscher, Devis Tuia

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Behind the Leaves: Estimation of Occluded Grapevine Berries With Conditional Generative Adversarial Networks by Jana Kierdorf, Immanuel Weber, Anna Kicherer, Laura Zabawa, Lukas Drees, Ribana Roscher

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