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ConvMOS: climate model output statistics with deep learning

, , , , , и . Data Mining and Knowledge Discovery, 37 (1): 136--166 (2023)
DOI: 10.1007/s10618-022-00877-6

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Michael Steininger

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Learning the relation of pollution to land usage. University of Würzburg, Lehrstuhl für Künstliche Intelligenz und Angewandte Informatik, (2018)InDiReCT: Language-Guided Zero-Shot Deep Metric Learning for Images., , и . WACV, стр. 1063-1072. IEEE, (2023)Räumliche Erfassung des organischen Kohlenstoffgehaltes von Böden einer landwirtschaftlichen Intensivregion aus Sentinel-2-Daten., , , , , , , и . GIL Jahrestagung, том P-330 из LNI, стр. 531-536. Gesellschaft für Informatik e.V., (2023)Semi-Supervised Learning for Grain Size Distribution Interpolation., , , , , , и . ICPR Workshops (6), том 12666 из Lecture Notes in Computer Science, стр. 34-44. Springer, (2020)Deep Learning for Geospatial Environmental Regression (Deep Learning für Regressionsmodelle mit georäumlichen Umweltdaten). Würzburg University, Germany, (2023)base-search.net (ftunivwuerz:oai:opus.bibliothek.uni-wuerzburg.de:31312).