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Journal: Water, 2019
Volume: 11
Number: 2126

Article: Probabilistic Hydrological Post-Processing at Scale: Why and How to Apply Machine-Learning Quantile Regression Algorithms
Authors: by Georgia Papacharalampous, Hristos Tyralis, Andreas Langousis, Amithirigala W. Jayawardena, Bellie Sivakumar, Nikos Mamassis, Alberto Montanari and Demetris Koutsoyiannis
Link: https://www.mdpi.com/2073-4441/11/10/2126

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