150 citations · 400 across the 6 of their papers we have counts for
Showing 2019Show all
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stat.ML2019★ 150 cited
Super ensemble learning for daily streamflow forecasting: Large-scale demonstration and comparison with multiple machine learning algorithms
Hristos Tyralis, Georgia Papacharalampous, Andreas Langousis
Daily streamflow forecasting through data-driven approaches is traditionally performed using a single machine learning algorithm. Existing applications are mostly restricted to exa…
stat.ME2019★ 45 cited
Quantification of predictive uncertainty in hydrological modelling by harnessing the wisdom of the crowd: A large-sample experiment at monthly timescale
Georgia Papacharalampous, Hristos Tyralis, Demetris Koutsoyiannis +1
Predictive hydrological uncertainty can be quantified by using ensemble methods. If properly formulated, these methods can offer improved predictive performance by combining multip…