2 papers
stat.AP2020
Global-scale massive feature extraction from monthly hydroclimatic time series: Statistical characterizations, spatial patterns and hydrological similarity
Georgia Papacharalampous, Hristos Tyralis, Simon Michael Papalexiou +4
Hydroclimatic time series analysis focuses on a few feature types (e.g., autocorrelations, trends, extremes), which describe a small portion of the entire information content of th…
stat.ML2019
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…