activity
20192026
most citedA review of predictive uncertainty estimation with machine learning

158 citations · 364 across the 23 of their papers we have counts for

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5 papers · 1 filter

stat.ME2025

Loss functions arising from the index of agreement

Hristos Tyralis, Georgia Papacharalampous

We examine the theoretical properties of the index of agreement loss function , the negatively oriented counterpart of Willmott's index of agreement, a common metric in enviro…

stat.ME2022

Time series features for supporting hydrometeorological explorations and predictions in ungauged locations using large datasets

Georgia Papacharalampous, Hristos Tyralis

Regression-based frameworks for streamflow regionalization are built around catchment attributes that traditionally originate from catchment hydrology, flood frequency analysis and…

stat.ME2022★ 19 cited

Hydrological post-processing for predicting extreme quantiles

Hristos Tyralis, Georgia Papacharalampous

Hydrological post-processing using quantile regression algorithms constitutes a prime means of estimating the uncertainty of hydrological predictions. Nonetheless, conventional lar…

stat.ME2019

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…

stat.ME2019

Quantification of predictive uncertainty in hydrological modelling by harnessing the wisdom of the crowd: Methodology development and investigation using toy models

Georgia Papacharalampous, Demetris Koutsoyiannis, Alberto Montanari

We introduce an ensemble learning post-processing methodology for probabilistic hydrological modelling. This methodology generates numerous point predictions by applying a single h…