Georgia A Papacharalampous
Georgia A Papacharalampous
Post-Doctoral Researcher at the Roma Tre University and the University of Patras
Verified email at upatras.gr - Homepage
Title
Cited by
Cited by
Year
Twenty-three Unsolved Problems in Hydrology (UPH)–a community perspective
G Bl÷schl, MFP Bierkens, A Chambel, C Cudennec, G Destouni, A Fiori, ...
Hydrological Sciences Journal 64 (10), 1141–1158, 2019
1552019
A brief review of random forests for water scientists and practitioners and their recent history in water resources
H Tyralis, G Papacharalampous, A Langousis
Water 11 (5), 910, 2019
902019
Variable Selection in Time Series Forecasting Using Random Forests
H Tyralis, G Papacharalampous
Algorithms 10 (4), 114, 2017
832017
Comparison of stochastic and machine learning methods for multi-step ahead forecasting of hydrological processes
GA Papacharalampous, H Tyralis, D Koutsoyiannis
Stochastic Environmental Research and Risk Assessment 33 (2), 481–514, 2019
75*2019
Predictability of monthly temperature and precipitation using automatic time series forecasting methods
G Papacharalampous, H Tyralis, D Koutsoyiannis
Acta Geophysica 66 (4), 807–831, 2018
572018
One-step ahead forecasting of geophysical processes within a purely statistical framework
G Papacharalampous, H Tyralis, D Koutsoyiannis
Geoscience Letters 5 (1), 12, 2018
33*2018
Evaluation of random forests and Prophet for daily streamflow forecasting
GA Papacharalampous, H Tyralis
Advances in Geosciences 45, 201–208, 2018
28*2018
Univariate time series forecasting of temperature and precipitation with a focus on machine learning algorithms: A multiple-case study from Greece
G Papacharalampous, H Tyralis, D Koutsoyiannis
Water Resources Management 32 (15), 5207–5239, 2018
272018
How to explain and predict the shape parameter of the generalized extreme value distribution of streamflow extremes using a big dataset
H Tyralis, G Papacharalampous, S Tantanee
Journal of Hydrology 574, 628–645, 2019
232019
Hydrological post-processing using stacked generalization of quantile regression algorithms: Large-scale application over CONUS
H Tyralis, GA Papacharalampous, A Burnetas, A Langousis
Journal of Hydrology 577, 123957, 2019
222019
Forecasting of geophysical processes using stochastic and machine learning algorithms
GA Papacharalampous, H Tyralis, D Koutsoyiannis
European Water, 161–168, 2017
192017
Probabilistic hydrological post-processing at scale: Why and how to apply machine-learning quantile regression algorithms
G Papacharalampous, H Tyralis, A Langousis, AW Jayawardena, ...
Water 11 (10), 2126, 2019
152019
Large-scale assessment of Prophet for multi-step ahead forecasting of monthly streamflow
H Tyralis, GA Papacharalampous
Advances in Geosciences 45, 147–153, 2018
152018
Error evolution in multi-step ahead streamflow forecasting for the operation of hydropower reservoirs
G Papacharalampous, H Tyralis, D Koutsoyiannis
Preprints 2017100129, 2017
10*2017
Super ensemble learning for daily streamflow forecasting: Large-scale demonstration and comparison with multiple machine learning algorithms
H Tyralis, G Papacharalampous, A Langousis
Neural Computing and Applications, 1-16, 2020
9*2020
Quantification of predictive uncertainty in hydrological modelling by harnessing the wisdom of the crowd: A large-sample experiment at monthly timescale
G Papacharalampous, H Tyralis, D Koutsoyiannis, A Montanari
Advances in Water Resources 136, 103470, 2020
92020
Quantification of predictive uncertainty in hydrological modelling by harnessing the wisdom of the crowd: Methodology development and investigation using toy models
G Papacharalampous, D Koutsoyiannis, A Montanari
Advances in Water Resources 136, 103471, 2020
82020
Hydrological time series forecasting using simple combinations: Big data testing and investigations on one-year ahead river flow predictability
G Papacharalampous, H Tyralis
Journal of Hydrology 590, 125205, 2020
62020
Theoretical and empirical comparison of stochastic and machine learning methods for hydrological processes forecasting
GA Papacharalampous
National Technical University of Athens, 2017
4*2017
Zone of flow establishment in turbulent jets
P Dimitriadis, M Liveri-Dalaveri, A Kaldis, C Kotsalos, ...
EGU General Assembly Conference Abstracts 14, 12716, 2012
42012
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Articles 1–20