Papacharalampous, Georgia: search on Z-Library

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1

How to explain and predict the shape parameter of the generalized extreme value distribution of streamflow extremes using a big dataset

Tyralis, Hristos, Papacharalampous, Georgia, Tantanee, Sarintip

Journal:

Journal of Hydrology

Year:

2019

Language:

english

File:

PDF, 2.19 MB

english, 2019

2

Probabilistic Hydrological Post-Processing at Scale: Why and How to Apply Machine-Learning Quantile Regression Algorithms

Papacharalampous, Georgia, Tyralis, Hristos, Langousis, Andreas, Jayawardena, Amithirigala W., Sivakumar, Bellie, Mamassis, Nikos, Montanari, Alberto, Koutsoyiannis, Demetris

Journal:

Year:

2019

File:

PDF, 6.31 MB

2019

3

Predictability of monthly temperature and precipitation using automatic time series forecasting methods

Papacharalampous, Georgia, Tyralis, Hristos, Koutsoyiannis, Demetris

Journal:

Acta Geophysica

Year:

2018

Language:

english

File:

PDF, 6.37 MB

english, 2018

4

Variable Selection in Time Series Forecasting Using Random Forests

Tyralis, Hristos, Papacharalampous, Georgia

Journal:

Year:

2017

Language:

english

File:

PDF, 5.38 MB

english, 2017

5

Hydrological time series forecasting using simple combinations: Big data testing and investigations on one-year ahead river flow predictability

Papacharalampous, Georgia, Tyralis, Hristos

Journal:

Journal of Hydrology

Year:

2020

File:

PDF, 8.36 MB

2020

6

Quantification of predictive uncertainty in hydrological modelling by harnessing the wisdom of the crowd: A large-sample experiment at monthly timescale

Papacharalampous, Georgia, Tyralis, Hristos, Koutsoyiannis, Demetris, Montanari, Alberto

Journal:

Advances in Water Resources

Year:

2019

File:

PDF, 4.20 MB

2019

7

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

Papacharalampous, Georgia, Koutsoyiannis, Demetris, Montanari, Alberto

Journal:

Advances in Water Resources

Year:

2019

File:

PDF, 3.00 MB

2019

8

Super ensemble learning for daily streamflow forecasting: large-scale demonstration and comparison with multiple machine learning algorithms

Tyralis, Hristos, Papacharalampous, Georgia, Langousis, Andreas

Journal:

Neural Computing and Applications

Year:

2020

File:

PDF, 2.60 MB

2020

9

One-step ahead forecasting of geophysical processes within a purely statistical framework

Papacharalampous, Georgia, Tyralis, Hristos, Koutsoyiannis, Demetris

Journal:

Geoscience Letters

Year:

2018

Language:

english

File:

PDF, 3.00 MB

english, 2018

10

Hydrological post-processing using stacked generalization of quantile regression algorithms: Large-scale application over CONUS

Tyralis, Hristos, Papacharalampous, Georgia, Burnetas, Apostolos, Langousis, Andreas

Journal:

Journal of Hydrology

Year:

2019

Language:

english

File:

PDF, 2.94 MB

english, 2019

11

Quantification of predictive uncertainty in hydrological modelling by harnessing the wisdom of the crowd: A large-sample experiment at monthly timescale

Papacharalampous, Georgia, Tyralis, Hristos, Koutsoyiannis, Demetris, Montanari, Alberto

Journal:

Advances in Water Resources

Year:

2019

Language:

english

File:

PDF, 4.20 MB

english, 2019

12

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

Papacharalampous, Georgia, Koutsoyiannis, Demetris, Montanari, Alberto

Journal:

Advances in Water Resources

Year:

2019

Language:

english

File:

PDF, 3.00 MB

english, 2019

13

Univariate Time Series Forecasting of Temperature and Precipitation with a Focus on Machine Learning Algorithms: a Multiple-Case Study from Greece

Papacharalampous, Georgia, Tyralis, Hristos, Koutsoyiannis, Demetris

Journal:

Water Resources Management

Year:

2018

Language:

english

File:

PDF, 4.36 MB

english, 2018

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