Hristos Tyralis

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	All	Since 2016
Citations	1025	988
h-index	17	17
i10-index	24	24

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Co-authors

Demetris KoutsoyiannisProf. of Hydrology & Hydrosystems; Dept. of Water Resources; School of Civil Engineering; NTU AthensVerified email at itia.ntua.gr
Georgia A PapacharalampousPost-Doctoral Researcher at the Roma Tre University and the University of PatrasVerified email at upatras.gr
Andreas LangousisAssociate Professor, Department of Civil Engineering, University of Patras (UPatras), GreeceVerified email at upatras.gr
Panayiotis DimitriadisDepartment of Water Resources and Environmental Engineering, School of Civil Engineering, NTUAVerified email at itia.ntua.gr
Nikos MamassisAssociate Professor of Hydrology; Dept. of Water Resources; School of Civil Engineering; NTU AthensVerified email at itia.ntua.gr
Theano IliopoulouNational Technical University of Athens, School of Civil Engineering, Department of Water ResourcesVerified email at central.ntua.gr
Georgios KarakatsanisPhD Researcher in Energy, environment and economic growth, National Technical University of Athens (NTUA)Verified email at itia.ntua.gr
Alberto MontanariProfessor of Hydrology and Water Engineering, University of BolognaVerified email at unibo.it
Aristoteles TegosNational Technical University AthensVerified email at itia.ntua.gr
Yorgos N. PhotisProfessor of Geographical Analysis and Locational Planning, National Technical University of AthensVerified email at mail.ntua.gr
Apostolos BurnetasDepartment of Mathematics, National and Kapodistrian University of AthensVerified email at math.uoa.gr
Andreas EfstratiadisAssistant Professor, National Technical University of AthensVerified email at itia.ntua.gr
Simon Michael PapalexiouUniversity of California, Irvine (UCI)Verified email at uci.edu
Sarintip TantaneeNaresuan UniversityVerified email at nu.ac.th
Thomas DimopoulosNeapoilis University PaphosVerified email at nup.ac.cy
Diofantos G. HadjimitsisProfessor, Cyprus University of Technology, Coordinator of the 'Excelsior' H2020 Teaming ProjectVerified email at cut.ac.cy
Nikolaos BakasLecturer, Neapolis University PafosVerified email at nup.ac.cy
Tsoukala V.K.Ass. Professor of Enviromental Marine Engineering, Director of the Laboratory of Harbour Works NTUAVerified email at mail.ntua.gr
Evangelos MoschosPhD Student, École PolytechniqueVerified email at lmd.polytechnique.fr
Panagiotis VoudourisNational and Kapodistrian University of AthensVerified email at geol.uoa.gr

Hristos Tyralis

Hellenic Air Force

Verified email at itia.ntua.gr - Homepage

hydrology forecasting random forests machine learning statistical learning


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Twenty-three Unsolved Problems in Hydrology (UPH)–a community perspective G Blöschl, MFP Bierkens, A Chambel, C Cudennec, G Destouni, A Fiori, ... Hydrological Sciences Journal 64 (10), 1141-1158, 2019	153	2019
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	89*	2019
Simultaneous estimation of the parameters of the Hurst–Kolmogorov stochastic process H Tyralis, D Koutsoyiannis Stochastic Environmental Research and Risk Assessment 25 (1), 21-33, 2011	86	2011
Variable selection in time series forecasting using random forests H Tyralis, G Papacharalampous Algorithms 10 (4), 114, 2017	83	2017
Comparison of stochastic and machine learning methods for multi-step ahead forecasting of hydrological processes G 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	57	2018
One-step ahead forecasting of geophysical processes within a purely statistical framework G Papacharalampous, H Tyralis, D Koutsoyiannis Geoscience Letters 5 (12), 2018	33*	2018
A Bayesian statistical model for deriving the predictive distribution of hydroclimatic variables H Tyralis, D Koutsoyiannis Climate Dynamics 42 (11-12), 2867-2883, 2014	32	2014
On the long-range dependence properties of annual precipitation using a global network of instrumental measurements H Tyralis, P Dimitriadis, D Koutsoyiannis, PE O'Connell, K Tzouka, ... Advances in Water Resources 111, 301-318, 2018	30	2018
HKprocess: Hurst-Kolmogorov process. R package version 0.0-2 H Tyralis https://CRAN.R-project.org/package=HKprocess, 2016	29	2016
Evaluation of random forests and Prophet for daily streamflow forecasting G 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	27	2018
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	23	2019
On the prediction of persistent processes using the output of deterministic models H Tyralis, D Koutsoyiannis Hydrological Sciences Journal 62 (13), 2083-2102, 2017	23	2017
Hydrological post-processing using stacked generalization of quantile regression algorithms: Large-scale application over CONUS H Tyralis, G Papacharalampous, A Burnetas, A Langousis Journal of Hydrology 577, 123957, 2019	22	2019
Forecasting of geophysical processes using stochastic and machine learning algorithms GA Papacharalampous, H Tyralis, D Koutsoyiannis European Water, 161-168, 2017	19	2017
Spatial analysis of the electrical energy demand in Greece H Tyralis, N Mamassis, YN Photis Energy Policy 102, 340-352, 2017	18	2017
Exploratory data analysis of the electrical energy demand in the time domain in Greece H Tyralis, G Karakatsanis, K Tzouka, N Mamassis Energy 134, 902-918, 2017	17*	2017
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	15	2019
Accuracy measurement of random forests and linear regression for mass appraisal models that estimate the prices of residential apartments in Nicosia, Cyprus T Dimopoulos, H Tyralis, NP Bakas, D Hadjimitsis Advances in Geosciences 45, 377-382, 2018	15	2018

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