Ioannis C Trichakis
Title
Cited by
Cited by
Year
Artificial neural network (ANN) based modeling for karstic groundwater level simulation
IC Trichakis, IK Nikolos, GP Karatzas
Water Resources Management 25 (4), 1143-1152, 2011
642011
A spatio-temporal hybrid neural network-Kriging model for groundwater level simulation
E Tapoglou, GP Karatzas, IC Trichakis, EA Varouchakis
Journal of hydrology 519, 3193-3203, 2014
532014
Optimal selection of artificial neural network parameters for the prediction of a karstic aquifer's response
IC Trichakis, IK Nikolos, GP Karatzas
Hydrological Processes: An International Journal 23 (20), 2956-2969, 2009
522009
Modeling the saltwater intrusion phenomenon in coastal aquifers–A case study in the industrial zone of Herakleio in Crete
MA Papadopoulou, GP Karatzas, MA Koukadaki, Y Trichakis
Global NEST J 7 (2), 197-203, 2005
462005
Groundwater-level forecasting under climate change scenarios using an artificial neural network trained with particle swarm optimization
E Tapoglou, IC Trichakis, Z Dokou, IK Nikolos, GP Karatzas
Hydrological Sciences Journal 59 (6), 1225-1239, 2014
282014
Comparison of bootstrap confidence intervals for an ANN model of a karstic aquifer response
I Trichakis, I Nikolos, GP Karatzas
Hydrological Processes 25 (18), 2827-2836, 2011
202011
Towards a pan-European integrated groundwater and surface water model: development and applications
I Trichakis, P Burek, A De Roo, A Pistocchi
Environmental Processes 4 (1), 81-93, 2017
72017
Large scale hydro-economic modelling for policy support
A de Roo, P Burek, F Bouraoui, A Reynaud, A Udias, A Pistocchi, ...
EGUGA, 2951, 2014
62014
Hydraulic head uncertainty estimations of a complex artificial intelligence model using multiple methodologies
E Tapoglou, EA Varouchakis, IC Trichakis, GP Karatzas
Journal of Hydroinformatics 22 (1), 205-218, 2020
42020
Groundwater level forecasting using an artificial neural network trained with particle swarm optimization
E Tapoglou, IC Trichakis, Z Dokou, GP Karatzas
Proc. Geophysical Research, 2012
22012
Blending satellite and ground precipitation observations using geostatistics and machine learning.
GP Karatzas, E Varouchakis, I Trichakis, A Kamińska-Chuchmała
Geophysical Research Abstracts 21, 2019
2019
Values and Preferences for Domestic Water Use: A Study from the Transboundary River Basin of Mékrou (West Africa)
V Markantonis, C Dondeynaz, D Latinopoulos, K Bithas, I Trichakis, ...
Water 10 (9), 1232, 2018
2018
Inferring Aquifer Transmissivity from River Flow Data
I Trichakis, A Pistocchi
EGUGA, EPSC2016-15562, 2016
2016
Uncertainty analysis of a combined Artificial Neural Network-Fuzzy logic-Kriging system for spatial and temporal simulation of Hydraulic Head.
E Tapoglou, GP Karatzas, IC Trichakis, EA Varouchakis
EGUGA, 407, 2015
2015
Temporal and Spatial prediction of groundwater levels using Artificial Neural Networks, Fuzzy logic and Kriging interpolation.
E Tapoglou, GP Karatzas, IC Trichakis, EA Varouchakis
EGUGA, 773, 2014
2014
Flow Forecasting via Artificial Neural Networks-A Study for Input Variables conditioned on atmospheric circulation
D Panagoulia, I Trichakis, GJ Tsekouras
EGUGA, 4662, 2012
2012
On the thresholds in modeling of high flows via artificial neural networks-A bootstrapping analysis
D Panagoulia, I Trichakis
EGUGA, 4653, 2012
2012
Quantification of artificial neural network uncertainty with bootstrap percentile intervals for the prediction of a karstic aquifer¢s response
IC Trichakis, GP Karatzas, IK Nikolos
2010
On the Use of Random-Walk Based Training Algorithms for Neural Networks Applied in Environmental Modeling
IC Trichakis, IK Nikolos, GP Karatzas
XVIII International Conference on Computational Methods in Water Resources …, 2010
2010
The ptc groundwater model for the simulation of the mavrosouvala aquifer in Attica.
I Trichakis, E Baltas
WSEAS Transactions on Environment and Development 2 (11), 1422-1426, 2006
2006
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Articles 1–20