| hydroscoper: R interface to the Greek National Data Bank for Hydrological and Meteorological Information K Vantas Journal of Open Source Software 3 (23), 625, 2018 | 5 | 2018 |
| Imputation of erosivity values under incomplete rainfall data by machine learning methods K Vantas, E Sidiropoulos European Water 57, 193-199, 2017 | 4 | 2017 |
| Rainfall Erosivity and Its Estimation: Conventional and Machine Learning Methods K Vantas, E Sidiropoulos, C Evangelides Soil Erosion-Rainfall Erosivity and Risk Assessment, 2019 | 2 | 2019 |
| Hyetor: R Package to Analyze Fixed Interval Precipitation Time Series. 2019 K Vantas http://doi.org/10.5281/zenodo.1403156, 2019 | 2* | 2019 |
| Temporal and elevation trend detection of rainfall erosivity density in Greece K Vantas, E Sidiropoulos, A Loukas 3rd International Electronic Conference on Water Sciences (ECWS-3), 2018 | 2 | 2018 |
| Determination of rainfall erosivity in the framework of data science using machine learning and geostatistics methods K Vantas Aristotle University of Thessaloniki, 2017 | 2 | 2017 |
| Estimating current and future rainfall erosivity in Greece using regional climate models and spatial quantile regression forests K Vantas, E Sidiropoulos, A Loukas Water 12 (3), 687, 2020 | 1 | 2020 |
| Robustness Spatiotemporal Clustering and Trend Detection of Rainfall Erosivity Density in Greece K Vantas, E Sidiropoulos, A Loukas Water 11 (5), 1050, 2019 | 1 | 2019 |
| Optimal temporal distribution curves for the classification of heavy precipitation using hierarchical clustering on principal components K Vantas, E Sidiropoulos, M Vafiadis Global NEST Journal 21 (4), 530 - 538, 2019 | | 2019 |
| Spatial groundwater resource allocation by means of extremal optimization, combined with a cellular automata component E Sidiropoulos, K Vantas, C Evangelides EGU General Assembly 2019 21 (EGU2019-10923), 2019 | | 2019 |
| A data driven approach for the temporal classification of heavy rainfall using Self-Organizing Maps K Vantas, E Sidiropoulos, M Vafeiadis EGU General Assembly 2019 21 (EGU2019-10680), 2019 | | 2019 |
| Rainfall Temporal Distribution in Thrace by Means of an Unsupervised Machine Learning Method K Vantas, E Sidiropoulos, M Vafiadis Protection and Restoration of the Environment XIV, 555 - 564, 2018 | | 2018 |
| noar: R interface to the National Observatory of Athens weather stations network K Vantas R package version 0.1.0, URL https://github.com/kvantas/noar, 2018 | | 2018 |
| erosivity: Calculation of rainfall erosivity using precipitation records K Vantas R package version 0.1.0, URL https://github.com/kvantas/erosivity, 2018 | | 2018 |
| emyweather: Climate data from the Greek National Meteorological Service K Vantas R package version 0.1.0, URL https://github.com/kvantas/emyweather, 2018 | | 2018 |
| Modeling distribution system water quality with HYDROSIM model S Yannopoulos, K Vantas, C Tzimopoulos, C Evaggelidis EWRA Seventh International Conference, 487-494, 2009 | | 2009 |
| Simulation of Water Quality in Water Distribution Networks K Vantas School of Rural and Surveying Engineering, Aristotle University of Thessaloniki, 2007 | | 2007 |
ATHANASIOS LOUKASAssoc. Professor of Hydrology and Water Resources, Aristotle University of ThessalonikiVerified email at topo.auth.gr
