| Measuring Turbulent Flows: Analyzing a Stochastic Process with Stochastic Tools E Rozos, J Wieland, J Leandro Fluids 9 (6), 128, 2024 | | 2024 |
| Post-Analysis of Daniel Extreme Flood Event in Thessaly, Central Greece: Practical Lessons and the Value of State-of-the-Art Water-Monitoring Networks E Dimitriou, A Efstratiadis, I Zotou, A Papadopoulos, T Iliopoulou, ... Water 16 (7), 980, 2024 | 2 | 2024 |
| Stochastic Analysis and Modeling of Velocity Observations in Turbulent Flows E Rozos, J Leandro, D Koutsoyiannis Journal of Environmental & Earth Sciences 6 (1), 45-56, 2024 | 1 | 2024 |
| Efficient flood early warning system for data-scarce, karstic, mountainous environments: A case study E Rozos, V Bellos, J Kalogiros, K Mazi Hydrology 10 (10), 203, 2023 | 2 | 2023 |
| A hybrid method to tackle conditional systematic errors of hydrological models E Rozos EGU General Assembly Conference Abstracts, EGU-8499, 2023 | | 2023 |
| Assessing Hydrological Simulations with Machine Learning and Statistical Models E Rozos Hydrology 10 (2), 49, 2023 | 4 | 2023 |
| Establishing and operating (pilot phase) a telemetric streamflow monitoring network in Greece K Mazi, AD Koussis, S Lykoudis, BE Psiloglou, G Vitantzakis, N Kappos, ... Hydrology 10 (1), 19, 2023 | 3 | 2023 |
| Synergizing machine learning and hydrological models: Enhancing early warning systems E Rozos, P Dimitriadis | 1 | 2023 |
| Development of rating curves: Machine learning vs. statistical methods E Rozos, J Leandro, D Koutsoyiannis Hydrology 9 (10), 166, 2022 | 5 | 2022 |
| KNN vs. Bluecat—Machine learning vs. classical statistics E Rozos, D Koutsoyiannis, A Montanari Hydrology 9 (6), 101, 2022 | 6 | 2022 |
| On the accuracy of particle image velocimetry with citizen videos—five typical case studies E Rozos, K Mazi, S Lykoudis Hydrology 9 (5), 72, 2022 | 5 | 2022 |
| Discharge estimation from surface-velocity observations by a maximum-entropy based method AD Koussis, P Dimitriadis, S Lykoudis, N Kappos, D Katsanos, I Koletsis, ... Hydrological Sciences Journal 67 (3), 451-461, 2022 | 6 | 2022 |
| Machine learning in assessing the performance of hydrological models E Rozos, P Dimitriadis, V Bellos Hydrology 9 (1), 5, 2021 | 37 | 2021 |
| OpenHi. net: A synergistically built, national-scale infrastructure for monitoring the surface waters of Greece N Mamassis, K Mazi, E Dimitriou, D Kalogeras, N Malamos, S Lykoudis, ... Water 13 (19), 2779, 2021 | 10 | 2021 |
| Efficient stochastic simulation of seawater intrusion, with mixing, in confined coastal aquifers E Rozos, K Mazi, AD Koussis Frontiers in Water 3, 720557, 2021 | 3 | 2021 |
| Probabilistic evaluation and filtering of image velocimetry measurements E Rozos, K Mazi, AD Koussis Water 13 (16), 2206, 2021 | 5 | 2021 |
| A multilayer perceptron model for stochastic synthesis E Rozos, P Dimitriadis, K Mazi, AD Koussis Hydrology 8 (2), 67, 2021 | 31 | 2021 |
| HYDRO-NET: Hydro-telemetric Network for surface waters-Innovations and Prospects K Mazi, AD Koussis, S Lykoudis, G Vitantzakis, P Dimitriadis, N Kappos, ... EGU General Assembly Conference Abstracts, EGU21-14956, 2021 | 3 | 2021 |
| On the uncertainty of the image velocimetry method parameters E Rozos, P Dimitriadis, K Mazi, S Lykoudis, A Koussis Hydrology 7 (3), 65, 2020 | 28 | 2020 |
| A methodology for simple and fast streamflow modelling E Rozos Hydrological Sciences Journal 65 (7), 1084-1095, 2020 | 12 | 2020 |
Christos MakropoulosProfessor, Dept. of Water Resources Management, School of Civil Engineering, NTUAVerified email at mail.ntua.gr