| SVR-based prediction of evaporation combined with chaotic approach Ö Baydaroğlu, K Koçak Journal of hydrology 508, 356-363, 2014 | 79 | 2014 |
| River flow prediction using hybrid models of support vector regression with the wavelet transform, singular spectrum analysis and chaotic approach Ö Baydaroğlu, K Koçak, K Duran Meteorology and Atmospheric Physics 130, 349-359, 2018 | 31 | 2018 |
| A Comprehensive Review of Ontologies in the Hydrology Towards Guiding Next Generation Artificial Intelligence Applications Ö Baydaroğlu, S Yeşilköy, Y Sermet, I Demir Journal of Environmental Informatics 42, 90-107, 2023 | 13 | 2023 |
| Prediction of commonly used drought indices using support vector regression powered by chaotic approach Ö Baydaroğlu, K Koçak, L Şaylan Italian Journal of Agrometeorology, 65-76, 2021 | 9* | 2021 |
| Spatiotemporal analysis of wind speed via the Bayesian maximum entropy approach Ö Baydaroğlu, K Koçak Environmental earth sciences 78 (1), 17, 2019 | 7 | 2019 |
| Temporal and spatial satellite data augmentation for deep learning-based rainfall nowcasting Ö Baydaroğlu, I Demir Journal of Hydroinformatics, jh2024235, 2024 | 4 | 2024 |
| State-level multidimensional agricultural drought susceptibility and risk assessment for agriculturally prominent areas SMS Islam, S Yeşilköy, Ö Baydaroğlu, E Yıldırım, I Demir International Journal of River Basin Management, 1-18, 2024 | 4 | 2024 |
| Is snow drought a messenger for the upcoming severe drought period? A case study in the upper Mississippi river basin S Yeşilköy, Ö Baydaroğlu, I Demir EarthArXiv, 2023 | 4 | 2023 |
| A Contemporary Systematic Review of Cyberinfrastructure Systems and Applications for Flood and Drought Data Analytics and Communication S Yeşilköy, Ö Baydaroğlu, N Singh, Y Sermet, I Demir EarthArXiv, 2023 | 3 | 2023 |
| Coping with Information Extraction from In-Situ Data Acquired in Natural Streams Ö Baydaroğlu, M Muste, AB Cikmaz, K Kim, E Meselhe, I Demir EarthArXiv, 2024 | 1 | 2024 |
| Reconstruction of Evaporation Dynamics from Time Series Ö BAYDAROĞLU, K KOÇAK Chaotic Modelling and Simulation (CMSIM) 3, 271-279, 2013 | 1 | 2013 |
| Spatiotemporal Shift and Heterogeneity of Rain-on-Snow Events S Yeşilköy, Ö Baydaroğlu EarthArXiv, 2024 | | 2024 |
| Novel Integration of Direct Measurements with Numerical Models for Real-Time Estimation and Forecasting of Streamflow Response to Cyclical Processes E House, M Muste, EA Meselhe, I Demir, B Cikmaz, O Baydaroglu, ... AGU23, 2023 | | 2023 |
| Monitoring the Manning's n Coefficient Variation over the Yearly Cycle M Muste, B Cikmaz, A Lamoreux, Ö BaydaroğluYeşilköy, I Demir, ... 40th IAHR World Congress, 2023 | | 2023 |
| Estimation of PM10 concentrations in Turkey based on Bayesian maximum entropy ÖB Yeşilköy International Advanced Researches and Engineering Journal 4 (1), 48-55, 2020 | | 2020 |
| Spatiotemporal model of Turkey wind speed data with Bayesian maximum entropy approach (Türkiye Rüzgar Verilerinin Bayesyen Maksimum Entropi Yaklaşımıyla Uzay-zaman Modeli) Ö Baydaroğlu Fen Bilimleri Enstitüsü, 2016 | | 2016 |
| ENTROPY-BASED VARIABILITY AND SUPPORT VECTOR REGRESSION-BASED FORECAST OF DROUGHT INDEX Ö Baydaroğlu | | |
| RECONSTRUCTION of GAPS in FLOW SERIES USING SINGULAR SPECTRUM ANALYSIS (SSA) K AĞAÇ, Ö BAYDAROĞLU, K KOÇAK | | |
Kasım Koçakİstanbul Teknik ÜniversitesiVerified email at itu.edu.tr
