| Modeling of daily pan evaporation in sub tropical climates using ANN, LS-SVR, Fuzzy Logic, and ANFIS MK Goyal, B Bharti, J Quilty, J Adamowski, A Pandey Expert systems with applications 41 (11), 5267-5276, 2014 | 268 | 2014 |
| Stream-flow forecasting using extreme learning machines: a case study in a semi-arid region in Iraq ZM Yaseen, O Jaafar, RC Deo, O Kisi, J Adamowski, J Quilty, A El-Shafie Journal of Hydrology 542, 603-614, 2016 | 257 | 2016 |
| Forecasting effective drought index using a wavelet extreme learning machine (W-ELM) model RC Deo, MK Tiwari, JF Adamowski, JM Quilty Stochastic environmental research and risk assessment 31, 1211-1240, 2017 | 190 | 2017 |
| Coupling machine learning methods with wavelet transforms and the bootstrap and boosting ensemble approaches for drought prediction A Belayneh, J Adamowski, B Khalil, J Quilty Atmospheric research 172, 37-47, 2016 | 132 | 2016 |
| Addressing the incorrect usage of wavelet-based hydrological and water resources forecasting models for real-world applications with best practices and a new forecasting framework J Quilty, J Adamowski Journal of hydrology 563, 336-353, 2018 | 124 | 2018 |
| Multiscale groundwater level forecasting: Coupling new machine learning approaches with wavelet transforms ATMS Rahman, T Hosono, JM Quilty, J Das, A Basak Advances in Water Resources 141, 103595, 2020 | 76 | 2020 |
| Very short-term reactive forecasting of the solar ultraviolet index using an extreme learning machine integrated with the solar zenith angle RC Deo, N Downs, AV Parisi, JF Adamowski, JM Quilty Environmental research 155, 141-166, 2017 | 72 | 2017 |
| On the applicability of maximum overlap discrete wavelet transform integrated with MARS and M5 model tree for monthly pan evaporation prediction A Ghaemi, M Rezaie-Balf, J Adamowski, O Kisi, J Quilty Agricultural and Forest Meteorology 278, 107647, 2019 | 71 | 2019 |
| Bootstrap rank‐ordered conditional mutual information (broCMI): A nonlinear input variable selection method for water resources modeling J Quilty, J Adamowski, B Khalil, M Rathinasamy Water Resources Research 52 (3), 2299-2326, 2016 | 70 | 2016 |
| Coupling the maximum overlap discrete wavelet transform and long short-term memory networks for irrigation flow forecasting S Mouatadid, JF Adamowski, MK Tiwari, JM Quilty Agricultural Water Management 219, 72-85, 2019 | 56 | 2019 |
| A stochastic data‐driven ensemble forecasting framework for water resources: A case study using ensemble members derived from a database of deterministic wavelet‐based models J Quilty, J Adamowski, MA Boucher Water Resources Research 55 (1), 175-202, 2019 | 54 | 2019 |
| Using ensembles of adaptive neuro-fuzzy inference system and optimization algorithms to predict reference evapotranspiration in subtropical climatic zones DK Roy, R Barzegar, J Quilty, J Adamowski Journal of Hydrology 591, 125509, 2020 | 42 | 2020 |
| Using bootstrap ELM and LSSVM models to estimate river ice thickness in the Mackenzie River Basin in the Northwest Territories, Canada R Barzegar, M Ghasri, Z Qi, J Quilty, J Adamowski Journal of Hydrology 577, 123903, 2019 | 39 | 2019 |
| A stochastic wavelet-based data-driven framework for forecasting uncertain multiscale hydrological and water resources processes J Quilty, J Adamowski Environmental Modelling & Software 130, 104718, 2020 | 35 | 2020 |
| Data assimilation for streamflow forecasting using extreme learning machines and multilayer perceptrons MA Boucher, J Quilty, J Adamowski Water Resources Research 56 (6), e2019WR026226, 2020 | 31 | 2020 |
| A novel ensemble-based conceptual-data-driven approach for improved streamflow simulations AE Sikorska-Senoner, JM Quilty Environmental Modelling & Software 143, 105094, 2021 | 27 | 2021 |
| Improving GALDIT-based groundwater vulnerability predictive mapping using coupled resampling algorithms and machine learning models R Barzegar, S Razzagh, J Quilty, J Adamowski, HK Pour, MJ Booij Journal of hydrology 598, 126370, 2021 | 19 | 2021 |
| Probabilistic urban water demand forecasting using wavelet-based machine learning models M Rezaali, J Quilty, A Karimi Journal of Hydrology 600, 126358, 2021 | 15 | 2021 |
| The application of dynamic linear bayesian models in hydrological forecasting: varying coefficient regression and discount weighted regression M Ciupak, B Ozga-Zielinski, J Adamowski, J Quilty, B Khalil Journal of Hydrology 530, 762-784, 2015 | 11 | 2015 |
| A maximal overlap discrete wavelet packet transform integrated approach for rainfall forecasting–A case study in the Awash River Basin (Ethiopia) J Quilty, J Adamowski Environmental Modelling & Software 144, 105119, 2021 | 9 | 2021 |
Professor Ravinesh Deo, Highly Cited...Full Professor in Mathematics and Applied Artificial IntelligenceVerified email at usq.edu.au
