Improving GALDIT-based groundwater vulnerability predictive mapping using coupled resampling algorithms and machine learning modelsRahim Barzegar, Martijn J. Booij, Siamak Razzagh et al.|Journal of Hydrology|2021Cited by 99
Using ensembles of adaptive neuro-fuzzy inference system and optimization algorithms to predict reference evapotranspiration in subtropical climatic zonesDilip Kumar Roy, Jan Adamowski, Rahim Barzegar et al.|Journal of Hydrology|2020Cited by 87
Using bootstrap ELM and LSSVM models to estimate river ice thickness in the Mackenzie River Basin in the Northwest Territories, CanadaRahim Barzegar, Jan Adamowski, Mahsa Ghasri et al.|Journal of Hydrology|2019Cited by 60
Comparing the Soil Conservation Service model with new machine learning algorithms for predicting cumulative infiltration in semi-arid regionsKhabat Khosravi, Dieu Tien Bui, Phuong Thao Thi Ngo et al.|Pedosphere|2022Cited by 5
Using a boundary-corrected wavelet transform coupled with machine learning and hybrid deep learning approaches for multi-step water level forecasting in Lakes Michigan and OntarioRahim Barzegar, Mohammad Taghi Aalami, Jan Adamowski et al.|Unknown|2020Cited by 1