Bahram Choubin
Bahram Choubin
Assistant professor-West Azarbaijan Agricultural and Natural Resources Research Institute-AREEO
Verified email at - Homepage
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Cited by
An ensemble prediction of flood susceptibility using multivariate discriminant analysis, classification and regression trees, and support vector machines
B Choubin, E Moradi, M Golshan, J Adamowski, F Sajedi-Hosseini, ...
Science of The Total Environment 651, 2087-2096, 2019
Urban flood risk mapping using the GARP and QUEST models: A comparative study of machine learning techniques
H Darabi, B Choubin, O Rahmati, AT Haghighi, B Pradhan, B Kløve
Journal of hydrology 569, 142-154, 2019
River suspended sediment modelling using the CART model: A comparative study of machine learning techniques
B Choubin, H Darabi, O Rahmati, F Sajedi-Hosseini, B Kløve
Science of the Total Environment 615, 272-281, 2018
A novel machine learning-based approach for the risk assessment of nitrate groundwater contamination
F Sajedi-Hosseini, A Malekian, B Choubin, O Rahmati, S Cipullo, ...
Science of the total environment 644, 954-962, 2018
Multiple linear regression, multi-layer perceptron network and adaptive neuro-fuzzy inference system for the prediction of precipitation based on large-scale climate signals
B Choubin, S Khalighi-Sigaroodi, A Malekian, Ö Kişi
Hydrological Sciences Journal 61 (6), 1001-1009, 2016
Drought forecasting in a semi-arid watershed using climate signals: a neuro-fuzzy modeling approach
B Choubin, S Khalighi-Sigaroodi, A Malekian, S Ahmad, P Attarod
Journal of Mountain Science 11 (6), 1593-1605, 2014
Flash-flood hazard assessment using ensembles and Bayesian-based machine learning models: Application of the simulated annealing feature selection method
FS Hosseini, B Choubin, A Mosavi, N Nabipour, S Shamshirband, ...
Science of the total environment 711, 135161, 2020
Predicting uncertainty of machine learning models for modelling nitrate pollution of groundwater using quantile regression and uneec methods
O Rahmati, B Choubin, A Fathabadi, F Coulon, E Soltani, H Shahabi, ...
Science of the Total Environment 688, 855-866, 2019
Snow avalanche hazard prediction using machine learning methods
B Choubin, M Borji, A Mosavi, F Sajedi-Hosseini, VP Singh, ...
Journal of Hydrology 577, 123929, 2019
Spatial hazard assessment of the PM10 using machine learning models in Barcelona, Spain
B Choubin, M Abdolshahnejad, E Moradi, X Querol, A Mosavi, ...
Science of The Total Environment, 134474, 2020
Precipitation forecasting using classification and regression trees (CART) model: a comparative study of different approaches
B Choubin, G Zehtabian, A Azareh, E Rafiei-Sardooi, F Sajedi-Hosseini, ...
Environmental earth sciences 77 (8), 1-13, 2018
Integrated machine learning methods with resampling algorithms for flood susceptibility prediction
E Dodangeh, B Choubin, AN Eigdir, N Nabipour, M Panahi, ...
Science of the Total Environment 705, 135983, 2020
Combined gamma and M-test-based ANN and ARIMA models for groundwater fluctuation forecasting in semiarid regions
B Choubin, A Malekian
Environmental Earth Sciences 76 (15), 1-10, 2017
Long-term precipitation forecast for drought relief using atmospheric circulation factors: a study on the Maharloo Basin in Iran
SK Sigaroodi, Q Chen, S Ebrahimi, A Nazari, B Choobin
Hydrology and Earth System Sciences 18 (5), 1995-2006, 2014
Spatial prediction of soil erosion susceptibility using a fuzzy analytical network process: Application of the fuzzy decision making trial and evaluation laboratory approach
F Sajedi‐Hosseini, B Choubin, K Solaimani, A Cerdà, A Kavian
Land degradation & development 29 (9), 3092-3103, 2018
Application of several data-driven techniques to predict a standardized precipitation index
B Choubin, A Malekian, M Golshan
Atmósfera 29 (2), 121-128, 2016
Evaluation of watershed health using Fuzzy-ANP approach considering geo-environmental and topo-hydrological criteria
H Alilou, O Rahmati, VP Singh, B Choubin, B Pradhan, S Keesstra, ...
Journal of environmental management 232, 22-36, 2019
Watershed classification by remote sensing indices: A fuzzy c-means clustering approach
B Choubin, K Solaimani, MH Roshan, A Malekian
Journal of Mountain Science 14 (10), 2053-2063, 2017
Application of fuzzy analytical network process model for analyzing the gully erosion susceptibility
B Choubin, O Rahmati, N Tahmasebipour, B Feizizadeh, ...
Natural hazards gis-based spatial modeling using data mining techniques, 105-125, 2019
Earth fissure hazard prediction using machine learning models
B Choubin, A Mosavi, EH Alamdarloo, FS Hosseini, S Shamshirband, ...
Environmental Research, 108770, 2019
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