An ensemble prediction of flood susceptibility using multivariate discriminant analysis, classification and regression trees, and support vector machines

Bahram Choubin, Ehsan Moradi, Mohammad Golshan, +3

The Science of The Total Environment

Flash FloodHydrological DisasterEngineeringData ScienceEnsemble Prediction +10

Urban flood risk mapping using the GARP and QUEST models: A comparative study of machine learning techniques

Hamid Darabi, Bahram Choubin, Omid Rahmati, +3

Journal of Hydrology

Hydrological DisasterEngineeringData ScienceMachine Learning TechniquesPredictive Analytics +9

A novel machine learning-based approach for the risk assessment of nitrate groundwater contamination

Farzaneh Sajedi Hosseini, Arash Malekian, Bahram Choubin, +4

The Science of The Total Environment

Risk AssessmentHydrogeologyGroundwater QualityEnvironmental MonitoringEngineering +9

Flash-flood hazard assessment using ensembles and Bayesian-based machine learning models: Application of the simulated annealing feature selection method

Farzaneh Sajedi Hosseini, Bahram Choubin, Amir Mosavi, +4

The Science of The Total Environment

Flash FloodEngineeringData MiningPredictive AnalyticsCivil Engineering +8

River suspended sediment modelling using the CART model: A comparative study of machine learning techniques

Bahram Choubin, Hamid Darabi, Omid Rahmati, +2

The Science of The Total Environment

EngineeringMachine LearningWater ResourcesData ScienceMachine Learning Techniques +9

Evaluating urban flood risk using hybrid method of TOPSIS and machine learning

Elham Rafiei-Sardooi, Ali Azareh, Bahram Choubin, +2

International Journal of Disaster Risk Reduction

EngineeringMachine LearningFlood ControlHydrologic HazardDisaster Detection +18

Integrated machine learning methods with resampling algorithms for flood susceptibility prediction

Esmaeel Dodangeh, Bahram Choubin, Ahmad Najafi Eigdir, +4

The Science of The Total Environment

Flash FloodEngineeringMachine LearningData SciencePredictive Analytics +7

Ensemble Boosting and Bagging Based Machine Learning Models for Groundwater Potential Prediction

Amirhosein Mosavi, Farzaneh Sajedi Hosseini, Bahram Choubin, +3

Water Resources Management

Ensemble BoostingEngineeringMachine LearningData ScienceMultiple Classifier System +7

Predicting uncertainty of machine learning models for modelling nitrate pollution of groundwater using quantile regression and UNEEC methods

Omid Rahmati, Bahram Choubin, Abolhasan Fathabadi, +8

The Science of The Total Environment

Groundwater QualityEnvironmental MonitoringEngineeringUncertainty ModelingUncertainty Quantification +7

Snow avalanche hazard prediction using machine learning methods

Bahram Choubin, Moslem Borji, Amir Mosavi, +3

Journal of Hydrology

EngineeringMachine LearningData ScienceMachine Learning MethodsPattern Recognition +5