Bahram Choubin

发表

Urban Growth Modeling and Prediction using Logistic Regression and Markov Chain in Sari

Hamid Darabi, Abdollah Pirnia, Bahram Choubin, 2018 .

Groundwater Salinity Susceptibility Mapping Using Classifier Ensemble and Bayesian Machine Learning Models

Bahram Choubin, Amirhosein Mosavi, Farzaneh Sajedi Hosseini, 2020, IEEE Access.

Towards an Ensemble Machine Learning Model of Random Subspace Based Functional Tree Classifier for Snow Avalanche Susceptibility Mapping

Himan Shahabi, Ataollah Shirzadi, Bahram Choubin, 2020, IEEE Access.

Evaluation of watershed health using Fuzzy-ANP approach considering geo-environmental and topo-hydrological criteria.

Saskia Keesstra, Biswajeet Pradhan, Bahram Choubin, 2019, Journal of environmental management.

Integrated machine learning methods with resampling algorithms for flood susceptibility prediction.

Amir Mosavi, Narjes Nabipour, Shahaboddin Shamshirband, 2019, The Science of the total environment.

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

Bahram Choubin, Massoud Goodarzi, Amirhosein Mosavi, 2020, Water Resources Management.

Newly explored machine learning model for river flow time series forecasting at Mary River, Australia

Sinan Q. Salih, Zaher Mundher Yaseen, Fang Cui, 2020, Environmental Monitoring and Assessment.

Incorporating multi-criteria decision-making and fuzzy-value functions for flood susceptibility assessment

Jan Adamowski, Bahram Choubin, Shahaboddin Shamshirband, 2019, Geocarto International.

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

Amir Mosavi, Narjes Nabipour, Shahaboddin Shamshirband, 2019, The Science of the total environment.

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

Hamid Darabi, Bahram Choubin, Omid Rahmati, 2018, The Science of the total environment.

Towards a Flood Vulnerability Assessment of Watershed Using Integration of Decision Making Trial and Evaluation Laboratory, Analytical Network Process, and Fuzzy Theories

Bahram Choubin, Farzaneh Sajedi Hosseini, Ali Salajegheh, 2021 .

Applying the remotely sensed data to identify homogeneous regions of watersheds using a pixel-based classification approach

Vijay P. Singh, Shahaboddin Shamshirband, Bahram Choubin, 2019, Applied Geography.

Drought modeling: a comparative study between time series and neuro-fuzzy approaches

Bahram Choubin, Elham Rafiei-Sardooi, Ali Azareh, 2018, Arabian Journal of Geosciences.

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

Frederic Coulon, Himan Shahabi, Baharin Bin Ahmad, 2019, The Science of the total environment.

Combined gamma and M-test-based ANN and ARIMA models for groundwater fluctuation forecasting in semiarid regions

Bahram Choubin, Arash Malekian, B. Choubin, 2017, Environmental Earth Sciences.

Drought forecasting in a semi-arid watershed using climate signals: a neuro-fuzzy modeling approach

Bahram Choubin, Arash Malekian, Sajjad Ahmad, 2014, Journal of Mountain Science.

Spatial prediction of soil erosion susceptibility using a fuzzy analytical network process: Application of the fuzzy decision making trial and evaluation laboratory approach

Bahram Choubin, Karim Solaimani, Ataollah Kavian, 2018, Land Degradation & Development.

Application of Fuzzy Analytical Network Process Model for Analyzing the Gully Erosion Susceptibility

Hamid Reza Pourghasemi, Bakhtiar Feizizadeh, Bahram Choubin, 2018, Advances in Natural and Technological Hazards Research.

Regional Groundwater Potential Analysis Using Classification and Regression Trees

Bahram Choubin, Omid Rahmati, Hossein Alilou, 2019, Spatial Modeling in GIS and R for Earth and Environmental Sciences.

Incorporating synoptic-scale climate signals for streamflow modelling over the Mediterranean region using machine learning models

Zaher Mundher Yaseen, Ozgur Kisi, Ravinesh C. Deo, 2019, Hydrological Sciences Journal.

Multiple linear regression, multi-layer perceptron network and adaptive neuro-fuzzy inference system for forecasting precipitation based on large-scale climate signals

Bahram Choubin, Arash Malekian, Özgür Kişi, 2016 .

An ensemble forecast of semi‐arid rainfall using large‐scale climate predictors

Bahram Choubin, Arash Malekian, B. Choubin, 2017 .

Application of several data-driven techniques to predict a standardized precipitation index

Bahram Choubin, Arash Malekian, Mohammad Golshan, 2016 .

Effects of drought on vegetative cover changes: Investigating spatiotemporal patterns

Vijay P. Singh, Himan Shahabi, Abdollah Pirnia, 2019, Extreme Hydrology and Climate Variability.