Seyed Amir Naghibi

GIS-based groundwater potential mapping using boosted regression tree, classification and regression tree, and random forest machine learning models in Iran

Seyed Amir Naghibi, Hamid Reza Pourghasemi, Barnali Dixon · Environmental Monitoring and Assessment · 2015 · 675 citations

Hydrogeology, Geospatial Mapping, Engineering +9

Assessment of the effects of training data selection on the landslide susceptibility mapping: a comparison between support vector machine (SVM), logistic regression (LR) and artificial neural networks (ANN)

Bahareh Kalantar, Biswajeet Pradhan, Seyed Amir Naghibi et al. · Geomatics Natural Hazards and Risk · 2017 · 531 citations · Full text

Rock Slide, Engineering, Rock Slope +16

Application of Support Vector Machine, Random Forest, and Genetic Algorithm Optimized Random Forest Models in Groundwater Potential Mapping

Seyed Amir Naghibi, Kourosh Ahmadi, Alireza Daneshi · Water Resources Management · 2017 · 494 citations

Hydrogeology, Support Vector Machine, Engineering +11

Groundwater qanat potential mapping using frequency ratio and Shannon’s entropy models in the Moghan watershed, Iran

Seyed Amir Naghibi, Hamid Reza Pourghasemi, Zohre Sadat Pourtaghi et al. · Earth Science Informatics · 2014 · 340 citations

Shannon ’, Environmental Monitoring, Potential Mapping +8

A Comparative Assessment Between Three Machine Learning Models and Their Performance Comparison by Bivariate and Multivariate Statistical Methods in Groundwater Potential Mapping

Seyed Amir Naghibi, Hamid Reza Pourghasemi · Water Resources Management · 2015 · 267 citations

Hydrogeology, Engineering, Hydrogeophysics +12