Groundwater potential mapping using a novel data-mining ensemble model

A novel hybrid intelligent model of support vector machines and the MultiBoost ensemble for landslide susceptibility modeling

(2018) Binh Thai Pham et al.   Bulletin of Engineering Geology and the Environment

Groundwater potential mapping using C5.0, random forest, and multivariate adaptive regression spline models in GIS

(2018) Ali Golkarian et al.   ENVIRONMENTAL MONITORING AND ASSESSMENT

A comparative assessment of GIS-based data mining models and a novel ensemble model in groundwater well potential mapping

(2017) Seyed Amir Naghibi et al.   JOURNAL OF HYDROLOGY

A comparison between ten advanced and soft computing models for groundwater qanat potential assessment in Iran using R and GIS

(2017) Seyed Amir Naghibi et al.   THEORETICAL AND APPLIED CLIMATOLOGY

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

(2017) Seyed Amir Naghibi et al.   WATER RESOURCES MANAGEMENT

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)

(2017) Bahareh Kalantar et al.   Geomatics Natural Hazards & Risk

Assessment and comparison of combined bivariate and AHP models with logistic regression for landslide susceptibility mapping in the Chaharmahal-e-Bakhtiari Province, Iran

(2016) Ebrahim Karimi Sangchini et al.   Arabian Journal of Geosciences

Application of GIS-based data driven random forest and maximum entropy models for groundwater potential mapping: A case study at Mehran Region, Iran

(2016) Omid Rahmati et al.   CATENA

Random forests and evidential belief function-based landslide susceptibility assessment in Western Mazandaran Province, Iran

(2016) Hamid Reza Pourghasemi et al.   Environmental Earth Sciences

GIS-based multivariate adaptive regression spline and random forest models for groundwater potential mapping in Iran

(2016) Mohsen Zabihi et al.   Environmental Earth Sciences

Evaluation of four supervised learning methods for groundwater spring potential mapping in Khalkhal region (Iran) using GIS-based features

(2016) Seyed Amir Naghibi et al.   HYDROGEOLOGY JOURNAL

Application of Dempster–Shafer theory, spatial analysis and remote sensing for groundwater potentiality and nitrate pollution analysis in the semi-arid region of Khuzestan, Iran

(2016) Omid Rahmati et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Spatial analysis of groundwater potential using weights-of-evidence and evidential belief function models and remote sensing

(2015) Naser Tahmassebipoor et al.   Arabian Journal of Geosciences

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

(2015) Seyed Amir Naghibi et al.   ENVIRONMENTAL MONITORING AND ASSESSMENT

Landslide susceptibility mapping using random forest, boosted regression tree, classification and regression tree, and general linear models and comparison of their performance at Wadi Tayyah Basin, Asir Region, Saudi Arabia

(2015) Ahmed Mohamed Youssef et al.   Landslides

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

(2015) Seyed Amir Naghibi et al.   WATER RESOURCES MANAGEMENT

Application of analytical hierarchy process, frequency ratio, and certainty factor models for groundwater potential mapping using GIS

(2015) Yousef Razandi et al.   Earth Science Informatics

Assessment of a spatial multi-criteria evaluation to site selection underground dams in the Alborz Province, Iran

(2015) Javad Chezgi et al.   Geocarto International

Earthquake induced landslide susceptibility mapping using an integrated ensemble frequency ratio and logistic regression models in West Sumatera Province, Indonesia

(2014) Zahrul Umar et al.   CATENA

GIS-based groundwater spring potential assessment and mapping in the Birjand Township, southern Khorasan Province, Iran

(2014) Zohre Sadat Pourtaghi et al.   HYDROGEOLOGY JOURNAL

Application of GIS based data driven evidential belief function model to predict groundwater potential zonation

(2014) Haleh Nampak et al.   JOURNAL OF HYDROLOGY

Flood susceptibility mapping using a novel ensemble weights-of-evidence and support vector machine models in GIS

(2014) Mahyat Shafapour Tehrany et al.   JOURNAL OF HYDROLOGY

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

(2014) Seyed Amir Naghibi et al.   Earth Science Informatics

Assessment of a data-driven evidential belief function model and GIS for groundwater potential mapping in the Koohrang Watershed, Iran

(2014) Hamid Reza Pourghasemi et al.   Geocarto International

Spatial prediction of flood susceptible areas using rule based decision tree (DT) and a novel ensemble bivariate and multivariate statistical models in GIS

(2013) Mahyat Shafapour Tehrany et al.   JOURNAL OF HYDROLOGY

A novel hybrid evidential belief function-based fuzzy logic model in spatial prediction of rainfall-induced shallow landslides in the Lang Son city area (Vietnam)

(2013) Dieu Tien Bui et al.   Geomatics Natural Hazards & Risk

Ensemble-based landslide susceptibility maps in Jinbu area, Korea

(2012) Moung-Jin Lee et al.   Environmental Earth Sciences

GIS-based groundwater spring potential mapping in the Sultan Mountains (Konya, Turkey) using frequency ratio, weights of evidence and logistic regression methods and their comparison

(2011) Adnan Ozdemir   JOURNAL OF HYDROLOGY

Using a binary logistic regression method and GIS for evaluating and mapping the groundwater spring potential in the Sultan Mountains (Aksehir, Turkey)

(2011) Adnan Ozdemir   JOURNAL OF HYDROLOGY

GIS mapping of regional probabilistic groundwater potential in the area of Pohang City, Korea

(2010) Hyun-Joo Oh et al.   JOURNAL OF HYDROLOGY

Weight of evidence and artificial neural networks for potential groundwater spring mapping: an application to the Mt. Modino area (Northern Apennines, Italy)

(2009) Alessandro Corsini et al.   GEOMORPHOLOGY

A working guide to boosted regression trees

(2008) J. Elith et al.   JOURNAL OF ANIMAL ECOLOGY