Groundwater Potential Mapping Using an Integrated Ensemble of Three Bivariate Statistical Models with Random Forest and Logistic Model Tree Models

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

GIS-based groundwater potential analysis using novel ensemble weights-of-evidence with logistic regression and functional tree models

(2018) Wei Chen et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Flood susceptibility mapping using novel ensembles of adaptive neuro fuzzy inference system and metaheuristic algorithms

(2018) Seyed Vahid Razavi Termeh et al.   SCIENCE OF THE TOTAL ENVIRONMENT

A novel ensemble approach of bivariate statistical-based logistic model tree classifier for landslide susceptibility assessment

(2018) Wei Chen et al.   Geocarto International

Groundwater potential mapping using a novel data-mining ensemble model

(2018) Mojtaba Dolat Kordestani et al.   HYDROGEOLOGY JOURNAL

Groundwater spring potential modelling: Comprising the capability and robustness of three different modeling approaches

(2018) Omid Rahmati et al.   JOURNAL OF HYDROLOGY

New Hybrids of ANFIS with Several Optimization Algorithms for Flood Susceptibility Modeling

(2018) Dieu Tien Bui et al.   Water

GIS-based groundwater potential mapping in Shahroud plain, Iran. A comparison among statistical (bivariate and multivariate), data mining and MCDM approaches

(2018) Alireza Arabameri et al.   SCIENCE OF THE TOTAL ENVIRONMENT

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

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

GIS-based groundwater potential mapping using artificial neural network and support vector machine models: the case of Boryeong city in Korea

(2017) Saro Lee et al.   Geocarto International

Soil erosion susceptibility mapping for current and 2100 climate conditions using evidential belief function and frequency ratio

(2017) Mahyat Shafapour Tehrany et al.   Geomatics Natural Hazards & Risk

Evaluation of Logistic Regression and Multivariate Adaptive Regression Spline Models for Groundwater Potential Mapping Using R and GIS

(2017) Soyoung Park et al.   Sustainability

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

Computational methods for pigmented skin lesion classification in images: review and future trends

(2016) Roberta B. Oliveira et al.   NEURAL COMPUTING & APPLICATIONS

Forecasting and validation of landslide susceptibility using an integration of frequency ratio and neuro-fuzzy models: a case study of Seorak mountain area in Korea

(2015) Moung-Jin Lee et al.   Environmental Earth Sciences

Predicting Nitrate Concentration and Its Spatial Distribution in Groundwater Resources Using Support Vector Machines (SVMs) Model

(2015) Raheleh Arabgol et al.   ENVIRONMENTAL MODELING & ASSESSMENT

Spatial prediction models for shallow landslide hazards: a comparative assessment of the efficacy of support vector machines, artificial neural networks, kernel logistic regression, and logistic model tree

(2015) Dieu Tien Bui et al.   Landslides

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

Groundwater potential mapping at Kurdistan region of Iran using analytic hierarchy process and GIS

(2014) Omid Rahmati et al.   Arabian Journal of Geosciences

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

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

Groundwater spring potential mapping using bivariate statistical model and GIS in the Taleghan Watershed, Iran

(2013) D. Davoodi Moghaddam et al.   Arabian Journal of Geosciences

GIS-based landslide susceptibility mapping with probabilistic likelihood ratio and spatial multi-criteria evaluation models (North of Tehran, Iran)

(2013) H. R. Pourghasemi et al.   Arabian Journal of Geosciences

Landslide susceptibility analysis using Probabilistic Certainty Factor Approach: A case study on Tevankarai stream watershed, India

(2013) Evangelin Ramani Sujatha et al.   Journal of Earth System Science

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

Application of probabilistic-based frequency ratio model in groundwater potential mapping using remote sensing data and GIS

(2012) Mohamad Abd Manap et al.   Arabian Journal of Geosciences

Application of data-driven evidential belief functions to landslide susceptibility mapping in Jinbu, Korea

(2012) S. Lee et al.   CATENA

A comparative study on the predictive ability of the decision tree, support vector machine and neuro-fuzzy models in landslide susceptibility mapping using GIS

(2012) Biswajeet Pradhan   COMPUTERS & GEOSCIENCES

How can statistical models help to determine driving factors of landslides?

(2012) Peter Vorpahl et al.   ECOLOGICAL MODELLING

Mapping of groundwater prospective zones using remote sensing and GIS techniques: A case study from the Central Eastern Desert, Egypt

(2012) Fathy Abdalla   JOURNAL OF AFRICAN EARTH SCIENCES

Landslide susceptibility mapping at Golestan Province, Iran: A comparison between frequency ratio, Dempster–Shafer, and weights-of-evidence models

(2012) Majid Mohammady et al.   JOURNAL OF ASIAN EARTH SCIENCES

Landslide susceptibility mapping using certainty factor, index of entropy and logistic regression models in GIS and their comparison at Mugling–Narayanghat road section in Nepal Himalaya

(2012) Krishna Chandra Devkota et al.   NATURAL HAZARDS

Uncertainty in the spatial prediction of soil texture

(2011) Mareike Ließ et al.   GEODERMA

Application of a weights-of-evidence method and GIS to regional groundwater productivity potential mapping

(2011) Saro Lee et al.   JOURNAL OF ENVIRONMENTAL MANAGEMENT

Identification of Mangrove Areas by Remote Sensing: The ROC Curve Technique Applied to the Northwestern Mexico Coastal Zone Using Landsat Imagery

(2011) Luis C. Alatorre et al.   Remote Sensing

Wetland vegetation distribution modelling for the identification of constraining environmental variables

(2008) J. Peters et al.   LANDSCAPE ECOLOGY

Machine Learning Methods Without Tears: A Primer for Ecologists

(2008) Julian D. Olden et al.   QUARTERLY REVIEW OF BIOLOGY