Seismic Vulnerability Assessment and Mapping of Gyeongju, South Korea Using Frequency Ratio, Decision Tree, and Random Forest

Earthquake Vulnerability Mapping Using Different Hybrid Models

(2020) Peyman Yariyan et al.   Symmetry-Basel

Groundwater Spring Potential Mapping Using Artificial Intelligence Approach Based on Kernel Logistic Regression, Random Forest, and Alternating Decision Tree Models

(2020) Wei Chen et al.   Applied Sciences-Basel

Evaluating the usage of tree-based ensemble methods in groundwater spring potential mapping

(2020) Wei Chen et al.   JOURNAL OF HYDROLOGY

Shallow Landslide Susceptibility Mapping by Random Forest Base Classifier and Its Ensembles in a Semi-Arid Region of Iran

(2020) Viet-Ha Nhu et al.   Forests

Shallow Landslide Susceptibility Mapping: A Comparison between Logistic Model Tree, Logistic Regression, Naïve Bayes Tree, Artificial Neural Network, and Support Vector Machine Algorithms

(2020) Viet-Ha Nhu et al.   International Journal of Environmental Research and Public Health

Mapping of Groundwater Spring Potential in Karst Aquifer System Using Novel Ensemble Bivariate and Multivariate Models

(2020) Viet-Ha Nhu et al.   Water

GIS-Based Gully Erosion Susceptibility Mapping: A Comparison of Computational Ensemble Data Mining Models

(2020) Viet-Ha Nhu et al.   Applied Sciences-Basel

Optimizing the Predictive Ability of Machine Learning Methods for Landslide Susceptibility Mapping Using SMOTE for Lishui City in Zhejiang Province, China

(2019) Yumiao Wang et al.   International Journal of Environmental Research and Public Health

Seismic vulnerability assessment at urban scale using data mining and GIScience technology: application to Urumqi (China)

(2019) Yaohui Liu et al.   Geomatics Natural Hazards & Risk

Assessing the performance of GIS- based machine learning models with different accuracy measures for determining susceptibility to gully erosion

(2019) Younes Garosi et al.   SCIENCE OF THE TOTAL ENVIRONMENT

A Novel Ensemble Artificial Intelligence Approach for Gully Erosion Mapping in a Semi-Arid Watershed (Iran)

(2019) Dieu Tien Bui et al.   SENSORS

Assessing Land Use - Land Cover Change and Soil Erosion Potential using a Combined Approach through Remote Sensing, RUSLE, and Random Forest Algorithm

(2019) Siddhartho Shekhar Paul et al.   Geocarto International

Landslide Susceptibility Mapping Based on Random Forest and Boosted Regression Tree Models, and a Comparison of Their Performance

(2019) Soyoung Park et al.   Applied Sciences-Basel

A Hybrid Computational Intelligence Approach to Groundwater Spring Potential Mapping

(2019) Dieu Tien Bui et al.   Water

SEVUCAS: A Novel GIS-Based Machine Learning Software for Seismic Vulnerability Assessment

(2019) Saro Lee et al.   Applied Sciences-Basel

A Comparative Assessment of Random Forest and k-Nearest Neighbor Classifiers for Gully Erosion Susceptibility Mapping

(2019) Avand et al.   Water

Performance Evaluation of the GIS-Based Data-Mining Techniques Decision Tree, Random Forest, and Rotation Forest for Landslide Susceptibility Modeling

(2019) Soyoung Park et al.   Sustainability

A novel GIS-based ensemble technique for flood susceptibility mapping using evidential belief function and support vector machine: Brisbane, Australia

(2019) Mahyat Shafapour Tehrany et al.   PeerJ

Modeling flood susceptibility using data-driven approaches of naïve Bayes tree, alternating decision tree, and random forest methods

(2019) Wei Chen et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Performance of Logistic Regression and Support Vector Machines for Seismic Vulnerability Assessment and Mapping: A Case Study of the 12 September 2016 ML5.8 Gyeongju Earthquake, South Korea

(2019) Jihye Han et al.   Sustainability

Mapping flood susceptibility in an arid region of southern Iraq using ensemble machine learning classifiers: a comparative study

(2018) Alaa M. Al-Abadi   Arabian Journal of Geosciences

Integration of GIS, AHP and TOPSIS for earthquake hazard analysis

(2018) Penjani Hopkins Nyimbili et al.   NATURAL HAZARDS

An Analysis of Housing Structures’ Earthquake Vulnerability in Two Parts of Dhaka City

(2018) et al.   Sustainability

Mapping Groundwater Potential Using a Novel Hybrid Intelligence Approach

(2018) Shaghayegh Miraki et al.   WATER RESOURCES MANAGEMENT

Social Vulnerability Assessment Using Artificial Neural Network (ANN) Model for Earthquake Hazard in Tabriz City, Iran

(2018) Mohsen Alizadeh et al.   Sustainability

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

(2018) Bahram Choubin et al.   SCIENCE OF THE TOTAL ENVIRONMENT

A GIS-based decision making model using fuzzy sets and theory of evidence for seismic vulnerability assessment under uncertainty (case study: Tabriz)

(2017) Mansoureh Sadrykia et al.   JOURNAL OF INTELLIGENT & FUZZY SYSTEMS

Seismic vulnerability assessment using association rule learning: application to the city of Constantine, Algeria

(2017) Abdelheq Guettiche et al.   NATURAL HAZARDS

Performance assessment of individual and ensemble data-mining techniques for gully erosion modeling

(2017) Hamid Reza Pourghasemi et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Landslide susceptibility mapping using random forest and boosted tree models in Pyeong-Chang, Korea

(2017) Jeong-Cheol Kim et al.   Geocarto International

An Ensemble Model for Co-Seismic Landslide Susceptibility Using GIS and Random Forest Method

(2017) Suchita Shrestha et al.   ISPRS International Journal of Geo-Information

The 12 September 2016 Gyeongju earthquakes: 2. Temporary seismic network for monitoring aftershocks

(2016) Kwang-Hee Kim et al.   GEOSCIENCES JOURNAL

The 12 September 2016 Gyeongju earthquakes: 1. Observation and remaining questions

(2016) YoungHee Kim et al.   GEOSCIENCES JOURNAL

Flash flood susceptibility assessment in Jeddah city (Kingdom of Saudi Arabia) using bivariate and multivariate statistical models

(2015) Ahmed M. Youssef et al.   Environmental Earth Sciences

A comparative study of landslide susceptibility maps using logistic regression, frequency ratio, decision tree, weights of evidence and artificial neural network

(2015) Liang-Jie Wang et al.   GEOSCIENCES JOURNAL

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

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 multi-criteria evaluation model of earthquake vulnerability in Victoria, British Columbia

(2014) Blake Byron Walker et al.   NATURAL HAZARDS

Seismic vulnerability assessment of urban environments in moderate-to-low seismic hazard regions using association rule learning and support vector machine methods

(2014) Ismaël Riedel et al.   NATURAL HAZARDS

An assessment of multivariate and bivariate approaches in landslide susceptibility mapping: a case study of Duzkoy district

(2014) Taskin Kavzoglu et al.   NATURAL HAZARDS

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

Multi-criteria vulnerability analysis to earthquake hazard of Bucharest, Romania

(2012) Iuliana Armaş   NATURAL HAZARDS

A GIS-based comparative study of frequency ratio, analytical hierarchy process, bivariate statistics and logistics regression methods for landslide susceptibility mapping in Trabzon, NE Turkey

(2011) A. Yalcin et al.   CATENA

Active and passive remote sensing for supporting the evaluation of the urban seismic vulnerability

(2011) Flavio Borfecchia et al.   RIVISTA ITALIANA DI TELERILEVAMENTO

Comparison of landslide susceptibility based on a decision-tree model and actual landslide occurrence: The Akaishi Mountains, Japan

(2009) Hitoshi Saito et al.   GEOMORPHOLOGY

Evaluation of parameters affecting earthquake damage by decision tree techniques

(2008) Betül Şengezer et al.   NATURAL HAZARDS