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

Landslide Susceptibility Modeling Using Integrated Ensemble Weights of Evidence with Logistic Regression and Random Forest Models

(2019) Wei Chen et al.   Applied Sciences-Basel

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

Multi-hazard probability assessment and mapping in Iran

(2019) Hamid Reza Pourghasemi et al.   SCIENCE OF THE TOTAL ENVIRONMENT

A comparative assessment of decision trees algorithms for flash flood susceptibility modeling at Haraz watershed, northern Iran

(2018) Khabat Khosravi et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Application of fuzzy weight of evidence and data mining techniques in construction of flood susceptibility map of Poyang County, China

(2018) Haoyuan Hong et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Assessment of Building Damage Risk by Natural Disasters in South Korea Using Decision Tree Analysis

(2018) KeumJi Kim et al.   Sustainability

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

(2018) et al.   Sustainability

Application of Ensemble-Based Machine Learning Models to Landslide Susceptibility Mapping

(2018) Prima Kadavi et al.   Remote Sensing

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

(2018) Mohsen Alizadeh et al.   Sustainability

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

(2017) Abdelheq Guettiche et al.   NATURAL HAZARDS

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

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

A Support Vector Machine for Landslide Susceptibility Mapping in Gangwon Province, Korea

(2017) Saro Lee et al.   Sustainability

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

First level seismic microzonation map of Al-Madinah province, western Saudi Arabia using the geographic information system approach

(2016) Sayed S. R. Moustafa et al.   Environmental Earth Sciences

Soft computing in assessment of earthquake-triggered landslide susceptibility

(2016) Chong Xu et al.   Environmental Earth Sciences

A comparative study of different machine learning methods for landslide susceptibility assessment: A case study of Uttarakhand area (India)

(2016) Binh Thai Pham et al.   ENVIRONMENTAL MODELLING & SOFTWARE

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

Susceptibility mapping of shallow landslides using kernel-based Gaussian process, support vector machines and logistic regression

(2016) Ismail Colkesen et al.   JOURNAL OF AFRICAN EARTH SCIENCES

A GIS-based flood susceptibility assessment and its mapping in Iran: a comparison between frequency ratio and weights-of-evidence bivariate statistical models with multi-criteria decision-making technique

(2016) Khabat Khosravi et al.   NATURAL HAZARDS

Machine learning in geosciences and remote sensing

(2016) David J. Lary et al.   Geoscience Frontiers

The social and physical vulnerability assessment of old texture against earthquake (case study: Fahadan district in Yazd City)

(2015) Saeed Fallah Aliabadi et al.   Arabian Journal of Geosciences

Flood susceptibility assessment using GIS-based support vector machine model with different kernel types

(2015) Mahyat Shafapour Tehrany et al.   CATENA

Evaluating machine learning and statistical prediction techniques for landslide susceptibility modeling

(2015) J.N. Goetz et al.   COMPUTERS & GEOSCIENCES

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

Flood susceptibility mapping using frequency ratio and weights-of-evidence models in the Golastan Province, Iran

(2015) Omid Rahmati et al.   Geocarto International

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

Application of frequency ratio, statistical index, and weights-of-evidence models and their comparison in landslide susceptibility mapping in Central Nepal Himalaya

(2013) Amar Deep Regmi et al.   Arabian Journal of Geosciences

Evaluation of prediction capability of the artificial neural networks for mapping landslide susceptibility in the Turbolo River catchment (northern Calabria, Italy)

(2013) Massimo Conforti et al.   CATENA

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

Landslide susceptibility mapping using GIS-based multi-criteria decision analysis, support vector machines, and logistic regression

(2013) Taskin Kavzoglu et al.   Landslides

Comparison of different models for susceptibility mapping of earthquake triggered landslides related with the 2008 Wenchuan earthquake in China

(2012) Chong Xu et al.   COMPUTERS & GEOSCIENCES

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

Landslide susceptibility mapping in Injae, Korea, using a decision tree

(2010) Young-Kwang Yeon et al.   ENGINEERING GEOLOGY

Comparison of landslide susceptibility mapping methodologies for Koyulhisar, Turkey: conditional probability, logistic regression, artificial neural networks, and support vector machine

(2009) Işık Yilmaz   Environmental Earth Sciences

Earthquake induced damage classification for reinforced concrete buildings

(2009) Solomon Tesfamariam et al.   STRUCTURAL SAFETY

Evaluation of parameters affecting earthquake damage by decision tree techniques

(2008) Betül Şengezer et al.   NATURAL HAZARDS