Random Forest-Based Landslide Susceptibility Mapping in Coastal Regions of Artvin, Turkey

Optimizing the frequency ratio method for landslide susceptibility assessment: A case study of the Caiyuan Basin in the southeast mountainous area of China

(2020) Yi-xing Zhang et al.   Journal of Mountain Science

Different sampling strategies for predicting landslide susceptibilities are deemed less consequential with deep learning

(2020) Jie Dou et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Spatial Prediction of Landslide Susceptibility Based on GIS and Discriminant Functions

(2020) Guirong Wang et al.   ISPRS International Journal of Geo-Information

Use of Mamdani Fuzzy Algorithm for Multi-Hazard Susceptibility Assessment in a Developing Urban Settlement (Mamak, Ankara, Turkey)

(2020) Tugce Yanar et al.   ISPRS International Journal of Geo-Information

Comparing the prediction performance of a Deep Learning Neural Network model with conventional machine learning models in landslide susceptibility assessment

(2020) Dieu Tien Bui et al.   CATENA

Comparative study of landslide susceptibility mapping with different recurrent neural networks

(2020) Yi Wang et al.   COMPUTERS & GEOSCIENCES

Mapping landslide susceptibility at the Three Gorges Reservoir, China, using gradient boosting decision tree, random forest and information value models

(2020) Tao Chen et al.   Journal of Mountain Science

Assessing potential likelihood and impacts of landslides on transportation network vulnerability

(2020) Qian Zhang et al.   TRANSPORTATION RESEARCH PART D-TRANSPORT AND ENVIRONMENT

Integration of convolutional neural network and conventional machine learning classifiers for landslide susceptibility mapping

(2020) Zhice Fang et al.   COMPUTERS & GEOSCIENCES

Machine learning methods for landslide susceptibility studies: A comparative overview of algorithm performance

(2020) Abdelaziz Merghadi et al.   EARTH-SCIENCE REVIEWS

A random forest model of landslide susceptibility mapping based on hyperparameter optimization using Bayes algorithm

(2020) Deliang Sun et al.   GEOMORPHOLOGY

The influence of the inventory on the determination of the rainfall-induced shallow landslides susceptibility using generalized additive models

(2020) Massimiliano Bordoni et al.   CATENA

Landslide susceptibility mapping using multiscale sampling strategy and convolutional neural network: A case study in Jiuzhaigou region

(2020) Yaning Yi et al.   CATENA

Assessment of advanced random forest and decision tree algorithms for modeling rainfall-induced landslide susceptibility in the Izu-Oshima Volcanic Island, Japan

(2019) Jie Dou et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Predictive modeling of landslide hazards in Wen County, northwestern China based on information value, weights-of-evidence, and certainty factor

(2019) Qiqing Wang et al.   Geomatics Natural Hazards & Risk

Optimization of causative factors using logistic regression and artificial neural network models for landslide susceptibility assessment in Ujung Loe Watershed, South Sulawesi Indonesia

(2019) Andang Suryana Soma et al.   Journal of Mountain Science

Exploring the effects of the design and quantity of absence data on the performance of random forest-based landslide susceptibility mapping

(2019) Haoyuan Hong et al.   CATENA

GIS-based logistic regression for rainfall-induced landslide susceptibility mapping under different grid sizes in Yueqing, Southeastern China

(2019) Yu Zhao et al.   ENGINEERING GEOLOGY

Landslide spatial modelling using novel bivariate statistical based Naïve Bayes, RBF Classifier, and RBF Network machine learning algorithms

(2019) Qingfeng He et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Comparison of convolutional neural networks for landslide susceptibility mapping in Yanshan County, China

(2019) Yi Wang et al.   SCIENCE OF THE TOTAL ENVIRONMENT

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

Landslide Susceptibility Mapping Using Different GIS-Based Bivariate Models

(2019) Nohani et al.   Water

A Novel Performance Assessment Approach using Photogrammetric Techniques for Landslide Susceptibility Mapping with Logistic Regression, ANN and Random Forest

(2019) Sevgen et al.   SENSORS

Analyzing the effects of tectonic and lithology on the occurrence of landslide along Zagros ophiolitic suture: a case study of Sarv-Abad, Kurdistan, Iran

(2019) Shahram Bahrami et al.   Bulletin of Engineering Geology and the Environment

Landslide Susceptibility Mapping Using GIS-Based Data Mining Algorithms

(2019) Vali Vakhshoori et al.   Water

How do machine learning techniques help in increasing accuracy of landslide susceptibility maps?

(2019) Yacine Achour et al.   Geoscience Frontiers

Artificial neural network ensembles applied to the mapping of landslide susceptibility

(2019) L. Bragagnolo et al.   CATENA

Application of convolutional neural networks featuring Bayesian optimization for landslide susceptibility assessment

(2019) Maher Ibrahim Sameen et al.   CATENA

Evaluation of the extreme rainfall predictions and their impact on landslide susceptibility in a sub-catchment scale

(2019) Keh-Jian Shou et al.   ENGINEERING GEOLOGY

Machine learning and fractal theory models for landslide susceptibility mapping: Case study from the Jinsha River Basin

(2019) Qiao Hu et al.   GEOMORPHOLOGY

Application of alternating decision tree with AdaBoost and bagging ensembles for landslide susceptibility mapping

(2019) Yanli Wu et al.   CATENA

GIS-based landslide susceptibility evaluation using a novel hybrid integration approach of bivariate statistical based random forest method

(2018) Wei Chen et al.   CATENA

Review on landslide susceptibility mapping using support vector machines

(2018) Yu Huang et al.   CATENA

Prediction of the landslide susceptibility: Which algorithm, which precision?

(2018) Hamid Reza Pourghasemi et al.   CATENA

Landslide susceptibility modeling applying machine learning methods: A case study from Longju in the Three Gorges Reservoir area, China

(2018) Chao Zhou et al.   COMPUTERS & GEOSCIENCES

A review of statistically-based landslide susceptibility models

(2018) Paola Reichenbach et al.   EARTH-SCIENCE REVIEWS

Assessment of Landslide-Prone Areas and Their Zonation Using Logistic Regression, LogitBoost, and NaïveBayes Machine-Learning Algorithms

(2018) Hamid Pourghasemi et al.   Sustainability

Landslide susceptibility mapping & prediction using Support Vector Machine for Mandakini River Basin, Garhwal Himalaya, India

(2017) Deepak Kumar et al.   GEOMORPHOLOGY

Landslide susceptibility mapping using an integrated model of information value method and logistic regression in the Bailongjiang watershed, Gansu Province, China

(2017) Guo-liang Du et al.   Journal of Mountain Science

Innovative landslide susceptibility mapping supported by geomorphon and geographical detector methods

(2017) Wei Luo et al.   Landslides

A GIS-based comparative evaluation of analytical hierarchy process and frequency ratio models for landslide susceptibility mapping

(2017) Qiqing Wang et al.   PHYSICAL GEOGRAPHY

A comparative study for landslide susceptibility mapping using GIS-based multi-criteria decision analysis (MCDA), logistic regression (LR) and association rule mining (ARM)

(2016) Arzu Erener et al.   ENGINEERING GEOLOGY

A comparison of information value and logistic regression models in landslide susceptibility mapping by using GIS

(2016) Tao Chen et al.   Environmental Earth Sciences

GIS-based landslide susceptibility assessment: a case study in Kelemen Valley (Yenice—Karabuk, NW Turkey)

(2016) Ismail Kerem Tasoglu et al.   Environmental Earth Sciences

Landslide susceptibility assessment in Lianhua County (China): A comparison between a random forest data mining technique and bivariate and multivariate statistical models

(2016) Haoyuan Hong et al.   GEOMORPHOLOGY

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

Application of frequency ratio, weights of evidence and evidential belief function models in landslide susceptibility mapping

(2016) Qingfeng Ding et al.   Geocarto International

Rainfall-induced landslide susceptibility assessment at the Chongren area (China) using frequency ratio, certainty factor, and index of entropy

(2016) Haoyuan Hong et al.   Geocarto International

Landslide susceptibility mapping by comparing weight of evidence, fuzzy logic, and frequency ratio methods

(2016) V. Vakhshoori et al.   Geomatics Natural Hazards & Risk

Comparison of Logistic Regression and Random Forests techniques for shallow landslide susceptibility assessment in Giampilieri (NE Sicily, Italy)

(2015) Alessandro Trigila et al.   GEOMORPHOLOGY

Landslide susceptibility assessment of the Youfang catchment using logistic regression

(2015) Shi-biao Bai et al.   Journal of Mountain Science

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

Building Predictive Models inRUsing thecaretPackage

(2015) Max Kuhn   Journal of Statistical Software

Landslide susceptibility mapping based on GIS and information value model for the Chencang District of Baoji, China

(2014) Wei Chen et al.   Arabian Journal of Geosciences

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

Landslide susceptibility mapping at central Zab basin, Iran: A comparison between analytical hierarchy process, frequency ratio and logistic regression models

(2013) Himan Shahabi et al.   CATENA

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

(2013) Taskin Kavzoglu et al.   Landslides

Landslide susceptibility mapping using index of entropy and conditional probability models in GIS: Safarood Basin, Iran

(2012) Hamid Reza Pourghasemi et al.   CATENA

Application of an evidential belief function model in landslide susceptibility mapping

(2012) Omar F. Althuwaynee 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

A comparative study of frequency ratio, weights of evidence and logistic regression methods for landslide susceptibility mapping: Sultan Mountains, SW Turkey

(2012) Adnan Ozdemir et al.   JOURNAL OF ASIAN EARTH SCIENCES

A comparative assessment of prediction capabilities of Dempster–Shafer and Weights-of-evidence models in landslide susceptibility mapping using GIS

(2012) HamidReza Pourghasemi et al.   Geomatics Natural Hazards & Risk

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

Landslide susceptibility assessment and factor effect analysis: backpropagation artificial neural networks and their comparison with frequency ratio and bivariate logistic regression modelling

(2009) Biswajeet Pradhan et al.   ENVIRONMENTAL MODELLING & SOFTWARE

GIS-based logistic regression for landslide susceptibility mapping of the Zhongxian segment in the Three Gorges area, China

(2009) Shi-Biao Bai et al.   GEOMORPHOLOGY

Landslide susceptibility mapping using frequency ratio, logistic regression, artificial neural networks and their comparison: A case study from Kat landslides (Tokat—Turkey)

(2008) Işık Yilmaz   COMPUTERS & GEOSCIENCES