Application and comparison of different ensemble learning machines combining with a novel sampling strategy for shallow landslide susceptibility mapping

Landslide susceptibility assessment based on an incomplete landslide inventory in the Jilong Valley, Tibet, Chinese Himalayas

(2020) Juan Du et al.   ENGINEERING GEOLOGY

GIS-Based Ensemble Soft Computing Models for Landslide Susceptibility Mapping

(2020) Binh Thai Pham et al.   ADVANCES IN SPACE RESEARCH

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

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

A comparison of statistical and machine learning methods for debris flow susceptibility mapping

(2020) Zhu Liang et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

Improved landslide assessment using support vector machine with bagging, boosting, and stacking ensemble machine learning framework in a mountainous watershed, Japan

(2019) Jie Dou et al.   Landslides

Landslide susceptibility mapping using J48 Decision Tree with AdaBoost, Bagging and Rotation Forest ensembles in the Guangchang area (China)

(2018) Haoyuan Hong et al.   CATENA

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

(2018) Hamid Reza Pourghasemi et al.   CATENA

A review of statistically-based landslide susceptibility models

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

Susceptibility assessment of landslides triggered by earthquakes in the Western Sichuan Plateau

(2018) Juan Cao et al.   CATENA

A comparison of statistical and deterministic methods for shallow landslide susceptibility zoning in clayey soils

(2017) Mariantonietta Ciurleo et al.   ENGINEERING GEOLOGY

Mapping landslide susceptibility using data-driven methods

(2017) J.L. Zêzere et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Susceptibility zoning of shallow landslides in fine grained soils by statistical methods

(2016) Mariantonietta Ciurleo et al.   CATENA

Landslide distribution and size in response to Quaternary fault activity: the Peloritani Range, NE Sicily, Italy

(2016) Francesco Bucci et al.   EARTH SURFACE PROCESSES AND LANDFORMS

GIS-based modeling of rainfall-induced landslides using data mining-based functional trees classifier with AdaBoost, Bagging, and MultiBoost ensemble frameworks

(2016) Dieu Tien Bui et al.   Environmental Earth Sciences

Landslides, threshold slopes, and the survival of relict terrain in the wake of the Mendocino Triple Junction

(2016) Georgina L. Bennett et al.   GEOLOGY

Different landslide sampling strategies in a grid-based bi-variate statistical susceptibility model

(2016) Haydar Y. Hussin 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

Spatial prediction of landslide hazard at the Yihuang area (China) using two-class kernel logistic regression, alternating decision tree and support vector machines

(2015) Haoyuan Hong et al.   CATENA

Evaluating machine learning and statistical prediction techniques for landslide susceptibility modeling

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

Is the present the key to the future?

(2015) Stefano Furlani et al.   EARTH-SCIENCE REVIEWS

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

Landslide susceptibility mapping using ensemble bivariate and multivariate statistical models in Fayfa area, Saudi Arabia

(2014) Ahmed M. Youssef et al.   Environmental Earth Sciences

Debris-flow susceptibility assessment at regional scale: Validation on an alpine environment

(2014) Francesco Bregoli et al.   Landslides

Extreme learning machine for the displacement prediction of landslide under rainfall and reservoir level

(2014) Cheng Lian et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

Landslide susceptibility assessment using object mapping units, decision tree, and support vector machine models in the Three Gorges of China

(2013) Xueling Wu et al.   Environmental Earth Sciences

Landslide susceptibility assessment in the Hoa Binh province of Vietnam: A comparison of the Levenberg–Marquardt and Bayesian regularized neural networks

(2012) Dieu Tien Bui et al.   GEOMORPHOLOGY

GIS-based ordered weighted averaging and Dempster–Shafer methods for landslide susceptibility mapping in the Urmia Lake Basin, Iran

(2012) Bakhtiar Feizizadeh et al.   International Journal of Digital Earth

Assessment of M5′ model tree and classification and regression trees for prediction of scour depth below free overfall spillways

(2012) Mehrshad Samadi et al.   NEURAL COMPUTING & APPLICATIONS

Letter to the Editor: Stability of Random Forest importance measures

(2010) M. L. Calle et al.   BRIEFINGS IN BIOINFORMATICS

Landslide susceptibility mapping of a catchment area using frequency ratio, fuzzy logic and multivariate logistic regression approaches

(2010) B. Pradhan   Journal of the Indian Society of Remote Sensing

Data clustering: 50 years beyond K-means

(2009) Anil K. Jain   PATTERN RECOGNITION LETTERS

An assessment on the use of logistic regression and artificial neural networks with different sampling strategies for the preparation of landslide susceptibility maps

(2008) H.A. Nefeslioglu et al.   ENGINEERING GEOLOGY

Spatial data for landslide susceptibility, hazard, and vulnerability assessment: An overview

(2008) Cees J. van Westen et al.   ENGINEERING GEOLOGY

Geomorphology and landslide susceptibility assessment using GIS and bivariate statistics: a case study in southern Italy

(2008) Paolo Magliulo et al.   NATURAL HAZARDS