Landslide Susceptibility Modeling: An Integrated Novel Method Based on Machine Learning Feature Transformation

Decision Tree based ensemble machine learning approaches for landslide susceptibility mapping

(2021) Alireza Arabameri et al.   Geocarto International

Rainfall-Induced Shallow Landslide Detachment, Transit and Runout Susceptibility Mapping by Integrating Machine Learning Techniques and GIS-Based Approaches

(2021) Mariano Di Napoli et al.   Water

Slow-moving landslide risk assessment combining Machine Learning and InSAR techniques

(2021) A. Novellino et al.   CATENA

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

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

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

A machine learning framework for multi-hazards modeling and mapping in a mountainous area

(2020) Saleh Yousefi et al.   Scientific Reports

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

Systematic sample subdividing strategy for training landslide susceptibility models

(2019) Maher Ibrahim Sameen et al.   CATENA

Debris Flow Susceptibility Mapping Using Machine-Learning Techniques in Shigatse Area, China

(2019) Yonghong Zhang et al.   Remote Sensing

Integrated approach for determining spatio-temporal variations in the hydrodynamic factors as a contributing parameter in landslide susceptibility assessments

(2018) Mustafa Can Canoglu et al.   Bulletin of Engineering Geology and the Environment

Review on landslide susceptibility mapping using support vector machines

(2018) Yu Huang 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

Optimizing landslide susceptibility zonation: Effects of DEM spatial resolution and slope unit delineation on logistic regression models

(2018) R. Schlögel et al.   GEOMORPHOLOGY

Comparing fully convolutional networks, random forest, support vector machine, and patch-based deep convolutional neural networks for object-based wetland mapping using images from small unmanned aircraft system

(2018) Tao Liu et al.   GIScience & Remote Sensing

Implementing landslide path dependency in landslide susceptibility modelling

(2018) Jalal Samia et al.   Landslides

Improving Landslide Detection from Airborne Laser Scanning Data Using Optimized Dempster–Shafer

(2018) Mustafa Mezaal et al.   Remote Sensing

Learning from class-imbalanced data: Review of methods and applications

(2017) Guo Haixiang et al.   EXPERT SYSTEMS WITH APPLICATIONS

Less is more: optimizing classification performance through feature selection in a very-high-resolution remote sensing object-based urban application

(2017) Stefanos Georganos et al.   GIScience & Remote Sensing

Assessing the suitability of data from Sentinel-1A and 2A for crop classification

(2017) Rei Sonobe et al.   GIScience & Remote Sensing

Automatic mapping of event landslides at basin scale in Taiwan using a Montecarlo approach and synthetic land cover fingerprints

(2017) Alessandro C. Mondini et al.   International Journal of Applied Earth Observation and Geoinformation

Assessment of the effects of training data selection on the landslide susceptibility mapping: a comparison between support vector machine (SVM), logistic regression (LR) and artificial neural networks (ANN)

(2017) Bahareh Kalantar et al.   Geomatics Natural Hazards & Risk

Optimized Neural Architecture for Automatic Landslide Detection from High‐Resolution Airborne Laser Scanning Data

(2017) Mustafa Ridha Mezaal et al.   Applied Sciences-Basel

Comparison of a logistic regression and Naïve Bayes classifier in landslide susceptibility assessments: The influence of models complexity and training dataset size

(2016) Paraskevas Tsangaratos et al.   CATENA

Effect of raster resolution and polygon-conversion algorithm on landslide susceptibility mapping

(2016) E. Arnone et al.   ENVIRONMENTAL MODELLING & SOFTWARE

Exploring the effect of absence selection on landslide susceptibility models: A case study in Sicily, Italy

(2016) Christian Conoscenti et al.   GEOMORPHOLOGY

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

(2016) Haydar Y. Hussin et al.   GEOMORPHOLOGY

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

Optimization of landslide conditioning factors using very high-resolution airborne laser scanning (LiDAR) data at catchment scale

(2014) Mustafa Neamah Jebur et al.   REMOTE SENSING OF ENVIRONMENT

Representation Learning: A Review and New Perspectives

(2013) Y. Bengio et al.   IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE

Machine Learning Feature Selection Methods for Landslide Susceptibility Mapping

(2013) Natan Micheletti et al.   Mathematical 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

On the effectiveness of preprocessing methods when dealing with different levels of class imbalance

(2011) V. García et al.   KNOWLEDGE-BASED SYSTEMS

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

Regional landslide susceptibility analysis using back-propagation neural network model at Cameron Highland, Malaysia

(2009) Biswajeet Pradhan et al.   Landslides