Application of Bayesian Hyperparameter Optimized Random Forest and XGBoost Model for Landslide Susceptibility Mapping

A Comprehensive Assessment of XGBoost Algorithm for Landslide Susceptibility Mapping in the Upper Basin of Ataturk Dam, Turkey

(2021) Recep Can et al.   Applied Sciences-Basel

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

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

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

A hybrid model considering spatial heterogeneity for landslide susceptibility mapping in Zhejiang Province, China

(2020) Yumiao Wang et al.   CATENA

Modeling landslide susceptibility using LogitBoost alternating decision trees and forest by penalizing attributes with the bagging ensemble

(2020) Haoyuan Hong et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Integration of Remotely Sensed Soil Sealing Data in Landslide Susceptibility Mapping

(2020) Tania Luti et al.   Remote Sensing

Landslide Susceptibility Mapping: Machine and Ensemble Learning Based on Remote Sensing Big Data

(2020) Bahareh Kalantar et al.   Remote Sensing

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

(2020) Deliang Sun et al.   GEOMORPHOLOGY

Study of the effects of clay content on loess slope failure mode and loess strength

(2020) Jianqi Zhuang et al.   Bulletin of Engineering Geology and the Environment

A comparative evaluation of supervised machine learning algorithms for township level landslide susceptibility zonation in parts of Indian Himalayas

(2020) Bipin Peethambaran et al.   CATENA

Mapping Landslide Susceptibility Using Machine Learning Algorithms and GIS: A Case Study in Shexian County, Anhui Province, China

(2020) Zitao Wang et al.   Symmetry-Basel

Assessment of landslide susceptibility mapping based on Bayesian hyperparameter optimization: A comparison between logistic regression and random forest

(2020) Deliang Sun et al.   ENGINEERING GEOLOGY

Application of a GIS-based slope unit method for landslide susceptibility mapping along the rapidly uplifting section of the upper Jinsha River, South-Western China

(2019) Xiaohui Sun et al.   Bulletin of Engineering Geology and the Environment

Landslide Susceptibility Mapping of Karakorum Highway Combined with the Application of SBAS-InSAR Technology

(2019) Fumeng Zhao et al.   SENSORS

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

(2019) Sevgen et al.   SENSORS

A step beyond landslide susceptibility maps: a simple method to investigate and explain the different outcomes obtained by different approaches

(2019) Ting Xiao et al.   Landslides

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

(2019) Maher Ibrahim Sameen et al.   CATENA

Underlying mechanisms of the geohazards of macro Loess discontinuities on the Chinese Loess Plateau

(2019) Shaokai Wang et al.   ENGINEERING GEOLOGY

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

(2019) Yanli Wu et al.   CATENA

A novel hybrid intelligent model of support vector machines and the MultiBoost ensemble for landslide susceptibility modeling

(2018) Binh Thai Pham et al.   Bulletin of Engineering Geology and the Environment

A review of statistically-based landslide susceptibility models

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

Comparison of GIS-based landslide susceptibility models using frequency ratio, logistic regression, and artificial neural network in a tertiary region of Ambon, Indonesia

(2018) Aril Aditian et al.   GEOMORPHOLOGY

Comparison and evaluation of landslide susceptibility maps obtained from weight of evidence, logistic regression, and artificial neural network models

(2018) Christos Polykretis et al.   NATURAL HAZARDS

Performance evaluation of the GIS-based data mining techniques of best-first decision tree, random forest, and naïve Bayes tree for landslide susceptibility modeling

(2018) Wei Chen et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Applying population-based evolutionary algorithms and a neuro-fuzzy system for modeling landslide susceptibility

(2018) Wei Chen et al.   CATENA

Distribution and genetic types of loess landslides in China

(2018) Jianbing Peng et al.   JOURNAL OF ASIAN EARTH SCIENCES

Spatial prediction of landslide susceptibility using an adaptive neuro-fuzzy inference system combined with frequency ratio, generalized additive model, and support vector machine techniques

(2017) Wei Chen et al.   GEOMORPHOLOGY

A Novel Hybrid Approach Based on Instance Based Learning Classifier and Rotation Forest Ensemble for Spatial Prediction of Rainfall-Induced Shallow Landslides using GIS

(2017) Quang-Khanh Nguyen et al.   Sustainability

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

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

A modified frequency ratio method for landslide susceptibility assessment

(2016) Langping Li et al.   Landslides

Applying Information Theory and GIS-based quantitative methods to produce landslide susceptibility maps in Nancheng County, China

(2016) Paraskevas Tsangaratos et al.   Landslides

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

(2016) Qingfeng Ding et al.   Geocarto International

Heavy rainfall triggered loess–mudstone landslide and subsequent debris flow in Tianshui, China

(2015) Jianbing Peng et al.   ENGINEERING GEOLOGY

Applying weight of evidence method and sensitivity analysis to produce a landslide susceptibility map

(2015) Ioanna Ilia et al.   Landslides

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 based on landslide history and analytic hierarchy process (AHP)

(2015) Dimitrios Myronidis et al.   NATURAL HAZARDS

Estimation of rainfall-induced landslides using ANN and fuzzy clustering methods: A case study in Saeen Slope, Azerbaijan province, Iran

(2014) Y. Alimohammadlou et al.   CATENA

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

Landslide susceptibility mapping based on rough set theory and support vector machines: A case of the Three Gorges area, China

(2013) Ling Peng et al.   GEOMORPHOLOGY

Evaluation and comparison of GIS based landslide susceptibility mapping procedures in Kulekhani watershed, Nepal

(2013) Prabin Kayastha et al.   JOURNAL OF THE GEOLOGICAL SOCIETY OF INDIA

A loess landslide induced by excavation and rainfall

(2013) Jun-Jie Wang et al.   Landslides

Landslide susceptibility mapping at Zonouz Plain, Iran using genetic programming and comparison with frequency ratio, logistic regression, and artificial neural network models

(2013) Vahid Nourani et al.   NATURAL HAZARDS

The landslide story

(2013) Runqiu Huang et al.   Nature Geoscience

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

(2012) Hamid Reza Pourghasemi et al.   CATENA

Ensemble-based landslide susceptibility maps in Jinbu area, Korea

(2012) Moung-Jin Lee et al.   Environmental Earth Sciences

GIS-based support vector machine modeling of earthquake-triggered landslide susceptibility in the Jianjiang River watershed, China

(2012) Chong Xu et al.   GEOMORPHOLOGY

Application of fuzzy logic and analytical hierarchy process (AHP) to landslide susceptibility mapping at Haraz watershed, Iran

(2012) Hamid Reza Pourghasemi et al.   NATURAL HAZARDS

Landslide susceptibility assessment in Limbe (SW Cameroon): A field calibrated seed cell and information value method

(2011) V.B. Che et al.   CATENA

Application of a neuro-fuzzy model to landslide-susceptibility mapping for shallow landslides in a tropical hilly area

(2011) Hyun-Joo Oh et al.   COMPUTERS & GEOSCIENCES

Landslide susceptibility assessment using SVM machine learning algorithm

(2011) Miloš Marjanović et al.   ENGINEERING GEOLOGY

2.5-D DC resistivity modeling considering flexibility and accuracy

(2011) Jingtian Tang et al.   Journal of Earth Science

Using a binary logistic regression method and GIS for evaluating and mapping the groundwater spring potential in the Sultan Mountains (Aksehir, Turkey)

(2011) Adnan Ozdemir   JOURNAL OF HYDROLOGY

Assessment of Landslide Susceptibility by Decision Trees in the Metropolitan Area of Istanbul, Turkey

(2010) H. A. Nefeslioglu et al.   MATHEMATICAL PROBLEMS IN ENGINEERING

The effect of the sampling strategies on the landslide susceptibility mapping by conditional probability and artificial neural networks

(2009) Işık Yilmaz   Environmental Earth Sciences

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

Guidelines for landslide susceptibility, hazard and risk zoning for land use planning

(2008) Robin Fell et al.   ENGINEERING GEOLOGY

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

Hypsometric Integral Estimation Methods and its Relevance on Erosion Status of North-Western Lesser Himalayan Watersheds

(2008) Omvir Singh et al.   WATER RESOURCES MANAGEMENT