Coupling logistic model tree and random subspace to predict the landslide susceptibility areas with considering the uncertainty of environmental features

Using CUDA to accelerate uncertainty propagation modelling for landslide susceptibility assessment

(2019) Ionut Sandric et al.   ENVIRONMENTAL MODELLING & SOFTWARE

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

Spatial prediction of landslides using a hybrid machine learning approach based on Random Subspace and Classification and Regression Trees

(2018) Binh Thai Pham et al.   GEOMORPHOLOGY

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

Enhancing Prediction Performance of Landslide Susceptibility Model Using Hybrid Machine Learning Approach of Bagging Ensemble and Logistic Model Tree

(2018) Xuan Truong et al.   Applied Sciences-Basel

Estimating landslide susceptibility areas considering the uncertainty inherent in modeling methods

(2018) Ho Gul Kim et al.   STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT

Shallow landslide susceptibility assessment using a novel hybrid intelligence approach

(2017) Ataollah Shirzadi et al.   Environmental Earth Sciences

Rock slope stability analyses using extreme learning neural network and terminal steepest descent algorithm

(2016) A.J. Li et al.   AUTOMATION IN CONSTRUCTION

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

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

A hybrid feature selection algorithm integrating an extreme learning machine for landslide susceptibility modeling of Mt. Woomyeon, South Korea

(2016) Nikhil N. Vasu et al.   GEOMORPHOLOGY

Landslide susceptibility mapping using analytical hierarchy process (AHP) in Tehri reservoir rim region, Uttarakhand

(2016) Rohan Kumar et al.   JOURNAL OF THE GEOLOGICAL SOCIETY OF INDIA

Impact of DEM-derived factors and analytical hierarchy process on landslide susceptibility mapping in the region of Rożnów Lake, Poland

(2016) Kamila Pawluszek et al.   NATURAL HAZARDS

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, Peloponnese Peninsula in South Greece

(2014) C. Chalkias et al.   Journal of Maps

Focusing on the spatial non-stationarity of landslide predisposing factors in northern Iceland

(2014) Thierry Feuillet et al.   PROGRESS IN PHYSICAL GEOGRAPHY

Links between teleconnection patterns and mean temperature in Spain

(2014) David Ríos-Cornejo et al.   THEORETICAL AND APPLIED CLIMATOLOGY

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

Rainfall event-based landslide susceptibility zonation mapping

(2013) Netra Prakash Bhandary et al.   NATURAL HAZARDS

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 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 mapping at Hoa Binh province (Vietnam) using an adaptive neuro-fuzzy inference system and GIS

(2011) Dieu Tien Bui et al.   COMPUTERS & GEOSCIENCES

A comparison of landslide susceptibility maps produced by logistic regression, multi-criteria decision, and likelihood ratio methods: a case study at İzmir, Turkey

(2011) Aykut Akgun   Landslides

Manifestation of an adaptive neuro-fuzzy model on landslide susceptibility mapping: Klang valley, Malaysia

(2010) Ebru Akcapinar Sezer et al.   EXPERT SYSTEMS WITH APPLICATIONS