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

Robustness evaluation of fuzzy expert system and extreme learning machine for geographic information system-based landslide susceptibility zonation: A case study from Indian Himalaya

(2019) Bipin Peethambaran et al.   Environmental Earth Sciences

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

(2018) Hamid Reza Pourghasemi et al.   CATENA

Particle swarm optimization based extreme learning neuro-fuzzy system for regression and classification

(2018) K.V. Shihabudheen et al.   EXPERT SYSTEMS WITH APPLICATIONS

Landslide susceptibility mapping in and around Mussoorie Township using fuzzy set procedure, MamLand and improved fuzzy expert system-A comparative study

(2018) Bipin Peethambaran et al.   NATURAL HAZARDS

Assessment of susceptibility to rainfall-induced landslides using improved self-organizing linear output map, support vector machine, and logistic regression

(2017) Gwo-Fong Lin et al.   ENGINEERING GEOLOGY

Landslide spatial modeling: Introducing new ensembles of ANN, MaxEnt, and SVM machine learning techniques

(2017) Wei Chen et al.   GEODERMA

Evaluating effectiveness of frequency ratio, fuzzy logic and logistic regression models in assessing landslide susceptibility: a case from Rudraprayag district, India

(2017) Mehebub Sahana et al.   Journal of Mountain Science

Regularized extreme learning adaptive neuro-fuzzy algorithm for regression and classification

(2017) Shihabudheen KV et al.   KNOWLEDGE-BASED SYSTEMS

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

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

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

Evaluating machine learning and statistical prediction techniques for landslide susceptibility modeling

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

Using an extreme learning machine to predict the displacement of step-like landslides in relation to controlling factors

(2015) Ying Cao et al.   Landslides

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

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

(2013) Taskin Kavzoglu et al.   Landslides

Ensemble of extreme learning machine for landslide displacement prediction based on time series analysis

(2013) Cheng Lian et al.   NEURAL COMPUTING & APPLICATIONS

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

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

Landslide susceptibility assessment using SVM machine learning algorithm

(2011) Miloš Marjanović et al.   ENGINEERING GEOLOGY

Combining landslide susceptibility maps obtained from frequency ratio, logistic regression, and artificial neural network models using ASTER images and GIS

(2011) Jaewon Choi et al.   ENGINEERING GEOLOGY

Application and validation of bivariate GIS-based landslide susceptibility assessment for the Vitravo river catchment (Calabria, south Italy)

(2011) Massimo Conforti et al.   NATURAL HAZARDS

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

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

Improvement of statistical landslide susceptibility mapping by using spatial and global regression methods in the case of More and Romsdal (Norway)

(2010) Arzu Erener et al.   Landslides

A spatial decision support system for extracting the core factors and thresholds for landslide susceptibility map

(2009) Shiuan Wan   ENGINEERING GEOLOGY

Techniques for evaluating the performance of landslide susceptibility models

(2009) Paolo Frattini et al.   ENGINEERING GEOLOGY

Comparison of landslide susceptibility mapping methodologies for Koyulhisar, Turkey: conditional probability, logistic regression, artificial neural networks, and support vector machine

(2009) Işık Yilmaz   Environmental Earth Sciences

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

A kernel functions analysis for support vector machines for land cover classification

(2009) T. Kavzoglu et al.   International Journal of Applied Earth Observation and Geoinformation

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