Related references
Note: Only part of the references are listed.Spatial prediction of landslide susceptibility using data mining-based kernel logistic regression, naive Bayes and RBFNetwork models for the Long County area (China)
Wei Chen et al.
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT (2019)
Exploring the effects of the design and quantity of absence data on the performance of random forest-based landslide susceptibility mapping
Haoyuan Hong et al.
CATENA (2019)
Spatial prediction of groundwater potentiality using ANFIS ensembled with teaching-learning-based and biogeography-based optimization
Wei Chen et al.
JOURNAL OF HYDROLOGY (2019)
Flood susceptibility modelling using novel hybrid approach of reduced-error pruning trees with bagging and random subspace ensembles
Wei Chen et al.
JOURNAL OF HYDROLOGY (2019)
Groundwater spring potential mapping using population-based evolutionary algorithms and data mining methods
Wei Chen et al.
SCIENCE OF THE TOTAL ENVIRONMENT (2019)
A comparative study of an expert knowledge-based model and two data-driven models for landslide susceptibility mapping
A-Xing Zhu et al.
CATENA (2018)
Review on landslide susceptibility mapping using support vector machines
Yu Huang et al.
CATENA (2018)
Landslide susceptibility mapping using J48 Decision Tree with AdaBoost, Bagging and Rotation Forest ensembles in the Guangchang area (China)
Haoyuan Hong et al.
CATENA (2018)
A review of statistically-based landslide susceptibility models
Paola Reichenbach et al.
EARTH-SCIENCE REVIEWS (2018)
Landslide hazard assessment in the Himalayas (Nepal and Bhutan) based on Earth-Observation data
Christian Ambrosi et al.
ENGINEERING GEOLOGY (2018)
Comparison of the presence-only method and presence-absence method in landslide susceptibility mapping
A-Xing Zhu et al.
CATENA (2018)
Landslide susceptibility assessment of South Pars Special Zone, southwest Iran
Mohammad Azarafza et al.
ENVIRONMENTAL EARTH SCIENCES (2018)
Landslide Susceptibility Modeling Based on GIS and Novel Bagging-Based Kernel Logistic Regression
Wei Chen et al.
APPLIED SCIENCES-BASEL (2018)
Landslide susceptibility assesssment in the Uttarakhand area (India) using GIS: a comparison study of prediction capability of na⟨ve bayes, multilayer perceptron neural networks, and functional trees methods
Binh Thai Pham et al.
THEORETICAL AND APPLIED CLIMATOLOGY (2017)
Numerical modeling of discontinuous rock slopes utilizing the 3DDGM (three-dimensional discontinuity geometrical modeling) method
Mohammad Azarafza et al.
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT (2017)
A GIS-based comparative study of Dempster-Shafer, logistic regression and artificial neural network models for landslide susceptibility mapping
Wei Chen et al.
GEOCARTO INTERNATIONAL (2017)
Assessment of susceptibility to rainfall-induced landslides using improved self-organizing linear output map, support vector machine, and logistic regression
Gwo-Fong Lin et al.
ENGINEERING GEOLOGY (2017)
Landslide displacement prediction based on multivariate chaotic model and extreme learning machine
Faming Huang et al.
ENGINEERING GEOLOGY (2017)
Comparison of two optimized machine learning models for predicting displacement of rainfall-induced landslide: A case study in Sichuan Province, China
Xing Zhu et al.
ENGINEERING GEOLOGY (2017)
Assessment of discontinuous rock slope stability with block theory and numerical modeling: a case study for the South Pars Gas Complex, Assalouyeh, Iran
Mohammad Azarafza et al.
ENVIRONMENTAL EARTH SCIENCES (2017)
Landslide spatial modeling: Introducing new ensembles of ANN, MaxEnt, and SVM machine learning techniques
Wei Chen et al.
GEODERMA (2017)
A comparative study of logistic model tree, random forest, and classification and regression tree models for spatial prediction of landslide susceptibility
Wei Chen et al.
CATENA (2017)
Hybrid integration of Multilayer Perceptron Neural Networks and machine learning ensembles for landslide susceptibility assessment at Himalayan area (India) using GIS
Binh Thai Pham et al.
CATENA (2017)
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
Dieu Tien Bui et al.
LANDSLIDES (2016)
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
Ahmed Mohamed Youssef et al.
LANDSLIDES (2016)
Comparison of a logistic regression and Naive Bayes classifier in landslide susceptibility assessments: The influence of models complexity and training dataset size
Paraskevas Tsangaratos et al.
CATENA (2016)
Dynamic earth system and ecological controls of rainfall-initiated landslides
Roy C. Sidle et al.
EARTH-SCIENCE REVIEWS (2016)
Landslides in a changing climate
Stefano Luigi Gariano et al.
EARTH-SCIENCE REVIEWS (2016)
A new approach to temporal modelling for landslide hazard assessment using an extreme rainfall induced-landslide index
Nikhil Nedumpallile Vasu et al.
ENGINEERING GEOLOGY (2016)
A comparative study for landslide susceptibility mapping using GIS-based multi-criteria decision analysis (MCDA), logistic regression (LR) and association rule mining (ARM)
Arzu Erener et al.
ENGINEERING GEOLOGY (2016)
A comparative study of different machine learning methods for landslide susceptibility assessment: A case study of Uttarakhand area (India)
Binh Thai Pham et al.
ENVIRONMENTAL MODELLING & SOFTWARE (2016)
Spatial prediction of rainfall-induced shallow landslides using hybrid integration approach of Least-Squares Support Vector Machines and differential evolution optimization: a case study in Central Vietnam
Dieu Tien Bui et al.
INTERNATIONAL JOURNAL OF DIGITAL EARTH (2016)
Spatial prediction of landslide hazard at the Yihuang area (China) using two-class kernel logistic regression, alternating decision tree and support vector machines
Haoyuan Hong et al.
CATENA (2015)
Evaluating machine learning and statistical prediction techniques for landslide susceptibility modeling
J. N. Goetz et al.
COMPUTERS & GEOSCIENCES (2015)
Landslide susceptibility assessment of the Youfang catchment using logistic regression
Bai Shi-biao et al.
JOURNAL OF MOUNTAIN SCIENCE (2015)
Earthquake induced landslide susceptibility mapping using an integrated ensemble frequency ratio and logistic regression models in West Sumatera Province, Indonesia
Zahrul Umar et al.
CATENA (2014)
A novel ensemble bivariate statistical evidential belief function with knowledge-based analytical hierarchy process and multivariate statistical logistic regression for landslide susceptibility mapping
Omar F. Althuwaynee et al.
CATENA (2014)
An expert knowledge-based approach to landslide susceptibility mapping using GIS and fuzzy logic
A-Xing Zhu et al.
GEOMORPHOLOGY (2014)
Three (nearly) complete inventories of landslides triggered by the May 12, 2008 Wenchuan Mw 7.9 earthquake of China and their spatial distribution statistical analysis
Chong Xu et al.
LANDSLIDES (2014)
SELECTION OF DISCRETE WAVELETS FOR FAULT DIAGNOSIS OF MONOBLOCK CENTRIFUGAL PUMP USING THE J48 ALGORITHM
V. Muralidharan et al.
APPLIED ARTIFICIAL INTELLIGENCE (2013)
Landslide susceptibility mapping at Vaz Watershed (Iran) using an artificial neural network model: a comparison between multilayer perceptron (MLP) and radial basic function (RBF) algorithms
Mohammad Zare et al.
ARABIAN JOURNAL OF GEOSCIENCES (2013)
Collinearity: a review of methods to deal with it and a simulation study evaluating their performance
Carsten F. Dormann et al.
ECOGRAPHY (2013)
Landslide susceptibility mapping using index of entropy and conditional probability models in GIS: Safarood Basin, Iran
Hamid Reza Pourghasemi et al.
CATENA (2012)
Spatial prediction of landslide hazards in Hoa Binh province (Vietnam): A comparative assessment of the efficacy of evidential belief functions and fuzzy logic models
Dieu Tien Bui et al.
CATENA (2012)
Comparison of different models for susceptibility mapping of earthquake triggered landslides related with the 2008 Wenchuan earthquake in China
Chong Xu et al.
COMPUTERS & GEOSCIENCES (2012)
A GIS-based comparative study of frequency ratio, analytical hierarchy process, bivariate statistics and logistics regression methods for landslide susceptibility mapping in Trabzon, NE Turkey
A. Yalcin et al.
CATENA (2011)
Design of an expert system for sorting pistachio nuts through decision tree and fuzzy logic classifier
Mahmoud Omid
EXPERT SYSTEMS WITH APPLICATIONS (2011)
Multi component fault diagnosis of rotational mechanical system based on decision tree and support vector machine
M. Saimurugan et al.
EXPERT SYSTEMS WITH APPLICATIONS (2011)
Distribution pattern of earthquake-induced landslides triggered by the 12 May 2008 Wenchuan earthquake
Tolga Gorum et al.
GEOMORPHOLOGY (2011)
Comparison of landslide susceptibility mapping methodologies for Koyulhisar, Turkey: conditional probability, logistic regression, artificial neural networks, and support vector machine
Isik Yilmaz
ENVIRONMENTAL EARTH SCIENCES (2010)
Modeling susceptibility to landslides using the weight of evidence approach: Western Colorado, USA
Netra R. Regmi et al.
GEOMORPHOLOGY (2010)
Landslide susceptibility mapping using frequency ratio, logistic regression, artificial neural networks and their comparison: A case study from Kat landslides (Tokat-Turkey)
Isik Yilmaz
COMPUTERS & GEOSCIENCES (2009)
Fault diagnosis of spur bevel gear box using discrete wavelet features and Decision Tree classification
N. Saravanan et al.
EXPERT SYSTEMS WITH APPLICATIONS (2009)
GIS-Based and Data-Driven Bivariate Landslide-Susceptibility Mapping in the Three Gorges Area, China
Bai Shi-Biao et al.
PEDOSPHERE (2009)
GIS-based landslide susceptibility mapping using analytical hierarchy process and bivariate statistics in Ardesen (Turkey): Comparisons of results and confirmations
Ali Yalcin
CATENA (2008)
An assessment on the use of logistic regression and artificial neural networks with different sampling strategies for the preparation of landslide susceptibility maps
H. A. Nefeslioglu et al.
ENGINEERING GEOLOGY (2008)
Earthquake-induced landslide hazard and vegetation recovery assessment using remotely sensed data and a neural network-based classifier: a case study in central Taiwan
Wen-Tzu Lin et al.
NATURAL HAZARDS (2008)
Facilitating the application of Support Vector Regression by using a universal Pearson VII function based kernel
B Üstün et al.
CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS (2006)
A multilayer perceptron-based medical decision support system for heart disease diagnosis
HM Yan et al.
EXPERT SYSTEMS WITH APPLICATIONS (2006)
Assessment of shallow landslide susceptibility using artificial neural networks in Jabonosa River Basin, Venezuela
H Gómez et al.
ENGINEERING GEOLOGY (2005)
Artificial Neural Networks applied to landslide susceptibility assessment
L Ermini et al.
GEOMORPHOLOGY (2005)
Use of genetic algorithms to select input variables in decision tree models for the prediction of benthic macroinvertebrates
T D'heygere et al.
ECOLOGICAL MODELLING (2003)
An experimental comparison of three methods for constructing ensembles of decision trees: Bagging, boosting, and randomization
TG Dietterich
MACHINE LEARNING (2000)
Share Paper
