Related references
Note: Only part of the references are listed.PMT: New analytical framework for automated evaluation of geo-environmental modelling approaches
Omid Rahmati et al.
SCIENCE OF THE TOTAL ENVIRONMENT (2019)
Applying population-based evolutionary algorithms and a neuro-fuzzy system for modeling landslide susceptibility
Wei Chen et al.
CATENA (2019)
Assessment of advanced random forest and decision tree algorithms for modeling rainfall-induced landslide susceptibility in the Izu-Oshima Volcanic Island, Japan
Jie Dou et al.
SCIENCE OF THE TOTAL ENVIRONMENT (2019)
Landslide susceptibility mapping at Ovack-Karabuk (Turkey) using different artificial neural network models: comparison of training algorithms
Asli Can et al.
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT (2019)
Adaptive neuro-fuzzy inference system (ANFIS) modeling for landslide susceptibility assessment in a Mediterranean hilly area
Christos Polykretis et al.
BULLETIN OF ENGINEERING GEOLOGY AND THE ENVIRONMENT (2019)
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)
Bahareh Kalantar et al.
GEOMATICS NATURAL HAZARDS & RISK (2018)
Development of an automated GIS tool for reproducing the HAND terrain model
Omid Rahmati et al.
ENVIRONMENTAL MODELLING & SOFTWARE (2018)
Presenting logistic regression-based landslide susceptibility results
Luigi Lombardo et al.
ENGINEERING GEOLOGY (2018)
Novel Hybrid Evolutionary Algorithms for Spatial Prediction of Floods
Dieu Tien Bui et al.
SCIENTIFIC REPORTS (2018)
A Novel Integrated Approach of Relevance Vector Machine Optimized by Imperialist Competitive Algorithm for Spatial Modeling of Shallow Landslides
Dieu Tien Bui et al.
REMOTE SENSING (2018)
Evaluation of ANFIS and LR models for seismic rockfalls' susceptibility mapping: a case study of Firooz Abad-Kojour, Iran, Earthquake (2004)
Vahid Bagheri et al.
ENVIRONMENTAL EARTH SCIENCES (2018)
Forecasting effective drought index using a wavelet extreme learning machine (W-ELM) model
Ravinesh C. Deo et al.
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT (2017)
Landslide susceptibility assessment using a novel hybrid model of statistical bivariate methods (FR and WOE) and adaptive neuro-fuzzy inference system (ANFIS) at southern Zagros Mountains in Iran
Iman Nasiri Aghdam et al.
ENVIRONMENTAL EARTH SCIENCES (2017)
Handling high predictor dimensionality in slope-unit-based landslide susceptibility models through LASSO-penalized Generalized Linear Model
Daniela Castro Camilo et al.
ENVIRONMENTAL MODELLING & SOFTWARE (2017)
Spatial prediction of landslide susceptibility using an adaptive neuro-fuzzy inference system combined with frequency ratio, generalized additive model, and support vector machine techniques
Wei Chen et al.
GEOMORPHOLOGY (2017)
A comparative study between popular statistical and machine learning methods for simulating volume of landslides
Ataollah Shirzadi et al.
CATENA (2017)
Landslide susceptibility assessment using maximum entropy model with two different data sampling methods
Aiding Kornejady et al.
CATENA (2017)
Estimation of monthly evaporative loss using relevance vector machine, extreme learning machine and multivariate adaptive regression spline models
Ravinesh C. Deo et al.
STOCHASTIC ENVIRONMENTAL RESEARCH AND RISK ASSESSMENT (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)
Exploring the effect of absence selection on landslide susceptibility models: A case study in Sicily, Italy
Christian Conoscenti et al.
GEOMORPHOLOGY (2016)
Hybrid artificial intelligence approach based on neural fuzzy inference model and metaheuristic optimization for flood susceptibilitgy modeling in a high-frequency tropical cyclone area using GIS
Dieu Tien Bui et al.
JOURNAL OF HYDROLOGY (2016)
Presence-only approach to assess landslide triggering-thickness susceptibility: a test for the Mili catchment (north-eastern Sicily, Italy)
L. Lombardo et al.
NATURAL HAZARDS (2016)
Evaluation of ANFIS, ANN, and geostatistical models to spatial distribution of groundwater quality (case study: Mashhad plain in Iran)
Abbas Khashei-Siuki et al.
ARABIAN JOURNAL OF GEOSCIENCES (2015)
The Varnes classification of landslide types, an update
Oldrich Hungr et al.
LANDSLIDES (2014)
Adaptive Neuro-Fuzzy Inference System based speed controller for brushless DC motor
K. Premkumar et al.
NEUROCOMPUTING (2014)
Sample size matters: investigating the effect of sample size on a logistic regression susceptibility model for debris flows
T. Heckmann et al.
NATURAL HAZARDS AND EARTH SYSTEM SCIENCES (2014)
Assessing the quality of landslide susceptibility maps - case study Lower Austria
H. Petschko et al.
NATURAL HAZARDS AND EARTH SYSTEM SCIENCES (2014)
Mapping landslide susceptibility with logistic regression, multiple adaptive regression splines, classification and regression trees, and maximum entropy methods: a comparative study
Angel Felicisimo et al.
LANDSLIDES (2013)
A statistical explanation of MaxEnt for ecologists
Jane Elith et al.
DIVERSITY AND DISTRIBUTIONS (2011)
Landslide susceptibility assessment using SVM machine learning algorithm
Milos Marjanovic et al.
ENGINEERING GEOLOGY (2011)
Techniques for evaluating the performance of landslide susceptibility models
Paolo Frattini et al.
ENGINEERING GEOLOGY (2010)
Landslide susceptibility assessment and factor effect analysis: backpropagation artificial neural networks and their comparison with frequency ratio and bivariate logistic regression modelling
Biswajeet Pradhan et al.
ENVIRONMENTAL MODELLING & SOFTWARE (2010)
Analysis of landslide inventories for accurate prediction of debris-flow source areas
Jan Blahut et al.
GEOMORPHOLOGY (2010)
Pareto 80/20 law: derivation via random partitioning
Stan Lipovetsky
INTERNATIONAL JOURNAL OF MATHEMATICAL EDUCATION IN SCIENCE AND TECHNOLOGY (2009)
Comparing models of debris-flow susceptibility in the alpine environment
Alberto Carrara et al.
GEOMORPHOLOGY (2008)
A caution regarding rules of thumb for variance inflation factors
Robert M. O'Brien
QUALITY & QUANTITY (2007)
Imperialist competitive algorithm: An algorithm for optimization inspired by imperialistic competition
Esmaeil Atashpaz-Gargari et al.
2007 IEEE CONGRESS ON EVOLUTIONARY COMPUTATION, VOLS 1-10, PROCEEDINGS (2007)
Maximum entropy modeling of species geographic distributions
SJ Phillips et al.
ECOLOGICAL MODELLING (2006)
Land-cover change model validation by an ROC method for the Ipswich watershed, Massachusetts, USA
RG Pontius et al.
AGRICULTURE ECOSYSTEMS & ENVIRONMENT (2001)