Ensemble machine learning models based on Reduced Error Pruning Tree for prediction of rainfall-induced landslides

Preliminary analyses of a catastrophic landslide occurred on July 23, 2019, in Guizhou Province, China

(2020) Hai-bo Li et al.   Landslides

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

(2020) Yumiao Wang et al.   CATENA

Shallow Landslide Susceptibility Mapping by Random Forest Base Classifier and Its Ensembles in a Semi-Arid Region of Iran

(2020) Viet-Ha Nhu et al.   Forests

Groundwater Potential Mapping Combining Artificial Neural Network and Real AdaBoost Ensemble Technique: The DakNong Province Case-study, Vietnam

(2020) Phong Tung Nguyen et al.   International Journal of Environmental Research and Public Health

Shallow Landslide Susceptibility Mapping: A Comparison between Logistic Model Tree, Logistic Regression, Naïve Bayes Tree, Artificial Neural Network, and Support Vector Machine Algorithms

(2020) Viet-Ha Nhu et al.   International Journal of Environmental Research and Public Health

Forecasting of Landslides Using Rainfall Severity and Soil Wetness: A Probabilistic Approach for Darjeeling Himalayas

(2020) Minu Treesa Abraham et al.   Water

The Selection of Rain Gauges and Rainfall Parameters in Estimating Intensity-Duration Thresholds for Landslide Occurrence: Case Study from Wayanad (India)

(2020) Minu Treesa Abraham et al.   Water

GIS-Based Gully Erosion Susceptibility Mapping: A Comparison of Computational Ensemble Data Mining Models

(2020) Viet-Ha Nhu et al.   Applied Sciences-Basel

Soft Computing Ensemble Models Based on Logistic Regression for Groundwater Potential Mapping

(2020) Phong Tung Nguyen et al.   Applied Sciences-Basel

Assessment of advanced random forest and decision tree algorithms for modeling rainfall-induced landslide susceptibility in the Izu-Oshima Volcanic Island, Japan

(2019) Jie Dou et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Occurrence of the potent mutagens 2- nitrobenzanthrone and 3-nitrobenzanthrone in fine airborne particles

(2019) Aldenor G. Santos et al.   Scientific Reports

Novel Hybrid Integration Approach of Bagging-Based Fisher’s Linear Discriminant Function for Groundwater Potential Analysis

(2019) Wei Chen et al.   Natural Resources Research

Meta optimization of an adaptive neuro-fuzzy inference system with grey wolf optimizer and biogeography-based optimization algorithms for spatial prediction of landslide susceptibility

(2019) Abolfazl Jaafari et al.   CATENA

Insights into the recent Kotropi landslide of August 2017, India: a geological investigation and slope stability analysis

(2019) S. P. Pradhan et al.   Landslides

Landslide Susceptibility Mapping Using Different GIS-Based Bivariate Models

(2019) Nohani et al.   Water

Landslide susceptibility evaluating using artificial intelligence method in the Youfang district (China)

(2019) Haoyuan Hong et al.   Environmental Earth Sciences

Genetic and firefly metaheuristic algorithms for an optimized neuro-fuzzy prediction modeling of wildfire probability

(2019) Abolfazl Jaafari et al.   JOURNAL OF ENVIRONMENTAL MANAGEMENT

The human cost of global warming: Deadly landslides and their triggers (1995–2014)

(2019) Ubydul Haque et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Estimating Rainfall Thresholds for Landslide Occurrence in the Bhutan Himalayas

(2019) Abhirup Dikshit et al.   Water

Landslide Susceptibility Assessment by Novel Hybrid Machine Learning Algorithms

(2019) Pham et al.   Sustainability

Prediction Success of Machine Learning Methods for Flash Flood Susceptibility Mapping in the Tafresh Watershed, Iran

(2019) Saeid Janizadeh et al.   Sustainability

Weathering and deterioration of geotechnical properties in time of groundmasses in a tropical climate

(2019) The Viet Tran et al.   ENGINEERING GEOLOGY

Rainfall Thresholds for Prediction of Landslides in Idukki, India: An Empirical Approach

(2019) Minu Treesa Abraham et al.   Water

GIS Based Novel Hybrid Computational Intelligence Models for Mapping Landslide Susceptibility: A Case Study at Da Lat City, Vietnam

(2019) Viet-Tien Nguyen et al.   Sustainability

GIS-Based Evaluation of Landslide Susceptibility Models Using Certainty Factors and Functional Trees-Based Ensemble Techniques

(2019) Xia Zhao et al.   Applied Sciences-Basel

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

LiDAR-supported prediction of slope failures using an integrated ensemble weights-of-evidence and analytical hierarchy process

(2018) Abolfazl Jaafari   Environmental Earth Sciences

Bagging based Support Vector Machines for spatial prediction of landslides

(2018) Binh Thai Pham et al.   Environmental Earth Sciences

Spatial Prediction of Rainfall-Induced Landslides Using Aggregating One-Dependence Estimators Classifier

(2018) Binh Thai Pham et al.   Journal of the Indian Society of Remote Sensing

Soil pore identification with the adaptive fuzzy C-means method based on computed tomography images

(2018) Yue Zhao et al.   JOURNAL OF FORESTRY RESEARCH

Landslide Susceptibility Modeling Based on GIS and Novel Bagging-Based Kernel Logistic Regression

(2018) Wei Chen et al.   Applied Sciences-Basel

Modeling multi-decadal mangrove leaf area index in response to drought along the semi-arid southern coasts of Iran

(2018) Davood Mafi-Gholami et al.   SCIENCE OF THE TOTAL ENVIRONMENT

Distribution and genetic types of loess landslides in China

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

Landslide susceptibility modeling using Reduced Error Pruning Trees and different ensemble techniques: Hybrid machine learning approaches

(2018) Binh Thai Pham et al.   CATENA

Coupled hydro-mechanical analysis of two unstable unsaturated slopes subject to rainfall infiltration

(2017) Kuo-Hsin Yang et al.   ENGINEERING GEOLOGY

Shallow landslide susceptibility assessment using a novel hybrid intelligence approach

(2017) Ataollah Shirzadi et al.   Environmental Earth Sciences

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

A novel hybrid artificial intelligence approach based on the rotation forest ensemble and naïve Bayes tree classifiers for a landslide susceptibility assessment in Langao County, China

(2017) Wei Chen et al.   Geomatics Natural Hazards & Risk

Loess Landslide Inventory Map Based on GF-1 Satellite Imagery

(2017) Wenyi Sun et al.   Remote Sensing

Landslides in a changing climate

(2016) Stefano Luigi Gariano et al.   EARTH-SCIENCE REVIEWS

Probabilistic back analysis of rainfall induced landslide‐ A case study of Malin landslide, India

(2016) Pinom Ering et al.   ENGINEERING GEOLOGY

Stability analysis of unsaturated soil slopes considering water-air flow caused by rainfall infiltration

(2016) Sung Eun Cho   ENGINEERING GEOLOGY

Spatial prediction of rainfall-induced landslides for the Lao Cai area (Vietnam) using a hybrid intelligent approach of least squares support vector machines inference model and artificial bee colony optimization

(2016) Dieu Tien Bui et al.   Landslides

Comparison of four kernel functions used in support vector machines for landslide susceptibility mapping: a case study at Suichuan area (China)

(2016) Haoyuan Hong et al.   Geomatics Natural Hazards & Risk

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 assesssment in the Uttarakhand area (India) using GIS: a comparison study of prediction capability of naïve bayes, multilayer perceptron neural networks, and functional trees methods

(2015) Binh Thai Pham et al.   THEORETICAL AND APPLIED CLIMATOLOGY

Landslide susceptibility mapping using GIS-based statistical models and Remote sensing data in tropical environment

(2015) Himan Shahabi et al.   Scientific Reports

What controls the growth of the Himalayan foreland fold-and-thrust belt?

(2014) John Hirschmiller et al.   GEOLOGY

GIS-based frequency ratio and index of entropy models for landslide susceptibility assessment in the Caspian forest, northern Iran

(2014) A. Jaafari et al.   International Journal of Environmental Science and Technology

Landslide inventory map of north-eastern Calabria (South Italy)

(2013) Massimo Conforti et al.   Journal of Maps

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

(2013) Taskin Kavzoglu et al.   Landslides

Application of the analytical hierarchy process (AHP) for landslide susceptibility mapping: A case study from the Tinau watershed, west Nepal

(2012) P. Kayastha et al.   COMPUTERS & GEOSCIENCES

Landslide inventory map for the Briga and the Giampilieri catchments, NE Sicily, Italy

(2012) F. Ardizzone et al.   Journal of Maps

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

(2011) A. Yalcin et al.   CATENA

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

A GIS-based neuro-fuzzy procedure for integrating knowledge and data in landslide susceptibility mapping

(2010) Mohammad H. Vahidnia et al.   COMPUTERS & GEOSCIENCES

Use of GIS-based fuzzy logic relations and its cross application to produce landslide susceptibility maps in three test areas in Malaysia

(2010) Biswajeet Pradhan   Environmental Earth Sciences

Random Subspace Ensembles for fMRI Classification

(2010) L.I. Kuncheva et al.   IEEE TRANSACTIONS ON MEDICAL IMAGING

Landslide Susceptibility Zonation through ratings derived from Artificial Neural Network

(2010) Shivani Chauhan et al.   International Journal of Applied Earth Observation and Geoinformation

Validation of an artificial neural network model for landslide susceptibility mapping

(2009) Jaewon Choi et al.   Environmental Earth Sciences

Delineation of landslide hazard areas on Penang Island, Malaysia, by using frequency ratio, logistic regression, and artificial neural network models

(2009) Biswajeet Pradhan et al.   Environmental Earth Sciences

Comparing landslide inventory maps

(2007) Mirco Galli et al.   GEOMORPHOLOGY