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Haojie Cai et al.
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Improved landslide assessment using support vector machine with bagging, boosting, and stacking ensemble machine learning framework in a mountainous watershed, Japan
Jie Dou et al.
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Application of convolutional neural networks featuring Bayesian optimization for landslide susceptibility assessment
Maher Ibrahim Sameen et al.
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A hybrid model considering spatial heterogeneity for landslide susceptibility mapping in Zhejiang Province, China
Yumiao Wang et al.
CATENA (2020)
Application of alternating decision tree with AdaBoost and bagging ensembles for landslide susceptibility mapping
Yanli Wu et al.
CATENA (2020)
Landslide Susceptibility Prediction Based on Remote Sensing Images and GIS: Comparisons of Supervised and Unsupervised Machine Learning Models
Zhilu Chang et al.
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Yange Li et al.
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Chen Tao et al.
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Mariano Di Napoli et al.
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Machine learning methods for landslide susceptibility studies: A comparative overview of algorithm performance
Abdelaziz Merghadi et al.
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Binh Thai Pham et al.
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Tao Chen et al.
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Peyman Yariyan et al.
SCIENCE OF THE TOTAL ENVIRONMENT (2020)
An ensemble prediction of flood susceptibility using multivariate discriminant analysis, classification and regression trees, and support vector machines
Bahram Choubin et al.
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Evaluating GIS-Based Multiple Statistical Models and Data Mining for Earthquake and Rainfall-Induced Landslide Susceptibility Using the LiDAR DEM
Jie Dou et al.
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Meta optimization of an adaptive neuro-fuzzy inference system with grey wolf optimizer and biogeography-based optimization algorithms for spatial prediction of landslide susceptibility
Abolfazl Jaafari et al.
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Landslide susceptibility modeling using Reduced Error Pruning Trees and different ensemble techniques: Hybrid machine learning approaches
Binh Thai Pham et al.
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An Augmented Linear Mixing Model to Address Spectral Variability for Hyperspectral Unmixing
Danfeng Hong et al.
IEEE TRANSACTIONS ON IMAGE PROCESSING (2019)
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Jaehyun Lee et al.
APPLIED SCIENCES-BASEL (2019)
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Mikhail Belkin et al.
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Saro Lee et al.
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Landslide Susceptibility Mapping Based on Weighted Gradient Boosting Decision Tree in Wanzhou Section of the Three Gorges Reservoir Area (China)
Yingxu Song et al.
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION (2019)
An Experimental Research on the Use of Recurrent Neural Networks in Landslide Susceptibility Mapping
Begum Mutlu et al.
ISPRS INTERNATIONAL JOURNAL OF GEO-INFORMATION (2019)
A review of statistically-based landslide susceptibility models
Paola Reichenbach et al.
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Comparison of GIS-based landslide susceptibility models using frequency ratio, logistic regression, and artificial neural network in a tertiary region of Ambon, Indonesia
Aril Aditian et al.
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Arsalan Ahmed Othman et al.
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Global fatal landslide occurrence from 2004 to 2016
Melanie J. Froude et al.
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Object-Oriented Landslide Mapping Using ZY-3 Satellite Imagery, Random Forest and Mathematical Morphology, for the Three-Gorges Reservoir, China
Tao Chen et al.
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Liang-Jie Wang et al.
GEOSCIENCES JOURNAL (2016)
Landslide detection and susceptibility mapping using LiDAR and an artificial neural network approach: a case study in the Cuyahoga Valley National Park, Ohio
Pece V. Gorsevski et al.
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Dieu Tien Bui et al.
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Ahmed Mohamed Youssef et al.
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Thom A. Bogaard et al.
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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.
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Dieu Tien Bui et al.
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Random forests and evidential belief function-based landslide susceptibility assessment in Western Mazandaran Province, Iran
Hamid Reza Pourghasemi et al.
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GIS-based landslide susceptibility analysis using frequency ratio and evidential belief function models
Ziwen Zhang et al.
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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.
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M. Paz Sesmero et al.
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Tao Chen et al.
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Arif Mert Eker et al.
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Fast R-CNN
Ross Girshick
2015 IEEE INTERNATIONAL CONFERENCE ON COMPUTER VISION (ICCV) (2015)
Face recognition using transform domain feature extraction and PSO-based feature selection
N. L. Ajit Krisshna et al.
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Ling Peng et al.
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Jianhua Dai et al.
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Anne-Laure Boulesteix et al.
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Fausto Guzzetti et al.
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Application of fuzzy logic and analytical hierarchy process (AHP) to landslide susceptibility mapping at Haraz watershed, Iran
Hamid Reza Pourghasemi et al.
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Aykut Akgun et al.
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Lulseged Ayalew et al.
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