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Assessing landslide susceptibility based on hybrid Best-first decision tree with ensemble learning model

Ecological indicators, 2023-03, Vol.147, p.109968, Article 109968

Hong, Haoyuan

2023

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Comparison of convolutional neural networks for landslide susceptibility mapping in Yanshan County, China

The Science of the total environment, 2019-05, Vol.666, p.975-993

2019

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Landslide susceptibility assessment in Lianhua County (China): A comparison between a random forest data mining technique and bivariate and multivariate statistical models

Geomorphology (Amsterdam, Netherlands), 2016-04, Vol.259, p.105-118

2016

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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

Catena (Giessen), 2015-10, Vol.133, p.266-281

2015

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Analyzing urban spatial patterns and trend of urban growth using urban sprawl matrix: A study on Kolkata urban agglomeration, India

The Science of the total environment, 2018-07, Vol.628-629, p.1557-1566

2018

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Identification of torrential valleys using GIS and a novel hybrid integration of artificial intelligence, machine learning and bivariate statistics

Catena (Giessen), 2019-12, Vol.183, p.104179, Article 104179

2019

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A comparative study of logistic model tree, random forest, and classification and regression tree models for spatial prediction of landslide susceptibility

Catena (Giessen), 2017-04, Vol.151, p.147-160

2017

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A hybrid fuzzy weight of evidence method in landslide susceptibility analysis on the Wuyuan area, China

Geomorphology (Amsterdam, Netherlands), 2017-08, Vol.290, p.1-16

2017

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Life-Cycle Seismic Fragility Assessment of Existing RC Bridges Subject to Chloride-Induced Corrosion in Marine Environment

Advances in Civil Engineering, 2021-06, Vol.2021 (1)

2021

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Exploring the effects of the design and quantity of absence data on the performance of random forest-based landslide susceptibility mapping

Catena (Giessen), 2019-05, Vol.176, p.45-64

2019

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Indirect Determination Approach of Blast-Induced Ground Vibration Based on a Hybrid SSA-Optimized GP-Based Technique

Advances in Civil Engineering, 2021, Vol.2021 (1)

2021

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Integration of convolutional neural network and conventional machine learning classifiers for landslide susceptibility mapping

Computers & geosciences, 2020-06, Vol.139, p.104470, Article 104470

2020

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Applying Information Theory and GIS-based quantitative methods to produce landslide susceptibility maps in Nancheng County, China

Landslides, 2017-06, Vol.14 (3), p.1091-1111

2017

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Introducing a novel multi-layer perceptron network based on stochastic gradient descent optimized by a meta-heuristic algorithm for landslide susceptibility mapping

The Science of the total environment, 2020-11, Vol.742, p.140549-140549, Article 140549

2020

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Application of fuzzy weight of evidence and data mining techniques in construction of flood susceptibility map of Poyang County, China

The Science of the total environment, 2018-06, Vol.625, p.575-588

2018

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Landslide susceptibility mapping using J48 Decision Tree with AdaBoost, Bagging and Rotation Forest ensembles in the Guangchang area (China)

Catena (Giessen), 2018-04, Vol.163, p.399-413

2018

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Compression Load Tests on Composite Foundations of Spread Footing Anchored by Helical Anchors

Advances in Civil Engineering, 2021, Vol.2021 (1)

2021

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A similarity-based approach to sampling absence data for landslide susceptibility mapping using data-driven methods

Catena (Giessen), 2019-12, Vol.183, p.104188, Article 104188

2019

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The Healing Process of the Joints between Buffer Material Blocks and the Influence on Solute Migration

Advances in Civil Engineering, 2021, Vol.2021 (1)

2021

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A comparative assessment of flood susceptibility modeling using Multi-Criteria Decision-Making Analysis and Machine Learning Methods

Journal of hydrology (Amsterdam), 2019-06, Vol.573, p.311-323

2019

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Spatial prediction of landslide hazard at the Luxi area (China) using support vector machines

Environmental earth sciences, 2016-01, Vol.75 (1), p.1, Article 40

2016

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GIS-based landslide susceptibility evaluation using a novel hybrid integration approach of bivariate statistical based random forest method

Catena (Giessen), 2018-05, Vol.164, p.135-149

2018

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Landslide Detection and Susceptibility Mapping by AIRSAR Data Using Support Vector Machine and Index of Entropy Models in Cameron Highlands, Malaysia

Remote sensing (Basel, Switzerland), 2018-10, Vol.10 (10), p.1527

2018

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The influence of DEM spatial resolution on landslide susceptibility mapping in the Baxie River basin, NW China

Natural hazards (Dordrecht), 2020-04, Vol.101 (3), p.853-877

2020

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Comparison of the presence-only method and presence-absence method in landslide susceptibility mapping

Catena (Giessen), 2018-12, Vol.171, p.222-233

2018

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Assessing landslide susceptibility based on hybrid Best-first decision tree with ensemble learning model

Comparison of convolutional neural networks for landslide susceptibility mapping in Yanshan County, China

Landslide susceptibility assessment in Lianhua County (China): A comparison between a random forest data mining technique and bivariate and multivariate statistical models

Spatial prediction of landslide hazard at the Yihuang area (China) using two-class kernel logistic regression, alternating decision tree and support vector machines

Analyzing urban spatial patterns and trend of urban growth using urban sprawl matrix: A study on Kolkata urban agglomeration, India

Identification of torrential valleys using GIS and a novel hybrid integration of artificial intelligence, machine learning and bivariate statistics

A comparative study of logistic model tree, random forest, and classification and regression tree models for spatial prediction of landslide susceptibility

A hybrid fuzzy weight of evidence method in landslide susceptibility analysis on the Wuyuan area, China

Life-Cycle Seismic Fragility Assessment of Existing RC Bridges Subject to Chloride-Induced Corrosion in Marine Environment

Exploring the effects of the design and quantity of absence data on the performance of random forest-based landslide susceptibility mapping

Indirect Determination Approach of Blast-Induced Ground Vibration Based on a Hybrid SSA-Optimized GP-Based Technique

Integration of convolutional neural network and conventional machine learning classifiers for landslide susceptibility mapping

Applying Information Theory and GIS-based quantitative methods to produce landslide susceptibility maps in Nancheng County, China

Introducing a novel multi-layer perceptron network based on stochastic gradient descent optimized by a meta-heuristic algorithm for landslide susceptibility mapping

Application of fuzzy weight of evidence and data mining techniques in construction of flood susceptibility map of Poyang County, China

Landslide susceptibility mapping using J48 Decision Tree with AdaBoost, Bagging and Rotation Forest ensembles in the Guangchang area (China)

Compression Load Tests on Composite Foundations of Spread Footing Anchored by Helical Anchors

A similarity-based approach to sampling absence data for landslide susceptibility mapping using data-driven methods

The Healing Process of the Joints between Buffer Material Blocks and the Influence on Solute Migration

A comparative assessment of flood susceptibility modeling using Multi-Criteria Decision-Making Analysis and Machine Learning Methods

Spatial prediction of landslide hazard at the Luxi area (China) using support vector machines

GIS-based landslide susceptibility evaluation using a novel hybrid integration approach of bivariate statistical based random forest method

Landslide Detection and Susceptibility Mapping by AIRSAR Data Using Support Vector Machine and Index of Entropy Models in Cameron Highlands, Malaysia

The influence of DEM spatial resolution on landslide susceptibility mapping in the Baxie River basin, NW China

Comparison of the presence-only method and presence-absence method in landslide susceptibility mapping

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