| 1 |
Improving the performance of artificial intelligence models using the rotation forest technique for landslide susceptibility mapping
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International Journal of Environmental Science and Technology
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| 2 |
Landslide susceptibility modeling based on remote sensing data and data mining techniques
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Environmental Earth Sciences
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| 3 |
Performance Evaluation of Sentinel-2 and Landsat 8 OLI Data for Land Cover/Use Classification Using a Comparison between Machine Learning Algorithms
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Remote Sensing
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| 4 |
Performance Evaluation and Comparison of Bivariate Statistical-Based Artificial Intelligence Algorithms for Spatial Prediction of Landslides
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ISPRS International Journal of Geo-Information
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| 5 |
Spatial Prediction of Landslide Susceptibility Using GIS-Based Data Mining Techniques of ANFIS with Whale Optimization Algorithm (WOA) and Grey Wolf Optimizer (GWO)
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Applied Sciences-Basel
|
| 6 |
GIS-Based Machine Learning Algorithms for Gully Erosion Susceptibility Mapping in a Semi-Arid Region of Iran
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Remote Sensing
|
| 7 |
Shallow Landslide Susceptibility Mapping: A Comparison between Logistic Model Tree, Logistic Regression, Naïve Bayes Tree, Artificial Neural Network, and Support Vector Machine Algorithms
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International Journal of Environmental Research and Public Health
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| 8 |
Landslide Detection and Susceptibility Modeling on Cameron Highlands (Malaysia): A Comparison between Random Forest, Logistic Regression and Logistic Model Tree Algorithms
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FORESTS
|
| 9 |
Landslide Susceptibility Mapping Using Machine Learning Algorithms and Remote Sensing Data in a Tropical Environment
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International Journal of Environmental Research and Public Health
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| 10 |
Shallow Landslide Susceptibility Mapping by Random Forest Base Classifier and Its Ensembles in a Semi-Arid Region of Iran
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FORESTS
|
| 11 |
Evaluating the usage of tree-based ensemble methods in groundwater spring potential mapping
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JOURNAL OF HYDROLOGY
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| 12 |
Hybrid Computational Intelligence Methods for Landslide Susceptibility Mapping
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Symmetry-Basel
|
| 13 |
GIS-Based Gully Erosion Susceptibility Mapping: A Comparison of Computational Ensemble Data Mining Models
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Applied Sciences-Basel
|
| 14 |
Monitoring and Assessment of Water Level Fluctuations of the Lake Urmia and Its Environmental Consequences Using Multitemporal Landsat 7 ETM+ Images
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International Journal of Environmental Research and Public Health
|
| 15 |
Flood susceptibility assessment in Hengfeng area coupling adaptive neuro-fuzzy inference system with genetic algorithm and differential evolution
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SCIENCE OF THE TOTAL ENVIRONMENT
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| 16 |
Flood susceptibility assessment in Hengfeng area coupling adaptiveneuro-fuzzy inference system with genetic algorithm and differential evolution
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SCIENCE OF THE TOTAL ENVIRONMENT
|
| 17 |
Spatial prediction of landslide susceptibility by combining evidential belief function, logistic regression and logistic model tree
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Geocarto International
|
| 18 |
A Hybrid Computational Intelligence Approach to Groundwater Spring Potential Mapping
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Water
|
| 19 |
Modeling flood susceptibility using data-driven approaches of naive Bayes tree, alternating decision tree, and random forest methods
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SCIENCE OF THE TOTAL ENVIRONMENT
|
| 20 |
Groundwater Spring Potential Mapping Using Artificial Intelligence Approach Based on Kernel Logistic Regression, Random Forest, and Alternating Decision Tree Models
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Applied Sciences-Basel
|
| 21 |
Novel hybrid artificial intelligence approach of bivariate statistical-methods-based kernel logistic regression classifier for landslide susceptibility modeling
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Bulletin of Engineering Geology and the Environment
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| 22 |
Flood susceptibility mapping in Dingnan County (China) using adaptive neuro-fuzzy inference system with biogeography based optimization and imperialistic competitive algorithm
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JOURNAL OF ENVIRONMENTAL MANAGEMENT
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| 23 |
Flood susceptibility modelling using novel hybrid approach of reduced-error pruning trees with bagging and random subspace ensembles
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JOURNAL OF HYDROLOGY
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| 24 |
A novel ensemble approach of bivariate statistical-based logistic model tree classifier for landslide susceptibility assessment
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Geocarto International
|
| 25 |
Novel Hybrid Integration Approach of Bagging-Based Fisher’s Linear Discriminant Function for Groundwater Potential Analysis
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Natural Resources Research
|
| 26 |
Landslide Susceptibility Modeling Based on GIS and Novel Bagging-Based Kernel Logistic Regression
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Applied Sciences-Basel
|
| 27 |
Landslide spatial modelling using novel bivariate statistical based Naïve Bayes, RBF Classifier, and RBF Network machine learning algorithms
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SCIENCE OF THE TOTAL ENVIRONMENT
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| 28 |
Hybrid Integration Approach of Entropy with Logistic Regression and Support Vector Machine for Landslide Susceptibility Modeling
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Entropy
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| 29 |
Landslide susceptibility assessment at the Wuning area, China: a comparison between multi-criteria decision making, bivariate statistical and machine learning methods
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Natural Hazards
|
| 30 |
Novel GIS Based Machine Learning Algorithms for Shallow Landslide Susceptibility Mapping
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SENSORS
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| 31 |
Novel Hybrid Evolutionary Algorithms for Spatial Prediction of Floods
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Scientific Reports
|
| 32 |
Landslide Detection and Susceptibility Mapping by AIRSAR Data Using Support Vector Machine and Index of Entropy Models in Cameron Highlands, Malaysia
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Remote Sensing
|
| 33 |
New Hybrids of ANFIS with Several Optimization Algorithms for Flood Susceptibility Modeling
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Water
|
| 34 |
Applying population-based evolutionary algorithms and a neuro-fuzzy system for modeling landslide susceptibility
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CATENA
|
| 35 |
GIS-based landslide susceptibility evaluation using a novel hybrid integration approach of bivariate statistical based random forest method
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CATENA
|
| 36 |
A novel hybrid artificial intelligence approach based on the rotation forest ensemble and na€ ıve Bayes tree classifiers for a landslide susceptibility assessment in Langao County, China
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Geomatics, Natural Hazards and Risk
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| 37 |
A novel hybrid integration model using support vector machines and random subspace for weather-triggered landslide susceptibility assessment in the Wuning area (China)
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Environmental Earth Sciences
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| 38 |
Landslide susceptibility modelling using GIS-based machine learning techniques for Chongren County, Jiangxi Province, China
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SCIENCE OF THE TOTAL ENVIRONMENT
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| 39 |
Performance evaluation of the GIS-based data mining techniques of best-first decision tree, random forest, and naïve Bayes tree for landslide susceptibility modeling
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SCIENCE OF THE TOTAL ENVIRONMENT
|