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A Spatial Data-Driven Approach for Mineral Prospectivity Mapping

A comparative study of different machine learning methods for reservoir landslide displacement prediction

Landslide susceptibility prediction using an incremental learning Bayesian Network model considering the continuously updated landslide inventories

Automated detection of pneumoconiosis with multilevel deep features learned from chest x-ray radiographs

Using an improved relative error support vector machine for body fat prediction

A deep learning algorithm using a fully connected sparse autoencoder neural network for landslide susceptibility prediction

Landslide susceptibility prediction considering regional soil erosion based on machine-learning models

Gully erosion susceptibility assessment and management of hazard-prone areas in India using different machine learning algorithms

Landslide susceptibility assessment based on clustering analysis and support vector machine

A novel level set segmentation algorithm for computer-aided hepatic surgical planning

Landslide susceptibility mapping based on self-organizing-map network and extreme learning machine

Prediction of groundwater levels using evidence of chaos and support vector machine

Transcriptome-wide mega-analyses reveal joint dysregulation of immunologic genes and transcription regulators in brain and blood in schizophrenia

An automatic rib segmentation method on x-ray radiographs

Automatic liver segmentation from CT images by combining statistical models with machine learning

Effects of training datasets on both the extreme learning machine and support vector machine for target audience identification on Twitter

Personalized recommendation system based on support vector machine and particle swarm optimization

Accurate object segmentation using novel active shape and appearance models based on support vector machine Learning

Automatic power load event detection and appliance classification based on power harmonic features in nonintrusive appliance load monitoring

Improvement of liver segmentation by combining high order statistical texture features with anatomical structural features

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