Xiaoping Li

A new mobile application of agricultural pests recognition using deep learning in cloud computing system

Stability of person-specific blood-based infrared molecular fingerprints opens up prospects for health monitoring

A comparison of random forest and its Gini importance with standard chemometric methods for the feature selection and classification of spectral data

An introduction to recursive partitioning: Rationale, application, and characteristics of classification and regression trees, bagging, and random forests.

The Effect of Physical Activity Interventions on Children’s Cognition and Metacognition: A Systematic Review and Meta-Analysis

Measuring neurophysiological signals in aircraft pilots and car drivers for the assessment of mental workload, fatigue and drowsiness

EEG alpha spindle measures as indicators of driver fatigue under real traffic conditions

The Musicality of Non-Musicians: An Index for Assessing Musical Sophistication in the General Population

Automatic Localization and Count of Agricultural Crop Pests Based on an Improved Deep Learning Pipeline

The impact of 10‐minute activity breaks outside the classroom on male students’ on‐task behaviour and sustained attention: a randomised crossover design

Dynamic driver fatigue detection using hidden Markov model in real driving condition

Driver Fatigue Detection Systems: A Review

Apple Leaf Diseases Recognition Based on An Improved Convolutional Neural Network

A survey on ensemble learning

A healthcare monitoring system using random forest and internet of things (IoT)

Driver Behavior Analysis for Safe Driving: A Survey

Mining data with random forests: A survey and results of new tests

Driver Inattention Monitoring System for Intelligent Vehicles: A Review

MULTIPLE CRITERIA DECISION-MAKING TECHNIQUES IN TRANSPORTATION SYSTEMS: A SYSTEMATIC REVIEW OF THE STATE OF THE ART LITERATURE

Predictors of public climate change awareness and risk perception around the world

Oblique Decision Tree Ensemble via Multisurface Proximal Support Vector Machine

Random forest in remote sensing: A review of applications and future directions

Variable importance analysis: A comprehensive review

Removal of Muscle Artifacts from Single-Channel EEG Based on Ensemble Empirical Mode Decomposition and Multiset Canonical Correlation Analysis

Ensemble Classification and Regression-Recent Developments, Applications and Future Directions [Review Article]

Ensemble learning: A survey

Random Forests with ensemble of feature spaces

A Feature Selection Method for Multilevel Mental Fatigue EEG Classification

EEG-based mental fatigue measurement using multi-class support vector machines with confidence estimate

A novel auditory working-memory vigilance task for mental fatigue assessment

Multiple time-lag canonical correlation analysis for removing muscular artifacts in EEG

Utilization of rotation-invariant uniform LBP histogram distribution and statistics of connected regions in automatic image annotation based on multi-label learning