Yongliang Chen

A Comparative Study of Machine Learning Models with Hyperparameter Optimization Algorithm for Mapping Mineral Prospectivity

Hanlin Liu, Haiqi Liu, Nan Lin, 2021, Minerals.

Distance anomaly factors for gold potential mapping in the Jinchanggouliang area, Inner Mongolia, China

Yongliang Chen, Guosheng Sun, Qingying Zhao, 2021, Earth Science Informatics.

Combining the outputs of various k-nearest neighbor anomaly detectors to form a robust ensemble model for high-dimensional geochemical anomaly detection

Yongliang Chen, Laijun Lu, Qingying Zhao, 2021 .

Semivariogram fitting with linear programming

Yongliang Chen, Yongliang Chen, Xiguo Jiao, 2001 .

Application of one-class support vector machine to quickly identify multivariate anomalies from geochemical exploration data

Yongliang Chen, Yongliang Chen, Wei Wu, 2017, Geochemistry: Exploration, Environment, Analysis.

Application of continuous restricted Boltzmann machine to identify multivariate geochemical anomaly

Yongliang Chen, Laijun Lu, Yongliang Chen, 2014 .

A Bat Algorithm-Based Data-Driven Model for Mineral Prospectivity Mapping

Yongliang Chen, Qingying Zhao, Yongliang Chen, 2019, Natural Resources Research.

A prospecting cost-benefit strategy for mineral potential mapping based on ROC curve analysis

Yongliang Chen, Yongliang Chen, Wei Wu, 2016 .