Yulin Jian

Unsupervised Feature Selection via Multi-step Markov Transition Probability pdf

Ce Zhu, Liang Tian, Mao Ye, 2020, ArXiv.

Drift Compensation for E-Nose Using QPSO-Based Domain Adaptation Kernel ELM

Changjian Deng, Kun Lu, Tailai Wen, 2018, ISNN.

A Novel Extreme Learning Machine Classification Model for e-Nose Application Based on the Multiple Kernel Approach

Ying Huang, Kun Lu, Tailai Wen, 2017, Sensors.

Unsupervised feature selection via multi-step markov probability relationship

Ce Zhu, Shangming Yang, Yan Min, 2021, Neurocomputing.