Feature Selection Using SVM Probabilistic Outputs. - Kai Quan Shen; Chong Jin Ong; Xiaoping Li 003; Hui Zheng; Einar P. V. Wilder-Smith (ICONIP (1), 2006)

A Feature Selection Method for Multilevel Mental Fatigue EEG Classification. - Kai Quan Shen; Chong Jin Ong; Xiaoping Li 003; Hui Zheng; Einar P. V. Wilder-Smith (IEEE Trans. Biomed. Eng., 2007)

Automatic identification and removal of artifacts in EEG using a probabilistic multi-class SVM approach with error correction. - Shiyun Shao; Kai Quan Shen; Chong Jin Ong; Xiaoping Li 003; Einar P. V. Wilder-Smith (SMC, 2008)

Novel multi-class feature selection methods using sensitivity analysis of posterior probabilities. - Kai Quan Shen; Chong Jin Ong; Xiaoping Li 003; Einar P. V. Wilder-Smith (SMC, 2008)

Feature selection via sensitivity analysis of MLP probabilistic outputs. - Jian-Bo Yang; Kai Quan Shen; Chong Jin Ong; Xiaoping Li 003 (SMC, 2008)

Feature selection via sensitivity analysis of SVM probabilistic outputs. - Kai Quan Shen; Chong Jin Ong; Xiaoping Li 003; Einar P. V. Wilder-Smith (Mach. Learn., 2008)

Automatic EEG Artifact Removal: A Weighted Support Vector Machine Approach With Error Correction. - Shiyun Shao; Kai Quan Shen; Chong Jin Ong; Einar P. V. Wilder-Smith; Xiaoping Li 003 (IEEE Trans. Biomed. Eng., 2009)

Feature Selection for MLP Neural Network: The Use of Random Permutation of Probabilistic Outputs. - Jian-Bo Yang; Kai Quan Shen; Chong Jin Ong; Xiaoping Li 003 (IEEE Trans. Neural Networks, 2009)

Common Spatio-Temporal Pattern for Single-Trial Detection of Event-Related Potential in Rapid Serial Visual Presentation Triage. - Ke Yu; Kai Quan Shen; Shiyun Shao; Wu Chun Ng; Kenneth Kwok; Xiaoping Li 003 (IEEE Trans. Biomed. Eng., 2011)

Magnetically induced deep brain stimulation of neuronal firing for pain relief. - Jie Fan 003; Tiecheng Wu; Kim Seng Lee; Xiaoping Li 003 (EMBC, 2012)

Cortical neuron activation induced by electromagnetic stimulation: a quantitative analysis via modelling and simulation. - Tiecheng Wu; Jie Fan 003; Kim Seng Lee; Xiaoping Li 003 (J. Comput. Neurosci., 2016)