Extreme Learning Machine Based on Double Kernel Risk-Sensitive Loss for Cancer Samples Classification. - Zhen-Xin Niu; Liang-Rui Ren; Rong Zhu; Xiang-Zhen Kong; Ying-Lian Gao; Jin-Xing Liu 001 (ICIC (2), 2021)

An integrated Extreme learning machine based on kernel risk-sensitive loss of q-Gaussian and voting mechanism for sample classification. - Zhi-Yuan Li; Ying-Lian Gao; Zhen-Xin Niu; Shasha Yuan; Chun-Hou Zheng 001; Jin-Xing Liu 001 (BIBM, 2022)

Kernel risk-sensitive mean p-power loss based hyper-graph regularized robust extreme learning machine and its semi-supervised extension for sample classification. - Zhen-Xin Niu; Cui-Na Jiao; Liang-Rui Ren; Rong Zhu; Juan Wang 003; Jin-Xing Liu 001 (Appl. Intell., 2022)