1. A novel oversampling technique based on the manifold distance for class imbalance learning. (25th November 2021) Authors: Guo, Yinan; Jiao, Botao; Yang, Lingkai; Cheng, Jian; Yang, Shengxiang; Tang, Fengzhen Journal: International journal of bio-inspired computation Issue: Volume 18:Number 3(2021) Page Start: 131 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
2. A transfer weighted extreme learning machine for imbalanced classification. Issue 10 (2nd May 2022) Authors: Guo, Yinan; Jiao, Botao; Tan, Ying; Zhang, Pei; Tang, Fengzhen Journal: International journal of intelligent systems Issue: Volume 37:Issue 10(2022) Page Start: 7685 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
3. Feature selection with kernelized multi-class support vector machine. (September 2021) Authors: Guo, Yinan; Zhang, Zirui; Tang, Fengzhen Journal: Pattern recognition Issue: Volume 117(2021) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
4. Intelligent inversion analysis of thermal parameters for distributed monitoring data. (1st June 2023) Authors: Hu, Yuhan; Bao, Tengfei; Ge, Panmeng; Tang, Fengzhen; Zhu, Zheng; Gong, Jian Journal: Journal of building engineering Issue: Volume 68(2023) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
5. Learning joint space–time–frequency features for EEG decoding on small labeled data. (June 2019) Authors: Zhao, Dongye; Tang, Fengzhen; Si, Bailu; Feng, Xisheng Journal: Neural networks Issue: Volume 114(2019) Page Start: 67 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
6. NeuroBayesSLAM: Neurobiologically inspired Bayesian integration of multisensory information for robot navigation. (June 2020) Authors: Zeng, Taiping; Tang, Fengzhen; Ji, Daxiong; Si, Bailu Journal: Neural networks Issue: Volume 126(2020) Page Start: 21 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
7. Ordinal regression based on learning vector quantization. (September 2017) Authors: Tang, Fengzhen; Tiňo, Peter Journal: Neural networks Issue: Volume 93(2017) Page Start: 76 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
8. Probabilistic learning vector quantization on manifold of symmetric positive definite matrices. (October 2021) Authors: Tang, Fengzhen; Feng, Haifeng; Tino, Peter; Si, Bailu; Ji, Daxiong Journal: Neural networks Issue: Volume 142(2021) Page Start: 105 Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗
9. Riemannian dynamic generalized space quantization learning. (December 2022) Authors: Fan, MengLing; Tang, Fengzhen; Guo, Yinan; Zhao, Xingang Journal: Pattern recognition Issue: Volume 132(2022) Page Start: Record Type: Journal Article View Content: Available online (eLD content is only available in our Reading Rooms) ↗