SF-KCCA: Sample Factoring Induced Kernel Canonical Correlation Analysis. - Bisheng Zhan; Ernest Domanaanmwi Ganaa; Na Qiang; Xiaozhen Luo (HCC, 2019)

Incomplete-Data Oriented Dimension Reduction via Instance Factoring PCA Framework. - Ernest Domanaanmwi Ganaa; Timothy Apasiba Abeo; Sumet Mehta; Heping Song; Xiang-Jun Shen (ICIG (3), 2019)

Manifold Alignment via Global and Local Structures Preserving PCA Framework. - Timothy Apasiba Abeo; Xiangjun Shen; Ernest Domanaanmwi Ganaa; Qian Zhu 003; Bing-Kun Bao; Zheng-Jun Zha (IEEE Access, 2019)

A Novel Hierarchical Deep Matrix Completion Method. - Yaru Chen; Xiaohong Gu; Conghua Zhou; Xiaolong Zhu; Yi Jiang; John Kingsley Arthur; Eric Appiah Mantey; Ernest Domanaanmwi Ganaa (IEEE Access, 2021)

Deflated manifold embedding PCA framework via multiple instance factorings. - Ernest Domanaanmwi Ganaa; Xiang-Jun Shen; Timothy Apasiba Abeo (Multim. Tools Appl., 2021)

Robust deflated canonical correlation analysis via feature factoring for multi-view image classification. - Kaifa Hui; Ernest Domanaanmwi Ganaa; Yongzhao Zhan 001; Xiang-jun Shen (Multim. Tools Appl., 2021)

Diversified feature representation via deep auto-encoder ensemble through multiple activation functions. - Na Qiang; Xiang-Jun Shen; Chang-Bin Huang; Shengli Wu 001; Timothy Apasiba Abeo; Ernest Domanaanmwi Ganaa; Shu-Cheng Huang (Appl. Intell., 2022)

A Survey on Big Data in Pharmacology, Toxicology and Pharmaceutics. - Krithika Latha Bhaskaran; Richard Sakyi Osei; Evans Kotei; Eric Yaw Agbezuge; Carlos Ankora; Ernest Domanaanmwi Ganaa (Big Data Cogn. Comput., 2022)

Supervised Shallow Multi-task Learning: Analysis of Methods. - Stanley Ebhohimhen Abhadiomhen; Royransom Chimela Nzeh; Ernest Domanaanmwi Ganaa; Nwagwu Honour Chika; George Emeka Okereke; Sidheswar Routray (Neural Process. Lett., 2022)

MoRE: Multi-output residual embedding for multi-label classification. - Siyu Liu; Xuehua Song; Zhongchen Ma; Ernest Domanaanmwi Ganaa; Xiangjun Shen (Pattern Recognit., 2022)

A correlation analysis framework via joint sample and feature selection. - Na Qiang; Xiangjun Shen; Ernest Domanaanmwi Ganaa; Yang Yang 001; Shengli Wu 001; Zengmin Zhao; Shu-Cheng Huang (Multim. Tools Appl., 2023)

Multi-view Representation Induced Kernel Ensemble Support Vector Machine. - Ebenezer Quayson; Ernest Domanaanmwi Ganaa; Qian Zhu 003; Xiang-Jun Shen (Neural Process. Lett., 2023)

CFS-AE: Correlation-based Feature Selection and Autoencoder for Improved Intrusion Detection System Performance. - Seiba Alhassan; Gaddafi Abdul-Salaam; Asante Micheal; Yaw Marfo Missah; Ernest Domanaanmwi Ganaa; Alimatu Sadia Shirazu (J. Internet Serv. Inf. Secur., 2024)

Anti-occlusion person re-identification via body topology information restoration and similarity evaluation. - Chunyun Meng; Ernest Domanaanmwi Ganaa; Bin Wu; Zhen Tan; Li Luan (IET Comput. Vis., 2024)

Spectral type subspace clustering methods: multi-perspective analysis. - Stanley Ebhohimhen Abhadiomhen; Nnamdi Johnson Ezeora; Ernest Domanaanmwi Ganaa; Royransom Chimela Nzeh; Isiaka Adeyemo; Izuchukwu Uchenna Uzo; Osondu E. Oguike (Multim. Tools Appl., 2024)

Robust feature enhanced deep kernel support vector machine via low rank representation and clustering. - Hongtao Li; Lulu Jiang; Ernest Domanaanmwi Ganaa; Peiwang Li; Xiang-Jun Shen (Expert Syst. Appl., 2025)