| Coupled low rank representation and subspace clustering SE Abhadiomhen, ZY Wang, XJ Shen Applied Intelligence 52 (1), 530-546, 2022 | 25 | 2022 |
| Robust low-rank representation via residual projection for image classification K Hui, X Shen, SE Abhadiomhen, Y Zhan Knowledge-Based Systems 241, 108230, 2022 | 17 | 2022 |
| Multiview common subspace clustering via coupled low rank representation SE Abhadiomhen, Z Wang, X Shen, J Fan ACM Transactions on Intelligent Systems and Technology (TIST) 12 (4), 1-25, 2021 | 17 | 2021 |
| Multi‐view intrinsic low‐rank representation for robust face recognition and clustering Z Wang, SE Abhadiomhen, Z Liu, X Shen, W Gao, S Li IET Image Processing 15 (14), 3573-3584, 2021 | 16 | 2021 |
| Robust Label and Feature Space Co-Learning for Multi-Label Classification Z Liu, C Tang, SE Abhadiomhen, XJ Shen, Y Li IEEE Transactions on Knowledge & Data Engineering, 1-14, 2023 | 8 | 2023 |
| Supervised shallow multi-task learning: analysis of methods SE Abhadiomhen, RC Nzeh, ED Ganaa, HC Nwagwu, GE Okereke, ... Neural Processing Letters 54 (3), 2491-2508, 2022 | 6 | 2022 |
| Robust dimensionality reduction via low-rank Laplacian graph learning M Cai, X Shen, SE Abhadiomhen, Y Cai, S Tian ACM Transactions on Intelligent Systems and Technology 14 (3), 1-24, 2023 | 4 | 2023 |
| Robust spectral clustering via low-rank sample representation H Liang, HT Guan, SE Abhadiomhen, L Yan Applied Computational Intelligence and Soft Computing 2022, 2022 | 4 | 2022 |
| Low rank correlation representation and clustering W Gao, S Dai, SE Abhadiomhen, W He, X Yin Scientific Programming 2021, 1-12, 2021 | 4 | 2021 |
| Recursive sample scaling low-rank representation W Gao, X Li, S Dai, X Yin, SE Abhadiomhen Journal of Mathematics 2021, 1-14, 2021 | 3 | 2021 |
| Kernel ensemble support vector machine with integrated loss in shared parameters space YR Wu, XJ Shen, SE Abhadiomhen, Y Yang, JN Gu Multimedia Tools and Applications 82 (12), 18077-18096, 2023 | 1 | 2023 |
| Deep robust low rank correlation with unifying clustering structure for cross domain adaptation XJ Shen, Y Cai, SE Abhadiomhen, Z Liu, YZ Zhan, J Fan IEEE Transactions on Multimedia, 2023 | 1 | 2023 |
| Asthma prediction via affinity graph enhanced classifier: a machine learning approach based on routine blood biomarkers D Li, SE Abhadiomhen, D Zhou, XJ Shen, L Shi, Y Cui Journal of Translational Medicine 22 (1), 100, 2024 | | 2024 |
| Image edge preservation via low-rank residuals for robust subspace learning SE Abhadiomhen, XJ Shen, H Song, S Tian Multimedia Tools and Applications, 1-27, 2023 | | 2023 |
| Spectral type subspace clustering methods: multi-perspective analysis SE Abhadiomhen, NJ Ezeora, ED Ganaa, RC Nzeh, I Adeyemo, IU Uzo, ... Multimedia Tools and Applications, 1-21, 2023 | | 2023 |
| Low-Rank Representation Based Model for Sar Image Denoising and Edge-Preserving T Zhang, S Tian, SE Abhadiomhen, Z Xu, X Shen, J Wang, C Wang 2023 SAR in Big Data Era (BIGSARDATA), 1-4, 2023 | | 2023 |
| Hierarchical Model for SAR Image Despeckling VIA Low-Rank Representation and Prior Knowledge Regulation X Feng, S Tian, SE Abhadiomhen, Z Xu, X Shen, J Wang, C Wang 2023 SAR in Big Data Era (BIGSARDATA), 1-4, 2023 | | 2023 |
| Robust multiview spectral clustering via cooperative manifold and low rank representation induced Z Xu, S Tian, SE Abhadiomhen, XJ Shen Multimedia Tools and Applications 82 (16), 24445-24464, 2023 | | 2023 |
| Edge structure learning via low rank residuals for robust image classification XJ Shen, SE Abhadiomhen, Y Yang, Z Liu, S Tian Proceedings of the AAAI Conference on Artificial Intelligence 37 (2), 2236-2244, 2023 | | 2023 |
| Edge-Preserved Low-Rank Representation via Multi-Level Knowledge Incorporation for Remote Sensing Image Denoising X Feng, S Tian, SE Abhadiomhen, Z Xu, X Shen, J Wang, X Zhang, ... Remote Sensing 15 (9), 2318, 2023 | | 2023 |
Dr. Nwagwu HonourUniversity of Nigeria, NsukkaVerified email at unn.edu.ng
