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ORCIDTimothy Apasiba Abeo
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2020 – today
- 2023
[j13]Zhifeng Liu, Rui-hang Cai
, Timothy Apasiba Abeo, Qian Zhu, Cong-hua Zhou, Xiang-Jun Shen:
Dual projection learning with adaptive graph smoothing for multi-label classification. Appl. Intell. 53(11): 14058-14071 (2023)- [j12]Jeremiah Osei-Kwakye, Fei Han, Alfred Adutwum Amponsah, Qing-Hua Ling, Timothy Apasiba Abeo:
A diversity enhanced hybrid particle swarm optimization and crow search algorithm for feature selection. Appl. Intell. 53(17): 20535-20560 (2023) - [j11]Yanfeng Xue, Zhen Jin, Timothy Apasiba Abeo:
A novel message passing neural network based on neighborhood expansion. Int. J. Mach. Learn. Cybern. 14(3): 849-860 (2023) - [j10]Zhi-Feng Liu, Rui-hang Cai, Timothy Apasiba Abeo, Cong-hua Zhou, Xiang-Jun Shen:
Geometrically Preserved Dual Projections Learning for Multi-label Classification. Neural Process. Lett. 55(6): 7369-7392 (2023) - 2022
- [j9]Na Qiang, Xiang-Jun Shen, Chang-Bin Huang, Shengli Wu, Timothy Apasiba Abeo, Ernest Domanaanmwi Ganaa, Shu-Cheng Huang:
Diversified feature representation via deep auto-encoder ensemble through multiple activation functions. Appl. Intell. 52(9): 10591-10603 (2022) - [j8]Jeremiah Osei-Kwakye, Fei Han, Alfred Adutwum Amponsah, Qinghua Ling, Timothy Apasiba Abeo:
A hybrid optimization method by incorporating adaptive response strategy for Feedforward neural network. Connect. Sci. 34(1): 578-607 (2022) - 2021
- [j7]Ernest Domanaanmwi Ganaa, Xiang-Jun Shen, Timothy Apasiba Abeo:
Deflated manifold embedding PCA framework via multiple instance factorings. Multim. Tools Appl. 80(3): 3809-3833 (2021) - 2020
- [j6]Arfan Ali Nagra, Fei Han, Qing-Hua Ling, Muhammad Abubaker, Farooq Ahmad, Sumet Mehta, Timothy Apasiba Abeo:
Hybrid self-inertia weight adaptive particle swarm optimisation with local search using C4.5 decision tree classifier for feature selection problems. Connect. Sci. 32(1): 16-36 (2020) - [j5]Chang-Bin Huang, Timothy Apasiba Abeo, XiaoZhen Luo, Xiang-Jun Shen, Jianping Gou, DeJiao Niu:
Semi-supervised manifold alignment with multi-graph embedding. Multim. Tools Appl. 79(27-28): 20241-20262 (2020)
2010 – 2019
- 2019
- [j4]Timothy Apasiba Abeo, Xiangjun Shen, Ernest Domanaanmwi Ganaa, Qian Zhu, Bing-Kun Bao, Zheng-Jun Zha:
Manifold Alignment via Global and Local Structures Preserving PCA Framework. IEEE Access 7: 38123-38134 (2019) - [j3]Timothy Apasiba Abeo, Xiangjun Shen, Jianping Gou, Qirong Mao, Bing-Kun Bao, Shuying Li:
Dictionary-induced least squares framework for multi-view dimensionality reduction with multi-manifold embeddings. IET Comput. Vis. 13(2): 97-108 (2019) - [j2]Xiang-Jun Shen, XiaoZhen Luo, Timothy Apasiba Abeo, Yang Yang, Xi Shao, Shuying Li:
Laplacian Regularized Kernel Canonical Correlation Ensemble for Remote Sensing Image Classification. IEEE Geosci. Remote. Sens. Lett. 16(7): 1150-1154 (2019) - [j1]Timothy Apasiba Abeo, Xiangjun Shen, Bing-Kun Bao, Zheng-Jun Zha, Jianping Fan:
A generalized multi-dictionary least squares framework regularized with multi-graph embeddings. Pattern Recognit. 90: 1-11 (2019) - [c5]Ernest Domanaanmwi Ganaa, Timothy Apasiba Abeo, Sumet Mehta, Heping Song, Xiang-Jun Shen:
Incomplete-Data Oriented Dimension Reduction via Instance Factoring PCA Framework. ICIG (3) 2019: 479-490 - [c4]Yuxuan Wang, Timothy Apasiba Abeo, Liangjun Wang, Dickson Keddy Wornyo, Xiang-Jun Shen:
Bilinear Factorization via Recursive Sample Factoring for Low-Rank Hyperspectral Image Recovery. ICIG (3) 2019: 529-540 - [c3]Changbin Huang, Timothy Apasiba Abeo, Xiangjun Shen:
Manifold Alignment with Multi-graph Embedding. MMAsia 2019: 40:1-40:6 - 2018
- [c2]XiaoZhen Luo, Xiang-jun Shen, Timothy Apasiba Abeo:
Building kernelized canonical correlation ensemble for dimensionality reduction. ICIMCS 2018: 29:1-29:5 - 2017
- [c1]Si-Xing Liu, Timothy Apasiba Abeo, Xiang-jun Shen:
Least-Squares Regulation Based Graph Embedding. PCM (1) 2017: 526-533
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