Timothy Apasiba Abeo

According to our database, Timothy Apasiba Abeo authored at least 18 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

Geometrically Preserved Dual Projections Learning for Multi-label Classification.

Zhi-Feng Liu, Rui-hang Cai, Timothy Apasiba Abeo, Cong-hua Zhou, Xiang-Jun Shen

Neural Process. Lett., December, 2023

A diversity enhanced hybrid particle swarm optimization and crow search algorithm for feature selection.

Jeremiah Osei-Kwakye, Fei Han, Alfred Adutwum Amponsah, Qing-Hua Ling, Timothy Apasiba Abeo

Appl. Intell., September, 2023

Dual projection learning with adaptive graph smoothing for multi-label classification.

Zhifeng Liu, Rui-hang Cai, Timothy Apasiba Abeo, Qian Zhu, Cong-hua Zhou, Xiang-Jun Shen

Appl. Intell., June, 2023

A novel message passing neural network based on neighborhood expansion.

Yanfeng Xue, Zhen Jin, Timothy Apasiba Abeo

Int. J. Mach. Learn. Cybern., March, 2023

2022

A hybrid optimization method by incorporating adaptive response strategy for Feedforward neural network.

Jeremiah Osei-Kwakye, Fei Han, Alfred Adutwum Amponsah, Qinghua Ling, Timothy Apasiba Abeo

Connect. Sci., 2022

Diversified feature representation via deep auto-encoder ensemble through multiple activation functions.

Na Qiang, Xiang-Jun Shen, Chang-Bin Huang, Shengli Wu, Timothy Apasiba Abeo, Ernest Domanaanmwi Ganaa, Shu-Cheng Huang

Appl. Intell., 2022

2021

Deflated manifold embedding PCA framework via multiple instance factorings.

Ernest Domanaanmwi Ganaa, Xiang-Jun Shen, Timothy Apasiba Abeo

Multim. Tools Appl., 2021

2020

Semi-supervised manifold alignment with multi-graph embedding.

Chang-Bin Huang, Timothy Apasiba Abeo, XiaoZhen Luo, Xiang-Jun Shen, Jianping Gou, DeJiao Niu

Multim. Tools Appl., 2020

Hybrid self-inertia weight adaptive particle swarm optimisation with local search using C4.5 decision tree classifier for feature selection problems.

Arfan Ali Nagra, Fei Han, Qing-Hua Ling, Muhammad Abubaker, Farooq Ahmad, Sumet Mehta, Timothy Apasiba Abeo

Connect. Sci., 2020

2019

A generalized multi-dictionary least squares framework regularized with multi-graph embeddings.

Timothy Apasiba Abeo, Xiangjun Shen, Bing-Kun Bao, Zheng-Jun Zha, Jianping Fan

Pattern Recognit., 2019

Laplacian Regularized Kernel Canonical Correlation Ensemble for Remote Sensing Image Classification.

Xiang-Jun Shen, XiaoZhen Luo, Timothy Apasiba Abeo, Yang Yang, Xi Shao, Shuying Li

IEEE Geosci. Remote. Sens. Lett., 2019

Dictionary-induced least squares framework for multi-view dimensionality reduction with multi-manifold embeddings.

Timothy Apasiba Abeo, Xiangjun Shen, Jianping Gou, Qirong Mao, Bing-Kun Bao, Shuying Li

IET Comput. Vis., 2019

Manifold Alignment via Global and Local Structures Preserving PCA Framework.

Timothy Apasiba Abeo, Xiangjun Shen, Ernest Domanaanmwi Ganaa, Qian Zhu, Bing-Kun Bao, Zheng-Jun Zha

IEEE Access, 2019

Manifold Alignment with Multi-graph Embedding.

Changbin Huang, Timothy Apasiba Abeo, Xiangjun Shen

Proceedings of the MMAsia '19: ACM Multimedia Asia, Beijing, China, December 16-18, 2019, 2019

Bilinear Factorization via Recursive Sample Factoring for Low-Rank Hyperspectral Image Recovery.

Yuxuan Wang, Timothy Apasiba Abeo, Liangjun Wang, Dickson Keddy Wornyo, Xiang-Jun Shen

Proceedings of the Image and Graphics - 10th International Conference, 2019

Incomplete-Data Oriented Dimension Reduction via Instance Factoring PCA Framework.

Ernest Domanaanmwi Ganaa, Timothy Apasiba Abeo, Sumet Mehta, Heping Song, Xiang-Jun Shen

Proceedings of the Image and Graphics - 10th International Conference, 2019

2018

Building kernelized canonical correlation ensemble for dimensionality reduction.

XiaoZhen Luo, Xiang-jun Shen, Timothy Apasiba Abeo

Proceedings of the 10th International Conference on Internet Multimedia Computing and Service, 2018

2017

Least-Squares Regulation Based Graph Embedding.

Si-Xing Liu, Timothy Apasiba Abeo, Xiang-jun Shen

Proceedings of the Advances in Multimedia Information Processing - PCM 2017, 2017