Chi-Keong Goh

Publication Activity (10 Years)

Years Active: 2016-2020
Publications (10 Years): 15

Top Topics

Visual Analytics

Anomaly Detection

Gaussian Process

Multitask Learning

Top Venues

Comput. Aided Des.

Publications

Calvin Chi-Wan Lim, Xiaofeng Yin, Tianyou Zhang, Senthil Kumar Selvaraj, Yi Su, Chi-Keong Goh, Alejandro Moreno, Shahrokh Shahpar
Towards Automatic Blocking of Shapes using Evolutionary Algorithm. Comput. Aided Des. 120 (2020)
Yan Chao Wang, Qian Zhang, Feng Lin, Chi-Keong Goh, Hock Soon Seah
PolarViz: a discriminating visualization and visual analytics tool for high-dimensional data. Vis. Comput. 35 (11) (2019)
Rohitash Chandra, Yew-Soon Ong, Chi-Keong Goh
Co-evolutionary multi-task learning for dynamic time series prediction. Appl. Soft Comput. 70 (2018)
Chi-Wan Lim, Xiaofeng Yin, Tianyou Zhang, Yi Su, Chi-Keong Goh, Alejandro Moreno, Shahrokh Shahpar
Automatic Blocking of Shapes Using Evolutionary Algorithm. IMR (2018)
Rohitash Chandra, Abhishek Gupta, Yew-Soon Ong, Chi-Keong Goh
Evolutionary Multi-task Learning for Modular Knowledge Representation in Neural Networks. Neural Process. Lett. 47 (3) (2018)
Zhao Xu, Jinwen Hu, Changhua Hu, Sivakumar Nadarajan, Chi-Keong Goh, Amit Gupta
Data-Driven Fault Detection of Electrical Machine. ICARCV (2018)
Rohitash Chandra, Yew-Soon Ong, Chi-Keong Goh
Co-evolutionary multi-task learning with predictive recurrence for multi-step chaotic time series prediction. Neurocomputing 243 (2017)
Pengfei Wei, Yiping Ke, Chi-Keong Goh
Domain Specific Feature Transfer for Hybrid Domain Adaptation. ICDM (2017)
Rohitash Chandra, Yew-Soon Ong, Chi-Keong Goh
Co-evolutionary multi-task learning for dynamic time series prediction. CoRR (2017)
Yan-Chao Wang, Qian Zhang, Feng Lin, Chi-Keong Goh, Xuan Wang, Hock Soon Seah
Histogram equalization and specification for high-dimensional data visualization using RadViz. CGI (2017)
Pengfei Wei, Ramón Sagarna, Yiping Ke, Yew-Soon Ong, Chi-Keong Goh
Source-Target Similarity Modelings for Multi-Source Transfer Gaussian Process Regression. ICML (2017)
Zhao Xu, Changhua Hu, Feng Yang, Shyh-Hao Kuo, Chi-Keong Goh, Amit Gupta, Sivakumar Nadarajan
Data-Driven Inter-Turn Short Circuit Fault Detection in Induction Machines. IEEE Access 5 (2017)
Woon Huei Chai, Shen-Shyang Ho, Chi-Keong Goh, Liang-Tien Chia, Hiok Chai Quek
A fast sparse reconstruction approach for high resolution image-based object surface anomaly detection. MVA (2017)
Woon Huei Chai, Shen-Shyang Ho, Chi-Keong Goh
Exploiting sparsity for image-based object surface anomaly detection. ICASSP (2016)
Abhishek Gupta, Yew-Soon Ong, Piaras A. Kelly, Chi-Keong Goh
Pareto rank learning for multi-objective bi-level optimization: A study in composites manufacturing. CEC (2016)