Chi Keong Goh

Publication Activity (10 Years)

Years Active: 2003-2019
Publications (10 Years): 14

Top Topics

Fisher Classifier

Ordinal Regression

Top Venues

IEEE Trans. Neural Networks Learn. Syst.

Int. J. Syst. Sci.

IEEE Trans. Cybern.

Publications

Pengfei Wei, Yiping Ke, Chi Keong Goh
A General Domain Specific Feature Transfer Framework for Hybrid Domain Adaptation. IEEE Trans. Knowl. Data Eng. 31 (8) (2019)
Pengfei Wei, Yiping Ke, Chi Keong Goh
Feature Analysis of Marginalized Stacked Denoising Autoenconder for Unsupervised Domain Adaptation. IEEE Trans. Neural Networks Learn. Syst. 30 (5) (2019)
Alan Tan Wei Min, Yew-Soon Ong, Abhishek Gupta, Chi Keong Goh
Multiproblem Surrogates: Transfer Evolutionary Multiobjective Optimization of Computationally Expensive Problems. IEEE Trans. Evol. Comput. 23 (1) (2019)
Yanzhu Liu, Adams Wai-Kin Kong, Chi Keong Goh
A Constrained Deep Neural Network for Ordinal Regression. CVPR (2018)
Pin Lim, Chi Keong Goh, Kay Chen Tan
A Novel Time Series-Histogram of Features (TS-HoF) Method for Prognostic Applications. IEEE Trans. Emerg. Top. Comput. Intell. 2 (3) (2018)
Pin Lim, Chi Keong Goh, Kay Chen Tan
Evolutionary Cluster-Based Synthetic Oversampling Ensemble (ECO-Ensemble) for Imbalance Learning. IEEE Trans. Cybern. 47 (9) (2017)
Yanzhu Liu, Adams Wai-Kin Kong, Chi Keong Goh
Deep Ordinal Regression Based on Data Relationship for Small Datasets. IJCAI (2017)
Alan Tan Wei Min, Ramón Sagarna, Abhishek Gupta, Yew-Soon Ong, Chi Keong Goh
Knowledge Transfer Through Machine Learning in Aircraft Design. IEEE Comput. Intell. Mag. 12 (4) (2017)
Pin Lim, Chi Keong Goh, Kay Chen Tan, Partha Sarathi Dutta
Multimodal Degradation Prognostics Based on Switching Kalman Filter Ensemble. IEEE Trans. Neural Networks Learn. Syst. 28 (1) (2017)
Pin Lim, Chi Keong Goh, Kay Chen Tan
A time window neural network based framework for Remaining Useful Life estimation. IJCNN (2016)
Yanzhu Liu, Xiaojie Li, Adams Wai-Kin Kong, Chi Keong Goh
Learning from small data: A pairwise approach for ordinal regression. SSCI (2016)
Dudy Lim, Yew-Soon Ong, Abhishek Gupta, Chi Keong Goh, Partha Sarathi Dutta
Towards a new Praxis in optinformatics targeting knowledge re-use in evolutionary computation: simultaneous problem learning and optimization. Evol. Intell. 9 (4) (2016)
Pengfei Wei, Yiping Ke, Chi Keong Goh
Deep Nonlinear Feature Coding for Unsupervised Domain Adaptation. IJCAI (2016)
Rohitash Chandra, Abhishek Gupta, Yew-Soon Ong, Chi Keong Goh
Evolutionary Multi-task Learning for Modular Training of Feedforward Neural Networks. ICONIP (2) (2016)
Hui Xi, Chi Keong Goh, Partha Sarathi Dutta, Meng Sha, Jie Zhang
An Agent-based Simulation System for Dynamic Project Scheduling and Online Disruption Resolving. AAMAS (2015)
Rubing Duan, Rick Siow Mong Goh, Lily Rachmawati, Long Wang, Henry Novianus Palit, Xiaorong Li, Chi Keong Goh, Partha Sarathi Dutta, Leigh Lapworth, David Knott
An Efficient Co-processing Framework for Large-Scale Scientific Applications. CloudCom (2014)
Chi Keong Goh, Ferrante Neri
Computational intelligence optimisation in the presence of uncertainties. Int. J. Syst. Sci. 43 (7) (2012)
Jun Yong Chia, Chi Keong Goh, Vui Ann Shim, Kay Chen Tan
A data mining approach to evolutionary optimisation of noisy multi-objective problems. Int. J. Syst. Sci. 43 (7) (2012)
Jun Yong Chia, Chi Keong Goh, Kay Chen Tan, Vui Ann Shim
Memetic informed evolutionary optimization via data mining. Memetic Comput. 3 (2) (2011)
Chi Keong Goh, Dudy Lim, Learning Ma, Yew-Soon Ong, Partha Sarathi Dutta
A surrogate-assisted memetic co-evolutionary algorithm for expensive constrained optimization problems. IEEE Congress on Evolutionary Computation (2011)
Chi Keong Goh, Kay Chen Tan, D. S. Liu, Swee Chiang Chiam
A competitive and cooperative co-evolutionary approach to multi-objective particle swarm optimization algorithm design. Eur. J. Oper. Res. 202 (1) (2010)
Chi Keong Goh, Kay Chen Tan, Chun Yew Cheong, Yew-Soon Ong
An investigation on noise-induced features in robust evolutionary multi-objective optimization. Expert Syst. Appl. 37 (8) (2010)
Wee Tat Koo, Chi Keong Goh, Kay Chen Tan
A predictive gradient strategy for multiobjective evolutionary algorithms in a fast changing environment. Memetic Comput. 2 (2) (2010)
Hanyang Quek, Kay Chen Tan, Chi Keong Goh, Hussein A. Abbass
Evolution and Incremental Learning in the Iterated Prisoner's Dilemma. IEEE Trans. Evol. Comput. 13 (2) (2009)
Kay Chen Tan, Swee Chiang Chiam, Abdullah Al Mamun, Chi Keong Goh
Balancing exploration and exploitation with adaptive variation for evolutionary multi-objective optimization. Eur. J. Oper. Res. 197 (2) (2009)
Chi Keong Goh, Kay Chen Tan
A Competitive-Cooperative Coevolutionary Paradigm for Dynamic Multiobjective Optimization. IEEE Trans. Evol. Comput. 13 (1) (2009)
Chi Keong Goh, Eu Jin Teoh, Kay Chen Tan
A hybrid evolutionary approach for heterogeneous multiprocessor scheduling. Soft Comput. 13 (8-9) (2009)
Kay Chen Tan, Chi Keong Goh, Abdullah Al Mamun, E. Z. Ei
An evolutionary artificial immune system for multi-objective optimization. Eur. J. Oper. Res. 187 (2) (2008)
Kay Chen Tan, Chi Keong Goh
Handling Uncertainties in Evolutionary Multi-Objective Optimization. WCCI (2008)
Chi Keong Goh, Yew-Soon Ong, Kay Chen Tan, Eu Jin Teoh
An investigation on evolutionary gradient search for multi-objective optimization. IEEE Congress on Evolutionary Computation (2008)
Boyang Li, Yew-Soon Ong, Minh Nghia Le, Chi Keong Goh
Memetic Gradient Search. IEEE Congress on Evolutionary Computation (2008)
Swee Chiang Chiam, Kay Chen Tan, Chi Keong Goh, Abdullah Al Mamun
Improving Locality in Binary Representation via Redundancy. IEEE Trans. Syst. Man Cybern. Part B 38 (3) (2008)
D. S. Liu, Kay Chen Tan, S. Y. Huang, Chi Keong Goh, Weng Khuen Ho
On solving multiobjective bin packing problems using evolutionary particle swarm optimization. Eur. J. Oper. Res. 190 (2) (2008)
Chi Keong Goh, Eu Jin Teoh, Kay Chen Tan
Hybrid Multiobjective Evolutionary Design for Artificial Neural Networks. IEEE Trans. Neural Networks 19 (9) (2008)
Eu Jin Teoh, Kay Chen Tan, Huajin Tang, Cheng Xiang, Chi Keong Goh
An asynchronous recurrent linear threshold network approach to solving the traveling salesman problem. Neurocomputing 71 (7-9) (2008)
Chun Yew Cheong, Swee Chiang Chiam, Chi Keong Goh
Eliminating Positional Dependency in Binary Representation via Redundancy. FOCI (2007)
Hanyang Quek, Chi Keong Goh
Adaptation of Iterated Prisoner's Dilemma Strategies by Evolution and Learning. CIG (2007)
Ji Hua Ang, Chi Keong Goh, Eu Jin Teoh, Abdullah Al Mamun
Multi-objective evolutionary Recurrent Neural Networks for system identification. IEEE Congress on Evolutionary Computation (2007)
Chi Keong Goh, Kay Chen Tan, Chun Yew Cheong, Yew-Soon Ong
Noise-induced features in robust multi-objective optimization problems. IEEE Congress on Evolutionary Computation (2007)
Kay Chen Tan, Chun Yew Cheong, Chi Keong Goh
Solving multiobjective vehicle routing problem with stochastic demand via evolutionary computation. Eur. J. Oper. Res. 177 (2) (2007)
Chi Keong Goh, Kay Chen Tan, Arthur Tay
A Competitive-Cooperation Coevolutionary Paradigm for Multi-objective Optimization. ISIC (2007)
C. H. Tan, Chi Keong Goh, Kay Chen Tan, Arthur Tay
A cooperative coevolutionary algorithm for multiobjective particle swarm optimization. IEEE Congress on Evolutionary Computation (2007)
Dasheng Liu, Kay Chen Tan, Chi Keong Goh, Weng Khuen Ho
A Multiobjective Memetic Algorithm Based on Particle Swarm Optimization. IEEE Trans. Syst. Man Cybern. Part B 37 (1) (2007)
Chi Keong Goh, Kay Chen Tan
An Investigation on Noisy Environments in Evolutionary Multiobjective Optimization. IEEE Trans. Evol. Comput. 11 (3) (2007)
Kay Chen Tan, Chi Keong Goh, Y. J. Yang, Tong Heng Lee
Evolving better population distribution and exploration in evolutionary multi-objective optimization. Eur. J. Oper. Res. 171 (2) (2006)
Kay Chen Tan, Y. J. Yang, Chi Keong Goh
A distributed Cooperative coevolutionary algorithm for multiobjective optimization. IEEE Trans. Evol. Comput. 10 (5) (2006)
Dasheng Liu, Kay Chen Tan, Chi Keong Goh, Weng Khuen Ho
On Solving Multiobjective Bin Packing Problems Using Particle Swarm Optimization. IEEE Congress on Evolutionary Computation (2006)
Chi Keong Goh, Hanyang Quek, Kay Chen Tan, Hussein A. Abbass
Modeling Civil Violence: An Evolutionary Multi-Agent, Game Theoretic Approach. IEEE Congress on Evolutionary Computation (2006)
Chi Keong Goh, Kay Chen Tan
Noise Handling in Evolutionary Multi-Objective Optimization. IEEE Congress on Evolutionary Computation (2006)
Swee Chiang Chiam, Chi Keong Goh, Kay Chen Tan
Adequacy of Empirical Performance Assessment for Multiobjective Evolutionary Optimizer. EMO (2006)
Eu Jin Teoh, Swee Chiang Chiam, Chi Keong Goh, Kay Chen Tan
Adapting evolutionary dynamics of variation for multi-objective optimization. Congress on Evolutionary Computation (2005)
Chi Keong Goh, Hanyang Quek, Eu Jin Teoh, Kay Chen Tan
Evolution and incremental learning in the iterative prisoner's dilemma. Congress on Evolutionary Computation (2005)
Eik Fun Khor, Kay Chen Tan, Tong Heng Lee, Chi Keong Goh
A Study on Distribution Preservation Mechanism in Evolutionary Multi-Objective Optimization. Artif. Intell. Rev. 23 (1) (2005)
Kay Chen Tan, Y. J. Yang, Chi Keong Goh, Tong Heng Lee
Enhanced distribution and exploration for multiobjective evolutionary algorithms. IEEE Congress on Evolutionary Computation (2003)