Chi Keong Goh

Orcid: 0000-0002-4250-7307

According to our database1, Chi Keong Goh authored at least 72 papers between 2003 and 2020.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2020
Towards Automatic Blocking of Shapes using Evolutionary Algorithm.
Comput. Aided Des., 2020

2019
PolarViz: a discriminating visualization and visual analytics tool for high-dimensional data.
Vis. Comput., 2019

Feature Analysis of Marginalized Stacked Denoising Autoenconder for Unsupervised Domain Adaptation.
IEEE Trans. Neural Networks Learn. Syst., 2019

A General Domain Specific Feature Transfer Framework for Hybrid Domain Adaptation.
IEEE Trans. Knowl. Data Eng., 2019

Multiproblem Surrogates: Transfer Evolutionary Multiobjective Optimization of Computationally Expensive Problems.
IEEE Trans. Evol. Comput., 2019

2018
A Novel Time Series-Histogram of Features (TS-HoF) Method for Prognostic Applications.
IEEE Trans. Emerg. Top. Comput. Intell., 2018

Evolutionary Multi-task Learning for Modular Knowledge Representation in Neural Networks.
Neural Process. Lett., 2018

Co-evolutionary multi-task learning for dynamic time series prediction.
Appl. Soft Comput., 2018

Automatic Blocking of Shapes Using Evolutionary Algorithm.
Proceedings of the 27th International Meshing Roundtable, 2018

Data-Driven Fault Detection of Electrical Machine.
Proceedings of the 15th International Conference on Control, 2018

A Constrained Deep Neural Network for Ordinal Regression.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Multimodal Degradation Prognostics Based on Switching Kalman Filter Ensemble.
IEEE Trans. Neural Networks Learn. Syst., 2017

Evolutionary Cluster-Based Synthetic Oversampling Ensemble (ECO-Ensemble) for Imbalance Learning.
IEEE Trans. Cybern., 2017

Co-evolutionary multi-task learning with predictive recurrence for multi-step chaotic time series prediction.
Neurocomputing, 2017

Knowledge Transfer Through Machine Learning in Aircraft Design.
IEEE Comput. Intell. Mag., 2017

Data-Driven Inter-Turn Short Circuit Fault Detection in Induction Machines.
IEEE Access, 2017

A fast sparse reconstruction approach for high resolution image-based object surface anomaly detection.
Proceedings of the Fifteenth IAPR International Conference on Machine Vision Applications, 2017

Deep Ordinal Regression Based on Data Relationship for Small Datasets.
Proceedings of the Twenty-Sixth International Joint Conference on Artificial Intelligence, 2017

Source-Target Similarity Modelings for Multi-Source Transfer Gaussian Process Regression.
Proceedings of the 34th International Conference on Machine Learning, 2017

Domain Specific Feature Transfer for Hybrid Domain Adaptation.
Proceedings of the 2017 IEEE International Conference on Data Mining, 2017

Histogram equalization and specification for high-dimensional data visualization using RadViz.
Proceedings of the Computer Graphics International Conference, 2017

2016
Towards a new Praxis in optinformatics targeting knowledge re-use in evolutionary computation: simultaneous problem learning and optimization.
Evol. Intell., 2016

Learning from small data: A pairwise approach for ordinal regression.
Proceedings of the 2016 IEEE Symposium Series on Computational Intelligence, 2016

A time window neural network based framework for Remaining Useful Life estimation.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Deep Nonlinear Feature Coding for Unsupervised Domain Adaptation.
Proceedings of the Twenty-Fifth International Joint Conference on Artificial Intelligence, 2016

Evolutionary Multi-task Learning for Modular Training of Feedforward Neural Networks.
Proceedings of the Neural Information Processing - 23rd International Conference, 2016

Exploiting sparsity for image-based object surface anomaly detection.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

Pareto rank learning for multi-objective bi-level optimization: A study in composites manufacturing.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
An Agent-based Simulation System for Dynamic Project Scheduling and Online Disruption Resolving.
Proceedings of the 2015 International Conference on Autonomous Agents and Multiagent Systems, 2015

2014
An Efficient Co-processing Framework for Large-Scale Scientific Applications.
Proceedings of the IEEE 6th International Conference on Cloud Computing Technology and Science, 2014

2012
Computational intelligence optimisation in the presence of uncertainties.
Int. J. Syst. Sci., 2012

A data mining approach to evolutionary optimisation of noisy multi-objective problems.
Int. J. Syst. Sci., 2012

2011
Memetic informed evolutionary optimization via data mining.
Memetic Comput., 2011

A surrogate-assisted memetic co-evolutionary algorithm for expensive constrained optimization problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2011

2010
A predictive gradient strategy for multiobjective evolutionary algorithms in a fast changing environment.
Memetic Comput., 2010

An investigation on noise-induced features in robust evolutionary multi-objective optimization.
Expert Syst. Appl., 2010

A competitive and cooperative co-evolutionary approach to multi-objective particle swarm optimization algorithm design.
Eur. J. Oper. Res., 2010

2009
Evolutionary Multi-objective Optimization in Uncertain Environments - Issues and Algorithms
Studies in Computational Intelligence 186, Springer, ISBN: 978-3-540-95975-5, 2009

Evolution and Incremental Learning in the Iterated Prisoner's Dilemma.
IEEE Trans. Evol. Comput., 2009

A Competitive-Cooperative Coevolutionary Paradigm for Dynamic Multiobjective Optimization.
IEEE Trans. Evol. Comput., 2009

A hybrid evolutionary approach for heterogeneous multiprocessor scheduling.
Soft Comput., 2009

Balancing exploration and exploitation with adaptive variation for evolutionary multi-objective optimization.
Eur. J. Oper. Res., 2009

2008
Improving Locality in Binary Representation via Redundancy.
IEEE Trans. Syst. Man Cybern. Part B, 2008

Hybrid Multiobjective Evolutionary Design for Artificial Neural Networks.
IEEE Trans. Neural Networks, 2008

An asynchronous recurrent linear threshold network approach to solving the traveling salesman problem.
Neurocomputing, 2008

An evolutionary artificial immune system for multi-objective optimization.
Eur. J. Oper. Res., 2008

On solving multiobjective bin packing problems using evolutionary particle swarm optimization.
Eur. J. Oper. Res., 2008

Handling Uncertainties in Evolutionary Multi-Objective Optimization.
Proceedings of the Computational Intelligence: Research Frontiers, 2008

Memetic Gradient Search.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

An investigation on evolutionary gradient search for multi-objective optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

2007
Evolving the Tradeoffs between Pareto-Optimality and Robustness in Multi-Objective Evolutionary Algorithms.
Proceedings of the Evolutionary Computation in Dynamic and Uncertain Environments, 2007

A Multi-Objective Evolutionary Algorithm for Channel Routing Problems.
Proceedings of the Evolutionary Scheduling, 2007

Designing a Recurrent Neural Network-based Controller for Gyro-Mirror Line-of-Sight Stabilization System using an Artificial Immune Algorithm.
Proceedings of the Advances in Evolutionary Computing for System Design, 2007

A Multiobjective Memetic Algorithm Based on Particle Swarm Optimization.
IEEE Trans. Syst. Man Cybern. Part B, 2007

An Investigation on Noisy Environments in Evolutionary Multiobjective Optimization.
IEEE Trans. Evol. Comput., 2007

Solving multiobjective vehicle routing problem with stochastic demand via evolutionary computation.
Eur. J. Oper. Res., 2007

Eliminating Positional Dependency in Binary Representation via Redundancy.
Proceedings of the IEEE Symposium on Foundations of Computational Intelligence, 2007

Adequacy of Empirical Performance Assessment for Multiobjective Evolutionary Optimizer.
Proceedings of the Evolutionary Multi-Criterion Optimization, 4th International Conference, 2007

Adaptation of Iterated Prisoner's Dilemma Strategies by Evolution and Learning.
Proceedings of the 2007 IEEE Symposium on Computational Intelligence and Games, 2007

A cooperative coevolutionary algorithm for multiobjective particle swarm optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

Noise-induced features in robust multi-objective optimization problems.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

Multi-objective evolutionary Recurrent Neural Networks for system identification.
Proceedings of the IEEE Congress on Evolutionary Computation, 2007

A Competitive-Cooperation Coevolutionary Paradigm for Multi-objective Optimization.
Proceedings of the 22nd IEEE International Symposium on Intelligent Control, 2007

2006
A distributed Cooperative coevolutionary algorithm for multiobjective optimization.
IEEE Trans. Evol. Comput., 2006

Evolving better population distribution and exploration in evolutionary multi-objective optimization.
Eur. J. Oper. Res., 2006

On Solving Multiobjective Bin Packing Problems Using Particle Swarm Optimization.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

Noise Handling in Evolutionary Multi-Objective Optimization.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

Modeling Civil Violence: An Evolutionary Multi-Agent, Game Theoretic Approach.
Proceedings of the IEEE International Conference on Evolutionary Computation, 2006

2005
A Study on Distribution Preservation Mechanism in Evolutionary Multi-Objective Optimization.
Artif. Intell. Rev., 2005

Adapting evolutionary dynamics of variation for multi-objective optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005

Evolution and incremental learning in the iterative prisoner's dilemma.
Proceedings of the IEEE Congress on Evolutionary Computation, 2005

2003
Enhanced distribution and exploration for multiobjective evolutionary algorithms.
Proceedings of the IEEE Congress on Evolutionary Computation, 2003


  Loading...