Raymond Chiong

Orcid: 0000-0002-8285-1903

Affiliations:
  • University of Newcastle, Callaghan, NSW, Australia


According to our database1, Raymond Chiong authored at least 162 papers between 2006 and 2024.

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Bibliography

2024
A Metaheuristic Framework for Energy-Intensive Industries With Batch Processing Machines.
IEEE Trans. Engineering Management, 2024

The dilemma of introducing blockchain technology into an assembly supply chain: A double-edged sword of profit and upstream invasion.
Comput. Ind. Eng., 2024

Adoption of Remote Patient Monitoring Based on the Internet of Medical Things.
Proceedings of the 28th Pacific Asia Conference on Information Systems, 2024

An Optimised Light Gradient Boosting Machine Model for Setup Time Prediction in Electronic Production Lines.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2024

An Improved Prescriptive Tree-Based Model for Stochastic Parallel Machine Scheduling.
Proceedings of the AI 2024: Advances in Artificial Intelligence, 2024

2023
A-BEBLID: A Hybrid Image Registration Method for Lithium-Ion Battery Cover Screen Printing.
IEEE Trans. Ind. Informatics, October, 2023

A Novel Ensemble Learning Approach for Stock Market Prediction Based on Sentiment Analysis and the Sliding Window Method.
IEEE Trans. Comput. Soc. Syst., October, 2023

A fuzzy adaptive metaheuristic algorithm for identifying sustainable, economical, and earthquake-resistant reinforced concrete cantilever retaining walls.
J. Comput. Sci., June, 2023

Identifying digital capabilities in university courses: An automated machine learning approach.
Educ. Inf. Technol., April, 2023

A Multi-type Classifier Ensemble for Detecting Fake Reviews Through Textual-based Feature Extraction.
ACM Trans. Internet Techn., 2023

A fuzzy adaptive evolutionary-based feature selection and machine learning framework for single and multi-objective body fat prediction.
CoRR, 2023

A fuzzy adaptive metaheuristic algorithm for identifying sustainable, economical, lightweight, and earthquake-resistant reinforced concrete cantilever retaining walls.
CoRR, 2023

2022
Understanding the Importance of Cultural Appropriateness for User Interface Design: An Avatar Study.
ACM Trans. Comput. Hum. Interact., December, 2022

A Distributionally Robust Scheduling Approach for Uncertain Steelmaking and Continuous Casting Processes.
IEEE Trans. Syst. Man Cybern. Syst., 2022

Multiobjective Optimization of Energy-Efficient JOB-Shop Scheduling With Dynamic Reference Point-Based Fuzzy Relative Entropy.
IEEE Trans. Ind. Informatics, 2022

A multi-method analytical approach to predicting young adults' intention to invest in mHealth during the COVID-19 pandemic.
Telematics Informatics, 2022

A two-stage memetic algorithm for energy-efficient flexible job shop scheduling by means of decreasing the total number of machine restarts.
Swarm Evol. Comput., 2022

A multiobjective evolutionary algorithm for achieving energy efficiency in production environments integrated with multiple automated guided vehicles.
Knowl. Based Syst., 2022

Evolution of trust in the sharing economy with fixed provider and consumer roles under different host network structures.
Knowl. Based Syst., 2022

A dynamic constraint representation approach based on cross-domain dictionary learning for expression recognition.
J. Vis. Commun. Image Represent., 2022

Energy-efficient open-shop scheduling with multiple automated guided vehicles and deteriorating jobs.
J. Ind. Inf. Integr., 2022

A novel hybrid fuzzy-metaheuristic approach for multimodal single and multi-objective optimization problems.
Expert Syst. Appl., 2022

A fuzzy-based ensemble model for improving malicious web domain identification.
Expert Syst. Appl., 2022

A fuzzy-weighted Gaussian kernel-based machine learning approach for body fat prediction.
Appl. Intell., 2022

Playing a Multi-action, Adversarial Game in a Dynamic Environment.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2022

Designing Deep Convolutional Neural Networks using a Genetic Algorithm for Image-based Malware Classification.
Proceedings of the IEEE Congress on Evolutionary Computation, 2022

2021
Deep Learning for Human Affect Recognition: Insights and New Developments.
IEEE Trans. Affect. Comput., 2021

Understanding the dynamics of inter-provincial migration in the Mekong Delta, Vietnam: an agent-based modeling study.
Simul., 2021

Resampling imbalanced data to detect fake reviews using machine learning classifiers and textual-based features.
Multim. Tools Appl., 2021

A fuzzy-weighted approach for malicious web domain identification.
J. Intell. Fuzzy Syst., 2021

A hybrid differential evolution algorithm for parallel machine scheduling of lace dyeing considering colour families, sequence-dependent setup and machine eligibility.
Int. J. Prod. Res., 2021

Predicting the printed circuit board cycle time of surface-mount-technology production lines using a symbiotic organism search-based support vector regression ensemble.
Int. J. Prod. Res., 2021

Combining Sentiment Lexicons and Content-Based Features for Depression Detection.
IEEE Intell. Syst., 2021

Using a hybrid content-based and behaviour-based featuring approach in a parallel environment to detect fake reviews.
Electron. Commer. Res. Appl., 2021

Energy-efficient production scheduling through machine on/off control during preventive maintenance.
Eng. Appl. Artif. Intell., 2021

An Evolutionary Game Model for Understanding Fraud in Consumption Taxes.
CoRR, 2021

Using an improved relative error support vector machine for body fat prediction.
Comput. Methods Programs Biomed., 2021

An Evolutionary Game Model for Understanding Fraud in Consumption Taxes [Research Frontier].
IEEE Comput. Intell. Mag., 2021

Deep sequence modelling for Alzheimer's disease detection using MRI.
Comput. Biol. Medicine, 2021

A textual-based featuring approach for depression detection using machine learning classifiers and social media texts.
Comput. Biol. Medicine, 2021

Optimising the job-shop scheduling problem using a multi-objective Jaya algorithm.
Appl. Soft Comput., 2021

Live Stream Influencer Marketing on Consumers' Offline Purchase Intention: A Quantitative Study.
Proceedings of the 25th Pacific Asia Conference on Information Systems, 2021

Predicting Psychological Distress from Ecological Factors: A Machine Learning Approach.
Proceedings of the Advances and Trends in Artificial Intelligence. Artificial Intelligence Practices, 2021

2020
Deep subspace learning for expression recognition driven by a two-phase representation classifier.
Signal Image Video Process., 2020

Self-adaptive feature learning based on a priori knowledge for facial expression recognition.
Knowl. Based Syst., 2020

A memetic algorithm for multi-objective distributed production scheduling: minimizing the makespan and total energy consumption.
J. Intell. Manuf., 2020

Critical Factors Influencing the Intention to Adopt m-Government Services by the Elderly.
J. Glob. Inf. Manag., 2020

Remanufacturing-oriented process planning and scheduling: mathematical modelling and evolutionary optimisation.
Int. J. Prod. Res., 2020

A hybrid artificial bee colony algorithm for flexible job shop scheduling with worker flexibility.
Int. J. Prod. Res., 2020

A multi-layer fuzzy model based on fuzzy-rule clustering for prediction tasks.
Neurocomputing, 2020

Energy-efficient flexible flow shop scheduling with worker flexibility.
Expert Syst. Appl., 2020

A multi-population, multi-objective memetic algorithm for energy-efficient job-shop scheduling with deteriorating machines.
Expert Syst. Appl., 2020

Identification of phishing websites through hyperlink analysis and rule extraction.
Electron. Libr., 2020

A new iterated greedy algorithm for no-idle permutation flowshop scheduling with the total tardiness criterion.
Comput. Oper. Res., 2020

Deep learning to detect Alzheimer's disease from neuroimaging: A systematic literature review.
Comput. Methods Programs Biomed., 2020

Multi-level particle swarm optimisation and its parallel version for parameter optimisation of ensemble models: a case of sentiment polarity prediction.
Clust. Comput., 2020

Exploring the design of avatars for users from Arabian culture through a hybrid approach of deductive and inductive reasoning.
Comput. Hum. Behav., 2020

A modified genetic algorithm for non-emergency outpatient appointment scheduling with highly demanded medical services considering patient priorities.
Comput. Ind. Eng., 2020

Climate change induced migration and the evolution of cooperation.
Appl. Math. Comput., 2020

Using Evolutionary Game Theory to Study Behavioral Strategies of the Government and Carriers Under Different Transshipment Modes.
IEEE Access, 2020

Introducing Transfer Leaming to 3D ResNet-18 for Alzheimer's Disease Detection on MRI Images.
Proceedings of the 35th International Conference on Image and Vision Computing New Zealand, 2020

2019
An effective memetic algorithm for multi-objective job-shop scheduling.
Knowl. Based Syst., 2019

A two-stage structural equation modeling-neural network approach for understanding and predicting the determinants of m-government service adoption.
J. Syst. Inf. Technol., 2019

A two-layer Wang-Mendel fuzzy approach for predicting the residuary resistance of sailing yachts.
J. Intell. Fuzzy Syst., 2019

Implementation issues in optimization algorithms: do they matter?
J. Exp. Theor. Artif. Intell., 2019

Contract Farming in the Mekong Delta's Rice Supply Chain: Insights from an Agent-Based Modeling Study.
J. Artif. Soc. Soc. Simul., 2019

Acceptance and use predictors of fitness wearable technology and intention to recommend.
Ind. Manag. Data Syst., 2019

Malicious web domain identification using online credibility and performance data by considering the class imbalance issue.
Ind. Manag. Data Syst., 2019

Distributionally robust single machine scheduling with the total tardiness criterion.
Comput. Oper. Res., 2019

Effects of update rules on networked <i>N</i>-player trust game dynamics.
Commun. Nonlinear Sci. Numer. Simul., 2019

Supply Chain Coordination with a Risk-Averse Retailer and a Combined Buy-Back and Revenue Sharing Contract.
Asia Pac. J. Oper. Res., 2019

Avatars and Embodied Agents in Experimental Information Systems Research: A Systematic Review and Conceptual Framework.
Australas. J. Inf. Syst., 2019

Financial Market Forecasting using Online Information: Research Stream Analysis based on Citation Network.
Proceedings of the 17th International Conference on Scientometrics and Informetrics, 2019

Agent-based Modeling of Migration Dynamics in the Mekong Delta, Vietnam: Automated Calibration Using a Genetic Algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

A Regional Multi-Objective Tabu Search Algorithm for a Green Heterogeneous Dial-A-Ride Problem.
Proceedings of the IEEE Congress on Evolutionary Computation, 2019

2018
A Networked N-Player Trust Game and Its Evolutionary Dynamics.
IEEE Trans. Evol. Comput., 2018

An adaptive weighted fusion model with two subspaces for facial expression recognition.
Signal Image Video Process., 2018

Combining the Kernel Collaboration Representation and Deep Subspace Learning for Facial Expression Recognition.
J. Circuits Syst. Comput., 2018

Robust single machine scheduling with uncertain release times for minimising the maximum waiting time.
Int. J. Prod. Res., 2018

An extended dictionary representation approach with deep subspace learning for facial expression recognition.
Neurocomputing, 2018

Remote heart rate measurement using low-cost RGB face video: a technical literature review.
Frontiers Comput. Sci., 2018

A PSO-Based Ensemble Model for Peer-to-Peer Credit Scoring.
Proceedings of the 14th International Conference on Natural Computation, 2018

A sentiment analysis-based machine learning approach for financial market prediction via news disclosures.
Proceedings of the Genetic and Evolutionary Computation Conference Companion, 2018

Using Deep Learning and 360 Video to Detect Eating Behavior for User Assistance Systems.
Proceedings of the 26th European Conference on Information Systems: Beyond Digitization, 2018

2017
Profit guided or statistical error guided? a study of stock index forecasting using support vector regression.
J. Syst. Sci. Complex., 2017

Interdisciplinary Research of Network Science and Computational Intelligence.
Int. J. Comput. Intell. Syst., 2017

An unsupervised multilingual approach for online social media topic identification.
Expert Syst. Appl., 2017

Distributionally robust single machine scheduling with risk aversion.
Eur. J. Oper. Res., 2017

Effects of update rules on networked N-player trust game dynamics.
CoRR, 2017

Multilingual sentiment analysis: from formal to informal and scarce resource languages.
Artif. Intell. Rev., 2017

Multi-objective optimization of single machine scheduling with energy consumption constraints.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

A hybrid particle swarm optimisation approach for energy-efficient single machine scheduling with cumulative deterioration and multiple maintenances.
Proceedings of the 2017 IEEE Symposium Series on Computational Intelligence, 2017

Empathic Avatars in Stroke Rehabilitation: A Co-designed mHealth Artifact for Stroke Survivors.
Proceedings of the Designing the Digital Transformation - 12th International Conference, 2017

An evolutionary trust game for the sharing economy.
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017

Designing Persuasive Avatars in mHealth for Arabic Culture: A Qualitative Study.
Proceedings of the Australasian Conference on Information Systems, 2017

2016
Parallel Machine Scheduling Under Time-of-Use Electricity Prices: New Models and Optimization Approaches.
IEEE Trans Autom. Sci. Eng., 2016

A multilingual semi-supervised approach in deriving Singlish sentic patterns for polarity detection.
Knowl. Based Syst., 2016

Global versus local search: the impact of population sizes on evolutionary algorithm performance.
J. Glob. Optim., 2016

Investigating the Critical Success Factors for Implementing Electronic Document Management Systems in Governments: Evidence From Jordan.
Inf. Syst. Manag., 2016

Sustainable scheduling of manufacturing and transportation systems.
Eur. J. Oper. Res., 2016

Ranking of high-value social audiences on Twitter.
Decis. Support Syst., 2016

Selecting Physiological Features for Predicting Bidding Behavior in Electronic Auctions.
Proceedings of the 49th Hawaii International Conference on System Sciences, 2016

Identifying malicious web domains using machine learning techniques with online credibility and performance data.
Proceedings of the IEEE Congress on Evolutionary Computation, 2016

2015
Introduction to the special issue of the Journal of Systems and Information Technology on Business Intelligence.
J. Syst. Inf. Technol., 2015

The role of technology in the management and exploitation of internal business intelligence.
J. Syst. Inf. Technol., 2015

Suboptimal business intelligence implementations: understanding and addressing the problems.
J. Syst. Inf. Technol., 2015

Forecasting interval time series using a fully complex-valued RBF neural network with DPSO and PSO algorithms.
Inf. Sci., 2015

An alternative way of presenting statistical test results when evaluating the performance of stochastic approaches.
Neurocomputing, 2015

Customer empowerment: Does it influence electronic government success? A citizen-centric perspective.
Electron. Commer. Res. Appl., 2015

Hybrid filter-wrapper feature selection for short-term load forecasting.
Eng. Appl. Artif. Intell., 2015

Promotion of cooperation in social dilemma games via generalised indirect reciprocity.
Connect. Sci., 2015

A balance-evolution artificial bee colony algorithm for protein structure optimization based on a three-dimensional AB off-lattice model.
Comput. Biol. Chem., 2015

An improved iterated greedy algorithm with a Tabu-based reconstruction strategy for the no-wait flowshop scheduling problem.
Appl. Soft Comput., 2015

Hybrid PACO with Enhanced Pheromone Initialization for Solving the Vehicle Routing Problem with Time Windows.
Proceedings of the IEEE Symposium Series on Computational Intelligence, 2015

An Investigation of Hybrid Tabu Search for the Traveling Salesman Problem.
Proceedings of the Bio-Inspired Computing - Theories and Applications, 2015

Hybrid Ejection Chain Methods for the Traveling Salesman Problem.
Proceedings of the Bio-Inspired Computing - Theories and Applications, 2015

Use of a High-Value Social Audience Index for Target Audience Identification on Twitter.
Proceedings of the Artificial Life and Computational Intelligence, 2015

Local search for the Traveling Salesman Problem: A comparative study.
Proceedings of the 14th IEEE International Conference on Cognitive Informatics & Cognitive Computing, 2015

2014
Analysis of Phishing Attacks and Countermeasures.
CoRR, 2014

Benchmarking Optimization Algorithms: An Open Source Framework for the Traveling Salesman Problem.
IEEE Comput. Intell. Mag., 2014

A two-layer optimization framework for UAV path planning with interval uncertainties.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence in Production and Logistics Systems, 2014

Comparing a hybrid branch and bound algorithm with evolutionary computation methods, local search and their hybrids on the TSP.
Proceedings of the 2014 IEEE Symposium on Computational Intelligence in Production and Logistics Systems, 2014

Search-evasion path planning for submarines using the Artificial Bee Colony algorithm.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

2013
Dynamic Function Optimization: The Moving Peaks Benchmark.
Proceedings of the Metaheuristics for Dynamic Optimization, 2013

A Multi-agent Based Migration Model for Evolving Cooperation in the Spatial N-Player Snowdrift Game.
Proceedings of the PRIMA 2013: Principles and Practice of Multi-Agent Systems, 2013

SDGP: A developmental approach for traveling salesman problems.
Proceedings of the IEEE Symposium on Computational Intelligence In Production And Logistics Systems, 2013

GPU-accelerated eXtended Classifier System.
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2013

2012
Effects of Iterated Interactions in Multiplayer Spatial Evolutionary Games.
IEEE Trans. Evol. Comput., 2012

Collaborative Learning in Online Study Groups: An Evolutionary Game Theory Perspective.
J. Inf. Technol. Educ. Res., 2012

Evolutionary Optimization: Pitfalls and Booby Traps.
J. Comput. Sci. Technol., 2012

Nature That Breeds Solutions.
Int. J. Signs Semiot. Syst., 2012

Local search for real-world scheduling and planning.
Eng. Appl. Artif. Intell., 2012

The evolution of cooperation via stigmergic interactions.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

Evolutionary Optimization.
Proceedings of the Variants of Evolutionary Algorithms for Real-World Applications, 2012

2011
Business Intelligence.
Proceedings of the Encyclopedia of Knowledge Management, Second Edition, 2011

A Novel Extremal Optimization Approach for the Template Design Problem.
Int. J. Organ. Collect. Intell., 2011

Novel evolutionary algorithms for supervised classification problems: an experimental study.
Evol. Intell., 2011

Special issue on modern search heuristics and applications.
Evol. Intell., 2011

Iterated n-player games on small-world networks.
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011

A Framework for Multi-model EDAs with Model Recombination.
Proceedings of the Applications of Evolutionary Computation, 2011

2010
Dynamic function optimisation with hybridised extremal dynamics.
Memetic Comput., 2010

Imitation vs evolution: Analysing the effects of strategy update mechanisms in N-player social dilemmas.
Proceedings of the IEEE Congress on Evolutionary Computation, 2010

Evolving Cooperation in the Spatial N-player Snowdrift Game.
Proceedings of the AI 2010: Advances in Artificial Intelligence, 2010

Co-evolution of agent strategies in N-player dilemmas.
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2010), 2010

Evolutionary data mining approaches for rule-based and tree-based classifiers.
Proceedings of the 9th IEEE International Conference on Cognitive Informatics, 2010

Nature that Breeds Solutions.
Proceedings of the Nature-Inspired Informatics for Intelligent Applications and Knowledge Discovery: Implications in Business, 2010

Evolutionary Approaches and Their Applications to Distributed Systems.
Proceedings of the Intelligent Systems for Automated Learning and Adaptation: Emerging Trends and Applications, 2010

2009
Why Is Optimization Difficult?.
Proceedings of the Nature-Inspired Algorithms for Optimisation, 2009

Teaching Machines to Find Names.
Proceedings of the Encyclopedia of Artificial Intelligence (3 Volumes), 2009

An Intelligent Real-Time Communication Assistant for the Disabled.
Proceedings of the First International Conference of Soft Computing and Pattern Recognition, 2009

Template Design Using Extremal Optimization with Multiple Search Operators.
Proceedings of the First International Conference of Soft Computing and Pattern Recognition, 2009

A Hooke-Jeeves Based Memetic Algorithm for Solving Dynamic Optimisation Problems.
Proceedings of the Hybrid Artificial Intelligence Systems, 4th International Conference, 2009

Co-evolutionary Learning in the N-player Iterated Prisoner's Dilemma with a Structured Environment.
Proceedings of the Artificial Life: Borrowing from Biology, 4th Australian Conference, 2009

2008
Learning game strategy design through iterated Prisoner's Dilemma.
Int. J. Comput. Appl. Technol., 2008

A selective mutation based evolutionary programming for solving Cutting Stock Problem without contiguity.
Proceedings of the IEEE Congress on Evolutionary Computation, 2008

Modelling Database Security through Agent-Based Simulation.
Proceedings of the Second Asia International Conference on Modelling and Simulation, 2008

A Novel Approach for Intelligent Route Finding through Cumulative Proximity Evaluation.
Proceedings of the Second Asia International Conference on Modelling and Simulation, 2008

2007
A Comparison between Genetic Algorithms and Evolutionary Programming based on Cutting Stock Problem.
Eng. Lett., 2007

Applying genetic algorithms to economy market using iterated prisoner's dilemma.
Proceedings of the 2007 ACM Symposium on Applied Computing (SAC), 2007

Effects of Neighbourhood Structure on Evolution of Cooperation in N-Player Iterated Prisoner's Dilemma.
Proceedings of the Intelligent Data Engineering and Automated Learning, 2007

Modelling Agent Strategies in Simulated Market Using Iterated Prisoner's Dilemma.
Proceedings of the Computational Science and Its Applications, 2007

2006
Named Entity Recognition Using Hybrid Machine Learning Approach.
Proceedings of the Firth IEEE International Conference on Cognitive Informatics, 2006


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