Raymond Chiong
Orcid: 0000-0002-8285-1903Affiliations:
- University of Newcastle, Callaghan, NSW, Australia
According to our database1,
Raymond Chiong
authored at least 158 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
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
Expert Syst. Appl., 2022
A fuzzy-weighted Gaussian kernel-based machine learning approach for body fat prediction.
Appl. Intell., 2022
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
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
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
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
Comput. Methods Programs Biomed., 2021
An Evolutionary Game Model for Understanding Fraud in Consumption Taxes [Research Frontier].
IEEE Comput. Intell. Mag., 2021
Comput. Biol. Medicine, 2021
A textual-based featuring approach for depression detection using machine learning classifiers and social media texts.
Comput. Biol. Medicine, 2021
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
Neurocomputing, 2020
Expert Syst. Appl., 2020
A multi-population, multi-objective memetic algorithm for energy-efficient job-shop scheduling with deteriorating machines.
Expert Syst. Appl., 2020
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
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
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
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
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
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
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
Int. J. Comput. Intell. Syst., 2017
Expert Syst. Appl., 2017
Eur. J. Oper. Res., 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
Proceedings of the 2017 IEEE Congress on Evolutionary Computation, 2017
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
Eur. J. Oper. Res., 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
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
Proceedings of the Bio-Inspired Computing - Theories and Applications, 2015
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
Proceedings of the 14th IEEE International Conference on Cognitive Informatics & Cognitive Computing, 2015
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
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
Proceedings of the IEEE Symposium on Computational Intelligence In Production And Logistics Systems, 2013
Proceedings of the IEEE Symposium on Computational Intelligence and Data Mining, 2013
2012
IEEE Trans. Evol. Comput., 2012
Collaborative Learning in Online Study Groups: An Evolutionary Game Theory Perspective.
J. Inf. Technol. Educ. Res., 2012
Proceedings of the IEEE Congress on Evolutionary Computation, 2012
Proceedings of the Variants of Evolutionary Algorithms for Real-World Applications, 2012
2011
Proceedings of the Encyclopedia of Knowledge Management, Second Edition, 2011
Int. J. Organ. Collect. Intell., 2011
Novel evolutionary algorithms for supervised classification problems: an experimental study.
Evol. Intell., 2011
Proceedings of the 13th Annual Genetic and Evolutionary Computation Conference, 2011
Proceedings of the Applications of Evolutionary Computation, 2011
2010
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
Proceedings of the AI 2010: Advances in Artificial Intelligence, 2010
Proceedings of the 9th International Conference on Autonomous Agents and Multiagent Systems (AAMAS 2010), 2010
Proceedings of the 9th IEEE International Conference on Cognitive Informatics, 2010
Proceedings of the Nature-Inspired Informatics for Intelligent Applications and Knowledge Discovery: Implications in Business, 2010
Proceedings of the Intelligent Systems for Automated Learning and Adaptation: Emerging Trends and Applications, 2010
2009
Proceedings of the Nature-Inspired Algorithms for Optimisation, 2009
Proceedings of the Encyclopedia of Artificial Intelligence (3 Volumes), 2009
Proceedings of the First International Conference of Soft Computing and Pattern Recognition, 2009
Proceedings of the First International Conference of Soft Computing and Pattern Recognition, 2009
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
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
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
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
Proceedings of the Computational Science and Its Applications, 2007
2006
Proceedings of the Firth IEEE International Conference on Cognitive Informatics, 2006