Yukun Bao
Orcid: 0000-0001-5418-8799
According to our database1,
Yukun Bao
authored at least 77 papers
between 2004 and 2024.
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Bibliography
2024
Three-way group consensus method based on probabilistic linguistic preference relations with acceptable inconsistency.
Inf. Fusion, March, 2024
Three-way group consensus with experts' attitudes based on probabilistic linguistic preference relations.
Inf. Sci., February, 2024
2023
Investigating the Mediating Effect of Business-IT Alignment between Management of IT Investment and Firm Performance.
Inf. Syst. Manag., July, 2023
Application-based mobile payment systems: continuance intention and intention to recommend.
Int. J. Mob. Commun., 2023
2022
A multi-method analytical approach to predicting young adults' intention to invest in mHealth during the COVID-19 pandemic.
Telematics Informatics, 2022
Forecasting of stock price index using support vector regression with multivariate empirical mode decomposition.
J. Syst. Inf. Technol., 2022
Exploring the impact of ICT usage among indigenous people and their quality of life: operationalizing Sen's capability approach.
Inf. Technol. Dev., 2022
Multi-step-ahead stock price index forecasting using long short-term memory model with multivariate empirical mode decomposition.
Inf. Sci., 2022
Positive and negative valences, personal innovativeness and intention to use facial recognition for payments.
Ind. Manag. Data Syst., 2022
A novel MDPSO-SVR hybrid model for feature selection in electricity consumption forecasting.
CoRR, 2022
A mixed-method approach to assess users' intention to use mobile health (mHealth) using PLS-SEM and fsQCA.
Aslib J. Inf. Manag., 2022
2021
DenseNet Convolutional Neural Networks Application for Predicting COVID-19 Using CT Image.
SN Comput. Sci., 2021
Continued use intention of wearable health technologies among the elderly: an enablers and inhibitors perspective.
Internet Res., 2021
Error-feedback stochastic modeling strategy for time series forecasting with convolutional neural networks.
Neurocomputing, 2021
Multivariate Empirical Mode Decomposition based Hybrid Model for Day-ahead Peak Load Forecasting.
CoRR, 2021
Comprehensive learning particle swarm optimization enabled modeling framework for multi-step-ahead influenza prediction.
Appl. Soft Comput., 2021
2020
Critical Factors Influencing the Intention to Adopt m-Government Services by the Elderly.
J. Glob. Inf. Manag., 2020
IT strategy and business strategy mediate the effect of managing IT on firm performance: empirical analysis.
J. Enterp. Inf. Manag., 2020
Understanding cloud computing success and its impact on firm performance: an integrated approach.
Ind. Manag. Data Syst., 2020
Electron. Libr., 2020
Error-feedback Stochastic Configuration Strategy on Convolutional Neural Networks for Time Series Forecasting.
CoRR, 2020
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
The role of usability on e-learning user interactions and satisfaction: a literature review.
J. Syst. Inf. Technol., 2019
How does business-IT strategic alignment dimension impact on organizational performance measures.
J. Enterp. Inf. Manag., 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
Factors affecting post-implementation success of enterprise resource planning systems: a perspective of business process performance.
Enterp. Inf. Syst., 2019
What obstruct customer acceptance of internet banking? Security and privacy, risk, trust and website usability and the role of moderators.
CoRR, 2019
Investigating factors affecting learners perception toward online learning evidence from ClassStart application in Thailand.
CoRR, 2019
Investigating factors affecting learner's perception toward online learning: evidence from ClassStart application in Thailand.
Behav. Inf. Technol., 2019
IEEE Access, 2019
Feature Map Alignment: Towards Efficient Design of Mixed-precision Quantization Scheme.
Proceedings of the 2019 IEEE Visual Communications and Image Processing, 2019
An effective feature representation of web log data by leveraging byte pair encoding and TF-IDF.
Proceedings of the ACM Turing Celebration Conference - China, 2019
2018
Integrating UTAUT and UGT to explain behavioural intention to use M-learning: A developing country's perspective.
J. Syst. Inf. Technol., 2018
Mediating role of managing information technology and its impact on firm performance: Insight from China.
Ind. Manag. Data Syst., 2018
Seasonal forecasting of agricultural commodity price using a hybrid STL and ELM method: Evidence from the vegetable market in China.
Neurocomputing, 2018
Proceedings of the 14th International Conference on Natural Computation, 2018
2017
Profit guided or statistical error guided? a study of stock index forecasting using support vector regression.
J. Syst. Sci. Complex., 2017
Investigating the determinants of Chinese adult children's intention to use online health information for their aged parents.
Int. J. Medical Informatics, 2017
2016
Investigating the Critical Success Factors for Implementing Electronic Document Management Systems in Governments: Evidence From Jordan.
Inf. Syst. Manag., 2016
Predicting Adult Children's Decisions to Use Online Elderly Health Information for Their Aged Parents.
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
A combination method for interval forecasting of agricultural commodity futures prices.
Knowl. Based Syst., 2015
The impact of business intelligence on organization's effectiveness: an empirical study.
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
Eng. Appl. Artif. Intell., 2015
2014
IEEE Trans. Cybern., 2014
Multiple-output support vector regression with a firefly algorithm for interval-valued stock price index forecasting.
Knowl. Based Syst., 2014
Does restraining end effect matter in EMD-based modeling framework for time series prediction? Some experimental evidences.
Neurocomputing, 2014
Multi-step-ahead time series prediction using multiple-output support vector regression.
Neurocomputing, 2014
Interval Forecasting of Electricity Demand: A Novel Bivariate EMD-based Support Vector Regression Modeling Framework.
CoRR, 2014
Beyond One-Step-Ahead Forecasting: Evaluation of Alternative Multi-Step-Ahead Forecasting Models for Crude Oil Prices.
CoRR, 2014
Can Online MBA Programs Allow Professional Working Mothers to Balance Work, Family, and Career Progression? A Case Study in China.
CoRR, 2014
Perceptions of International Female Students Towards E-learning in Resolving High Education and Family Role Strain.
CoRR, 2014
Exploring gender differences on general and specific computer self-efficacy in mobile learning adoption.
CoRR, 2014
Comprehensive learning particle swarm optimization based memetic algorithm for model selection in short-term load forecasting using support vector regression.
Appl. Soft Comput., 2014
Proceedings of the Seventh International Joint Conference on Computational Sciences and Optimization, 2014
Proceedings of the Seventh International Joint Conference on Computational Sciences and Optimization, 2014
Partial opposition-based adaptive differential evolution algorithms: Evaluation on the CEC 2014 benchmark set for real-parameter optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014
2013
Neurocomputing, 2013
2012
Proceedings of the Fifth International Joint Conference on Computational Sciences and Optimization, 2012
2011
Hybrid Decomposition and Ensemble Framework for Stock Price Forecasting: a Comparative Study.
Adv. Data Sci. Adapt. Anal., 2011
2010
Forecasting erratic demand by support vector machines with ensemble empirical mode decomposition.
Proceedings of the 3rd International Conference on Information Sciences and Interaction Sciences (ICIS 2010), 2010
2008
Foreign Exchange Rates Forecasting with Multilayer Perceptrons Neural Network by Bayesian Learning.
Proceedings of the Fourth International Conference on Natural Computation, 2008
2006
Proceedings of the PRICAI 2006: Trends in Artificial Intelligence, 2006
Proceedings of the Advances in Applied Artificial Intelligence, 2006
Proceedings of the Intelligent Data Engineering and Automated Learning, 2006
The Criticality of Spare Parts Evaluating Model Using Artificial Neural Network Approach.
Proceedings of the Computational Science, 2006
Comparisons of the Different Frequencies of Input Data for Neural Networks in Foreign Exchange Rates Forecasting.
Proceedings of the Computational Science, 2006
A New Computational Method of Input Selection for Stock Market Forecasting with Neural Networks.
Proceedings of the Computational Science, 2006
Proceedings of the Fuzzy Systems and Knowledge Discovery, Third International Conference, 2006
2005
Proceedings of the Rough Sets, 2005
Proceedings of the 7th International Conference on Electronic Commerce, 2005
2004
Proceedings of the IEEE International Conference on Systems, 2004
Proceedings of the Artificial Intelligence: Methodology, 2004