Lean Yu
Orcid: 0000-0002-8035-4938
According to our database1,
Lean Yu
authored at least 144 papers
between 2004 and 2024.
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Bibliography
2024
Consumer credit risk assessment: A review from the state-of-the-art classification algorithms, data traits, and learning methods.
Expert Syst. Appl., March, 2024
Three-stage research framework to assess and predict the financial risk of SMEs based on hybrid method.
Decis. Support Syst., February, 2024
2023
AI-Based Optimal Treatment Strategy Selection for Female Infertility for First and Subsequent IVF-ET Cycles.
J. Medical Syst., December, 2023
Inf. Sci., October, 2023
A shapelet-based behavioral pattern extraction method for credit risk classification with behavior sparsity.
Adv. Eng. Informatics, October, 2023
A case-based reasoning driven ensemble learning paradigm for financial distress prediction with missing data.
Appl. Soft Comput., April, 2023
J. Knowl. Manag., 2023
Forecasting crude oil risk: A multiscale bidirectional generative adversarial network based approach.
Expert Syst. Appl., 2023
Two-Stage Portfolio Optimization Integrating Optimal Sharp Ratio Measure and Ensemble Learning.
IEEE Access, 2023
IEEE Access, 2023
2022
An extreme bias-penalized forecast combination approach to commodity price forecasting.
Inf. Sci., 2022
Trajectory prediction for heterogeneous traffic-agents using knowledge correction data-driven model.
Inf. Sci., 2022
Guest editorial: Big data-driven analytics for smart cities: technology-based insight.
Ind. Manag. Data Syst., 2022
Expert Syst. Appl., 2022
An extreme learning machine based virtual sample generation method with feature engineering for credit risk assessment with data scarcity.
Expert Syst. Appl., 2022
An uncertainty-oriented cost-sensitive credit scoring framework with multi-objective feature selection.
Electron. Commer. Res. Appl., 2022
Integrating data augmentation and hybrid feature selection for small sample credit risk assessment with high dimensionality.
Comput. Oper. Res., 2022
2021
Investigation of diversity strategies in RVFL network ensemble learning for crude oil price forecasting.
Soft Comput., 2021
Forecasting Teleconsultation Demand with an Ensemble Attention-Based Bidirectional Long Short-Term Memory Model.
Int. J. Comput. Intell. Syst., 2021
A memory-trait-driven decomposition-reconstruction-ensemble learning paradigm for oil price forecasting.
Appl. Soft Comput., 2021
2020
J. Syst. Sci. Complex., 2020
On product of positive L-R fuzzy numbers and its application to multi-period portfolio selection problems.
Fuzzy Optim. Decis. Mak., 2020
2019
Fuzzy Optimal Allocation Model for Task-Resource Assignment Problem in a Collaborative Logistics Network.
IEEE Trans. Fuzzy Syst., 2019
Feature weighted confidence to incorporate prior knowledge into support vector machines for classification.
Knowl. Inf. Syst., 2019
Forecasting Chinese Stock Market Prices using Baidu Search Index with a Learning-Based Data Collection Method.
Int. J. Inf. Technol. Decis. Mak., 2019
2018
IEEE Trans. Cybern., 2018
A bi-level optimization model of LRP in collaborative logistics network considered backhaul no-load cost.
Soft Comput., 2018
An agent-based model for investigating the impact of distorted supply-demand information on China's resale housing market.
J. Comput. Sci., 2018
A DBN-based resampling SVM ensemble learning paradigm for credit classification with imbalanced data.
Appl. Soft Comput., 2018
A non-iterative decomposition-ensemble learning paradigm using RVFL network for crude oil price forecasting.
Appl. Soft Comput., 2018
2017
A multi-agent-based online opinion dissemination model for China's crisis information release policy during hazardous chemical leakage emergencies into rivers.
Online Inf. Rev., 2017
Multi-depot vehicle routing problem for hazardous materials transportation: A fuzzy bilevel programming.
Inf. Sci., 2017
Int. J. Inf. Technol. Decis. Mak., 2017
Appl. Soft Comput., 2017
An EEMD-based multi-scale fuzzy entropy approach for complexity analysis in clean energy markets.
Appl. Soft Comput., 2017
Asia Pac. J. Oper. Res., 2017
2016
Stock Selection with a Novel Sigmoid-Based Mixed Discrete-Continuous Differential Evolution Algorithm.
IEEE Trans. Knowl. Data Eng., 2016
Neural Comput. Appl., 2016
Prediction-Based Multi-Objective Optimization for Oil Purchasing and Distribution with the NSGA-II Algorithm.
Int. J. Inf. Technol. Decis. Mak., 2016
Fuzzy multi-objective chance-constrained programming model for hazardous materials transportation.
Int. J. Gen. Syst., 2016
Eur. J. Oper. Res., 2016
A novel decomposition ensemble model with extended extreme learning machine for crude oil price forecasting.
Eng. Appl. Artif. Intell., 2016
2015
IEEE Trans. Fuzzy Syst., 2015
A novel hybrid FA-Based LSSVR learning paradigm for hydropower consumption forecasting.
J. Syst. Sci. Complex., 2015
Int. J. Inf. Technol. Decis. Mak., 2015
Int. J. Intell. Syst., 2015
Entropy, 2015
Estimating Portfolio Value at Risk in the Electricity Markets Using an Entropy Optimized BEMD Approach.
Entropy, 2015
Economic and Environmental Effects of Coal Resource Tax Reform in China: Based on a Dynamic CGE Approach.
Proceedings of the Third International Conference on Information Technology and Quantitative Management, 2015
Proceedings of the Third International Conference on Information Technology and Quantitative Management, 2015
2014
Int. J. Knowl. Syst. Sci., 2014
2013
Soft Comput., 2013
An Integrated Data Characteristic Testing Scheme for Complex Time Series Data Exploration.
Int. J. Inf. Technol. Decis. Mak., 2013
Proceedings of the Sixth International Conference on Business Intelligence and Financial Engineering, 2013
Coupling Firefly Algorithm and Least Squares Support Vector Regression for Crude Oil Price Forecasting.
Proceedings of the Sixth International Conference on Business Intelligence and Financial Engineering, 2013
2012
An evolutionary programming based asymmetric weighted least squares support vector machine ensemble learning methodology for software repository mining.
Inf. Sci., 2012
A fuzzy multi-objective model for capacity allocation and pricing policy of provider in data communication service with different QoS levels.
Int. J. Syst. Sci., 2012
Country risk forecasting for major oil exporting countries: A decomposition hybrid approach.
Comput. Ind. Eng., 2012
Ann. Oper. Res., 2012
2011
Credit risk evaluation using a weighted least squares SVM classifier with design of experiment for parameter selection.
Expert Syst. Appl., 2011
A distance-based group decision-making methodology for multi-person multi-criteria emergency decision support.
Decis. Support Syst., 2011
2010
J. Syst. Sci. Complex., 2010
Neurocomputing, 2010
Neural network methods for forecasting turning points in economic time series: an asymmetric verification to business cycles.
Frontiers Comput. Sci. China, 2010
Developing an SVM-based ensemble learning system for customer risk identification collaborating with customer relationship management.
Frontiers Comput. Sci. China, 2010
Frontiers Comput. Sci. China, 2010
Expert Syst. Appl., 2010
Support vector machine based multiagent ensemble learning for credit risk evaluation.
Expert Syst. Appl., 2010
2009
IEEE Trans. Evol. Comput., 2009
Credit scoring using support vector machines with direct search for parameters selection.
Soft Comput., 2009
J. Networks, 2009
Determining Optimal Selling Price, Order Size and the Number of Price Changes with Weibull Distribution Deterioration.
J. Comput., 2009
INFOR Inf. Syst. Oper. Res., 2009
A Modified Least Squares Support Vector Machine Classifier with Application to Credit Risk Analysis.
Int. J. Inf. Technol. Decis. Mak., 2009
Int. J. Inf. Technol. Decis. Mak., 2009
A novel PPGA-based clustering analysis method for business cycle indicator selection.
Frontiers Comput. Sci. China, 2009
Forecasting foreign exchange rates with an improved back-propagation learning algorithm with adaptive smoothing momentum terms.
Frontiers Comput. Sci. China, 2009
An intelligent-agent-based fuzzy group decision making model for financial multicriteria decision support: The case of credit scoring.
Eur. J. Oper. Res., 2009
A neural-network-based nonlinear metamodeling approach to financial time series forecasting.
Appl. Soft Comput., 2009
Proceedings of the Computational Science, 2009
Foreign Exchange Rates Forecasting with a C-Ascending Least Squares Support Vector Regression Model.
Proceedings of the Computational Science, 2009
2008
An EMD-Based Neural Network Ensemble Learning Model for World Crude Oil Spot Price Forecasting.
Proceedings of the Soft Computing Applications in Business, 2008
An Evolutionary Programming Based Knowledge Ensemble Model for Business Risk Identification.
Proceedings of the Soft Computing Applications in Business, 2008
J. Syst. Sci. Complex., 2008
Forecasting China's Foreign Trade Volume with a Kernel-Based Hybrid Econometric-Ai Ensemble Learning Approach.
J. Syst. Sci. Complex., 2008
Neurocomputing, 2008
Int. J. Approx. Reason., 2008
Expert Syst. Appl., 2008
Comput. Oper. Res., 2008
A generalized Intelligent-agent-based fuzzy group forecasting model for oil price prediction.
Proceedings of the IEEE International Conference on Systems, 2008
Proceedings of the Fourth International Conference on Natural Computation, 2008
Proceedings of the Fourth International Conference on Natural Computation, 2008
2007
Int. J. Inf. Technol. Decis. Mak., 2007
Developing and assessing an intelligent forex rolling forecasting and trading decision support system for online e-service.
Int. J. Intell. Syst., 2007
Proceedings of the Fuzzy Information and Engineering, 2007
A Hybrid Econometric-AI Ensemble Learning Model for Chinese Foreign Trade Prediction.
Proceedings of the Computational Science - ICCS 2007, 7th International Conference, Beijing, China, May 27, 2007
Proceedings of the Computational Science - ICCS 2007, 7th International Conference, Beijing, China, May 27, 2007
Neural-Network-Based Fuzzy Group Forecasting with Application to Foreign Exchange Rates Prediction.
Proceedings of the Computational Science - ICCS 2007, 7th International Conference, Beijing, China, May 27, 2007
Proceedings of the Computational Science - ICCS 2007, 7th International Conference, Beijing, China, May 27, 2007
An Intelligent CRM System for Identifying High-Risk Customers: An Ensemble Data Mining Approach.
Proceedings of the Computational Science - ICCS 2007, 7th International Conference, Beijing, China, May 27, 2007
Proceedings of the Computational Science - ICCS 2007, 7th International Conference, Beijing, China, May 27, 2007
Proceedings of the Computational Science - ICCS 2007, 7th International Conference, Beijing, China, May 27, 2007
An Evolutionary Programming Based SVM Ensemble Model for Corporate Failure Prediction.
Proceedings of the Adaptive and Natural Computing Algorithms, 8th International Conference, 2007
2006
IEEE Trans. Knowl. Data Eng., 2006
Int. J. Inf. Technol. Decis. Mak., 2006
Int. J. Inf. Technol. Decis. Mak., 2006
Proceedings of the Simulated Evolution and Learning, 6th International Conference, 2006
Proceedings of the Rough Sets and Knowledge Technology, First International Conference, 2006
Proceedings of the PRICAI 2006: Trends in Artificial Intelligence, 2006
Proceedings of the Knowledge Discovery in Life Science Literature, 2006
Multistage Neural Network Metalearning with Application to Foreign Exchange Rates Forecasting.
Proceedings of the MICAI 2006: Advances in Artificial Intelligence, 2006
Proceedings of the 2006 Joint Conference on Information Sciences, 2006
An Adaptive BP Algorithm with Optimal Learning Rates and Directional Error Correction for Foreign Exchange Market Trend Prediction.
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006
Proceedings of the Advances in Neural Networks - ISNN 2006, Third International Symposium on Neural Networks, Chengdu, China, May 28, 2006
Proceedings of the Interdisciplinary and Multidisciplinary Research in Computer Science, 2006
Proceedings of the International Joint Conference on Neural Networks, 2006
A Reliability-Based RBF Network Ensemble Model for Foreign Exchange Rates Predication.
Proceedings of the Neural Information Processing, 13th International Conference, 2006
Proceedings of the Neural Information Processing, 13th International Conference, 2006
Proceedings of the Intelligent Computing, 2006
Proceedings of the Workshops Proceedings of the 6th IEEE International Conference on Data Mining (ICDM 2006), 2006
Proceedings of the Computational Science and Its Applications, 2006
Proceedings of the Computational Science, 2006
A Novel Nonlinear Neural Network Ensemble Model for Financial Time Series Forecasting.
Proceedings of the Computational Science, 2006
Hybridizing Exponential Smoothing and Neural Network for Financial Time Series Predication.
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 Artificial Neural Networks, 2006
Proceedings of the Advanced Web and Network Technologies, and Applications, 2006
2005
A novel nonlinear ensemble forecasting model incorporating GLAR and ANN for foreign exchange rates.
Comput. Oper. Res., 2005
Proceedings of the Internet and Network Economics, First International Workshop, 2005
Proceedings of the Algorithms and Computation, 16th International Symposium, 2005
Proceedings of the 17th IEEE International Conference on Tools with Artificial Intelligence (ICTAI 2005), 2005
Double Robustness Analysis for Determining Optimal Feedforward Neural Network Architecture.
Proceedings of the Advances in Natural Computation, First International Conference, 2005
Proceedings of the Computational Science, 2005
2004
Proceedings of the Data Mining and Knowledge Management, 2004
A Neural Network and Web-Based Decision Support System for Forex Forecasting and Trading.
Proceedings of the Data Mining and Knowledge Management, 2004