Der-Chiang Li
Orcid: 0000-0002-0887-1308
According to our database1,
Der-Chiang Li
authored at least 73 papers
between 1997 and 2023.
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Bibliography
2023
Improved learning performance for small datasets in high dimensions by new dual-net model for non-linear interpolation virtual sample generation.
Decis. Support Syst., September, 2023
Mega trend diffusion-siamese network oversampling for imbalanced datasets' SVM classification.
Appl. Soft Comput., August, 2023
Generating virtual samples to improve learning performance in small datasets with non-linear and asymmetric distributions.
Neurocomputing, 2023
2022
A Novel Classification Method Based on a Two-Phase Technique for Learning Imbalanced Text Data.
Symmetry, 2022
Learning class-imbalanced data with region-impurity synthetic minority oversampling technique.
Inf. Sci., 2022
A Boundary-Information-Based Oversampling Approach to Improve Learning Performance for Imbalanced Datasets.
Entropy, 2022
2020
Weighted-additive fuzzy multi-choice goal programming (WA-FMCGP) for supporting renewable energy site selection decisions.
Eur. J. Oper. Res., 2020
An envelopment learning procedure for improving prediction accuracies of grey models.
Comput. Ind. Eng., 2020
2019
Using virtual samples to improve learning performance for small datasets with multimodal distributions.
Soft Comput., 2019
Building robust models for small data containing nominal inputs and continuous outputs based on possibility distributions.
Int. J. Mach. Learn. Cybern., 2019
Generating Synthetic Samples to Improve Small Sample Learning with Mixed Numerical and Categorical Attributes.
Proceedings of the 8th International Congress on Advanced Applied Informatics, 2019
2018
Using an attribute conversion approach for sample generation to learn small data with highly uncertain features.
Int. J. Prod. Res., 2018
Neurocomputing, 2018
Decis. Support Syst., 2018
Latent-Function-Based Residual Discrete Grey Model for Short-Term Demand Forecasting.
Cybern. Syst., 2018
2017
The attribute-trend-similarity method to improve learning performance for small datasets.
Int. J. Prod. Res., 2017
2016
Using a diffusion wavelet neural network for short-term time series learning in the wafer level chip scale package process.
J. Intell. Manuf., 2016
Proceedings of the 5th IIAI International Congress on Advanced Applied Informatics, 2016
Improving Virtual Sample Generation for Small Sample Learning with Dependent Attributes.
Proceedings of the 5th IIAI International Congress on Advanced Applied Informatics, 2016
Proceedings of the 5th IIAI International Congress on Advanced Applied Informatics, 2016
2015
A novel gray forecasting model based on the box plot for small manufacturing data sets.
Appl. Math. Comput., 2015
Proceedings of the 3rd International Conference on Applied Computing and Information Technology, 2015
Generating Multi-modality Virtual Samples with Soft DBSCAN for Small Data Set Learning.
Proceedings of the 3rd International Conference on Applied Computing and Information Technology, 2015
Non-parametric Statistical Assistance in Virtual Sample Selection for Small Data Set Prediction.
Proceedings of the 3rd International Conference on Applied Computing and Information Technology, 2015
Generating Information-Diffusion-Based Virtual Samples to Improve Small Data Set Prediction for Ceramic Powder: A Case Study.
Proceedings of the 3rd International Conference on Applied Computing and Information Technology, 2015
2014
A genetic algorithm-based virtual sample generation technique to improve small data set learning.
Neurocomputing, 2014
Employing box plots to build high-dimensional manufacturing models for new products in TFT-LCD plants.
Neurocomputing, 2014
A latent information function to extend domain attributes to improve the accuracy of small-data-set forecasting.
Neurocomputing, 2014
Improving learning accuracy by using synthetic samples for small datasets with non-linear attribute dependency.
Decis. Support Syst., 2014
Decis. Support Syst., 2014
A forecasting model for small non-equigap data sets considering data weights and occurrence possibilities.
Comput. Ind. Eng., 2014
2013
A new approach for manufacturing forecast problems with insufficient data: the case of TFT-LCDs.
J. Intell. Manuf., 2013
Eur. J. Oper. Res., 2013
2012
IEEE Trans. Knowl. Data Eng., 2012
Using past manufacturing experience to assist building the yield forecast model for new manufacturing processes.
J. Intell. Manuf., 2012
J. Intell. Manuf., 2012
Expert Syst. Appl., 2012
Determining manufacturing parameters to suppress system variance using linear and non-linear models.
Expert Syst. Appl., 2012
A tree-based-trend-diffusion prediction procedure for small sample sets in the early stages of manufacturing systems.
Expert Syst. Appl., 2012
Using structure-based data transformation method to improve prediction accuracies for small data sets.
Decis. Support Syst., 2012
Recursive operation time maximization model for the maintenance of power generation equipment.
Comput. Oper. Res., 2012
Comput. Oper. Res., 2012
2011
A two-stage clustering method to analyze customer characteristics to build discriminative customer management: A case of textile manufacturing business.
Expert Syst. Appl., 2011
Two-machine flowshop scheduling with truncated learning to minimize the total completion time.
Comput. Ind. Eng., 2011
A fuzzy-based data transformation for feature extraction to increase classification performance with small medical data sets.
Artif. Intell. Medicine, 2011
2010
Expert Syst. Appl., 2010
A class possibility based kernel to increase classification accuracy for small data sets using support vector machines.
Expert Syst. Appl., 2010
Building reliability growth model using sequential experiments and the Bayesian theorem for small datasets.
Expert Syst. Appl., 2010
Applying systematic diagnosis and product classification approaches to solve multiple products operational issues in shop-floor integration systems.
Expert Syst. Appl., 2010
The Generalized-Trend-Diffusion modeling algorithm for small data sets in the early stages of manufacturing systems.
Eur. J. Oper. Res., 2010
Decis. Support Syst., 2010
Comput. Biol. Medicine, 2010
2009
Utilization of virtual samples to facilitate cancer identification for DNA microarray data in the early stages of an investigation.
Inf. Sci., 2009
Constructing marketing decision support systems using data diffusion technology: A case study of gas station diversification.
Expert Syst. Appl., 2009
A neural network weight determination model designed uniquely for small data set learning.
Expert Syst. Appl., 2009
A non-linearly virtual sample generation technique using group discovery and parametric equations of hypersphere.
Expert Syst. Appl., 2009
Using a system-diagnostic approach to solve information and operation issues in shop-floor integration systems.
Expert Syst. Appl., 2009
Comput. Ind. Eng., 2009
2008
Utilize bootstrap in small data set learning for pilot run modeling of manufacturing systems.
Expert Syst. Appl., 2008
Expert Syst. Appl., 2008
A case study: The prediction of Taiwan's export of polyester fiber using small-data-set learning methods.
Expert Syst. Appl., 2008
Expert Syst. Appl., 2008
An algorithm to cluster data for efficient classification of support vector machines.
Expert Syst. Appl., 2008
Learning management knowledge for manufacturing systems in the early stages using time series data.
Eur. J. Oper. Res., 2008
2007
Expert Syst. Appl., 2007
Using mega-trend-diffusion and artificial samples in small data set learning for early flexible manufacturing system scheduling knowledge.
Comput. Oper. Res., 2007
Comput. J., 2007
2006
Using virtual sample generation to build up management knowledge in the early manufacturing stages.
Eur. J. Oper. Res., 2006
Using mega-fuzzification and data trend estimation in small data set learning for early FMS scheduling knowledge.
Comput. Oper. Res., 2006
2005
Determination of the parameters in the dynamic weighted Round-Robin method for network load balancing.
Comput. Oper. Res., 2005
1997
Using an Unsupervized Neural Network and Decision Tree as Knowledge Acquisition Tools for Fms Scheduling.
Int. J. Syst. Sci., 1997