Using an Unsupervized Neural Network and Decision Tree as Knowledge Acquisition Tools for Fms Scheduling. - Der-Chiang Li; Chih-Sen Wu; Kuan-Yeh Torng (Int. J. Syst. Sci., 1997)

Determination of the parameters in the dynamic weighted Round-Robin method for network load balancing. - Der-Chiang Li; Chih-Sen Wu; Fengming M. Chang (Comput. Oper. Res., 2005)

Using mega-fuzzification and data trend estimation in small data set learning for early FMS scheduling knowledge. - Der-Chiang Li; Chih-Sen Wu; Tung-I Tsai; Fengming M. Chang (Comput. Oper. Res., 2006)

Using virtual sample generation to build up management knowledge in the early manufacturing stages. - Der-Chang Li; Yao-San Lin (Eur. J. Oper. Res., 2006)

An In-Out Combined Dynamic Weighted Round-Robin Method for Network Load Balancing. - Der-Chiang Li; Fengming M. Chang (Comput. J., 2007)

Using mega-trend-diffusion and artificial samples in small data set learning for early flexible manufacturing system scheduling knowledge. - Der-Chiang Li; Chih-Sen Wu; Tung-I Tsai; Yao-San Lin (Comput. Oper. Res., 2007)

Acquiring knowledge with limited experience. - Der-Chiang Li; Chun-Wu Yeh; Tung-I Tsai; Yao-Hwei Fang; Susan C. Hu (Expert Syst. J. Knowl. Eng., 2007)

A new method to help diagnose cancers for small sample size. - Der-Chiang Li; Hung-Chang Hsu; Tung-I Tsai; Te-Jung Lu; Susan C. Hu (Expert Syst. Appl., 2007)

Learning management knowledge for manufacturing systems in the early stages using time series data. - Der-Chiang Li; Yao-San Lin (Eur. J. Oper. Res., 2008)

An algorithm to cluster data for efficient classification of support vector machines. - Der-Chiang Li; Yao-Hwei Fang (Expert Syst. Appl., 2008)

A non-parametric learning algorithm for small manufacturing data sets. - Der-Chang Li; Chun-Wu Yeh (Expert Syst. Appl., 2008)

A case study: The prediction of Taiwan's export of polyester fiber using small-data-set learning methods. - Der-Chiang Li; Chun-Wu Yeh; Zheng-Yuan Li (Expert Syst. Appl., 2008)

Approximate modeling for high order non-linear functions using small sample sets. - Tung-I Tsai; Der-Chiang Li (Expert Syst. Appl., 2008)

Utilize bootstrap in small data set learning for pilot run modeling of manufacturing systems. - Tung-I Tsai; Der-Chiang Li (Expert Syst. Appl., 2008)

An improved grey-based approach for early manufacturing data forecasting. - Der-Chiang Li; Chun-Wu Yeh; Che-Jung Chang (Comput. Ind. Eng., 2009)

Using a system-diagnostic approach to solve information and operation issues in shop-floor integration systems. - Der-Chiang Li; Wen-Li Dai (Expert Syst. Appl., 2009)

A non-linearly virtual sample generation technique using group discovery and parametric equations of hypersphere. - Der-Chiang Li; Yao-Hwei Fang (Expert Syst. Appl., 2009)

A neural network weight determination model designed uniquely for small data set learning. - Der-Chiang Li; Chiao-Wen Liu (Expert Syst. Appl., 2009)

Constructing marketing decision support systems using data diffusion technology: A case study of gas station diversification. - Der-Chiang Li; Yao-San Lin; Yu-Cheng Huang (Expert Syst. Appl., 2009)

Utilization of virtual samples to facilitate cancer identification for DNA microarray data in the early stages of an investigation. - Der-Chiang Li; Yao-Hwei Fang; Yung-Yao Lai; Susan C. Hu (Inf. Sci., 2009)

A learning method for the class imbalance problem with medical data sets. - Der-Chiang Li; Chiao-Wen Liu; Susan C. Hu (Comput. Biol. Medicine, 2010)

The data complexity index to construct an efficient cross-validation method. - Der-Chiang Li; Yao-Hwei Fang; Y. M. Frank Fang (Decis. Support Syst., 2010)

The Generalized-Trend-Diffusion modeling algorithm for small data sets in the early stages of manufacturing systems. - Yao-San Lin; Der-Chiang Li (Eur. J. Oper. Res., 2010)

Applying systematic diagnosis and product classification approaches to solve multiple products operational issues in shop-floor integration systems. - Wen-Li Dai; Der-Chiang Li (Expert Syst. Appl., 2010)

Building reliability growth model using sequential experiments and the Bayesian theorem for small datasets. - Der-Chiang Li; Fengming M. Chang; Kuei-Ching Chen (Expert Syst. Appl., 2010)

A class possibility based kernel to increase classification accuracy for small data sets using support vector machines. - Der-Chiang Li; Chiao-Wen Liu (Expert Syst. Appl., 2010)

A trend prediction model from very short term data learning. - Chun-Wu Yeh; Der-Chiang Li (Expert Syst. Appl., 2010)

A fuzzy-based data transformation for feature extraction to increase classification performance with small medical data sets. - Der-Chiang Li; Chiao-Wen Liu; Susan C. Hu (Artif. Intell. Medicine, 2011)

Two-machine flowshop scheduling with truncated learning to minimize the total completion time. - Der-Chiang Li; Peng-Hsiang Hsu; Chin-Chia Wu; T. C. Edwin Cheng (Comput. Ind. Eng., 2011)

A two-stage clustering method to analyze customer characteristics to build discriminative customer management: A case of textile manufacturing business. - Der-Chiang Li; Wen-Li Dai; Wan-Ting Tseng (Expert Syst. Appl., 2011)

Solving a two-agent single-machine scheduling problem considering learning effect. - Der-Chiang Li; Peng-Hsiang Hsu (Comput. Oper. Res., 2012)

Recursive operation time maximization model for the maintenance of power generation equipment. - Der-Chiang Li; Chiao-Wen Liu; Tung-Liang Chen (Comput. Oper. Res., 2012)

Using structure-based data transformation method to improve prediction accuracies for small data sets. - Der-Chiang Li; Chih-Chieh Chang; Chiao-Wen Liu (Decis. Support Syst., 2012)

A tree-based-trend-diffusion prediction procedure for small sample sets in the early stages of manufacturing systems. - Der-Chiang Li; Chien-Chih Chen; Che-Jung Chang; Wu-Kuo Lin (Expert Syst. Appl., 2012)

Determining manufacturing parameters to suppress system variance using linear and non-linear models. - Der-Chiang Li; Wen-Chih Chen; Chiao-Wen Liu; Che-Jung Chang; Chien-Chih Chen (Expert Syst. Appl., 2012)

Estimation of a data-collection maturity model to detect manufacturing change. - Chun-Wu Yeh; Der-Chiang Li; Yao-Ren Zhang (Expert Syst. Appl., 2012)

A non-linear quality improvement model using SVR for manufacturing TFT-LCDs. - Der-Chiang Li; Wen-Chih Chen; Chiao-Wen Liu; Yao-San Lin (J. Intell. Manuf., 2012)

Using past manufacturing experience to assist building the yield forecast model for new manufacturing processes. - Der-Chiang Li; Yao-Hwei Fang; Chiao-Wen Liu; Cheng-jung Juang (J. Intell. Manuf., 2012)

Extending Attribute Information for Small Data Set Classification. - Der-Chiang Li; Chiao-Wen Liu (IEEE Trans. Knowl. Data Eng., 2012)

A new approach to assess product lifetime performance for small data sets. - Der-Chiang Li; Liang-Sian Lin (Eur. J. Oper. Res., 2013)

A new approach for manufacturing forecast problems with insufficient data: the case of TFT-LCDs. - Der-Chiang Li; Chih-Chieh Chang; Chiao-Wen Liu; Wen-Chih Chen (J. Intell. Manuf., 2013)

A forecasting model for small non-equigap data sets considering data weights and occurrence possibilities. - Che-Jung Chang; Der-Chiang Li; Chien-Chih Chen; Chia-Sheng Chen (Comput. Ind. Eng., 2014)

Generating information for small data sets with a multi-modal distribution. - Der-Chiang Li; Liang-Sian Lin (Decis. Support Syst., 2014)

Improving learning accuracy by using synthetic samples for small datasets with non-linear attribute dependency. - Der-Chiang Li; Liang-Sian Lin; Li-Jhong Peng (Decis. Support Syst., 2014)

A latent information function to extend domain attributes to improve the accuracy of small-data-set forecasting. - Che-Jung Chang; Der-Chiang Li; Wen-Li Dai; Chien-Chih Chen (Neurocomputing, 2014)

Employing box plots to build high-dimensional manufacturing models for new products in TFT-LCD plants. - Der-Chiang Li; Wen-Ting Huang; Chien-Chih Chen; Che-Jung Chang (Neurocomputing, 2014)

A genetic algorithm-based virtual sample generation technique to improve small data set learning. - Der-Chiang Li; I-Hsiang Wen (Neurocomputing, 2014)

Generating Information-Diffusion-Based Virtual Samples to Improve Small Data Set Prediction for Ceramic Powder: A Case Study. - Hung-Yu Chen; Der-Chiang Li (ACIT-CSI, 2015)

Non-parametric Statistical Assistance in Virtual Sample Selection for Small Data Set Prediction. - Yao-San Lin; Liang-Sian Lin; Der-Chiang Li; Wei-Lin Liao (ACIT-CSI, 2015)

Generating Multi-modality Virtual Samples with Soft DBSCAN for Small Data Set Learning. - Liang-Sian Lin; Der-Chiang Li; Wei-Hao Yu; Yu-Mei Hsueh (ACIT-CSI, 2015)

Improving Knowledge Acquisition Capability of M5' Model Tree on Small Datasets. - Chun-Hao Tsai; Der-Chiang Li (ACIT-CSI, 2015)

A novel gray forecasting model based on the box plot for small manufacturing data sets. - Che-Jung Chang; Der-Chiang Li; Yi-Hsiang Huang; Chien-Chih Chen (Appl. Math. Comput., 2015)

Extending Sample Information for Small Data Set Prediction. - Hung-Yu Chen; Der-Chiang Li; Liang-Sian Lin (IIAI-AAI, 2016)

Improving Virtual Sample Generation for Small Sample Learning with Dependent Attributes. - Liang-Sian Lin; Der-Chiang Li; Chih-Wei Pan (IIAI-AAI, 2016)

A Learning Approach with Under-and Over-Sampling for Imbalanced Data Sets. - Chun-Wu Yeh; Der-Chiang Li; Liang-Sian Lin; Tung-I Tsai (IIAI-AAI, 2016)

Using a diffusion wavelet neural network for short-term time series learning in the wafer level chip scale package process. - Der-Chiang Li; Chun-Wu Yeh; Chieh-Chih Chen; Hung-Ta Shih (J. Intell. Manuf., 2016)

The attribute-trend-similarity method to improve learning performance for small datasets. - Der-Chiang Li; Wu-Kuo Lin; Liang-Sian Lin; Chien-Chih Chen; Wen-Ting Huang (Int. J. Prod. Res., 2017)

Latent-Function-Based Residual Discrete Grey Model for Short-Term Demand Forecasting. - Che-Jung Chang; Wen-Li Dai; Der-Chiang Li; Chien-Chih Chen (Cybern. Syst., 2018)

Rebuilding sample distributions for small dataset learning. - Der-Chiang Li; Wu-Kuo Lin; Chien-Chih Chen; Hung-Yu Chen; Liang-Sian Lin (Decis. Support Syst., 2018)

Learning from small datasets containing nominal attributes. - Der-Chiang Li; Hung-Yu Chen; Qi-Shi Shi (Neurocomputing, 2018)

An attribute extending method to improve learning performance for small datasets. - Liang-Sian Lin; Der-Chiang Li; Hung-Yu Chen; Yu-Chun Chiang (Neurocomputing, 2018)

Using an attribute conversion approach for sample generation to learn small data with highly uncertain features. - Der-Chiang Li; Qi-Shi Shi; Ming-Da Li (Int. J. Prod. Res., 2018)

Generating Synthetic Samples to Improve Small Sample Learning with Mixed Numerical and Categorical Attributes. - Yao-San Lin; Wan-Ni Cheng; Chien-Chih Chen; Der-Chiang Li; Hung-Yu Chen (IIAI-AAI, 2019)

Building robust models for small data containing nominal inputs and continuous outputs based on possibility distributions. - Der-Chiang Li; Qi-Shi Shi; Hung-Yu Chen (Int. J. Mach. Learn. Cybern., 2019)

Using virtual samples to improve learning performance for small datasets with multimodal distributions. - Der-Chiang Li; Liang-Sian Lin; Chien-Chih Chen; Wei-Hao Yu (Soft Comput., 2019)

An envelopment learning procedure for improving prediction accuracies of grey models. - Chien-Chih Chen; Che-Jung Chang; Zheng-Yun Zhuang; Der-Chiang Li (Comput. Ind. Eng., 2020)

Weighted-additive fuzzy multi-choice goal programming (WA-FMCGP) for supporting renewable energy site selection decisions. - Amin Hocine; Zheng-Yun Zhuang; Noureddine Kouaissah; Der-Chiang Li (Eur. J. Oper. Res., 2020)

A Boundary-Information-Based Oversampling Approach to Improve Learning Performance for Imbalanced Datasets. - Der-Chiang Li; Qi-Shi Shi; Yao-San Lin; Liang-Sian Lin (Entropy, 2022)

Learning class-imbalanced data with region-impurity synthetic minority oversampling technique. - Der-Chiang Li; Ssu-Yang Wang; Kuan-Cheng Huang; Tung-I Tsai (Inf. Sci., 2022)

A Novel Classification Method Based on a Two-Phase Technique for Learning Imbalanced Text Data. - Der-Chiang Li; Szu-Chou Chen; Yao-San Lin; Wen-Yen Hsu (Symmetry, 2022)

Generating virtual samples to improve learning performance in small datasets with non-linear and asymmetric distributions. - Liang-Sian Lin; Yao-San Lin; Der-Chiang Li (Neurocomputing, 2023)

Mega trend diffusion-siamese network oversampling for imbalanced datasets' SVM classification. - Liang-Sian Lin; Yao-San Lin; Der-Chiang Li; Yi-Ting Chen (Appl. Soft Comput., 2023)

Improved learning performance for small datasets in high dimensions by new dual-net model for non-linear interpolation virtual sample generation. - Liang-Sian Lin; Yao-San Lin; Der-Chiang Li; Yun-Hsuan Liu (Decis. Support Syst., 2023)

Enhancing prediction accuracy for high-dimensional small-sample-size microarray data cancer by combining chebyshev interpolation with new dual-net GAN. - Liang-Sian Lin; Yao-San Lin; Der-Chiang Li; Susan C. Hu; Chih-I Huang (Appl. Soft Comput., 2025)