Der-Chiang Li

Publication Activity (10 Years)

Years Active: 1997-2023
Publications (10 Years): 26

Top Topics

Imbalanced Datasets

Forecasting Model

Svm Classification

Top Venues

Decis. Support Syst.

Publications

Liang-Sian Lin, Yao-San Lin, Der-Chiang Li, Yun-Hsuan Liu
Improved learning performance for small datasets in high dimensions by new dual-net model for non-linear interpolation virtual sample generation. Decis. Support Syst. 172 (2023)
Liang-Sian Lin, Yao-San Lin, Der-Chiang Li, Yi-Ting Chen
Mega trend diffusion-siamese network oversampling for imbalanced datasets' SVM classification. Appl. Soft Comput. 143 (2023)
Liang-Sian Lin, Yao-San Lin, Der-Chiang Li
Generating virtual samples to improve learning performance in small datasets with non-linear and asymmetric distributions. Neurocomputing 548 (2023)
Der-Chiang Li, Szu-Chou Chen, Yao-San Lin, Wen-Yen Hsu
A Novel Classification Method Based on a Two-Phase Technique for Learning Imbalanced Text Data. Symmetry 14 (3) (2022)
Der-Chiang Li, Qi-Shi Shi, Yao-San Lin, Liang-Sian Lin
A Boundary-Information-Based Oversampling Approach to Improve Learning Performance for Imbalanced Datasets. Entropy 24 (3) (2022)
Der-Chiang Li, Ssu-Yang Wang, Kuan-Cheng Huang, Tung-I Tsai
Learning class-imbalanced data with region-impurity synthetic minority oversampling technique. Inf. Sci. 607 (2022)
Chien-Chih Chen, Che-Jung Chang, Zheng-Yun Zhuang, Der-Chiang Li
An envelopment learning procedure for improving prediction accuracies of grey models. Comput. Ind. Eng. 139 (2020)
Amin Hocine, Zheng-Yun Zhuang, Noureddine Kouaissah, Der-Chiang Li
Weighted-additive fuzzy multi-choice goal programming (WA-FMCGP) for supporting renewable energy site selection decisions. Eur. J. Oper. Res. 285 (2) (2020)
Der-Chiang Li, Liang-Sian Lin, Chien-Chih Chen, Wei-Hao Yu
Using virtual samples to improve learning performance for small datasets with multimodal distributions. Soft Comput. 23 (22) (2019)
Yao-San Lin, Wan-Ni Cheng, Chien-Chih Chen, Der-Chiang Li, Hung-Yu Chen
Generating Synthetic Samples to Improve Small Sample Learning with Mixed Numerical and Categorical Attributes. IIAI-AAI (2019)
Der-Chiang Li, Qi-Shi Shi, Hung-Yu Chen
Building robust models for small data containing nominal inputs and continuous outputs based on possibility distributions. Int. J. Mach. Learn. Cybern. 10 (10) (2019)
Der-Chiang Li, Wu-Kuo Lin, Chien-Chih Chen, Hung-Yu Chen, Liang-Sian Lin
Rebuilding sample distributions for small dataset learning. Decis. Support Syst. 105 (2018)
Der-Chiang Li, Qi-Shi Shi, Ming-Da Li
Using an attribute conversion approach for sample generation to learn small data with highly uncertain features. Int. J. Prod. Res. 56 (14) (2018)
Che-Jung Chang, Wen-Li Dai, Der-Chiang Li, Chien-Chih Chen
Latent-Function-Based Residual Discrete Grey Model for Short-Term Demand Forecasting. Cybern. Syst. 49 (3) (2018)
Der-Chiang Li, Hung-Yu Chen, Qi-Shi Shi
Learning from small datasets containing nominal attributes. Neurocomputing 291 (2018)
Liang-Sian Lin, Der-Chiang Li, Hung-Yu Chen, Yu-Chun Chiang
An attribute extending method to improve learning performance for small datasets. Neurocomputing 286 (2018)
Der-Chiang Li, Wu-Kuo Lin, Liang-Sian Lin, Chien-Chih Chen, Wen-Ting Huang
The attribute-trend-similarity method to improve learning performance for small datasets. Int. J. Prod. Res. 55 (7) (2017)
Liang-Sian Lin, Der-Chiang Li, Chih-Wei Pan
Improving Virtual Sample Generation for Small Sample Learning with Dependent Attributes. IIAI-AAI (2016)
Hung-Yu Chen, Der-Chiang Li, Liang-Sian Lin
Extending Sample Information for Small Data Set Prediction. IIAI-AAI (2016)
Der-Chiang Li, Chun-Wu Yeh, Chieh-Chih Chen, Hung-Ta Shih
Using a diffusion wavelet neural network for short-term time series learning in the wafer level chip scale package process. J. Intell. Manuf. 27 (6) (2016)
Chun-Wu Yeh, Der-Chiang Li, Liang-Sian Lin, Tung-I Tsai
A Learning Approach with Under-and Over-Sampling for Imbalanced Data Sets. IIAI-AAI (2016)
Liang-Sian Lin, Der-Chiang Li, Wei-Hao Yu, Yu-Mei Hsueh
Generating Multi-modality Virtual Samples with Soft DBSCAN for Small Data Set Learning. ACIT-CSI (2015)
Che-Jung Chang, Der-Chiang Li, Yi-Hsiang Huang, Chien-Chih Chen
A novel gray forecasting model based on the box plot for small manufacturing data sets. Appl. Math. Comput. 265 (2015)
Hung-Yu Chen, Der-Chiang Li
Generating Information-Diffusion-Based Virtual Samples to Improve Small Data Set Prediction for Ceramic Powder: A Case Study. ACIT-CSI (2015)
Chun-Hao Tsai, Der-Chiang Li
Improving Knowledge Acquisition Capability of M5' Model Tree on Small Datasets. ACIT-CSI (2015)
Yao-San Lin, Liang-Sian Lin, Der-Chiang Li, Wei-Lin Liao
Non-parametric Statistical Assistance in Virtual Sample Selection for Small Data Set Prediction. ACIT-CSI (2015)
Der-Chiang Li, Liang-Sian Lin, Li-Jhong Peng
Improving learning accuracy by using synthetic samples for small datasets with non-linear attribute dependency. Decis. Support Syst. 59 (2014)
Der-Chiang Li, I-Hsiang Wen
A genetic algorithm-based virtual sample generation technique to improve small data set learning. Neurocomputing 143 (2014)
Che-Jung Chang, Der-Chiang Li, Chien-Chih Chen, Chia-Sheng Chen
A forecasting model for small non-equigap data sets considering data weights and occurrence possibilities. Comput. Ind. Eng. 67 (2014)
Der-Chiang Li, Liang-Sian Lin
Generating information for small data sets with a multi-modal distribution. Decis. Support Syst. 66 (2014)
Der-Chiang Li, Wen-Ting Huang, Chien-Chih Chen, Che-Jung Chang
Employing box plots to build high-dimensional manufacturing models for new products in TFT-LCD plants. Neurocomputing 142 (2014)
Che-Jung Chang, Der-Chiang Li, Wen-Li Dai, Chien-Chih Chen
A latent information function to extend domain attributes to improve the accuracy of small-data-set forecasting. Neurocomputing 129 (2014)
Der-Chiang Li, Liang-Sian Lin
A new approach to assess product lifetime performance for small data sets. Eur. J. Oper. Res. 230 (2) (2013)
Der-Chiang Li, Chih-Chieh Chang, Chiao-Wen Liu, Wen-Chih Chen
A new approach for manufacturing forecast problems with insufficient data: the case of TFT-LCDs. J. Intell. Manuf. 24 (2) (2013)
Der-Chiang Li, Wen-Chih Chen, Chiao-Wen Liu, Yao-San Lin
A non-linear quality improvement model using SVR for manufacturing TFT-LCDs. J. Intell. Manuf. 23 (3) (2012)
Der-Chiang Li, Yao-Hwei Fang, Chiao-Wen Liu, Cheng-jung Juang
Using past manufacturing experience to assist building the yield forecast model for new manufacturing processes. J. Intell. Manuf. 23 (3) (2012)
Der-Chiang Li, Chih-Chieh Chang, Chiao-Wen Liu
Using structure-based data transformation method to improve prediction accuracies for small data sets. Decis. Support Syst. 52 (3) (2012)
Der-Chiang Li, Chiao-Wen Liu, Tung-Liang Chen
Recursive operation time maximization model for the maintenance of power generation equipment. Comput. Oper. Res. 39 (5) (2012)
Chun-Wu Yeh, Der-Chiang Li, Yao-Ren Zhang
Estimation of a data-collection maturity model to detect manufacturing change. Expert Syst. Appl. 39 (8) (2012)
Der-Chiang Li, Chien-Chih Chen, Che-Jung Chang, Wu-Kuo Lin
A tree-based-trend-diffusion prediction procedure for small sample sets in the early stages of manufacturing systems. Expert Syst. Appl. 39 (1) (2012)
Der-Chiang Li, Peng-Hsiang Hsu
Solving a two-agent single-machine scheduling problem considering learning effect. Comput. Oper. Res. 39 (7) (2012)
Der-Chiang Li, Chiao-Wen Liu
Extending Attribute Information for Small Data Set Classification. IEEE Trans. Knowl. Data Eng. 24 (3) (2012)
Der-Chiang Li, Wen-Chih Chen, Chiao-Wen Liu, Che-Jung Chang, Chien-Chih Chen
Determining manufacturing parameters to suppress system variance using linear and non-linear models. Expert Syst. Appl. 39 (4) (2012)
Der-Chiang Li, Wen-Li Dai, Wan-Ting Tseng
A two-stage clustering method to analyze customer characteristics to build discriminative customer management: A case of textile manufacturing business. Expert Syst. Appl. 38 (6) (2011)
Der-Chiang Li, Peng-Hsiang Hsu, Chin-Chia Wu, T. C. Edwin Cheng
Two-machine flowshop scheduling with truncated learning to minimize the total completion time. Comput. Ind. Eng. 61 (3) (2011)
Der-Chiang Li, Chiao-Wen Liu, Susan C. Hu
A fuzzy-based data transformation for feature extraction to increase classification performance with small medical data sets. Artif. Intell. Medicine 52 (1) (2011)
Wen-Li Dai, Der-Chiang Li
Applying systematic diagnosis and product classification approaches to solve multiple products operational issues in shop-floor integration systems. Expert Syst. Appl. 37 (9) (2010)
Der-Chiang Li, Chiao-Wen Liu
A class possibility based kernel to increase classification accuracy for small data sets using support vector machines. Expert Syst. Appl. 37 (4) (2010)
Der-Chiang Li, Yao-Hwei Fang, Y. M. Frank Fang
The data complexity index to construct an efficient cross-validation method. Decis. Support Syst. 50 (1) (2010)
Der-Chiang Li, Chiao-Wen Liu, Susan C. Hu
A learning method for the class imbalance problem with medical data sets. Comput. Biol. Medicine 40 (5) (2010)
Der-Chiang Li, Fengming M. Chang, Kuei-Ching Chen
Building reliability growth model using sequential experiments and the Bayesian theorem for small datasets. Expert Syst. Appl. 37 (4) (2010)
Chun-Wu Yeh, Der-Chiang Li
A trend prediction model from very short term data learning. Expert Syst. Appl. 37 (2) (2010)
Yao-San Lin, Der-Chiang Li
The Generalized-Trend-Diffusion modeling algorithm for small data sets in the early stages of manufacturing systems. Eur. J. Oper. Res. 207 (1) (2010)
Der-Chiang Li, Chiao-Wen Liu
A neural network weight determination model designed uniquely for small data set learning. Expert Syst. Appl. 36 (6) (2009)
Der-Chiang Li, Yao-San Lin, Yu-Cheng Huang
Constructing marketing decision support systems using data diffusion technology: A case study of gas station diversification. Expert Syst. Appl. 36 (2) (2009)
Der-Chiang Li, Yao-Hwei Fang
A non-linearly virtual sample generation technique using group discovery and parametric equations of hypersphere. Expert Syst. Appl. 36 (1) (2009)
Der-Chiang Li, Wen-Li Dai
Using a system-diagnostic approach to solve information and operation issues in shop-floor integration systems. Expert Syst. Appl. 36 (3) (2009)
Der-Chiang Li, Chun-Wu Yeh, Che-Jung Chang
An improved grey-based approach for early manufacturing data forecasting. Comput. Ind. Eng. 57 (4) (2009)
Der-Chiang Li, Yao-Hwei Fang, Yung-Yao Lai, Susan C. Hu
Utilization of virtual samples to facilitate cancer identification for DNA microarray data in the early stages of an investigation. Inf. Sci. 179 (16) (2009)
Der-Chiang Li, Chun-Wu Yeh, Zheng-Yuan Li
A case study: The prediction of Taiwan's export of polyester fiber using small-data-set learning methods. Expert Syst. Appl. 34 (3) (2008)
Tung-I Tsai, Der-Chiang Li
Approximate modeling for high order non-linear functions using small sample sets. Expert Syst. Appl. 34 (1) (2008)
Der-Chiang Li, Yao-Hwei Fang
An algorithm to cluster data for efficient classification of support vector machines. Expert Syst. Appl. 34 (3) (2008)
Der-Chiang Li, Yao-San Lin
Learning management knowledge for manufacturing systems in the early stages using time series data. Eur. J. Oper. Res. 184 (1) (2008)
Tung-I Tsai, Der-Chiang Li
Utilize bootstrap in small data set learning for pilot run modeling of manufacturing systems. Expert Syst. Appl. 35 (3) (2008)
Der-Chiang Li, Fengming M. Chang
An In-Out Combined Dynamic Weighted Round-Robin Method for Network Load Balancing. Comput. J. 50 (5) (2007)
Der-Chiang Li, Hung-Chang Hsu, Tung-I Tsai, Te-Jung Lu, Susan C. Hu
A new method to help diagnose cancers for small sample size. Expert Syst. Appl. 33 (2) (2007)
Der-Chiang Li, Chih-Sen Wu, Tung-I Tsai, Yao-San Lin
Using mega-trend-diffusion and artificial samples in small data set learning for early flexible manufacturing system scheduling knowledge. Comput. Oper. Res. 34 (4) (2007)
Der-Chiang Li, Chun-Wu Yeh, Tung-I Tsai, Yao-Hwei Fang, Susan C. Hu
Acquiring knowledge with limited experience. Expert Syst. J. Knowl. Eng. 24 (3) (2007)
Der-Chiang Li, Chih-Sen Wu, Tung-I Tsai, Fengming M. Chang
Using mega-fuzzification and data trend estimation in small data set learning for early FMS scheduling knowledge. Comput. Oper. Res. 33 (2006)
Der-Chiang Li, Chih-Sen Wu, Fengming M. Chang
Determination of the parameters in the dynamic weighted Round-Robin method for network load balancing. Comput. Oper. Res. 32 (2005)
Der-Chiang Li, Chih-Sen Wu, Kuan-Yeh Torng
Using an Unsupervized Neural Network and Decision Tree as Knowledge Acquisition Tools for Fms Scheduling. Int. J. Syst. Sci. 28 (10) (1997)