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2020 – today
- 2023
[j65]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: 110406 (2023)- [j64]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: 113996 (2023) - [j63]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: 126408 (2023) - 2022
- [j62]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): 322 (2022) - [j61]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: 1391-1407 (2022) - [j60]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): 567 (2022) - 2020
- [j59]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: 106185 (2020) - [j58]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): 642-654 (2020)
2010 – 2019
- 2019
- [j57]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): 2805-2822 (2019) - [j56]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): 11883-11900 (2019) - [c8]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: 567-572 - 2018
- [j55]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): 170-180 (2018) - [j54]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: 66-76 (2018) - [j53]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: 75-87 (2018) - [j52]Der-Chiang Li, Hung-Yu Chen, Qi-Shi Shi:
Learning from small datasets containing nominal attributes. Neurocomputing 291: 226-236 (2018) - [j51]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): 4954-4967 (2018) - 2017
- [j50]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): 1898-1913 (2017) - 2016
- [j49]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): 1261-1272 (2016) - [c7]Hung-Yu Chen, Der-Chiang Li, Liang-Sian Lin:
Extending Sample Information for Small Data Set Prediction. IIAI-AAI 2016: 710-714 - [c6]Liang-Sian Lin, Der-Chiang Li, Chih-Wei Pan:
Improving Virtual Sample Generation for Small Sample Learning with Dependent Attributes. IIAI-AAI 2016: 715-718 - [c5]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: 725-729 - 2015
- [j48]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: 400-408 (2015) - [c4]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: 363-368 - [c3]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: 369-373 - [c2]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: 374-378 - [c1]Chun-Hao Tsai, Der-Chiang Li:
Improving Knowledge Acquisition Capability of M5' Model Tree on Small Datasets. ACIT-CSI 2015: 379-386 - 2014
- [j47]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: 139-145 (2014) - [j46]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: 286-295 (2014) - [j45]Der-Chiang Li, Liang-Sian Lin:
Generating information for small data sets with a multi-modal distribution. Decis. Support Syst. 66: 71-81 (2014) - [j44]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: 343-349 (2014) - [j43]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: 73-85 (2014) - [j42]Der-Chiang Li, I-Hsiang Wen:
A genetic algorithm-based virtual sample generation technique to improve small data set learning. Neurocomputing 143: 222-230 (2014) - 2013
- [j41]Der-Chiang Li, Liang-Sian Lin:
A new approach to assess product lifetime performance for small data sets. Eur. J. Oper. Res. 230(2): 290-298 (2013) - [j40]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): 225-233 (2013) - 2012
- [j39]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): 1117-1121 (2012) - [j38]Der-Chiang Li, Peng-Hsiang Hsu:
Solving a two-agent single-machine scheduling problem considering learning effect. Comput. Oper. Res. 39(7): 1644-1651 (2012) - [j37]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): 748-756 (2012) - [j36]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): 1575-1581 (2012) - [j35]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): 4020-4025 (2012) - [j34]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): 7093-7101 (2012) - [j33]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): 835-844 (2012) - [j32]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): 857-868 (2012) - [j31]Der-Chiang Li, Chiao-Wen Liu:
Extending Attribute Information for Small Data Set Classification. IEEE Trans. Knowl. Data Eng. 24(3): 452-464 (2012) - 2011
- [j30]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): 45-52 (2011) - [j29]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): 655-662 (2011) - [j28]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): 7186-7191 (2011) - 2010
- [j27]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): 509-518 (2010) - [j26]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): 93-102 (2010) - [j25]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): 121-130 (2010) - [j24]Chun-Wu Yeh, Der-Chiang Li:
A trend prediction model from very short term data learning. Expert Syst. Appl. 37(2): 1728-1733 (2010) - [j23]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): 3104-3110 (2010) - [j22]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): 3434-3443 (2010) - [j21]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): 6373-6380 (2010)
2000 – 2009
- 2009
- [j20]Der-Chiang Li, Chun-Wu Yeh, Che-Jung Chang:
An improved grey-based approach for early manufacturing data forecasting. Comput. Ind. Eng. 57(4): 1161-1167 (2009) - [j19]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): 844-851 (2009) - [j18]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): 2525-2533 (2009) - [j17]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): 6621-6626 (2009) - [j16]Der-Chiang Li, Chiao-Wen Liu:
A neural network weight determination model designed uniquely for small data set learning. Expert Syst. Appl. 36(6): 9853-9858 (2009) - [j15]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): 2740-2753 (2009) - 2008
- [j14]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): 169-184 (2008) - [j13]Der-Chang Li, Chun-Wu Yeh:
A non-parametric learning algorithm for small manufacturing data sets. Expert Syst. Appl. 34(1): 391-398 (2008) - [j12]Tung-I Tsai, Der-Chiang Li:
Approximate modeling for high order non-linear functions using small sample sets. Expert Syst. Appl. 34(1): 564-569 (2008) - [j11]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): 1983-1994 (2008) - [j10]Der-Chiang Li, Yao-Hwei Fang:
An algorithm to cluster data for efficient classification of support vector machines. Expert Syst. Appl. 34(3): 2013-2018 (2008) - [j9]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): 1293-1300 (2008) - 2007
- [j8]Der-Chiang Li, Fengming M. Chang:
An In-Out Combined Dynamic Weighted Round-Robin Method for Network Load Balancing. Comput. J. 50(5): 555-566 (2007) - [j7]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): 966-982 (2007) - [j6]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): 162-170 (2007) - [j5]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): 420-424 (2007) - 2006
- [j4]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: 1857-1869 (2006) - [j3]Der-Chang Li, Yao-San Lin:
Using virtual sample generation to build up management knowledge in the early manufacturing stages. Eur. J. Oper. Res. 175(1): 413-434 (2006) - 2005
- [j2]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: 2129-2145 (2005)
1990 – 1999
- 1997
- [j1]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): 977-985 (1997)
Coauthor Index
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