Der-Chiang Li

发表

Determination of the parameters in the dynamic weighted Round-Robin method for network load balancing

Der-Chiang Li, Chih-Sen Wu, Fengming M. Chang, 2005, Comput. Oper. Res..

A new virtual-sample-generating method based on the heuristics algorithm

Der-Chiang Li, Chih-Chieh Chang, I-Hsiang Wen, 2013, Proceedings of 2013 IEEE International Conference on Grey systems and Intelligent Services (GSIS).

Detecting representative data and generating synthetic samples to improve learning accuracy with imbalanced data sets

Chun-Wu Yeh, Der-Chiang Li, Susan C. Hu, 2017, PloS one.

Solving a two-agent single-machine scheduling problem considering learning effect

Der-Chiang Li, Peng-Hsiang Hsu, Der-Chiang Li, 2012, Comput. Oper. Res..

A genetic algorithm-based virtual sample generation technique to improve small data set learning

Der-Chiang Li, I-Hsiang Wen, Der-Chiang Li, 2014, Neurocomputing.

A Learning Approach with Under-and Over-Sampling for Imbalanced Data Sets

Chun-Wu Yeh, Der-Chiang Li, Liang-Sian Lin, 2016, 2016 5th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI).

Approximate modeling for high order non-linear functions using small sample sets

Der-Chiang Li, Tung-I Tsai, Der-Chiang Li, 2008, Expert Syst. Appl..

Using past manufacturing experience to assist building the yield forecast model for new manufacturing processes

Der-Chiang Li, Yao-Hwei Fang, Chiao-Wen Liu, 2012, J. Intell. Manuf..

Non-parametric Statistical Assistance in Virtual Sample Selection for Small Data Set Prediction

Der-Chiang Li, Liang-Sian Lin, Yao-San Lin, 2015, 2015 3rd International Conference on Applied Computing and Information Technology/2nd International Conference on Computational Science and Intelligence.

Generating Synthetic Samples to Improve Small Sample Learning with Mixed Numerical and Categorical Attributes

Der-Chiang Li, Hung-Yu Chen, Chien-Chih Chen, 2019, 2019 8th International Congress on Advanced Applied Informatics (IIAI-AAI).

An attribute extending method to improve learning performance for small datasets

Der-Chiang Li, Hung-Yu Chen, Liang-Sian Lin, 2018, Neurocomputing.

Using mega-fuzzification and data trend estimation in small data set learning for early FMS scheduling knowledge

Der-Chiang Li, Fengming M. Chang, Tung-I Tsai, 2006, Comput. Oper. Res..

Generating Multi-modality Virtual Samples with Soft DBSCAN for Small Data Set Learning

Der-Chiang Li, Liang-Sian Lin, Wei-Hao Yu, 2015, 2015 3rd International Conference on Applied Computing and Information Technology/2nd International Conference on Computational Science and Intelligence.

An algorithm to cluster data for efficient classification of support vector machines

Der-Chiang Li, Yao-Hwei Fang, Der-Chiang Li, 2008, Expert Syst. Appl..

Applying systematic diagnosis and product classification approaches to solve multiple products operational issues in shop-floor integration systems

Der-Chiang Li, Wen-Li Dai, 2010, Expert Syst. Appl..

Recursive operation time maximization model for the maintenance of power generation equipment

Der-Chiang Li, Tung-Liang Chen, Chiao-Wen Liu, 2012, Comput. Oper. Res..

An improved grey-based approach for early manufacturing data forecasting

Chun-Wu Yeh, Der-Chiang Li, Che-Jung Chang, 2009, Comput. Ind. Eng..

Using a system-diagnostic approach to solve information and operation issues in shop-floor integration systems

Der-Chiang Li, Wen-Li Dai, 2009, Expert Syst. Appl..

A trend prediction model from very short term data learning

Chun-Wu Yeh, Der-Chiang Li, 2010, Expert Syst. Appl..

Building reliability growth model using sequential experiments and the Bayesian theorem for small datasets

Der-Chiang Li, Fengming M. Chang, Kuei-Ching Chen, 2010, Expert Syst. Appl..

A new approach to assess product lifetime performance for small data sets

Der-Chiang Li, Liang-Sian Lin, Der-Chiang Li, 2013, Eur. J. Oper. Res..

A novel gray forecasting model based on the box plot for small manufacturing data sets

Der-Chiang Li, Yi-Hsiang Huang, Chien-Chih Chen, 2015, Appl. Math. Comput..

Generating Information-Diffusion-Based Virtual Samples to Improve Small Data Set Prediction for Ceramic Powder: A Case Study

Der-Chiang Li, Hung-Yu Chen, 2015, 2015 3rd International Conference on Applied Computing and Information Technology/2nd International Conference on Computational Science and Intelligence.

A latent information function to extend domain attributes to improve the accuracy of small-data-set forecasting

Der-Chiang Li, Chien-Chih Chen, Che-Jung Chang, 2014, Neurocomputing.

Employing box plots to build high-dimensional manufacturing models for new products in TFT-LCD plants

Der-Chiang Li, Chien-Chih Chen, Che-Jung Chang, 2014, Neurocomputing.

Extending Attribute Information for Small Data Set Classification

Der-Chiang Li, Chiao-Wen Liu, Der-Chiang Li, 2012, IEEE Transactions on Knowledge and Data Engineering.

Extending Sample Information for Small Data Set Prediction

Der-Chiang Li, Hung-Yu Chen, Liang-Sian Lin, 2016, 2016 5th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI).

The data complexity index to construct an efficient cross-validation method

Der-Chiang Li, Yao-Hwei Fang, Y. M. Frank Fang, 2010, Decis. Support Syst..

Sequent location information embedded grey model

Der-Chiang Li, Yi-Hsiang Huang, Yu-Ching Chang, 2013, Proceedings of 2013 IEEE International Conference on Grey systems and Intelligent Services (GSIS).

A non-linearly virtual sample generation technique using group discovery and parametric equations of hypersphere

Der-Chiang Li, Yao-Hwei Fang, Der-Chiang Li, 2009, Expert Syst. Appl..

A new method to help diagnose cancers for small sample size

Der-Chiang Li, Hung-Chang Hsu, Susan C. Hu, 2007, Expert Syst. Appl..

Integrating inductive learning with traditional optimization techniques to solve n/1/t scheduling problems

Der-Chiang Li, 1992 .

A yield forecast model for pilot products using support vector regression and manufacturing experience–the case of large-size polariser

Der-Chiang Li, Yao-Hwei Fang, Chiao-Wen Liu, 2010 .

Using an Unsupervized Neural Network and Decision Tree as Knowledge Acquisition Tools for Fms Scheduling

Der-Chiang Li, Chih-Sen Wu, Kuan-Yeh Torng, 1997, Int. J. Syst. Sci..

A learning method for small data sets with multimodality variables

Der-Chiang Li, Liang-Sian Lin, Yu-Ching Chang, 2013, Proceedings of 2013 IEEE International Conference on Grey systems and Intelligent Services (GSIS).

Utilize bootstrap in small data set learning for pilot run modeling of manufacturing systems

Der-Chiang Li, Tung-I Tsai, Der-Chiang Li, 2008, Expert Syst. Appl..

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, 2007, Comput. Oper. Res..

Generating information for small data sets with a multi-modal distribution

Der-Chiang Li, Liang-Sian Lin, Der-Chiang Li, 2014, Decis. Support Syst..

Improving Virtual Sample Generation for Small Sample Learning with Dependent Attributes

Der-Chiang Li, Liang-Sian Lin, Chih-Wei Pan, 2016, 2016 5th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI).

Using an electronic product code network to improve monitoring systems for continuous operating equipment — a thermal power plant example

Der-Chiang Li, Shiow-Yun Chang, T.-L. Chen, 2010 .

A new approach for manufacturing forecast problems with insufficient data: the case of TFT–LCDs

Der-Chiang Li, Chih-Chieh Chang, Wen-Chih Chen, 2013, J. Intell. Manuf..

A fuzzy-based data transformation for feature extraction to increase classification performance with small medical data sets

Der-Chiang Li, Susan C. Hu, Chiao-Wen Liu, 2011, Artif. Intell. Medicine.

A case study: The prediction of Taiwan's export of polyester fiber using small-data-set learning methods

Chun-Wu Yeh, Der-Chiang Li, Zheng-Yuan Li, 2008, Expert Syst. Appl..

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, 2012, Expert Syst. Appl..

A forecasting model for small non-equigap data sets considering data weights and occurrence possibilities

Der-Chiang Li, Chien-Chih Chen, Chia-Sheng Chen, 2014, Comput. Ind. Eng..

Steps for the advanced product quality planning approach to improve product quality: a case of fastener manufacturing

Der-Chiang Li, T. L. Chen, Shiow-Yun Chang, 2011 .

A class possibility based kernel to increase classification accuracy for small data sets using support vector machines

Der-Chiang Li, Chiao-Wen Liu, Der-Chiang Li, 2010, Expert Syst. Appl..

Using structure-based data transformation method to improve prediction accuracies for small data sets

Der-Chiang Li, Chih-Chieh Chang, Chiao-Wen Liu, 2012, Decis. Support Syst..

An In-Out Combined Dynamic Weighted Round-Robin Method for Network Load Balancing

Der-Chiang Li, Fengming M. Chang, Der-Chiang Li, 2007, Comput. J..

A prediction of the dielectric constant of multi-layer ceramic capacitors using the mega-trend-diffusion technique in powder pilot runs: case study

Der-Chiang Li, Tung-I Tsai, S. Shi, 2009 .

A two-stage clustering method to analyze customer characteristics to build discriminative customer management: A case of textile manufacturing business

Der-Chiang Li, Wan-Ting Tseng, Wen-Li Dai, 2011, Expert Syst. Appl..

Improving Knowledge Acquisition Capability of M5' Model Tree on Small Datasets

Der-Chiang Li, Chun-Hao Tsai, Der-Chiang Li, 2015, 2015 3rd International Conference on Applied Computing and Information Technology/2nd International Conference on Computational Science and Intelligence.

Scheduling ship discharging via knowledge transformed heuristic evaluation function

Der-Chiang Li, Chiang Kao, Chihsen Wu, 1992 .

Knowledge-based approach to the optimal dock arrangement

Der-Chiang Li, Chiang Kao, Chihsen Wu, 1990 .

A non-parametric learning algorithm for small manufacturing data sets

Chun-Wu Yeh, Der-Chiang Li, Der-Chiang Li, 2008, Expert Syst. Appl..

The Generalized-Trend-Diffusion modeling algorithm for small data sets in the early stages of manufacturing systems

Der-Chiang Li, Yao-San Lin, 2010, Eur. J. Oper. Res..

Utilization of virtual samples to facilitate cancer identification for DNA microarray data in the early stages of an investigation

Der-Chiang Li, Susan C. Hu, Yao-Hwei Fang, 2009, Inf. Sci..

Competitive Two-Agent Scheduling with Learning Effect and Release Times on a Single Machine

Der-Chiang Li, Peng-Hsiang Hsu, 2013 .