蔡 志豐

研究成果

每年研究成果 2003 2009 2010 2012 2013 2014 2015 2016 2021 2023

• 124 期刊論文
• 14 會議論文篇章
• 7 回顧評介論文
• 5 篇章
• 2 更多
  • 2 會議論文

每年研究成果

每年研究成果

搜尋結果

• 2023

  Instance selection using one-versus-all and one-versus-one decomposition approaches in multiclass classification datasets

  Fang, C. L., Wang, M. C., Tsai, C. F., Lin, W. C. & Liao, P. Q., 2023, (已被接受) 於: Expert Systems.

  研究成果: 雜誌貢獻 › 期刊論文 › 同行評審

  • Multi-class Classification 100%
  • Decomposition 46%
  • Decompose 41%
  • Multi-class 23%
  • Classifiers 22%

• Majority re-sampling via sub-class clustering for imbalanced datasets

  Ke, S. W., Tsai, C. F., Pan, Y. Y. & Lin, W. C., 2023, (已被接受) 於: Journal of Experimental and Theoretical Artificial Intelligence.

  研究成果: 雜誌貢獻 › 期刊論文 › 同行評審

  • Resampling 100%
  • Clustering 85%
  • Sampling 62%
  • Classifiers 42%
  • Clustering algorithms 26%

• Towards hybrid over- and under-sampling combination methods for class imbalanced datasets: an experimental study

  Lin, C., Tsai, C. F. & Lin, W. C., 2月 2023, 於: Artificial Intelligence Review. 56, 2, p. 845-863 19 p.

  研究成果: 雜誌貢獻 › 期刊論文 › 同行評審

  • Sampling 100%
  • Experimental Study 91%
  • minority 16%
  • experiment 14%
  • Resampling 12%
  1 引文 斯高帕斯（Scopus）
• 2022

  A dynamic time warping approach for handling class imbalanced medical datasets with missing values: A case study of protein localization site prediction

  Hung, L. C., Hu, Y. H., Tsai, C. F. & Huang, M. W., 15 4月 2022, 於: Expert Systems with Applications. 192, 116437.

  研究成果: 雜誌貢獻 › 期刊論文 › 同行評審

  • Proteins 100%
  • Statistical Models 33%
  • Machine learning 26%
  • Classifiers 25%
  • Costs 13%
  2 引文 斯高帕斯（Scopus）

• An investigation of solutions for handling incomplete online review datasets with missing values

  Hu, Y. H. & Tsai, C. F., 2022, 於: Journal of Experimental and Theoretical Artificial Intelligence. 34, 6, p. 971-987 17 p.

  研究成果: 雜誌貢獻 › 期刊論文 › 同行評審

  • Missing Values 100%
  • Imputation 98%
  • Review 60%
  • Case Deletion 40%
  • Prediction 33%

• Deep learning for missing value imputation of continuous data and the effect of data discretization

  Lin, W. C., Tsai, C. F. & Zhong, J. R., 5 3月 2022, 於: Knowledge-Based Systems. 239, 108079.

  研究成果: 雜誌貢獻 › 期刊論文 › 同行評審

  • Missing Values 100%
  • Deep Learning 97%
  • Imputation 91%
  • Discretization 90%
  • Bayesian networks 71%
  15 引文 斯高帕斯（Scopus）

• Empirical comparison of supervised learning techniques for missing value imputation

  Tsai, C. F. & Hu, Y. H., 4月 2022, 於: Knowledge and Information Systems. 64, 4, p. 1047-1075 29 p.

  研究成果: 雜誌貢獻 › 期刊論文 › 同行評審

  • Supervised learning 100%
  • Machine learning 34%
  • Multilayer neural networks 16%
  • Statistical methods 13%
  • Data mining 13%
  4 引文 斯高帕斯（Scopus）

• Factors affecting text mining based stock prediction: Text feature representations, machine learning models, and news platforms

  Lin, W. C., Tsai, C. F. & Chen, H., 11月 2022, 於: Applied Soft Computing Journal. 130, 109673.

  研究成果: 雜誌貢獻 › 期刊論文 › 同行評審

  • Text mining 100%
  • Machine learning 63%
  • Financial markets 20%
  • Deep learning 15%
  • Industry 7%

• Missing value imputation and the effect of feature normalisation on financial distress prediction

  Sue, K. L., Tsai, C. F. & Tsau, H. M., 2022, (已被接受) 於: Journal of Experimental and Theoretical Artificial Intelligence.

  研究成果: 雜誌貢獻 › 期刊論文 › 同行評審

  • Missing Values 100%
  • Imputation 98%
  • Normalization 83%
  • Prediction 67%
  • Random forests 44%

• Role of Comprehensive Income in Predicting Bankruptcy

  Rahmi, A., Lu, H. Y., Liang, D., Novitasari, D. & Tsai, C. F., 2022, (已被接受) 於: Computational Economics.

  研究成果: 雜誌貢獻 › 期刊論文 › 同行評審

  • Comprehensive Income 100%
  • Bankruptcy Prediction 67%
  • Bankruptcy 63%
  • Other Comprehensive Income 26%
  • Benchmark 25%
• 2021

  Combining feature selection, instance selection, and ensemble classification techniques for improved financial distress prediction

  Tsai, C-F., Sue, K. L., Hu, Y-H. & Chiu, A., 6月 2021, 於: Journal of Business Research. 130, p. 200-209 10 p.

  研究成果: 雜誌貢獻 › 期刊論文 › 同行評審

  • Feature Selection 100%
  • Bankruptcy Prediction 82%
  • Credit Scoring 78%
  • Classifier 73%
  • Financial Distress 66%
  15 引文 斯高帕斯（Scopus）

• Cube of space sampling for 3D model retrieval

  Chen, Z. Y., Tsai, C. F. & Lin, W. C., 1 12月 2021, 於: Applied Sciences (Switzerland). 11, 23, 11142.

  研究成果: 雜誌貢獻 › 期刊論文 › 同行評審

  開啟存取

  • Cubic Crystal 100%
  • retrieval 96%
  • sampling 76%
  • Sampling 75%
  • pattern recognition 11%
  1 引文 斯高帕斯（Scopus）

• Data cleaning issues in class imbalanced datasets: instance selection and missing values imputation for one-class classifiers

  Wang, Z., Tsai, C. F. & Lin, W. C., 11 10月 2021, 於: Data Technologies and Applications. 55, 5, p. 771-787 17 p.

  研究成果: 雜誌貢獻 › 期刊論文 › 同行評審

  • Cleaning 100%
  • Classifiers 75%
  • performance 16%
  • Anomaly detection 15%
  • Decision trees 14%
  2 引文 斯高帕斯（Scopus）

• Feature selection and ensemble learning techniques in one-class classifiers: An empirical study of two-class imbalanced datasets

  Tsai, C. F. & Lin, W. C., 2021, 於: IEEE Access. 9, p. 13717-13726 10 p., 9326335.

  研究成果: 雜誌貢獻 › 期刊論文 › 同行評審

  開啟存取

  • Classifier 100%
  • Learning systems 74%
  • Statistical Ensemble 72%
  • Feature extraction 56%
  • Classifiers 51%
  8 引文 斯高帕斯（Scopus）

• Instance selection in medical datasets: A divide-and-conquer framework

  Huang, M. W., Tsai, C. F. & Lin, W. C., 3月 2021, 於: Computers and Electrical Engineering. 90, 106957.

  研究成果: 雜誌貢獻 › 期刊論文 › 同行評審

  • Classifiers 100%
  • Data mining 58%
  • Experiments 25%
  5 引文 斯高帕斯（Scopus）

• On combining feature selection and over-sampling techniques for breast cancer prediction

  Huang, M. W., Chiu, C. H., Tsai, C. F. & Lin, W. C., 2 7月 2021, 於: Applied Sciences (Switzerland). 11, 14, 6574.

  研究成果: 雜誌貢獻 › 期刊論文 › 同行評審

  開啟存取

  • breast 100%
  • cancer 88%
  • sampling 78%
  • Feature extraction 72%
  • Sampling 66%
  7 引文 斯高帕斯（Scopus）

• Solving regression problems with intelligent machine learner for engineering informatics

  Chou, J. S., Truong, D. N. & Tsai, C. F., 2 3月 2021, 於: Mathematics. 9, 6, 686.

  研究成果: 雜誌貢獻 › 期刊論文 › 同行評審

  開啟存取

  • Engineering 100%
  • Regression 94%
  • Ensemble 40%
  • Model 40%
  • Regression Model 33%
  8 引文 斯高帕斯（Scopus）

• The data sampling effect on financial distress prediction by single and ensemble learning techniques

  Sue, K. L., Tsai, C-F. & Chiu, A., 2021, (已被接受) 於: Communications in Statistics - Theory and Methods.

  研究成果: 雜誌貢獻 › 期刊論文 › 同行評審

  • Ensemble Learning 100%
  • Prediction Model 71%
  • Type II error 47%
  • Prediction 44%
  • Classifier Ensemble 37%
  1 引文 斯高帕斯（Scopus）

• Towards missing electric power data imputation for energy management systems

  Wang, M. C., Tsai, C. F. & Lin, W. C., 15 7月 2021, 於: Expert Systems with Applications. 174, 114743.

  研究成果: 雜誌貢獻 › 期刊論文 › 同行評審

  • Energy management systems 100%
  • Machine learning 63%
  • Statistical methods 54%
  • Support vector regression 50%
  • Interpolation 36%
  11 引文 斯高帕斯（Scopus）
• 2020

  Association rule mining for the ordered placement of traditional Chinese medicine containers: An experimental study

  Chen, C. W., Tsai, C. F., Tsai, Y. H., Wu, Y. C. & Chang, F. R., 1 5月 2020, 於: Medicine (United States). 99, 18, p. e20090

  研究成果: 雜誌貢獻 › 期刊論文 › 同行評審

  開啟存取

  • Chinese Traditional Medicine 100%
  • Pharmacists 93%
  • Herbal Medicine 78%
  • Prescriptions 39%
  • Datasets 37%
  5 引文 斯高帕斯（Scopus）

• Combining corporate governance indicators with stacking ensembles for financial distress prediction

  Liang, D., Tsai, C. F., Lu, H. Y. & Chang, L. S., 11月 2020, 於: Journal of Business Research. 120, p. 137-146 10 p.

  研究成果: 雜誌貢獻 › 期刊論文 › 同行評審

  • Corporate Governance 100%
  • Financial Distress 69%
  • Prediction 52%
  • Financial Ratios 35%
  • Discriminant Analysis 16%
  30 引文 斯高帕斯（Scopus）

• Ensemble feature selection in high dimension, low sample size datasets: Parallel and serial combination approaches

  Tsai, C. F. & Sung, Y. T., 5 9月 2020, 於: Knowledge-Based Systems. 203, 106097.

  研究成果: 雜誌貢獻 › 期刊論文 › 同行評審

  • Feature Selection 100%
  • Sample Size 84%
  • Serials 67%
  • Feature extraction 47%
  • Genetic Algorithm 14%
  39 引文 斯高帕斯（Scopus）

• Improving text summarization of online hotel reviews with review helpfulness and sentiment

  Tsai, C. F., Chen, K., Hu, Y. H. & Chen, W. K., 10月 2020, 於: Tourism Management. 80, 104122.

  研究成果: 雜誌貢獻 › 期刊論文 › 同行評審

  • Text Summarization 100%
  • Hotels 61%
  • Sentiment 51%
  • information processing 50%
  • experiment 30%
  50 引文 斯高帕斯（Scopus）

• Integrating feature and instance selection techniques in opinion mining

  You, Z. H., Hu, Y. H., Tsai, C. F. & Kuo, Y. M., 1 7月 2020, 於: International Journal of Data Warehousing and Mining. 16, 3, p. 168-182 15 p.

  研究成果: 雜誌貢獻 › 期刊論文 › 同行評審

  • Sentiment analysis 100%
  • Feature extraction 69%
  • Classifiers 15%
  5 引文 斯高帕斯（Scopus）

• Missing value imputation: a review and analysis of the literature (2006–2017)

  Lin, W. C. & Tsai, C. F., 1 2月 2020, 於: Artificial Intelligence Review. 53, 2, p. 1487-1509 23 p.

  研究成果: 雜誌貢獻 › 期刊論文 › 同行評審

  • Design of experiments 100%
  • literature 44%
  • Experimental Design 27%
  • Incomplete 23%
  • Reviewing 23%
  142 引文 斯高帕斯（Scopus）

• The feature selection effect on missing value imputation of medical datasets

  Liu, C. H., Tsai, C. F., Sue, K. L. & Huang, M. W., 1 4月 2020, 於: Applied Sciences (Switzerland). 10, 7, 2344.

  研究成果: 雜誌貢獻 › 期刊論文 › 同行評審

  開啟存取

  • Feature extraction 100%
  • Dimension 97%
  • Pattern Recognition 77%
  • Decision trees 25%
  • machine learning 23%
  17 引文 斯高帕斯（Scopus）

• Two-stage hybrid learning techniques for bankruptcy prediction*

  Tsai, C. F., 1 12月 2020, 於: Statistical Analysis and Data Mining. 13, 6, p. 565-572 8 p.

  研究成果: 雜誌貢獻 › 期刊論文 › 同行評審

  • Hybrid Learning 100%
  • Bankruptcy 73%
  • K-means 44%
  • Support Vector Machine 40%
  • Prediction 38%
  3 引文 斯高帕斯（Scopus）
• 2019

  Feature selection in single and ensemble learning-based bankruptcy prediction models

  Lin, W. C., Lu, Y. H. & Tsai, C. F., 1 2月 2019, 於: Expert Systems. 36, 1, e12335.

  研究成果: 雜誌貢獻 › 期刊論文 › 同行評審

  • Ensemble Learning 100%
  • Bankruptcy 84%
  • Feature Selection 74%
  • Prediction Model 71%
  • Learning systems 56%
  30 引文 斯高帕斯（Scopus）

• The optimal combination of feature selection and data discretization: An empirical study

  Tsai, C. F. & Chen, Y. C., 12月 2019, 於: Information Sciences. 505, p. 282-293 12 p.

  研究成果: 雜誌貢獻 › 期刊論文 › 同行評審

  • Feature Selection 100%
  • Discretization 78%
  • Empirical Study 70%
  • Feature extraction 47%
  • Binning 46%
  38 引文 斯高帕斯（Scopus）

• Under-sampling class imbalanced datasets by combining clustering analysis and instance selection

  Tsai, C. F., Lin, W. C., Hu, Y. H. & Yao, G. T., 3月 2019, 於: Information Sciences. 477, p. 47-54 8 p.

  研究成果: 雜誌貢獻 › 期刊論文 › 同行評審

  • Clustering Analysis 100%
  • Sampling 67%
  • Classifiers 45%
  • Ensemble Classifier 30%
  • Classifier 28%
  150 引文 斯高帕斯（Scopus）
• 2018

  A class center based approach for missing value imputation

  Tsai, C. F., Li, M. L. & Lin, W. C., 1 7月 2018, 於: Knowledge-Based Systems. 151, p. 124-135 12 p.

  研究成果: 雜誌貢獻 › 期刊論文 › 同行評審

  • Missing Values 100%
  • Imputation 91%
  • Machine learning 51%
  • Machine Learning 25%
  • Statistical methods 19%
  64 引文 斯高帕斯（Scopus）

• A novel classifier ensemble approach for financial distress prediction

  Liang, D., Tsai, C. F., Dai, A. J. & Eberle, W., 1 2月 2018, 於: Knowledge and Information Systems. 54, 2, p. 437-462 26 p.

  研究成果: 雜誌貢獻 › 期刊論文 › 同行評審

  • Classifiers 100%
  • Costs 16%
  • Machine learning 10%
  34 引文 斯高帕斯（Scopus）

• Improvement of Adequate Digoxin Dosage: An Application of Machine Learning Approach

  Hu, Y. H., Tai, C. T., Tsai, C. F. & Huang, M. W., 2018, 於: Journal of Healthcare Engineering. 2018, 3948245.

  研究成果: 雜誌貢獻 › 期刊論文 › 同行評審

  開啟存取

  • Drug interactions 100%
  • Digoxin 94%
  • Machine Learning 90%
  • Multilayer neural networks 81%
  • Machine learning 58%
  15 引文 斯高帕斯（Scopus）

• Outlier Removal in Model-Based Missing Value Imputation for Medical Datasets

  Huang, M. W., Lin, W. C. & Tsai, C. F., 2018, 於: Journal of Healthcare Engineering. 2018, 1817479.

  研究成果: 雜誌貢獻 › 期刊論文 › 同行評審

  開啟存取

  • Datasets 100%
  19 引文 斯高帕斯（Scopus）
• 2017

  Clustering-based undersampling in class-imbalanced data

  Lin, W. C., Tsai, C. F., Hu, Y. H. & Jhang, J. S., 1 10月 2017, 於: Information Sciences. 409-410, p. 17-26 10 p.

  研究成果: 雜誌貢獻 › 期刊論文 › 同行評審

  • Clustering 100%
  • Classifiers 74%
  • Classifier 55%
  • Classifier Ensemble 47%
  • Data Preprocessing 38%
  411 引文 斯高帕斯（Scopus）

• Soft estimation by hierarchical classification and regression

  Ke, S. W., Lin, W. C., Tsai, C. F. & Hu, Y. H., 19 4月 2017, 於: Neurocomputing. 234, p. 27-37 11 p.

  研究成果: 雜誌貢獻 › 期刊論文 › 同行評審

  • Support Vector Machine 100%
  • Computer Neural Networks 71%
  • Data Mining 66%
  • Multilayer neural networks 55%
  • Data mining 45%
  8 引文 斯高帕斯（Scopus）

• SVM and SVM ensembles in breast cancer prediction

  Huang, M. W., Chen, C. W., Lin, W. C., Ke, S. W. & Tsai, C. F., 1月 2017, 於: PLoS ONE. 12, 1, 0161501.

  研究成果: 雜誌貢獻 › 期刊論文 › 同行評審

  開啟存取

  • support vector machines 100%
  • Support Vector Machine 94%
  • breast neoplasms 88%
  • Classifier 88%
  • Statistical Ensemble 76%
  180 引文 斯高帕斯（Scopus）

• When should we ignore examples with missing values?

  Lin, W. C., Ke, S. W. & Tsai, C. F., 1 10月 2017, 於: International Journal of Data Warehousing and Mining. 13, 4, p. 53-63 11 p.

  研究成果: 雜誌貢獻 › 期刊論文 › 同行評審

  • Decision trees 100%
  • Data mining 85%
  • Degradation 71%
  2 引文 斯高帕斯（Scopus）
• 2016

  (3, n)-visual secret sharing scheme with unexpanded shares

  Hou, Y. C., Quan, Z. Y., Tsai, C. F. & Wang, D. S., 1 3月 2016, 於: Jisuanji Xuebao/Chinese Journal of Computers. 39, 3, p. 441-453 13 p.

  研究成果: 雜誌貢獻 › 期刊論文 › 同行評審

  • Cryptography 100%
  • Transparency 62%
  • Decoding 51%
  • Pixels 45%
  2 引文 斯高帕斯（Scopus）

• 3D model retrieval by sample based alignment

  Chen, Z. Y., Lin, W. C., Tsai, C. F. & Ke, S. W., 1 10月 2016, 於: Journal of Visual Communication and Image Representation. 40, Part B, p. 721-731 11 p.

  研究成果: 雜誌貢獻 › 期刊論文 › 同行評審
  3 引文 斯高帕斯（Scopus）

• Applying machine learning techniques to the identification of late-onset hypogonadism in elderly men

  Lu, T., Hu, Y. H., Tsai, C. F., Liu, S. P. & Chen, P. L., 1 12月 2016, 於: SpringerPlus. 5, 1, 729.

  研究成果: 雜誌貢獻 › 期刊論文 › 同行評審

  開啟存取

  • Hypogonadism 100%
  • Machine Learning 95%
  • Elderly 57%
  • Androgens 46%
  • Decision Trees 41%
  6 引文 斯高帕斯（Scopus）

• Big data mining with parallel computing: A comparison of distributed and MapReduce methodologies

  Tsai, C. F., Lin, W. C. & Ke, S. W., 1 12月 2016, 於: Journal of Systems and Software. 122, p. 83-92 10 p.

  研究成果: 雜誌貢獻 › 期刊論文 › 同行評審

  • Parallel processing systems 100%
  • Big data 88%
  • Data mining 81%
  • Cloud computing 43%
  • Set theory 31%
  68 引文 斯高帕斯（Scopus）

• Building an associative classifier with multiple minimum supports

  Hu, L. Y., Hu, Y. H., Tsai, C. F., Wang, J. S. & Huang, M. W., 1 12月 2016, 於: SpringerPlus. 5, 1, 528.

  研究成果: 雜誌貢獻 › 期刊論文 › 同行評審

  開啟存取

  • Classifiers 100%
  • Association rules 30%
  • Data mining 23%
  • Machine learning 20%
  • Experiments 10%
  13 引文 斯高帕斯（Scopus）

• Combining instance selection for better missing value imputation

  Tsai, C. F. & Chang, F. Y., 1 12月 2016, 於: Journal of Systems and Software. 122, p. 63-71 9 p.

  研究成果: 雜誌貢獻 › 期刊論文 › 同行評審

  • Data mining 100%
  • Classifiers 85%
  45 引文 斯高帕斯（Scopus）

• Data preprocessing issues for incomplete medical datasets

  Huang, M. W., Lin, W. C., Chen, C. W., Ke, S. W., Tsai, C. F. & Eberle, W., 1 10月 2016, 於: Expert Systems. 33, 5, p. 432-438 7 p.

  研究成果: 雜誌貢獻 › 期刊論文 › 同行評審

  • Data Preprocessing 100%
  • Imputation 71%
  • Data mining 50%
  • Feature extraction 46%
  • Missing Values 36%
  22 引文 斯高帕斯（Scopus）

• Financial ratios and corporate governance indicators in bankruptcy prediction: A comprehensive study

  Liang, D., Lu, C. C., Tsai, C. F. & Shih, G. A., 16 7月 2016, 於: European Journal of Operational Research. 252, 2, p. 561-572 12 p.

  研究成果: 雜誌貢獻 › 期刊論文 › 同行評審

  • Governance 100%
  • Corporate Governance 85%
  • Bankruptcy 83%
  • Bankruptcy Prediction 73%
  • Financial Ratios 60%
  153 引文 斯高帕斯（Scopus）

• Intangible assets evaluation: The machine learning perspective

  Tsai, C. F., Lu, Y. H., Hung, Y. C. & Yen, D. C., 29 1月 2016, 於: Neurocomputing. 175, PartA, p. 110-120 11 p.

  研究成果: 雜誌貢獻 › 期刊論文 › 同行評審

  • Decision Trees 100%
  • Machine Learning 90%
  • ROC Curve 68%
  • Machine learning 58%
  • Classifiers 56%
  16 引文 斯高帕斯（Scopus）

• Keypoint selection for efficient bag-of-words feature generation and effective image classification

  Lin, W. C., Tsai, C. F., Chen, Z. Y. & Ke, S. W., 1 2月 2016, 於: Information Sciences. 329, p. 33-51 19 p.

  研究成果: 雜誌貢獻 › 期刊論文 › 同行評審

  • Image Classification 100%
  • Vector quantization 68%
  • Image classification 65%
  • Vector Quantization 38%
  • Quantization 35%
  36 引文 斯高帕斯（Scopus）

• Research impact of general and funded papers: A citation analysis of two ACM international conference proceeding series

  Shen, C. C., Hu, Y. H., Lin, W. C., Tsai, C. F. & Ke, S. W., 8 8月 2016, 於: Online Information Review. 40, 4, p. 472-480 9 p.

  研究成果: 雜誌貢獻 › 期刊論文 › 同行評審

  • impact research 100%
  • funding 26%
  • maturity 19%
  • methodology 9%
  5 引文 斯高帕斯（Scopus）

• Research performance of AACSB accredited institutions in Taiwan: before versus after accreditation

  Ke, S. W., Lin, W. C. & Tsai, C. F., 1 12月 2016, 於: SpringerPlus. 5, 1, 1285.

  研究成果: 雜誌貢獻 › 期刊論文 › 同行評審

  開啟存取

  • accreditation 100%
  • Taiwan 90%
  • performance 49%
  • business school 25%
  • Teaching 25%
  14 引文 斯高帕斯（Scopus）