Real AdaBoost for large vocabulary image classification. - Wei-Chao Lin; Michael P. Oakes; John Tait (CBMI, 2008)

A Comparative Study of Global and Local Feature Representations in Image Database Categorization. - Chih-Fong Tsai; Wei-Chao Lin (NCM, 2009)

Improving image annotation via useful representative feature selection. - Wei-Chao Lin; Michael P. Oakes; John Tait; Chih-Fong Tsai (Cogn. Process., 2009)

Improving image annotation via representative feature vector selection. - Wei-Chao Lin; Michael P. Oakes; John Tait (Neurocomputing, 2010)

Boosting image annotation. - Wei-Chao Lin (2010)

Novel Cloud Service for Improving World Universities Ranking. - Shu-Ming Hsieh; Ssu-An Lo; Chiun-Chieh Hsu; Wei-Chao Lin (ITNG, 2012)

Scenery Image Retrieval by Meta-Feature Representation. - Chih-Fong Tsai; Wei-Chao Lin (Online Inf. Rev., 2012)

Dimensionality and data reduction in telecom churn prediction. - Wei-Chao Lin; Chih-Fong Tsai; Shih-Wen Ke (Kybernetes, 2014)

Citation impact analysis of research papers that appear in oral and poster sessions: A case study of three computer science conferences. - Shih-Wen Ke; Wei-Chao Lin; Chih-Fong Tsai; Ya-Han Hu (Online Inf. Rev., 2014)

The Identification of Prolonged Length of Stay for Surgery Patients. - Mao-Te Chuang; Ya-Han Hu; Chih-Fong Tsai; Chia-Lun Lo; Wei-Chao Lin (SMC, 2015)

On learning dual classifiers for better data classification. - Wei-Chao Lin; Chih-Fong Tsai; Shih-Wen Ke; Mon-Loon You (Appl. Soft Comput., 2015)

Evolutionary feature and instance selection for traffic sign recognition. - Zong-Yao Chen; Wei-Chao Lin; Shih-Wen Ke; Chih-Fong Tsai (Comput. Ind., 2015)

The effect of low-level image features on pseudo relevance feedback. - Wei-Chao Lin; Zong-Yao Chen; Shih-Wen Ke; Chih-Fong Tsai; Wei-Yang Lin (Neurocomputing, 2015)

Learning to detect representative data for large scale instance selection. - Wei-Chao Lin; Chih-Fong Tsai; Shih-Wen Ke; Chia-Wen Hung; William Eberle (J. Syst. Softw., 2015)

CANN: An intrusion detection system based on combining cluster centers and nearest neighbors. - Wei-Chao Lin; Shih-Wen Ke; Chih-Fong Tsai (Knowl. Based Syst., 2015)

Correlation analysis for comparison of the citation impact of journals, magazines, and conferences in computer science. - Wei-Chao Lin; Chih-Fong Tsai; Shih-Wen Ke (Online Inf. Rev., 2015)

Instance selection by genetic-based biological algorithm. - Zong-Yao Chen; Chih-Fong Tsai; William Eberle; Wei-Chao Lin; Shih-Wen Ke (Soft Comput., 2015)

SAFQuery: a simple and flexible advanced Web search interface. - Wei-Chao Lin; Shih-Wen Ke; Chih-Fong Tsai (Electron. Libr., 2016)

Data preprocessing issues for incomplete medical datasets. - Min-Wei Huang; Wei-Chao Lin; Chih-Wen Chen; Shih-Wen Ke; Chih-Fong Tsai; William Eberle (Expert Syst. J. Knowl. Eng., 2016)

Keypoint selection for efficient bag-of-words feature generation and effective image classification. - Wei-Chao Lin; Chih-Fong Tsai; Zong-Yao Chen; Shih-Wen Ke (Inf. Sci., 2016)

Big data mining with parallel computing: A comparison of distributed and MapReduce methodologies. - Chih-Fong Tsai; Wei-Chao Lin; Shih-Wen Ke (J. Syst. Softw., 2016)

3D model retrieval by sample based alignment. - Zong-Yao Chen; Wei-Chao Lin; Chih-Fong Tsai; Shih-Wen Ke (J. Vis. Commun. Image Represent., 2016)

Research impact of general and funded papers: A citation analysis of two ACM international conference proceeding series. - Cheng-Che Shen; Ya-Han Hu; Wei-Chao Lin; Chih-Fong Tsai; Shih-Wen Ke (Online Inf. Rev., 2016)

Early versus Late Dimensionality Reduction of Bag-of-Words Feature Representation for Image Classification. - Chih-Fong Tsai; Ya-Han Hu; Wei-Chao Lin; Ming-Chang Wang (ICBRA, 2017)

Soft estimation by hierarchical classification and regression. - Shih-Wen Ke; Wei-Chao Lin; Chih-Fong Tsai; Ya-Han Hu (Neurocomputing, 2017)

Clustering-based undersampling in class-imbalanced data. - Wei-Chao Lin; Chih-Fong Tsai; Ya-Han Hu; Jing-Shang Jhang (Inf. Sci., 2017)

When Should We Ignore Examples with Missing Values? - Wei-Chao Lin; Shih-Wen Ke; Chih-Fong Tsai (Int. J. Data Warehous. Min., 2017)

Top 10 data mining techniques in business applications: a brief survey. - Wei-Chao Lin; Shih-Wen Ke; Chih-Fong Tsai (Kybernetes, 2017)

On image search result aggregation. - Wei-Chao Lin (Pattern Anal. Appl., 2017)

A class center based approach for missing value imputation. - Chih-Fong Tsai; Miao-Ling Li; Wei-Chao Lin (Knowl. Based Syst., 2018)

Aggregation of Multiple Pseudo Relevance Feedbacks for Image Search Re-Ranking. - Wei-Chao Lin (IEEE Access, 2019)

Feature selection in single and ensemble learning-based bankruptcy prediction models. - Wei-Chao Lin; Yu-Hsin Lu; Chih-Fong Tsai (Expert Syst. J. Knowl. Eng., 2019)

Under-sampling class imbalanced datasets by combining clustering analysis and instance selection. - Chih-Fong Tsai; Wei-Chao Lin; Ya-Han Hu; Guan-Ting Yao (Inf. Sci., 2019)

Missing value imputation: a review and analysis of the literature (2006-2017). - Wei-Chao Lin; Chih-Fong Tsai (Artif. Intell. Rev., 2020)

Ensemble feature selection in medical datasets: Combining filter, wrapper, and embedded feature selection results. - Chih-Wen Chen; Yi-Hong Tsai; Fang-Rong Chang; Wei-Chao Lin (Expert Syst. J. Knowl. Eng., 2020)

Feature Selection and Ensemble Learning Techniques in One-Class Classifiers: An Empirical Study of Two-Class Imbalanced Datasets. - Chih-Fong Tsai; Wei-Chao Lin (IEEE Access, 2021)

Instance selection in medical datasets: A divide-and-conquer framework. - Min-Wei Huang; Chih-Fong Tsai; Wei-Chao Lin (Comput. Electr. Eng., 2021)

Towards missing electric power data imputation for energy management systems. - Ming-Chang Wang; Chih-Fong Tsai; Wei-Chao Lin (Expert Syst. Appl., 2021)

Data cleaning issues in class imbalanced datasets: instance selection and missing values imputation for one-class classifiers. - Zhenyuan Wang; Chih-Fong Tsai; Wei-Chao Lin (Data Technol. Appl., 2021)

Factors affecting text mining based stock prediction: Text feature representations, machine learning models, and news platforms. - Wei-Chao Lin; Chih-Fong Tsai; Hsuan Chen (Appl. Soft Comput., 2022)

Block-based pseudo-relevance feedback for image retrieval. - Wei-Chao Lin (J. Exp. Theor. Artif. Intell., 2022)

Deep learning for missing value imputation of continuous data and the effect of data discretization. - Wei-Chao Lin; Chih-Fong Tsai; Jia Rong Zhong (Knowl. Based Syst., 2022)

A Novel Prediction Approach for Effective Medical Data Mining. - Chih-Fong Tsai; Ming-Chang Wang; Wei-Chao Lin (ICMHI, 2023)

Towards hybrid over- and under-sampling combination methods for class imbalanced datasets: an experimental study. - Cian Lin; Chih-Fong Tsai; Wei-Chao Lin (Artif. Intell. Rev., 2023)

Instance selection using one-versus-all and one-versus-one decomposition approaches in multiclass classification datasets. - Ching-Lin Fang; Ming-Chang Wang; Chih-Fong Tsai; Wei-Chao Lin; Pei-Qi Liao (Expert Syst. J. Knowl. Eng., 2023)

Feature selection and its combination with data over-sampling for multi-class imbalanced datasets. - Chih-Fong Tsai; Kuan-Chen Chen; Wei-Chao Lin (Appl. Soft Comput., 2024)

Majority re-sampling via sub-class clustering for imbalanced datasets. - Shih-Wen Ke; Chih-Fong Tsai; Yi-Ying Pan; Wei-Chao Lin (J. Exp. Theor. Artif. Intell., 2024)

Predicting high increases in stock prices using text mining and data resampling techniques. - Chih-Fong Tsai; Ming-Chang Wang; Wei-Chao Lin; Xin-Yu Zheng (Appl. Soft Comput., 2025)