Wei-Chao Lin - RankMe

49 papers B 1C 1Journal 42Unranked 4

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Data Resampling and Feature Selection in Diabetes Prediction. Expert Syst. J. Knowl. Eng. Angela Shin-yu Lien, Ting-syuan Yeh, Chien-hsiung Huang, Wei-Chao Lin
2025	J	`jnl`	Predicting high increases in stock prices using text mining and data resampling techniques. Appl. Soft Comput. Chih-Fong Tsai, Ming-Chang Wang, Wei-Chao Lin, Xin-Yu Zheng
2024	J	`jnl`	Feature selection and its combination with data over-sampling for multi-class imbalanced datasets. Appl. Soft Comput. Chih-Fong Tsai, Kuan-Chen Chen, Wei-Chao Lin
2024	J	`jnl`	Majority re-sampling via sub-class clustering for imbalanced datasets. J. Exp. Theor. Artif. Intell. Shih-Wen Ke, Chih-Fong Tsai, Yi-Ying Pan, Wei-Chao Lin
2023	—	`conf`	A Novel Prediction Approach for Effective Medical Data Mining. ICMHI Chih-Fong Tsai, Ming-Chang Wang, Wei-Chao Lin
2023	J	`jnl`	Instance selection using one-versus-all and one-versus-one decomposition approaches in multiclass classification datasets. Expert Syst. J. Knowl. Eng. Ching-Lin Fang, Ming-Chang Wang, Chih-Fong Tsai, Wei-Chao Lin, Pei-Qi Liao
2023	J	`jnl`	Towards hybrid over- and under-sampling combination methods for class imbalanced datasets: an experimental study. Artif. Intell. Rev. Cian Lin, Chih-Fong Tsai, Wei-Chao Lin
2022	J	`jnl`	Block-based pseudo-relevance feedback for image retrieval. J. Exp. Theor. Artif. Intell. Wei-Chao Lin
2022	J	`jnl`	Deep learning for missing value imputation of continuous data and the effect of data discretization. Knowl. Based Syst. Wei-Chao Lin, Chih-Fong Tsai, Jia Rong Zhong
2022	J	`jnl`	Factors affecting text mining based stock prediction: Text feature representations, machine learning models, and news platforms. Appl. Soft Comput. Wei-Chao Lin, Chih-Fong Tsai, Hsuan Chen
2021	J	`jnl`	Data cleaning issues in class imbalanced datasets: instance selection and missing values imputation for one-class classifiers. Data Technol. Appl. Zhenyuan Wang, Chih-Fong Tsai, Wei-Chao Lin
2021	J	`jnl`	Feature Selection and Ensemble Learning Techniques in One-Class Classifiers: An Empirical Study of Two-Class Imbalanced Datasets. IEEE Access Chih-Fong Tsai, Wei-Chao Lin
2021	J	`jnl`	Instance selection in medical datasets: A divide-and-conquer framework. Comput. Electr. Eng. Min-Wei Huang, Chih-Fong Tsai, Wei-Chao Lin
2021	J	`jnl`	Towards missing electric power data imputation for energy management systems. Expert Syst. Appl. Ming-Chang Wang, Chih-Fong Tsai, Wei-Chao Lin
2020	J	`jnl`	Ensemble feature selection in medical datasets: Combining filter, wrapper, and embedded feature selection results. Expert Syst. J. Knowl. Eng. Chih-Wen Chen, Yi-Hong Tsai, Fang-Rong Chang, Wei-Chao Lin
2020	J	`jnl`	Missing value imputation: a review and analysis of the literature (2006-2017). Artif. Intell. Rev. Wei-Chao Lin, Chih-Fong Tsai
2019	J	`jnl`	Aggregation of Multiple Pseudo Relevance Feedbacks for Image Search Re-Ranking. IEEE Access Wei-Chao Lin
2019	J	`jnl`	Feature selection in single and ensemble learning-based bankruptcy prediction models. Expert Syst. J. Knowl. Eng. Wei-Chao Lin, Yu-Hsin Lu, Chih-Fong Tsai
2019	J	`jnl`	Under-sampling class imbalanced datasets by combining clustering analysis and instance selection. Inf. Sci. Chih-Fong Tsai, Wei-Chao Lin, Ya-Han Hu, Guan-Ting Yao
2018	J	`jnl`	A class center based approach for missing value imputation. Knowl. Based Syst. Chih-Fong Tsai, Miao-Ling Li, Wei-Chao Lin
2017	J	`jnl`	Clustering-based undersampling in class-imbalanced data. Inf. Sci. Wei-Chao Lin, Chih-Fong Tsai, Ya-Han Hu, Jing-Shang Jhang
2017	—	`conf`	Early versus Late Dimensionality Reduction of Bag-of-Words Feature Representation for Image Classification. ICBRA Chih-Fong Tsai, Ya-Han Hu, Wei-Chao Lin, Ming-Chang Wang
2017	J	`jnl`	On image search result aggregation. Pattern Anal. Appl. Wei-Chao Lin
2017	J	`jnl`	Soft estimation by hierarchical classification and regression. Neurocomputing Shih-Wen Ke, Wei-Chao Lin, Chih-Fong Tsai, Ya-Han Hu
2017	J	`jnl`	Top 10 data mining techniques in business applications: a brief survey. Kybernetes Wei-Chao Lin, Shih-Wen Ke, Chih-Fong Tsai
2017	J	`jnl`	When Should We Ignore Examples with Missing Values? Int. J. Data Warehous. Min. Wei-Chao Lin, Shih-Wen Ke, Chih-Fong Tsai
2016	J	`jnl`	3D model retrieval by sample based alignment. J. Vis. Commun. Image Represent. Zong-Yao Chen, Wei-Chao Lin, Chih-Fong Tsai, Shih-Wen Ke
2016	J	`jnl`	Big data mining with parallel computing: A comparison of distributed and MapReduce methodologies. J. Syst. Softw. Chih-Fong Tsai, Wei-Chao Lin, Shih-Wen Ke
2016	J	`jnl`	Data preprocessing issues for incomplete medical datasets. Expert Syst. J. Knowl. Eng. Min-Wei Huang, Wei-Chao Lin, Chih-Wen Chen, Shih-Wen Ke, Chih-Fong Tsai, William Eberle
2016	J	`jnl`	Keypoint selection for efficient bag-of-words feature generation and effective image classification. Inf. Sci. Wei-Chao Lin, Chih-Fong Tsai, Zong-Yao Chen, Shih-Wen Ke
2016	J	`jnl`	Research impact of general and funded papers: A citation analysis of two ACM international conference proceeding series. Online Inf. Rev. Cheng-Che Shen, Ya-Han Hu, Wei-Chao Lin, Chih-Fong Tsai, Shih-Wen Ke
2016	J	`jnl`	SAFQuery: a simple and flexible advanced Web search interface. Electron. Libr. Wei-Chao Lin, Shih-Wen Ke, Chih-Fong Tsai
2015	J	`jnl`	CANN: An intrusion detection system based on combining cluster centers and nearest neighbors. Knowl. Based Syst. Wei-Chao Lin, Shih-Wen Ke, Chih-Fong Tsai
2015	J	`jnl`	Correlation analysis for comparison of the citation impact of journals, magazines, and conferences in computer science. Online Inf. Rev. Wei-Chao Lin, Chih-Fong Tsai, Shih-Wen Ke
2015	J	`jnl`	Evolutionary feature and instance selection for traffic sign recognition. Comput. Ind. Zong-Yao Chen, Wei-Chao Lin, Shih-Wen Ke, Chih-Fong Tsai
2015	J	`jnl`	Instance selection by genetic-based biological algorithm. Soft Comput. Zong-Yao Chen, Chih-Fong Tsai, William Eberle, Wei-Chao Lin, Shih-Wen Ke
2015	J	`jnl`	Learning to detect representative data for large scale instance selection. J. Syst. Softw. Wei-Chao Lin, Chih-Fong Tsai, Shih-Wen Ke, Chia-Wen Hung, William Eberle
2015	J	`jnl`	On learning dual classifiers for better data classification. Appl. Soft Comput. Wei-Chao Lin, Chih-Fong Tsai, Shih-Wen Ke, Mon-Loon You
2015	B	`conf`	The Identification of Prolonged Length of Stay for Surgery Patients. SMC Mao-Te Chuang, Ya-Han Hu, Chih-Fong Tsai, Chia-Lun Lo, Wei-Chao Lin
2015	J	`jnl`	The effect of low-level image features on pseudo relevance feedback. Neurocomputing Wei-Chao Lin, Zong-Yao Chen, Shih-Wen Ke, Chih-Fong Tsai, Wei-Yang Lin
2014	J	`jnl`	Citation impact analysis of research papers that appear in oral and poster sessions: A case study of three computer science conferences. Online Inf. Rev. Shih-Wen Ke, Wei-Chao Lin, Chih-Fong Tsai, Ya-Han Hu
2014	J	`jnl`	Dimensionality and data reduction in telecom churn prediction. Kybernetes Wei-Chao Lin, Chih-Fong Tsai, Shih-Wen Ke
2012	—	`conf`	Novel Cloud Service for Improving World Universities Ranking. ITNG Shu-Ming Hsieh, Ssu-An Lo, Chiun-Chieh Hsu, Wei-Chao Lin
2012	J	`jnl`	Scenery Image Retrieval by Meta-Feature Representation. Online Inf. Rev. Chih-Fong Tsai, Wei-Chao Lin
2010	—	`—`	Boosting image annotation. Wei-Chao Lin
2010	J	`jnl`	Improving image annotation via representative feature vector selection. Neurocomputing Wei-Chao Lin, Michael P. Oakes, John Tait
2009	—	`conf`	A Comparative Study of Global and Local Feature Representations in Image Database Categorization. NCM Chih-Fong Tsai, Wei-Chao Lin
2009	J	`jnl`	Improving image annotation via useful representative feature selection. Cogn. Process. Wei-Chao Lin, Michael P. Oakes, John Tait, Chih-Fong Tsai
2008	C	`conf`	Real AdaBoost for large vocabulary image classification. CBMI Wei-Chao Lin, Michael P. Oakes, John Tait