Wei-Chao Lin

49 papers B 1C 1Journal 42Unranked 4
YearRankTypeTitle / 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