Wei-Chao Lin

According to our database, Wei-Chao Lin authored at least 47 papers between 2008 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

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., November, 2024

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

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., July, 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., February, 2023

A Novel Prediction Approach for Effective Medical Data Mining.

Chih-Fong Tsai, Ming-Chang Wang, Wei-Chao Lin

Proceedings of the 7th International Conference on Medical and Health Informatics, 2023

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

Block-based pseudo-relevance feedback for image retrieval.

Wei-Chao Lin

J. Exp. Theor. Artif. Intell., 2022

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

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

Towards missing electric power data imputation for energy management systems.

Ming-Chang Wang, Chih-Fong Tsai, Wei-Chao Lin

Expert Syst. Appl., 2021

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

Min-Wei Huang, Chih-Fong Tsai, Wei-Chao Lin

Comput. Electr. Eng., 2021

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

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

Missing value imputation: a review and analysis of the literature (2006-2017).

Wei-Chao Lin, Chih-Fong Tsai

Artif. Intell. Rev., 2020

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

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

Aggregation of Multiple Pseudo Relevance Feedbacks for Image Search Re-Ranking.

Wei-Chao Lin

IEEE Access, 2019

2018

A class center based approach for missing value imputation.

Chih-Fong Tsai, Miao-Ling Li, Wei-Chao Lin

Knowl. Based Syst., 2018

2017

On image search result aggregation.

Wei-Chao Lin

Pattern Anal. Appl., 2017

Top 10 data mining techniques in business applications: a brief survey.

Wei-Chao Lin, Shih-Wen Ke, Chih-Fong Tsai

Kybernetes, 2017

When Should We Ignore Examples with Missing Values?

Wei-Chao Lin, Shih-Wen Ke, Chih-Fong Tsai

Int. J. Data Warehous. Min., 2017

Clustering-based undersampling in class-imbalanced data.

Wei-Chao Lin, Chih-Fong Tsai, Ya-Han Hu, Jing-Shang Jhang

Inf. Sci., 2017

Soft estimation by hierarchical classification and regression.

Shih-Wen Ke, Wei-Chao Lin, Chih-Fong Tsai, Ya-Han Hu

Neurocomputing, 2017

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

Proceedings of the International Conference on Bioinformatics Research and Applications 2017, 2017

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

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

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

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

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

SAFQuery: a simple and flexible advanced Web search interface.

Wei-Chao Lin, Shih-Wen Ke, Chih-Fong Tsai

Electron. Libr., 2016

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

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

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

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

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

Evolutionary feature and instance selection for traffic sign recognition.

Zong-Yao Chen, Wei-Chao Lin, Shih-Wen Ke, Chih-Fong Tsai

Comput. Ind., 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

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

Proceedings of the 2015 IEEE International Conference on Systems, 2015

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

Dimensionality and data reduction in telecom churn prediction.

Wei-Chao Lin, Chih-Fong Tsai, Shih-Wen Ke

Kybernetes, 2014

2012

Scenery Image Retrieval by Meta-Feature Representation.

Chih-Fong Tsai, Wei-Chao Lin

Online Inf. Rev., 2012

Novel Cloud Service for Improving World Universities Ranking.

Shu-Ming Hsieh, Ssu-An Lo, Chiun-Chieh Hsu, Wei-Chao Lin

Proceedings of the Ninth International Conference on Information Technology: New Generations, 2012

2010

Boosting image annotation.

Wei-Chao Lin

PhD thesis, 2010

Improving image annotation via representative feature vector selection.

Wei-Chao Lin, Michael P. Oakes, John Tait

Neurocomputing, 2010

2009

Improving image annotation via useful representative feature selection.

Wei-Chao Lin, Michael P. Oakes, John Tait, Chih-Fong Tsai

Cogn. Process., 2009

A Comparative Study of Global and Local Feature Representations in Image Database Categorization.

Chih-Fong Tsai, Wei-Chao Lin

Proceedings of the International Conference on Networked Computing and Advanced Information Management, 2009

2008

Real AdaBoost for large vocabulary image classification.

Wei-Chao Lin, Michael P. Oakes, John Tait

Proceedings of the International Workshop on Content-Based Multimedia Indexing, 2008