Chih-Fong Tsai

According to our database, Chih-Fong Tsai authored at least 121 papers between 1997 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

Managing Emotion In The Workplace: An Empirical Study With Enterprise Instant Messaging.

Shih-Wen Ke, Chih-Fong Tsai, Yi-Jun Chen

Appl. Artif. Intell., December, 2024

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

Kuen-Liang Sue, Chih-Fong Tsai, Hau-Min Tsau

J. Exp. Theor. Artif. Intell., November, 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

On Combining Instance Selection and Discretisation: A Comparative Study of Two Combination Orders.

Kuen-Liang Sue, Chih-Fong Tsai, Tzu-Ming Yan

J. Inf. Knowl. Manag., October, 2024

The effect of review visibility and diagnosticity on review helpfulness - An accessibility-diagnosticity theory perspective.

Kuanchin Chen, Chih-Fong Tsai, Ya-Han Hu, Chen-Wei Hu

Decis. Support Syst., March, 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

Hybrid Technical-Visual Features for Stock Prediction.

Chih-Fong Tsai, Ya-Han Hu, Ming-Chang Wang, Kang Ernest Liu

Proceedings of the Advanced Information Networking and Applications, 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

An adaptive growing grid model for a non-stationary environment.

Chihli Hung, Stefan Wermter, Yu-Liang Chi, Chih-Fong Tsai

Neurocomputing, 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

The Impact of Feature Normalization on Different Feature Types of Medical Datasets.

Ya-Han Hu, Kang Ernest Liu, Chih-Fong Tsai

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

Empirical comparison of supervised learning techniques for missing value imputation.

Chih-Fong Tsai, Ya-Han Hu

Knowl. Inf. Syst., 2022

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

Ya-Han Hu, Chih-Fong Tsai

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

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

Ling-Chien Hung, Ya-Han Hu, Chih-Fong Tsai, Min-Wei Huang

Expert Syst. Appl., 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

Two-stage hybrid learning techniques for bankruptcy prediction.

Chih-Fong Tsai

Stat. Anal. Data Min., 2020

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

Chih-Fong Tsai, Ya-Ting Sung

Knowl. Based Syst., 2020

Integrating Feature and Instance Selection Techniques in Opinion Mining.

Zi-Hung You, Ya-Han Hu, Chih-Fong Tsai, Yen-Ming Kuo

Int. J. Data Warehous. Min., 2020

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

Wei-Chao Lin, Chih-Fong Tsai

Artif. Intell. Rev., 2020

2019

Bag-of-Words and Region-Based Feature Representations in Object Categorization: A Comparative Study.

Chih-Fong Tsai, Ya-Han Hu, Ming-Chang Wang, Kang Ernest Liu

J. Comput., 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

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

Chih-Fong Tsai, Yu-Chi Chen

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

On Fusing Multiple Instance Selection Results.

Chih-Fong Tsai, Ya-Han Hu, Ming-Chang Wang, Kang Liu

Proceedings of the 2019 IEEE International Conference on Industrial Engineering and Engineering Management, 2019

2018

A class center based approach for missing value imputation.

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

Knowl. Based Syst., 2018

A novel classifier ensemble approach for financial distress prediction.

Deron Liang, Chih-Fong Tsai, An-Jie Dai, William Eberle

Knowl. Inf. Syst., 2018

Progressive visual cryptography with friendly and size invariant shares.

Young-Chang Hou, Zen-Yu Quan, Chih-Fong Tsai

Int. Arab J. Inf. Technol., 2018

Two Strategies for Bag-of-Visual Words Feature Extraction.

Chih-Fong Tsai

Proceedings of the 7th International Congress on Advanced Applied Informatics, 2018

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

Combining instance selection for better missing value imputation.

Chih-Fong Tsai, Fu-Yu Chang

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

Intangible assets evaluation: The machine learning perspective.

Chih-Fong Tsai, Yu-Hsin Lu, Yu-Chung Hung, David C. Yen

Neurocomputing, 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

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

Deron Liang, Chia-Chi Lu, Chih-Fong Tsai, Guan-An Shih

Eur. J. Oper. Res., 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

A hybrid indicator for journal ranking: An example from the field of Health Care Sciences and Services.

Wen-Chin Hsu, Chih-Fong Tsai, Jia-Huan Li

Online Inf. Rev., 2015

Image retargeting using RGB-D camera.

Wei-Yang Lin, Chih-Fong Tsai, Pei-Chen Wu, Bo-Rong Chen

Multim. Tools Appl., 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

The effect of feature selection on financial distress prediction.

Deron Liang, Chih-Fong Tsai, Hsin-Ting Wu

Knowl. Based Syst., 2015

A privilege-based visual secret sharing model.

Young-Chang Hou, Zen-Yu Quan, Chih-Fong Tsai

J. Vis. Commun. Image Represent., 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

Factors affecting rocchio-based pseudorelevance feedback in image retrieval.

Chih-Fong Tsai, Ya-Han Hu, Zong-Yao Chen

J. Assoc. Inf. Sci. Technol., 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

Customer segmentation issues and strategies for an automobile dealership with two clustering techniques.

Chih-Fong Tsai, Ya-Han Hu, Yu-Hsin Lu

Expert Syst. J. Knowl. Eng., 2015

LocalContent: a personal scientific document retrieval system.

Chih-Fong Tsai, Shih-Wen Ke, Kenneth McGarry, Ming-Yi Lin

Electron. Libr., 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

A novel approach for mining cyclically repeated patterns with multiple minimum supports.

Ya-Han Hu, Chih-Fong Tsai, Chun-Tien Tai, In-Chi Chiang

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

Stock Prediction by Searching for Similarities in Candlestick Charts.

Chih-Fong Tsai, Zen-Yu Quan

ACM Trans. Manag. Inf. Syst., 2014

A Borda count approach to combine subjective and objective based MIS journal rankings.

Chih-Fong Tsai, Ya-Han Hu, George Shih-Wen Ke

Online Inf. Rev., 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

Modeling credit scoring using neural network ensembles.

Chih-Fong Tsai, Chihli Hung

Kybernetes, 2014

Dimensionality and data reduction in telecom churn prediction.

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

Kybernetes, 2014

Evolutionary instance selection for text classification.

Chih-Fong Tsai, Zong-Yao Chen, Shih-Wen Ke

J. Syst. Softw., 2014

Citation impact analysis of top ranked computer science journals and their rankings.

Chih-Fong Tsai

J. Informetrics, 2014

Combining cluster analysis with classifier ensembles to predict financial distress.

Chih-Fong Tsai

Inf. Fusion, 2014

Towards high dimensional instance selection: An evolutionary approach.

Chih-Fong Tsai, Zong-Yao Chen

Decis. Support Syst., 2014

Biological-based genetic algorithms for optimized disaster response resource allocation.

Jui-Sheng Chou, Chih-Fong Tsai, Zong-Yao Chen, Ming-Hui Sun

Comput. Ind. Eng., 2014

A comparative study of classifier ensembles for bankruptcy prediction.

Chih-Fong Tsai, Yu-Feng Hsu, David C. Yen

Appl. Soft Comput., 2014

2013

Popular research topics in multimedia.

Chih-Fong Tsai, Chihli Hung

Scientometrics, 2013

A comparative study of hybrid machine learning techniques for customer lifetime value prediction.

Chih-Fong Tsai, Ya-Han Hu, Chia-Sheng Hung, Yu-Feng Hsu

Kybernetes, 2013

Genetic algorithms in feature and instance selection.

Chih-Fong Tsai, William Eberle, Chi-Yuan Chu

Knowl. Based Syst., 2013

Crossing the fuzzy front end chasm: Effective product project concept selection using a 2-tuple fuzzy linguistic approach.

Chih-Fong Tsai, Zong-Yao Chen

J. Intell. Fuzzy Syst., 2013

Block-based progressive visual secret sharing.

Young-Chang Hou, Zen-Yu Quan, Chih-Fong Tsai, A.-Yu Tseng

Inf. Sci., 2013

SVOIS: Support Vector Oriented Instance Selection for text classification.

Chih-Fong Tsai, Che-Wei Chang

Inf. Syst., 2013

2012

Machine Learning in Financial Crisis Prediction: A Survey.

Wei-Yang Lin, Ya-Han Hu, Chih-Fong Tsai

IEEE Trans. Syst. Man Cybern. Part C, 2012

Scenery Image Retrieval by Meta-Feature Representation.

Chih-Fong Tsai, Wei-Chao Lin

Online Inf. Rev., 2012

OGIR: an ontology-based grid information retrieval framework.

Chihli Hung, Chih-Fong Tsai, Shin-Yuan Hung, Chang-Jiang Ku

Online Inf. Rev., 2012

Determinants of intangible assets value: The data mining approach.

Chih-Fong Tsai, Yu-Hsin Lu, David C. Yen

Knowl. Based Syst., 2012

Simple instance selection for bankruptcy prediction.

Chih-Fong Tsai, Kai-Chun Cheng

Knowl. Based Syst., 2012

Preliminary cost estimates for thin-film transistor liquid-crystal display inspection and repair equipment: A hybrid hierarchical approach.

Jui-Sheng Chou, Chih-Fong Tsai

Comput. Ind. Eng., 2012

Cluster ensembles in collaborative filtering recommendation.

Chih-Fong Tsai, Chihli Hung

Appl. Soft Comput., 2012

2011

Distance-based features in pattern classification.

Chih-Fong Tsai, Wei-Yang Lin, Zhen-Fu Hong, Chung-Yang Hsieh

EURASIP J. Adv. Signal Process., 2011

Predicting stock returns by classifier ensembles.

Chih-Fong Tsai, Yuah-Chiao Lin, David C. Yen, Yan-Min Chen

Appl. Soft Comput., 2011

Data pre-processing by genetic algorithms for bankruptcy prediction.

Chih-Fong Tsai, Jui-Sheng Chou

Proceedings of the 2011 IEEE International Conference on Industrial Engineering and Engineering Management (IEEM), 2011

2010

A triangle area based nearest neighbors approach to intrusion detection.

Chih-Fong Tsai, Chia-Ying Lin

Pattern Recognit., 2010

Variable selection by association rules for customer churn prediction of multimedia on demand.

Chih-Fong Tsai, Mao-Yuan Chen

Expert Syst. Appl., 2010

Combining multiple feature selection methods for stock prediction: Union, intersection, and multi-intersection approaches.

Chih-Fong Tsai, Yu-Chieh Hsiao

Decis. Support Syst., 2010

Credit rating by hybrid machine learning techniques.

Chih-Fong Tsai, Ming-Lun Chen

Appl. Soft Comput., 2010

2009

Feature selection in bankruptcy prediction.

Chih-Fong Tsai

Knowl. Based Syst., 2009

Component-based software version management based on a Component-Interface Dependency Matrix.

Shi-Ming Huang, Chih-Fong Tsai, Po-Chun Huang

J. Syst. Softw., 2009

Discovering Stock Trading Preferences by Self-Organizing Maps and Decision Trees.

Chih-Fong Tsai, Yuah-Chiao Lin, Yi-Ting Wang

Int. J. Artif. Intell. Tools, 2009

Customer churn prediction by hybrid neural networks.

Chih-Fong Tsai, Yu-Hsin Lu

Expert Syst. Appl., 2009

Intrusion detection by machine learning: A review.

Chih-Fong Tsai, Yu-Feng Hsu, Chia-Ying Lin, Wei-Yang Lin

Expert Syst. Appl., 2009

Earnings management prediction: A pilot study of combining neural networks and decision trees.

Chih-Fong Tsai, Yen-Jiun Chiou

Expert Syst. Appl., 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

Personal photo browsing and retrieval by clustering techniques: Effectiveness and efficiency evaluation.

Chun-Nan Lin, Chih-Fong Tsai, Jinsheng Roan

Online Inf. Rev., 2008

Sensitivity analysis of mapping local image features into conceptual categories.

Chih-Fong Tsai, David C. Yen

Libr. Hi Tech, 2008

Using neural network ensembles for bankruptcy prediction and credit scoring.

Chih-Fong Tsai, Jhen-Wei Wu

Expert Syst. Appl., 2008

Market segmentation based on hierarchical self-organizing map for markets of multimedia on demand.

Chihli Hung, Chih-Fong Tsai

Expert Syst. Appl., 2008

A hybrid financial analysis model for business failure prediction.

Shi-Ming Huang, Chih-Fong Tsai, David C. Yen, Yin-Lin Cheng

Expert Syst. Appl., 2008

The development of audit detection risk assessment system: Using the fuzzy theory and audit risk model.

She-I Chang, Chih-Fong Tsai, Dong-Her Shih, Chia-Ling Hwang

Expert Syst. Appl., 2008

Financial decision support using neural networks and support vector machines.

Chih-Fong Tsai

Expert Syst. J. Knowl. Eng., 2008

2007

A review of image retrieval methods for digital cultural heritage resources.

Chih-Fong Tsai

Online Inf. Rev., 2007

Image mining by spectral features: A case study of scenery image classification.

Chih-Fong Tsai

Expert Syst. Appl., 2007

The Development of Audit Detection Risk Assessment System: Using the Fuzzy Theory and Audit Risk Model.

She-I Chang, Chih-Fong Tsai, Chia-Ling Hwang

Proceedings of the Pacific Asia Conference on Information Systems, 2007

2006

CLAIRE: A modular support vector image indexing and classification system.

Chih-Fong Tsai, Kenneth McGarry, John Tait

ACM Trans. Inf. Syst., 2006

Qualitative evaluation of automatic assignment of keywords to images.

Chih-Fong Tsai, Kenneth McGarry, John Tait

Inf. Process. Manag., 2006

2005

Automatically annotating images with keywords.

Chih-Fong Tsai

PhD thesis, 2005

Training support vector machines based on stacked generalization for image classification.

Chih-Fong Tsai

Neurocomputing, 2005

2003

Stacked generalisation: a novel solution to bridge the semantic gap for content-based image retrieval.

Chih-Fong Tsai

Online Inf. Rev., 2003

Image classification using hybrid neural networks.

Chih-Fong Tsai, Kenneth McGarry, John Tait

Proceedings of the SIGIR 2003: Proceedings of the 26th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, July 28, 2003

Using neuro-fuzzy techniques based on a two-stage mapping model for concept-based image database indexing.

Chih-Fong Tsai, Kenneth McGarry, John Tait

Proceedings of the Fifth International Symposium on Multimedia Software Engineering, 2003

1997

A Fuzzy Taguchi Controller to Improve Genetic Algorithm Parameter Selection.

Chih-Fong Tsai, C. G. D. Bowerman, John I. Tait, C. Bradford

Proceedings of the International Conference on Artificial Neural Nets and Genetic Algorithms, 1997