Chih-Fong Tsai

Orcid: 0000-0002-5991-2253

According to our database1, Chih-Fong Tsai authored at least 117 papers between 1997 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Managing Emotion In The Workplace: An Empirical Study With Enterprise Instant Messaging.
Appl. Artif. Intell., December, 2024

The effect of review visibility and diagnosticity on review helpfulness - An accessibility-diagnosticity theory perspective.
Decis. Support Syst., March, 2024

Hybrid Technical-Visual Features for Stock Prediction.
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.
Expert Syst. J. Knowl. Eng., July, 2023

Towards hybrid over- and under-sampling combination methods for class imbalanced datasets: an experimental study.
Artif. Intell. Rev., February, 2023

An adaptive growing grid model for a non-stationary environment.
Neurocomputing, 2023

A Novel Prediction Approach for Effective Medical Data Mining.
Proceedings of the 7th International Conference on Medical and Health Informatics, 2023

The Impact of Feature Normalization on Different Feature Types of Medical Datasets.
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.
Knowl. Based Syst., 2022

Empirical comparison of supervised learning techniques for missing value imputation.
Knowl. Inf. Syst., 2022

An investigation of solutions for handling incomplete online review datasets with missing values.
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.
Expert Syst. Appl., 2022

Factors affecting text mining based stock prediction: Text feature representations, machine learning models, and news platforms.
Appl. Soft Comput., 2022

2021
Data cleaning issues in class imbalanced datasets: instance selection and missing values imputation for one-class classifiers.
Data Technol. Appl., 2021

Towards missing electric power data imputation for energy management systems.
Expert Syst. Appl., 2021

Instance selection in medical datasets: A divide-and-conquer framework.
Comput. Electr. Eng., 2021

Feature Selection and Ensemble Learning Techniques in One-Class Classifiers: An Empirical Study of Two-Class Imbalanced Datasets.
IEEE Access, 2021

2020
Two-stage hybrid learning techniques for bankruptcy prediction.
Stat. Anal. Data Min., 2020

Ensemble feature selection in high dimension, low sample size datasets: Parallel and serial combination approaches.
Knowl. Based Syst., 2020

Integrating Feature and Instance Selection Techniques in Opinion Mining.
Int. J. Data Warehous. Min., 2020

Missing value imputation: a review and analysis of the literature (2006-2017).
Artif. Intell. Rev., 2020

2019
Bag-of-Words and Region-Based Feature Representations in Object Categorization: A Comparative Study.
J. Comput., 2019

Under-sampling class imbalanced datasets by combining clustering analysis and instance selection.
Inf. Sci., 2019

The optimal combination of feature selection and data discretization: An empirical study.
Inf. Sci., 2019

Feature selection in single and ensemble learning-based bankruptcy prediction models.
Expert Syst. J. Knowl. Eng., 2019

On Fusing Multiple Instance Selection Results.
Proceedings of the 2019 IEEE International Conference on Industrial Engineering and Engineering Management, 2019

2018
A class center based approach for missing value imputation.
Knowl. Based Syst., 2018

A novel classifier ensemble approach for financial distress prediction.
Knowl. Inf. Syst., 2018

Progressive visual cryptography with friendly and size invariant shares.
Int. Arab J. Inf. Technol., 2018

Two Strategies for Bag-of-Visual Words Feature Extraction.
Proceedings of the 7th International Congress on Advanced Applied Informatics, 2018

2017
Top 10 data mining techniques in business applications: a brief survey.
Kybernetes, 2017

When Should We Ignore Examples with Missing Values?
Int. J. Data Warehous. Min., 2017

Clustering-based undersampling in class-imbalanced data.
Inf. Sci., 2017

Soft estimation by hierarchical classification and regression.
Neurocomputing, 2017

Early versus Late Dimensionality Reduction of Bag-of-Words Feature Representation for Image Classification.
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.
Online Inf. Rev., 2016

3D model retrieval by sample based alignment.
J. Vis. Commun. Image Represent., 2016

Big data mining with parallel computing: A comparison of distributed and MapReduce methodologies.
J. Syst. Softw., 2016

Combining instance selection for better missing value imputation.
J. Syst. Softw., 2016

Keypoint selection for efficient bag-of-words feature generation and effective image classification.
Inf. Sci., 2016

Intangible assets evaluation: The machine learning perspective.
Neurocomputing, 2016

Data preprocessing issues for incomplete medical datasets.
Expert Syst. J. Knowl. Eng., 2016

Financial ratios and corporate governance indicators in bankruptcy prediction: A comprehensive study.
Eur. J. Oper. Res., 2016

SAFQuery: a simple and flexible advanced Web search interface.
Electron. Libr., 2016

2015
Instance selection by genetic-based biological algorithm.
Soft Comput., 2015

Correlation analysis for comparison of the citation impact of journals, magazines, and conferences in computer science.
Online Inf. Rev., 2015

A hybrid indicator for journal ranking: An example from the field of Health Care Sciences and Services.
Online Inf. Rev., 2015

Image retargeting using RGB-D camera.
Multim. Tools Appl., 2015

CANN: An intrusion detection system based on combining cluster centers and nearest neighbors.
Knowl. Based Syst., 2015

The effect of feature selection on financial distress prediction.
Knowl. Based Syst., 2015

A privilege-based visual secret sharing model.
J. Vis. Commun. Image Represent., 2015

Learning to detect representative data for large scale instance selection.
J. Syst. Softw., 2015

Factors affecting rocchio-based pseudorelevance feedback in image retrieval.
J. Assoc. Inf. Sci. Technol., 2015

The effect of low-level image features on pseudo relevance feedback.
Neurocomputing, 2015

Customer segmentation issues and strategies for an automobile dealership with two clustering techniques.
Expert Syst. J. Knowl. Eng., 2015

LocalContent: a personal scientific document retrieval system.
Electron. Libr., 2015

Evolutionary feature and instance selection for traffic sign recognition.
Comput. Ind., 2015

On learning dual classifiers for better data classification.
Appl. Soft Comput., 2015

A novel approach for mining cyclically repeated patterns with multiple minimum supports.
Appl. Soft Comput., 2015

The Identification of Prolonged Length of Stay for Surgery Patients.
Proceedings of the 2015 IEEE International Conference on Systems, 2015

2014
Stock Prediction by Searching for Similarities in Candlestick Charts.
ACM Trans. Manag. Inf. Syst., 2014

A Borda count approach to combine subjective and objective based MIS journal rankings.
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.
Online Inf. Rev., 2014

Modeling credit scoring using neural network ensembles.
Kybernetes, 2014

Dimensionality and data reduction in telecom churn prediction.
Kybernetes, 2014

Evolutionary instance selection for text classification.
J. Syst. Softw., 2014

Citation impact analysis of top ranked computer science journals and their rankings.
J. Informetrics, 2014

Combining cluster analysis with classifier ensembles to predict financial distress.
Inf. Fusion, 2014

Towards high dimensional instance selection: An evolutionary approach.
Decis. Support Syst., 2014

Biological-based genetic algorithms for optimized disaster response resource allocation.
Comput. Ind. Eng., 2014

A comparative study of classifier ensembles for bankruptcy prediction.
Appl. Soft Comput., 2014

2013
Popular research topics in multimedia.
Scientometrics, 2013

A comparative study of hybrid machine learning techniques for customer lifetime value prediction.
Kybernetes, 2013

Genetic algorithms in feature and instance selection.
Knowl. Based Syst., 2013

Crossing the fuzzy front end chasm: Effective product project concept selection using a 2-tuple fuzzy linguistic approach.
J. Intell. Fuzzy Syst., 2013

Block-based progressive visual secret sharing.
Inf. Sci., 2013

SVOIS: Support Vector Oriented Instance Selection for text classification.
Inf. Syst., 2013

2012
Machine Learning in Financial Crisis Prediction: A Survey.
IEEE Trans. Syst. Man Cybern. Part C, 2012

Scenery Image Retrieval by Meta-Feature Representation.
Online Inf. Rev., 2012

OGIR: an ontology-based grid information retrieval framework.
Online Inf. Rev., 2012

Determinants of intangible assets value: The data mining approach.
Knowl. Based Syst., 2012

Simple instance selection for bankruptcy prediction.
Knowl. Based Syst., 2012

Preliminary cost estimates for thin-film transistor liquid-crystal display inspection and repair equipment: A hybrid hierarchical approach.
Comput. Ind. Eng., 2012

Cluster ensembles in collaborative filtering recommendation.
Appl. Soft Comput., 2012

2011
Distance-based features in pattern classification.
EURASIP J. Adv. Signal Process., 2011

Predicting stock returns by classifier ensembles.
Appl. Soft Comput., 2011

Data pre-processing by genetic algorithms for bankruptcy prediction.
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.
Pattern Recognit., 2010

Variable selection by association rules for customer churn prediction of multimedia on demand.
Expert Syst. Appl., 2010

Combining multiple feature selection methods for stock prediction: Union, intersection, and multi-intersection approaches.
Decis. Support Syst., 2010

Credit rating by hybrid machine learning techniques.
Appl. Soft Comput., 2010

2009
Feature selection in bankruptcy prediction.
Knowl. Based Syst., 2009

Component-based software version management based on a Component-Interface Dependency Matrix.
J. Syst. Softw., 2009

Discovering Stock Trading Preferences by Self-Organizing Maps and Decision Trees.
Int. J. Artif. Intell. Tools, 2009

Customer churn prediction by hybrid neural networks.
Expert Syst. Appl., 2009

Intrusion detection by machine learning: A review.
Expert Syst. Appl., 2009

Earnings management prediction: A pilot study of combining neural networks and decision trees.
Expert Syst. Appl., 2009

Improving image annotation via useful representative feature selection.
Cogn. Process., 2009

A Comparative Study of Global and Local Feature Representations in Image Database Categorization.
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.
Online Inf. Rev., 2008

Sensitivity analysis of mapping local image features into conceptual categories.
Libr. Hi Tech, 2008

Using neural network ensembles for bankruptcy prediction and credit scoring.
Expert Syst. Appl., 2008

Market segmentation based on hierarchical self-organizing map for markets of multimedia on demand.
Expert Syst. Appl., 2008

A hybrid financial analysis model for business failure prediction.
Expert Syst. Appl., 2008

The development of audit detection risk assessment system: Using the fuzzy theory and audit risk model.
Expert Syst. Appl., 2008

Financial decision support using neural networks and support vector machines.
Expert Syst. J. Knowl. Eng., 2008

2007
A review of image retrieval methods for digital cultural heritage resources.
Online Inf. Rev., 2007

Image mining by spectral features: A case study of scenery image classification.
Expert Syst. Appl., 2007

The Development of Audit Detection Risk Assessment System: Using the Fuzzy Theory and Audit Risk Model.
Proceedings of the Pacific Asia Conference on Information Systems, 2007

2006
CLAIRE: A modular support vector image indexing and classification system.
ACM Trans. Inf. Syst., 2006

Qualitative evaluation of automatic assignment of keywords to images.
Inf. Process. Manag., 2006

2005
Automatically annotating images with keywords.
PhD thesis, 2005

Training support vector machines based on stacked generalization for image classification.
Neurocomputing, 2005

2003
Stacked generalisation: a novel solution to bridge the semantic gap for content-based image retrieval.
Online Inf. Rev., 2003

Image classification using hybrid neural networks.
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.
Proceedings of the Fifth International Symposium on Multimedia Software Engineering, 2003

1997
A Fuzzy Taguchi Controller to Improve Genetic Algorithm Parameter Selection.
Proceedings of the International Conference on Artificial Neural Nets and Genetic Algorithms, 1997


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