Wei-Chao Lin

Orcid: 0000-0002-5803-513X

According to our database1, Wei-Chao Lin authored at least 46 papers between 2008 and 2024.

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

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Feature selection and its combination with data over-sampling for multi-class imbalanced datasets.
Appl. Soft Comput., 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

A Novel Prediction Approach for Effective Medical Data Mining.
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

Block-based pseudo-relevance feedback for image retrieval.
J. Exp. Theor. Artif. Intell., 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
Ensemble feature selection in medical datasets: Combining filter, wrapper, and embedded feature selection results.
Expert Syst. J. Knowl. Eng., 2020

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

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

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

Aggregation of Multiple Pseudo Relevance Feedbacks for Image Search Re-Ranking.
IEEE Access, 2019

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

2017
On image search result aggregation.
Pattern Anal. Appl., 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

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

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

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

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

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

The Identification of Prolonged Length of Stay for Surgery Patients.
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.
Online Inf. Rev., 2014

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

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

Novel Cloud Service for Improving World Universities Ranking.
Proceedings of the Ninth International Conference on Information Technology: New Generations, 2012

2010
Boosting image annotation.
PhD thesis, 2010

Improving image annotation via representative feature vector selection.
Neurocomputing, 2010

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
Real AdaBoost for large vocabulary image classification.
Proceedings of the International Workshop on Content-Based Multimedia Indexing, 2008


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