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Wei-Chao Lin
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2020 – today
- 2024
- [j40]Chih-Fong Tsai, Kuan-Chen Chen, Wei-Chao Lin
:
Feature selection and its combination with data over-sampling for multi-class imbalanced datasets. Appl. Soft Comput. 153: 111267 (2024) - [j39]Shih-Wen Ke, Chih-Fong Tsai, Yi-Ying Pan, Wei-Chao Lin:
Majority re-sampling via sub-class clustering for imbalanced datasets. J. Exp. Theor. Artif. Intell. 36(8): 1581-1596 (2024) - 2023
- [j38]Cian Lin, Chih-Fong Tsai, Wei-Chao Lin
Towards hybrid over- and under-sampling combination methods for class imbalanced datasets: an experimental study. Artif. Intell. Rev. 56(2): 845-863 (2023) - [j37]Ching-Lin Fang, Ming-Chang Wang, Chih-Fong Tsai
Instance selection using one-versus-all and one-versus-one decomposition approaches in multiclass classification datasets. Expert Syst. J. Knowl. Eng. 40(6) (2023) - [c6]Chih-Fong Tsai
A Novel Prediction Approach for Effective Medical Data Mining. ICMHI 2023: 81-84 - 2022
- [j36]Wei-Chao Lin, Chih-Fong Tsai, Hsuan Chen:
Factors affecting text mining based stock prediction: Text feature representations, machine learning models, and news platforms. Appl. Soft Comput. 130: 109673 (2022) - [j35]Wei-Chao Lin:
Block-based pseudo-relevance feedback for image retrieval. J. Exp. Theor. Artif. Intell. 34(5): 891-903 (2022) - [j34]Wei-Chao Lin, Chih-Fong Tsai, Jia Rong Zhong:
Deep learning for missing value imputation of continuous data and the effect of data discretization. Knowl. Based Syst. 239: 108079 (2022) - 2021
- [j33]Chih-Fong Tsai
Feature Selection and Ensemble Learning Techniques in One-Class Classifiers: An Empirical Study of Two-Class Imbalanced Datasets. IEEE Access 9: 13717-13726 (2021) - [j32]Min-Wei Huang, Chih-Fong Tsai, Wei-Chao Lin:
Instance selection in medical datasets: A divide-and-conquer framework. Comput. Electr. Eng. 90: 106957 (2021) - [j31]Ming-Chang Wang, Chih-Fong Tsai, Wei-Chao Lin:
Towards missing electric power data imputation for energy management systems. Expert Syst. Appl. 174: 114743 (2021) - [j30]Zhenyuan Wang
Data cleaning issues in class imbalanced datasets: instance selection and missing values imputation for one-class classifiers. Data Technol. Appl. 55(5): 771-787 (2021) - 2020
- [j29]Wei-Chao Lin, Chih-Fong Tsai:
Missing value imputation: a review and analysis of the literature (2006-2017). Artif. Intell. Rev. 53(2): 1487-1509 (2020) - [j28]Chih-Wen Chen, Yi-Hong Tsai
Ensemble feature selection in medical datasets: Combining filter, wrapper, and embedded feature selection results. Expert Syst. J. Knowl. Eng. 37(5) (2020)
2010 – 2019
- 2019
- [j27]Wei-Chao Lin
Aggregation of Multiple Pseudo Relevance Feedbacks for Image Search Re-Ranking. IEEE Access 7: 147553-147559 (2019) - [j26]Wei-Chao Lin, Yu-Hsin Lu, Chih-Fong Tsai
Feature selection in single and ensemble learning-based bankruptcy prediction models. Expert Syst. J. Knowl. Eng. 36(1) (2019) - [j25]Chih-Fong Tsai, Wei-Chao Lin, Ya-Han Hu
Under-sampling class imbalanced datasets by combining clustering analysis and instance selection. Inf. Sci. 477: 47-54 (2019) - 2018
- [j24]Chih-Fong Tsai, Miao-Ling Li, Wei-Chao Lin:
A class center based approach for missing value imputation. Knowl. Based Syst. 151: 124-135 (2018) - 2017
- [j23]Shih-Wen Ke, Wei-Chao Lin, Chih-Fong Tsai, Ya-Han Hu
Soft estimation by hierarchical classification and regression. Neurocomputing 234: 27-37 (2017) - [j22]Wei-Chao Lin, Chih-Fong Tsai, Ya-Han Hu, Jing-Shang Jhang:
Clustering-based undersampling in class-imbalanced data. Inf. Sci. 409: 17-26 (2017) - [j21]Wei-Chao Lin, Shih-Wen Ke, Chih-Fong Tsai:
When Should We Ignore Examples with Missing Values? Int. J. Data Warehous. Min. 13(4): 53-63 (2017) - [j20]Wei-Chao Lin, Shih-Wen Ke, Chih-Fong Tsai:
Top 10 data mining techniques in business applications: a brief survey. Kybernetes 46(7): 1158-1170 (2017) - [j19]Wei-Chao Lin:
On image search result aggregation. Pattern Anal. Appl. 20(3): 865-870 (2017) - [c5]Chih-Fong Tsai, Ya-Han Hu, Wei-Chao Lin, Ming-Chang Wang:
Early versus Late Dimensionality Reduction of Bag-of-Words Feature Representation for Image Classification. ICBRA 2017: 42-45 - 2016
- [j18]Wei-Chao Lin, Shih-Wen Ke, Chih-Fong Tsai:
SAFQuery: a simple and flexible advanced Web search interface. Electron. Libr. 34(1): 155-168 (2016) - [j17]Min-Wei Huang, Wei-Chao Lin, Chih-Wen Chen, Shih-Wen Ke, Chih-Fong Tsai, William Eberle:
Data preprocessing issues for incomplete medical datasets. Expert Syst. J. Knowl. Eng. 33(5): 432-438 (2016) - [j16]Wei-Chao Lin, Chih-Fong Tsai, Zong-Yao Chen, Shih-Wen Ke:
Keypoint selection for efficient bag-of-words feature generation and effective image classification. Inf. Sci. 329: 33-51 (2016) - [j15]Chih-Fong Tsai, Wei-Chao Lin, Shih-Wen Ke:
Big data mining with parallel computing: A comparison of distributed and MapReduce methodologies. J. Syst. Softw. 122: 83-92 (2016) - [j14]Zong-Yao Chen, Wei-Chao Lin, Chih-Fong Tsai, Shih-Wen Ke:
3D model retrieval by sample based alignment. J. Vis. Commun. Image Represent. 40: 721-731 (2016) - [j13]Cheng-Che Shen, Ya-Han Hu
Research impact of general and funded papers: A citation analysis of two ACM international conference proceeding series. Online Inf. Rev. 40(4): 472-480 (2016) - 2015
- [j12]Wei-Chao Lin, Chih-Fong Tsai, Shih-Wen Ke, Mon-Loon You:
On learning dual classifiers for better data classification. Appl. Soft Comput. 37: 296-302 (2015) - [j11]Zong-Yao Chen, Wei-Chao Lin, Shih-Wen Ke, Chih-Fong Tsai:
Evolutionary feature and instance selection for traffic sign recognition. Comput. Ind. 74: 201-211 (2015) - [j10]Wei-Chao Lin, Zong-Yao Chen, Shih-Wen Ke, Chih-Fong Tsai, Wei-Yang Lin:
The effect of low-level image features on pseudo relevance feedback. Neurocomputing 166: 26-37 (2015) - [j9]Wei-Chao Lin, Chih-Fong Tsai, Shih-Wen Ke, Chia-Wen Hung, William Eberle:
Learning to detect representative data for large scale instance selection. J. Syst. Softw. 106: 1-8 (2015) - [j8]Wei-Chao Lin, Shih-Wen Ke, Chih-Fong Tsai:
CANN: An intrusion detection system based on combining cluster centers and nearest neighbors. Knowl. Based Syst. 78: 13-21 (2015) - [j7]Wei-Chao Lin, Chih-Fong Tsai, Shih-Wen Ke:
Correlation analysis for comparison of the citation impact of journals, magazines, and conferences in computer science. Online Inf. Rev. 39(3): 310-325 (2015) - [j6]Zong-Yao Chen, Chih-Fong Tsai, William Eberle, Wei-Chao Lin, Shih-Wen Ke:
Instance selection by genetic-based biological algorithm. Soft Comput. 19(5): 1269-1282 (2015) - [c4]Mao-Te Chuang, Ya-Han Hu
The Identification of Prolonged Length of Stay for Surgery Patients. SMC 2015: 3000-3003 - 2014
- [j5]Wei-Chao Lin, Chih-Fong Tsai, Shih-Wen Ke:
Dimensionality and data reduction in telecom churn prediction. Kybernetes 43(5): 737-749 (2014) - [j4]Shih-Wen Ke, Wei-Chao Lin, Chih-Fong Tsai, Ya-Han Hu
Citation impact analysis of research papers that appear in oral and poster sessions: A case study of three computer science conferences. Online Inf. Rev. 38(6): 738-745 (2014) - 2012
- [j3]Chih-Fong Tsai, Wei-Chao Lin:
Scenery Image Retrieval by Meta-Feature Representation. Online Inf. Rev. 36(4): 517-533 (2012) - [c3]Shu-Ming Hsieh, Ssu-An Lo, Chiun-Chieh Hsu, Wei-Chao Lin:
Novel Cloud Service for Improving World Universities Ranking. ITNG 2012: 127-131 - 2010
- [b1]Wei-Chao Lin:
Boosting image annotation. University of Sunderland, Tyne and Wear, UK, 2010 - [j2]Wei-Chao Lin, Michael P. Oakes
Improving image annotation via representative feature vector selection. Neurocomputing 73(10-12): 1774-1782 (2010)
2000 – 2009
- 2009
- [j1]Wei-Chao Lin, Michael P. Oakes
Improving image annotation via useful representative feature selection. Cogn. Process. 10(3): 233-242 (2009) - [c2]Chih-Fong Tsai, Wei-Chao Lin:
A Comparative Study of Global and Local Feature Representations in Image Database Categorization. NCM 2009: 1563-1566 - 2008
- [c1]Wei-Chao Lin, Michael P. Oakes
Real AdaBoost for large vocabulary image classification. CBMI 2008: 192-199
Coauthor Index
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last updated on 2024-11-25 22:48 CET by the dblp team
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