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2020 – today
- 2024
- [j105]Shih-Wen Ke, Chih-Fong Tsai, Yi-Jun Chen:
Managing Emotion In The Workplace: An Empirical Study With Enterprise Instant Messaging. Appl. Artif. Intell. 38(1) (2024) - [j104]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) - [j103]Kuanchin Chen, Chih-Fong Tsai, Ya-Han Hu, Chen-Wei Hu:
The effect of review visibility and diagnosticity on review helpfulness - An accessibility-diagnosticity theory perspective. Decis. Support Syst. 178: 114145 (2024) - [j102]Kuen-Liang Sue, Chih-Fong Tsai, Tzu-Ming Yan:
On Combining Instance Selection and Discretisation: A Comparative Study of Two Combination Orders. J. Inf. Knowl. Manag. 23(5): 2450081:1-2450081:16 (2024) - [c13]Chih-Fong Tsai, Ya-Han Hu, Ming-Chang Wang, Kang Ernest Liu:
Hybrid Technical-Visual Features for Stock Prediction. AINA (3) 2024: 280-289 - 2023
- [j101]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) - [j100]Ching-Lin Fang, Ming-Chang Wang, Chih-Fong Tsai, Wei-Chao Lin, Pei-Qi Liao:
Instance selection using one-versus-all and one-versus-one decomposition approaches in multiclass classification datasets. Expert Syst. J. Knowl. Eng. 40(6) (2023) - [j99]Chihli Hung, Stefan Wermter, Yu-Liang Chi, Chih-Fong Tsai:
An adaptive growing grid model for a non-stationary environment. Neurocomputing 550: 126405 (2023) - [c12]Ya-Han Hu, Kang Ernest Liu, Chih-Fong Tsai:
The Impact of Feature Normalization on Different Feature Types of Medical Datasets. ICMHI 2023: 29-33 - [c11]Chih-Fong Tsai, Ming-Chang Wang, Wei-Chao Lin:
A Novel Prediction Approach for Effective Medical Data Mining. ICMHI 2023: 81-84 - 2022
- [j98]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) - [j97]Ling-Chien Hung, Ya-Han Hu, Chih-Fong Tsai, Min-Wei Huang:
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. 192: 116437 (2022) - [j96]Ya-Han Hu, Chih-Fong Tsai:
An investigation of solutions for handling incomplete online review datasets with missing values. J. Exp. Theor. Artif. Intell. 34(6): 971-987 (2022) - [j95]Chih-Fong Tsai, Ya-Han Hu:
Empirical comparison of supervised learning techniques for missing value imputation. Knowl. Inf. Syst. 64(4): 1047-1075 (2022) - [j94]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
- [j93]Chih-Fong Tsai, Wei-Chao Lin:
Feature Selection and Ensemble Learning Techniques in One-Class Classifiers: An Empirical Study of Two-Class Imbalanced Datasets. IEEE Access 9: 13717-13726 (2021) - [j92]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) - [j91]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) - [j90]Zhenyuan Wang, Chih-Fong Tsai, Wei-Chao Lin:
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
- [j89]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) - [j88]Zi-Hung You, Ya-Han Hu, Chih-Fong Tsai, Yen-Ming Kuo:
Integrating Feature and Instance Selection Techniques in Opinion Mining. Int. J. Data Warehous. Min. 16(3): 168-182 (2020) - [j87]Chih-Fong Tsai, Ya-Ting Sung:
Ensemble feature selection in high dimension, low sample size datasets: Parallel and serial combination approaches. Knowl. Based Syst. 203: 106097 (2020) - [j86]Chih-Fong Tsai:
Two-stage hybrid learning techniques for bankruptcy prediction. Stat. Anal. Data Min. 13(6): 565-572 (2020)
2010 – 2019
- 2019
- [j85]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) - [j84]Chih-Fong Tsai, Wei-Chao Lin, Ya-Han Hu, Guan-Ting Yao:
Under-sampling class imbalanced datasets by combining clustering analysis and instance selection. Inf. Sci. 477: 47-54 (2019) - [j83]Chih-Fong Tsai, Yu-Chi Chen:
The optimal combination of feature selection and data discretization: An empirical study. Inf. Sci. 505: 282-293 (2019) - [j82]Chih-Fong Tsai, Ya-Han Hu, Ming-Chang Wang, Kang Ernest Liu:
Bag-of-Words and Region-Based Feature Representations in Object Categorization: A Comparative Study. J. Comput. 14(2): 93-100 (2019) - [c10]Chih-Fong Tsai, Ya-Han Hu, Ming-Chang Wang, Kang Liu:
On Fusing Multiple Instance Selection Results. IEEM 2019: 1546-1549 - 2018
- [j81]Young-Chang Hou, Zen-Yu Quan, Chih-Fong Tsai:
Progressive visual cryptography with friendly and size invariant shares. Int. Arab J. Inf. Technol. 15(2): 321-330 (2018) - [j80]Deron Liang, Chih-Fong Tsai, An-Jie Dai, William Eberle:
A novel classifier ensemble approach for financial distress prediction. Knowl. Inf. Syst. 54(2): 437-462 (2018) - [j79]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) - [c9]Chih-Fong Tsai:
Two Strategies for Bag-of-Visual Words Feature Extraction. IIAI-AAI 2018: 970-971 - 2017
- [j78]Shih-Wen Ke, Wei-Chao Lin, Chih-Fong Tsai, Ya-Han Hu:
Soft estimation by hierarchical classification and regression. Neurocomputing 234: 27-37 (2017) - [j77]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) - [j76]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) - [j75]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) - [c8]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
- [j74]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) - [j73]Deron Liang, Chia-Chi Lu, Chih-Fong Tsai, Guan-An Shih:
Financial ratios and corporate governance indicators in bankruptcy prediction: A comprehensive study. Eur. J. Oper. Res. 252(2): 561-572 (2016) - [j72]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) - [j71]Chih-Fong Tsai, Yu-Hsin Lu, Yu-Chung Hung, David C. Yen:
Intangible assets evaluation: The machine learning perspective. Neurocomputing 175: 110-120 (2016) - [j70]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) - [j69]Chih-Fong Tsai, Fu-Yu Chang:
Combining instance selection for better missing value imputation. J. Syst. Softw. 122: 63-71 (2016) - [j68]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) - [j67]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) - [j66]Cheng-Che Shen, Ya-Han Hu, Wei-Chao Lin, Chih-Fong Tsai, Shih-Wen Ke:
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
- [j65]Ya-Han Hu, Chih-Fong Tsai, Chun-Tien Tai, In-Chi Chiang:
A novel approach for mining cyclically repeated patterns with multiple minimum supports. Appl. Soft Comput. 28: 90-99 (2015) - [j64]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) - [j63]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) - [j62]Chih-Fong Tsai, Shih-Wen Ke, Kenneth McGarry, Ming-Yi Lin:
LocalContent: a personal scientific document retrieval system. Electron. Libr. 33(3): 373-385 (2015) - [j61]Chih-Fong Tsai, Ya-Han Hu, Yu-Hsin Lu:
Customer segmentation issues and strategies for an automobile dealership with two clustering techniques. Expert Syst. J. Knowl. Eng. 32(1): 65-76 (2015) - [j60]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) - [j59]Chih-Fong Tsai, Ya-Han Hu, Zong-Yao Chen:
Factors affecting rocchio-based pseudorelevance feedback in image retrieval. J. Assoc. Inf. Sci. Technol. 66(1): 40-57 (2015) - [j58]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) - [j57]Young-Chang Hou, Zen-Yu Quan, Chih-Fong Tsai:
A privilege-based visual secret sharing model. J. Vis. Commun. Image Represent. 33: 358-367 (2015) - [j56]Deron Liang, Chih-Fong Tsai, Hsin-Ting Wu:
The effect of feature selection on financial distress prediction. Knowl. Based Syst. 73: 289-297 (2015) - [j55]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) - [j54]Wei-Yang Lin, Chih-Fong Tsai, Pei-Chen Wu, Bo-Rong Chen:
Image retargeting using RGB-D camera. Multim. Tools Appl. 74(9): 3155-3170 (2015) - [j53]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) - [j52]Wen-Chin Hsu, Chih-Fong Tsai, Jia-Huan Li:
A hybrid indicator for journal ranking: An example from the field of Health Care Sciences and Services. Online Inf. Rev. 39(7): 858-869 (2015) - [j51]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) - [c7]Mao-Te Chuang, Ya-Han Hu, Chih-Fong Tsai, Chia-Lun Lo, Wei-Chao Lin:
The Identification of Prolonged Length of Stay for Surgery Patients. SMC 2015: 3000-3003 - 2014
- [j50]Chih-Fong Tsai, Yu-Feng Hsu, David C. Yen:
A comparative study of classifier ensembles for bankruptcy prediction. Appl. Soft Comput. 24: 977-984 (2014) - [j49]Jui-Sheng Chou, Chih-Fong Tsai, Zong-Yao Chen, Ming-Hui Sun:
Biological-based genetic algorithms for optimized disaster response resource allocation. Comput. Ind. Eng. 74: 52-67 (2014) - [j48]Chih-Fong Tsai, Zong-Yao Chen:
Towards high dimensional instance selection: An evolutionary approach. Decis. Support Syst. 61: 79-92 (2014) - [j47]Chih-Fong Tsai:
Combining cluster analysis with classifier ensembles to predict financial distress. Inf. Fusion 16: 46-58 (2014) - [j46]Chih-Fong Tsai:
Citation impact analysis of top ranked computer science journals and their rankings. J. Informetrics 8(2): 318-328 (2014) - [j45]Chih-Fong Tsai, Zong-Yao Chen, Shih-Wen Ke:
Evolutionary instance selection for text classification. J. Syst. Softw. 90: 104-113 (2014) - [j44]Wei-Chao Lin, Chih-Fong Tsai, Shih-Wen Ke:
Dimensionality and data reduction in telecom churn prediction. Kybernetes 43(5): 737-749 (2014) - [j43]Chih-Fong Tsai, Chihli Hung:
Modeling credit scoring using neural network ensembles. Kybernetes 43(7): 1114-1123 (2014) - [j42]Chih-Fong Tsai, Ya-Han Hu, George Shih-Wen Ke:
A Borda count approach to combine subjective and objective based MIS journal rankings. Online Inf. Rev. 38(4): 469-483 (2014) - [j41]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) - [j40]Chih-Fong Tsai, Zen-Yu Quan:
Stock Prediction by Searching for Similarities in Candlestick Charts. ACM Trans. Manag. Inf. Syst. 5(2): 9:1-9:21 (2014) - 2013
- [j39]Chih-Fong Tsai, Che-Wei Chang:
SVOIS: Support Vector Oriented Instance Selection for text classification. Inf. Syst. 38(8): 1070-1083 (2013) - [j38]Young-Chang Hou, Zen-Yu Quan, Chih-Fong Tsai, A.-Yu Tseng:
Block-based progressive visual secret sharing. Inf. Sci. 233: 290-304 (2013) - [j37]Chih-Fong Tsai, Zong-Yao Chen:
Crossing the fuzzy front end chasm: Effective product project concept selection using a 2-tuple fuzzy linguistic approach. J. Intell. Fuzzy Syst. 25(3): 755-770 (2013) - [j36]Chih-Fong Tsai, William Eberle, Chi-Yuan Chu:
Genetic algorithms in feature and instance selection. Knowl. Based Syst. 39: 240-247 (2013) - [j35]Chih-Fong Tsai, Ya-Han Hu, Chia-Sheng Hung, Yu-Feng Hsu:
A comparative study of hybrid machine learning techniques for customer lifetime value prediction. Kybernetes 42(3): 357-370 (2013) - [j34]Chih-Fong Tsai, Chihli Hung:
Popular research topics in multimedia. Scientometrics 95(1): 465-479 (2013) - 2012
- [j33]Chih-Fong Tsai, Chihli Hung:
Cluster ensembles in collaborative filtering recommendation. Appl. Soft Comput. 12(4): 1417-1425 (2012) - [j32]Jui-Sheng Chou, Chih-Fong Tsai:
Preliminary cost estimates for thin-film transistor liquid-crystal display inspection and repair equipment: A hybrid hierarchical approach. Comput. Ind. Eng. 62(2): 661-669 (2012) - [j31]Chih-Fong Tsai, Kai-Chun Cheng:
Simple instance selection for bankruptcy prediction. Knowl. Based Syst. 27: 333-342 (2012) - [j30]Chih-Fong Tsai, Yu-Hsin Lu, David C. Yen:
Determinants of intangible assets value: The data mining approach. Knowl. Based Syst. 31: 67-77 (2012) - [j29]Chih-Fong Tsai, Wei-Chao Lin:
Scenery Image Retrieval by Meta-Feature Representation. Online Inf. Rev. 36(4): 517-533 (2012) - [j28]Chihli Hung, Chih-Fong Tsai, Shin-Yuan Hung, Chang-Jiang Ku:
OGIR: an ontology-based grid information retrieval framework. Online Inf. Rev. 36(6): 807-827 (2012) - [j27]Wei-Yang Lin, Ya-Han Hu, Chih-Fong Tsai:
Machine Learning in Financial Crisis Prediction: A Survey. IEEE Trans. Syst. Man Cybern. Part C 42(4): 421-436 (2012) - 2011
- [j26]Chih-Fong Tsai, Yuah-Chiao Lin, David C. Yen, Yan-Min Chen:
Predicting stock returns by classifier ensembles. Appl. Soft Comput. 11(2): 2452-2459 (2011) - [j25]Chih-Fong Tsai, Wei-Yang Lin, Zhen-Fu Hong, Chung-Yang Hsieh:
Distance-based features in pattern classification. EURASIP J. Adv. Signal Process. 2011: 62 (2011) - [c6]Chih-Fong Tsai, Jui-Sheng Chou:
Data pre-processing by genetic algorithms for bankruptcy prediction. IEEM 2011: 1780-1783 - 2010
- [j24]Chih-Fong Tsai, Ming-Lun Chen:
Credit rating by hybrid machine learning techniques. Appl. Soft Comput. 10(2): 374-380 (2010) - [j23]Chih-Fong Tsai, Yu-Chieh Hsiao:
Combining multiple feature selection methods for stock prediction: Union, intersection, and multi-intersection approaches. Decis. Support Syst. 50(1): 258-269 (2010) - [j22]Chih-Fong Tsai, Mao-Yuan Chen:
Variable selection by association rules for customer churn prediction of multimedia on demand. Expert Syst. Appl. 37(3): 2006-2015 (2010) - [j21]Chih-Fong Tsai, Chia-Ying Lin:
A triangle area based nearest neighbors approach to intrusion detection. Pattern Recognit. 43(1): 222-229 (2010)
2000 – 2009
- 2009
- [j20]Wei-Chao Lin, Michael P. Oakes, John Tait, Chih-Fong Tsai:
Improving image annotation via useful representative feature selection. Cogn. Process. 10(3): 233-242 (2009) - [j19]Chih-Fong Tsai, Yen-Jiun Chiou:
Earnings management prediction: A pilot study of combining neural networks and decision trees. Expert Syst. Appl. 36(3): 7183-7191 (2009) - [j18]Chih-Fong Tsai, Yu-Feng Hsu, Chia-Ying Lin, Wei-Yang Lin:
Intrusion detection by machine learning: A review. Expert Syst. Appl. 36(10): 11994-12000 (2009) - [j17]Chih-Fong Tsai, Yu-Hsin Lu:
Customer churn prediction by hybrid neural networks. Expert Syst. Appl. 36(10): 12547-12553 (2009) - [j16]Chih-Fong Tsai, Yuah-Chiao Lin, Yi-Ting Wang:
Discovering Stock Trading Preferences by Self-Organizing Maps and Decision Trees. Int. J. Artif. Intell. Tools 18(4): 603-611 (2009) - [j15]Shi-Ming Huang, Chih-Fong Tsai, Po-Chun Huang:
Component-based software version management based on a Component-Interface Dependency Matrix. J. Syst. Softw. 82(3): 382-399 (2009) - [j14]Chih-Fong Tsai:
Feature selection in bankruptcy prediction. Knowl. Based Syst. 22(2): 120-127 (2009) - [c5]Chih-Fong Tsai, Wei-Chao Lin:
A Comparative Study of Global and Local Feature Representations in Image Database Categorization. NCM 2009: 1563-1566 - 2008
- [j13]Chih-Fong Tsai:
Financial decision support using neural networks and support vector machines. Expert Syst. J. Knowl. Eng. 25(4): 380-393 (2008) - [j12]Chihli Hung, Chih-Fong Tsai:
Market segmentation based on hierarchical self-organizing map for markets of multimedia on demand. Expert Syst. Appl. 34(1): 780-787 (2008) - [j11]Chih-Fong Tsai, Jhen-Wei Wu:
Using neural network ensembles for bankruptcy prediction and credit scoring. Expert Syst. Appl. 34(4): 2639-2649 (2008) - [j10]Shi-Ming Huang, Chih-Fong Tsai, David C. Yen, Yin-Lin Cheng:
A hybrid financial analysis model for business failure prediction. Expert Syst. Appl. 35(3): 1034-1040 (2008) - [j9]She-I Chang, Chih-Fong Tsai, Dong-Her Shih, Chia-Ling Hwang:
The development of audit detection risk assessment system: Using the fuzzy theory and audit risk model. Expert Syst. Appl. 35(3): 1053-1067 (2008) - [j8]Chih-Fong Tsai, David C. Yen:
Sensitivity analysis of mapping local image features into conceptual categories. Libr. Hi Tech 26(2): 255-273 (2008) - [j7]Chun-Nan Lin, Chih-Fong Tsai, Jinsheng Roan:
Personal photo browsing and retrieval by clustering techniques: Effectiveness and efficiency evaluation. Online Inf. Rev. 32(6): 759-772 (2008) - 2007
- [j6]Chih-Fong Tsai:
Image mining by spectral features: A case study of scenery image classification. Expert Syst. Appl. 32(1): 135-142 (2007) - [j5]Chih-Fong Tsai:
A review of image retrieval methods for digital cultural heritage resources. Online Inf. Rev. 31(2): 185-198 (2007) - [c4]She-I Chang, Chih-Fong Tsai, Chia-Ling Hwang:
The Development of Audit Detection Risk Assessment System: Using the Fuzzy Theory and Audit Risk Model. PACIS 2007: 78 - 2006
- [j4]Chih-Fong Tsai, Kenneth McGarry, John Tait:
Qualitative evaluation of automatic assignment of keywords to images. Inf. Process. Manag. 42(1): 136-154 (2006) - [j3]Chih-Fong Tsai, Kenneth McGarry, John Tait:
CLAIRE: A modular support vector image indexing and classification system. ACM Trans. Inf. Syst. 24(3): 353-379 (2006) - 2005
- [b1]Chih-Fong Tsai:
Automatically annotating images with keywords. University of Sunderland, Tyne and Wear, UK, 2005 - [j2]Chih-Fong Tsai:
Training support vector machines based on stacked generalization for image classification. Neurocomputing 64: 497-503 (2005) - 2003
- [j1]Chih-Fong Tsai:
Stacked generalisation: a novel solution to bridge the semantic gap for content-based image retrieval. Online Inf. Rev. 27(6): 442-445 (2003) - [c3]Chih-Fong Tsai, Kenneth McGarry, John Tait:
Using neuro-fuzzy techniques based on a two-stage mapping model for concept-based image database indexing. ISMSE 2003: 6-12 - [c2]Chih-Fong Tsai, Kenneth McGarry, John Tait:
Image classification using hybrid neural networks. SIGIR 2003: 431-432
1990 – 1999
- 1997
- [c1]Chih-Fong Tsai, C. G. D. Bowerman, John I. Tait, C. Bradford:
A Fuzzy Taguchi Controller to Improve Genetic Algorithm Parameter Selection. ICANNGA 1997: 175-178
Coauthor Index
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