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2020 – today
- 2022
[j20]Tzu-Tsung Wong
:
Linear Approximation of F-Measure for the Performance Evaluation of Classification Algorithms on Imbalanced Data Sets. IEEE Trans. Knowl. Data Eng. 34(2): 753-763 (2022)- 2021
- [j19]Tzu-Tsung Wong, Hsing-Chen Tsai:
Multinomial naïve Bayesian classifier with generalized Dirichlet priors for high-dimensional imbalanced data. Knowl. Based Syst. 228: 107288 (2021) - 2020
- [j18]Tzu-Tsung Wong, Nai-Yu Yang, Guo-Hong Chen:
Hybrid classification algorithms based on instance filtering. Inf. Sci. 520: 445-455 (2020) - [j17]Tzu-Tsung Wong, Po-Yang Yeh:
Reliable Accuracy Estimates from k-Fold Cross Validation. IEEE Trans. Knowl. Data Eng. 32(8): 1586-1594 (2020)
2010 – 2019
- 2017
- [j16]Tzu-Tsung Wong:
Parametric methods for comparing the performance of two classification algorithms evaluated by k-fold cross validation on multiple data sets. Pattern Recognit. 65: 97-107 (2017) - [j15]Tzu-Tsung Wong, Nai-Yu Yang:
Dependency Analysis of Accuracy Estimates in k-Fold Cross Validation. IEEE Trans. Knowl. Data Eng. 29(11): 2417-2427 (2017) - 2016
- [j14]Tzu-Tsung Wong, Chao-Rui Liu:
An efficient parameter estimation method for generalized Dirichlet priors in naïve Bayesian classifiers with multinomial models. Pattern Recognit. 60: 62-71 (2016) - 2015
- [j13]Tzu-Tsung Wong:
Performance evaluation of classification algorithms by k-fold and leave-one-out cross validation. Pattern Recognit. 48(9): 2839-2846 (2015) - 2014
- [j12]Tzu-Tsung Wong:
Generalized Dirichlet priors for Naïve Bayesian classifiers with multinomial models in document classification. Data Min. Knowl. Discov. 28(1): 123-144 (2014) - 2013
- [j11]Kuan-Liang Liu, Tzu-Tsung Wong:
Naïve Bayesian Classifiers with Multinomial Models for rRNA Taxonomic Assignment. IEEE ACM Trans. Comput. Biol. Bioinform. 10(5): 1 (2013) - 2012
- [j10]Tzu-Tsung Wong:
A hybrid discretization method for naïve Bayesian classifiers. Pattern Recognit. 45(6): 2321-2325 (2012) - 2011
- [j9]Tzu-Tsung Wong, Ding-Qun Chen:
A gene selection method for microarray data based on risk genes. Expert Syst. Appl. 38(11): 14065-14071 (2011) - [j8]Tzu-Tsung Wong, Liang-Hao Chang:
Individual attribute prior setting methods for naïve Bayesian classifiers. Pattern Recognit. 44(5): 1041-1047 (2011) - 2010
- [j7]Tzu-Tsung Wong:
Parameter estimation for generalized Dirichlet distributions from the sample estimates of the first and the second moments of random variables. Comput. Stat. Data Anal. 54(7): 1756-1765 (2010) - [j6]Tzu-Tsung Wong, Kuan-Liang Liu:
A Probabilistic mechanism based on clustering analysis and distance measure for subset gene selection. Expert Syst. Appl. 37(3): 2144-2149 (2010)
2000 – 2009
- 2009
- [j5]Tzu-Tsung Wong:
Alternative prior assumptions for improving the performance of naïve Bayesian classifiers. Data Min. Knowl. Discov. 18(2): 183-213 (2009) - [c2]Kuan-Liang Liu, Tzu-Tsung Wong, Gary Xie, Nicolas W. Hengartner:
Improving Naive Bayesian Classifier for Metagenomic Reads Assignment. BIOCOMP 2009: 259-264 - 2008
- [j4]Tzu-Tsung Wong, Ching-Han Hsu:
Two-stage classification methods for microarray data. Expert Syst. Appl. 34(1): 375-383 (2008) - 2005
- [j3]Tzu-Tsung Wong, Kuo-Lung Tseng:
Mining negative contrast sets from data with discrete attributes. Expert Syst. Appl. 29(2): 401-407 (2005) - 2003
- [j2]Chun-Nan Hsu, Hung-Ju Huang, Tzu-Tsung Wong:
Implications of the Dirichlet Assumption for Discretization of Continuous Variables in Naive Bayesian Classifiers. Mach. Learn. 53(3): 235-263 (2003) - 2000
- [c1]Chun-Nan Hsu, Hung-Ju Huang, Tzu-Tsung Wong:
Why Discretization Works for Naive Bayesian Classifiers. ICML 2000: 399-406
1990 – 1999
- 1998
- [j1]Tzu-Tsung Wong:
Generalized Dirichlet distribution in Bayesian analysis. Appl. Math. Comput. 97(2-3): 165-181 (1998)
Coauthor Index
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