Generalized Dirichlet distribution in Bayesian analysis. - Tzu-Tsung Wong (Appl. Math. Comput., 1998)

Why Discretization Works for Naive Bayesian Classifiers. - Chun-Nan Hsu; Hung-Ju Huang; Tzu-Tsung Wong (ICML, 2000)

Implications of the Dirichlet Assumption for Discretization of Continuous Variables in Naive Bayesian Classifiers. - Chun-Nan Hsu; Hung-Ju Huang; Tzu-Tsung Wong (Mach. Learn., 2003)

Mining negative contrast sets from data with discrete attributes. - Tzu-Tsung Wong; Kuo-Lung Tseng (Expert Syst. Appl., 2005)

Two-stage classification methods for microarray data. - Tzu-Tsung Wong; Ching-Han Hsu (Expert Syst. Appl., 2008)

Improving Naive Bayesian Classifier for Metagenomic Reads Assignment. - Kuan-Liang Liu; Tzu-Tsung Wong; Gary Xie; Nicolas W. Hengartner (BIOCOMP, 2009)

Alternative prior assumptions for improving the performance of naïve Bayesian classifiers. - Tzu-Tsung Wong (Data Min. Knowl. Discov., 2009)

Parameter estimation for generalized Dirichlet distributions from the sample estimates of the first and the second moments of random variables. - Tzu-Tsung Wong (Comput. Stat. Data Anal., 2010)

A Probabilistic mechanism based on clustering analysis and distance measure for subset gene selection. - Tzu-Tsung Wong; Kuan-Liang Liu (Expert Syst. Appl., 2010)

A gene selection method for microarray data based on risk genes. - Tzu-Tsung Wong; Ding-Qun Chen (Expert Syst. Appl., 2011)

Individual attribute prior setting methods for naïve Bayesian classifiers. - Tzu-Tsung Wong; Liang-Hao Chang (Pattern Recognit., 2011)

A hybrid discretization method for naïve Bayesian classifiers. - Tzu-Tsung Wong (Pattern Recognit., 2012)

Naïve Bayesian Classifiers with Multinomial Models for rRNA Taxonomic Assignment. - Kuan-Liang Liu; Tzu-Tsung Wong (IEEE ACM Trans. Comput. Biol. Bioinform., 2013)

Generalized Dirichlet priors for Naïve Bayesian classifiers with multinomial models in document classification. - Tzu-Tsung Wong (Data Min. Knowl. Discov., 2014)

Performance evaluation of classification algorithms by k-fold and leave-one-out cross validation. - Tzu-Tsung Wong (Pattern Recognit., 2015)

An efficient parameter estimation method for generalized Dirichlet priors in naïve Bayesian classifiers with multinomial models. - Tzu-Tsung Wong; Chao-Rui Liu (Pattern Recognit., 2016)

Parametric methods for comparing the performance of two classification algorithms evaluated by k-fold cross validation on multiple data sets. - Tzu-Tsung Wong (Pattern Recognit., 2017)

Dependency Analysis of Accuracy Estimates in k-Fold Cross Validation. - Tzu-Tsung Wong; Nai-Yu Yang (IEEE Trans. Knowl. Data Eng., 2017)

Hybrid classification algorithms based on instance filtering. - Tzu-Tsung Wong; Nai-Yu Yang; Guo-Hong Chen (Inf. Sci., 2020)

Reliable Accuracy Estimates from k-Fold Cross Validation. - Tzu-Tsung Wong; Po-Yang Yeh (IEEE Trans. Knowl. Data Eng., 2020)

Multinomial naïve Bayesian classifier with generalized Dirichlet priors for high-dimensional imbalanced data. - Tzu-Tsung Wong; Hsing-Chen Tsai (Knowl. Based Syst., 2021)

Linear Approximation of F-Measure for the Performance Evaluation of Classification Algorithms on Imbalanced Data Sets. - Tzu-Tsung Wong (IEEE Trans. Knowl. Data Eng., 2022)