Tzu-Tsung Wong

24 papers A* 1Journal 22Unranked 1
YearRankTypeTitle / Venue / Authors
2026 J jnl
Multi-interval monotonic data transformation for privacy-preserving data mining in rule-based classification.
Knowl. Inf. Syst.
Tzu-Tsung Wong, Jialin Su
2025 J jnl
A consistency analysis on four evaluation metrics for classifying imbalanced data.
Knowl. Inf. Syst.
Tzu-Tsung Wong, Pei-Chen Chung
2022 J jnl
Linear Approximation of F-Measure for the Performance Evaluation of Classification Algorithms on Imbalanced Data Sets.
IEEE Trans. Knowl. Data Eng.
Tzu-Tsung Wong
2021 J jnl
Multinomial naïve Bayesian classifier with generalized Dirichlet priors for high-dimensional imbalanced data.
Knowl. Based Syst.
Tzu-Tsung Wong, Hsing-Chen Tsai
2020 J jnl
Hybrid classification algorithms based on instance filtering.
Inf. Sci.
Tzu-Tsung Wong, Nai-Yu Yang, Guo-Hong Chen
2020 J jnl
Reliable Accuracy Estimates from k-Fold Cross Validation.
IEEE Trans. Knowl. Data Eng.
Tzu-Tsung Wong, Po-Yang Yeh
2017 J jnl
Dependency Analysis of Accuracy Estimates in k-Fold Cross Validation.
IEEE Trans. Knowl. Data Eng.
Tzu-Tsung Wong, Nai-Yu Yang
2017 J jnl
Parametric methods for comparing the performance of two classification algorithms evaluated by k-fold cross validation on multiple data sets.
Pattern Recognit.
Tzu-Tsung Wong
2016 J jnl
An efficient parameter estimation method for generalized Dirichlet priors in naïve Bayesian classifiers with multinomial models.
Pattern Recognit.
Tzu-Tsung Wong, Chao-Rui Liu
2015 J jnl
Performance evaluation of classification algorithms by k-fold and leave-one-out cross validation.
Pattern Recognit.
Tzu-Tsung Wong
2014 J jnl
Generalized Dirichlet priors for Naïve Bayesian classifiers with multinomial models in document classification.
Data Min. Knowl. Discov.
Tzu-Tsung Wong
2013 J jnl
Naïve Bayesian Classifiers with Multinomial Models for rRNA Taxonomic Assignment.
IEEE ACM Trans. Comput. Biol. Bioinform.
Kuan-Liang Liu, Tzu-Tsung Wong
2012 J jnl
A hybrid discretization method for naïve Bayesian classifiers.
Pattern Recognit.
Tzu-Tsung Wong
2011 J jnl
A gene selection method for microarray data based on risk genes.
Expert Syst. Appl.
Tzu-Tsung Wong, Ding-Qun Chen
2011 J jnl
Individual attribute prior setting methods for naïve Bayesian classifiers.
Pattern Recognit.
Tzu-Tsung Wong, Liang-Hao Chang
2010 J jnl
A Probabilistic mechanism based on clustering analysis and distance measure for subset gene selection.
Expert Syst. Appl.
Tzu-Tsung Wong, Kuan-Liang Liu
2010 J jnl
Parameter estimation for generalized Dirichlet distributions from the sample estimates of the first and the second moments of random variables.
Comput. Stat. Data Anal.
Tzu-Tsung Wong
2009 J jnl
Alternative prior assumptions for improving the performance of naïve Bayesian classifiers.
Data Min. Knowl. Discov.
Tzu-Tsung Wong
2009 — conf
Improving Naive Bayesian Classifier for Metagenomic Reads Assignment.
BIOCOMP
Kuan-Liang Liu, Tzu-Tsung Wong, Gary Xie, Nicolas W. Hengartner
2008 J jnl
Two-stage classification methods for microarray data.
Expert Syst. Appl.
Tzu-Tsung Wong, Ching-Han Hsu
2005 J jnl
Mining negative contrast sets from data with discrete attributes.
Expert Syst. Appl.
Tzu-Tsung Wong, Kuo-Lung Tseng
2003 J jnl
Implications of the Dirichlet Assumption for Discretization of Continuous Variables in Naive Bayesian Classifiers.
Mach. Learn.
Chun-Nan Hsu, Hung-Ju Huang, Tzu-Tsung Wong
2000 A* conf
Why Discretization Works for Naive Bayesian Classifiers.
ICML
Chun-Nan Hsu, Hung-Ju Huang, Tzu-Tsung Wong
1998 J jnl
Generalized Dirichlet distribution in Bayesian analysis.
Appl. Math. Comput.
Tzu-Tsung Wong