Tzu-Tsung Wong

Publication Activity (10 Years)

Years Active: 1998-2022
Publications (10 Years): 8

Top Topics

Classification Algorithm

Cross Validation

Imbalanced Data

Bayesian Classifier

Top Venues

Pattern Recognit.

IEEE Trans. Knowl. Data Eng.

IEEE ACM Trans. Comput. Biol. Bioinform.

Publications

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) (2022)
Tzu-Tsung Wong, Hsing-Chen Tsai
Multinomial naïve Bayesian classifier with generalized Dirichlet priors for high-dimensional imbalanced data. Knowl. Based Syst. 228 (2021)
Tzu-Tsung Wong, Nai-Yu Yang, Guo-Hong Chen
Hybrid classification algorithms based on instance filtering. Inf. Sci. 520 (2020)
Tzu-Tsung Wong, Po-Yang Yeh
Reliable Accuracy Estimates from k-Fold Cross Validation. IEEE Trans. Knowl. Data Eng. 32 (8) (2020)
Tzu-Tsung Wong, Nai-Yu Yang
Dependency Analysis of Accuracy Estimates in k-Fold Cross Validation. IEEE Trans. Knowl. Data Eng. 29 (11) (2017)
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 (2017)
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 (2016)
Tzu-Tsung Wong
Performance evaluation of classification algorithms by k-fold and leave-one-out cross validation. Pattern Recognit. 48 (9) (2015)
Tzu-Tsung Wong
Generalized Dirichlet priors for Naïve Bayesian classifiers with multinomial models in document classification. Data Min. Knowl. Discov. 28 (1) (2014)
Kuan-Liang Liu, Tzu-Tsung Wong
Naïve Bayesian Classifiers with Multinomial Models for rRNA Taxonomic Assignment. IEEE ACM Trans. Comput. Biol. Bioinform. 10 (5) (2013)
Tzu-Tsung Wong
A hybrid discretization method for naïve Bayesian classifiers. Pattern Recognit. 45 (6) (2012)
Tzu-Tsung Wong, Ding-Qun Chen
A gene selection method for microarray data based on risk genes. Expert Syst. Appl. 38 (11) (2011)
Tzu-Tsung Wong, Liang-Hao Chang
Individual attribute prior setting methods for naïve Bayesian classifiers. Pattern Recognit. 44 (5) (2011)
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) (2010)
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) (2010)
Kuan-Liang Liu, Tzu-Tsung Wong, Gary Xie, Nicolas W. Hengartner
Improving Naive Bayesian Classifier for Metagenomic Reads Assignment. BIOCOMP (2009)
Tzu-Tsung Wong
Alternative prior assumptions for improving the performance of naïve Bayesian classifiers. Data Min. Knowl. Discov. 18 (2) (2009)
Tzu-Tsung Wong, Ching-Han Hsu
Two-stage classification methods for microarray data. Expert Syst. Appl. 34 (1) (2008)
Tzu-Tsung Wong, Kuo-Lung Tseng
Mining negative contrast sets from data with discrete attributes. Expert Syst. Appl. 29 (2) (2005)
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) (2003)
Chun-Nan Hsu, Hung-Ju Huang, Tzu-Tsung Wong
Why Discretization Works for Naive Bayesian Classifiers. ICML (2000)
Tzu-Tsung Wong
Generalized Dirichlet distribution in Bayesian analysis. Appl. Math. Comput. 97 (2-3) (1998)