Tzu-Tsung Wong - researchr alias

researchr

You are not signed in
Sign in
Sign up

Viewing Publication 1 - 22 from 22

2022

Linear Approximation of F-Measure for the Performance Evaluation of Classification Algorithms on Imbalanced Data SetsTzu-Tsung Wong. tkde, 34(2):753-763, 2022. [doi]

2021

Multinomial naïve Bayesian classifier with generalized Dirichlet priors for high-dimensional imbalanced dataTzu-Tsung Wong, Hsing-Chen Tsai. kbs, 228:107288, 2021. [doi]

2020

Hybrid classification algorithms based on instance filteringTzu-Tsung Wong, Nai-Yu Yang, Guo-Hong Chen. isci, 520:445-455, 2020. [doi]

Reliable Accuracy Estimates from k-Fold Cross ValidationTzu-Tsung Wong, Po-Yang Yeh. tkde, 32(8):1586-1594, 2020. [doi]

2017

Parametric methods for comparing the performance of two classification algorithms evaluated by k-fold cross validation on multiple data setsTzu-Tsung Wong. PR, 65:97-107, 2017. [doi]

Dependency Analysis of Accuracy Estimates in k-Fold Cross ValidationTzu-Tsung Wong, Nai-Yu Yang. tkde, 29(11):2417-2427, 2017. [doi]

2016

An efficient parameter estimation method for generalized Dirichlet priors in naïve Bayesian classifiers with multinomial modelsTzu-Tsung Wong, Chao-Rui Liu. PR, 60:62-71, 2016. [doi]

2015

Performance evaluation of classification algorithms by k-fold and leave-one-out cross validationTzu-Tsung Wong. PR, 48(9):2839-2846, 2015. [doi]

2014

Generalized Dirichlet priors for Naïve Bayesian classifiers with multinomial models in document classificationTzu-Tsung Wong. datamine, 28(1):123-144, 2014. [doi]

2013

Naïve Bayesian Classifiers with Multinomial Models for rRNA Taxonomic AssignmentKuan-Liang Liu, Tzu-Tsung Wong. tcbb, 10(5):1, 2013. [doi]

2012

A hybrid discretization method for naïve Bayesian classifiersTzu-Tsung Wong. PR, 45(6):2321-2325, 2012. [doi]

2011

A gene selection method for microarray data based on risk genesTzu-Tsung Wong, Ding-Qun Chen. eswa, 38(11):14065-14071, 2011. [doi]

Individual attribute prior setting methods for naïve Bayesian classifiersTzu-Tsung Wong, Liang-Hao Chang. PR, 44(5):1041-1047, 2011. [doi]

2010

Parameter estimation for generalized Dirichlet distributions from the sample estimates of the first and the second moments of random variablesTzu-Tsung Wong. csda, 54(7):1756-1765, 2010. [doi]

A Probabilistic mechanism based on clustering analysis and distance measure for subset gene selectionTzu-Tsung Wong, Kuan-Liang Liu. eswa, 37(3):2144-2149, 2010. [doi]

2009

Improving Naive Bayesian Classifier for Metagenomic Reads AssignmentKuan-Liang Liu, Tzu-Tsung Wong, Gary Xie, Nicolas W. Hengartner. biocomp 2009: 259-264

Alternative prior assumptions for improving the performance of naïve Bayesian classifiersTzu-Tsung Wong. datamine, 18(2):183-213, 2009. [doi]

2008

Two-stage classification methods for microarray dataTzu-Tsung Wong, Ching-Han Hsu. eswa, 34(1):375-383, 2008. [doi]

2005

Mining negative contrast sets from data with discrete attributesTzu-Tsung Wong, Kuo-Lung Tseng. eswa, 29(2):401-407, 2005. [doi]

2003

Implications of the Dirichlet Assumption for Discretization of Continuous Variables in Naive Bayesian ClassifiersChun-Nan Hsu, Hung-Ju Huang, Tzu-Tsung Wong. ml, 53(3):235-263, 2003. [doi]

2000

Why Discretization Works for Naive Bayesian ClassifiersChun-Nan Hsu, Hung-Ju Huang, Tzu-Tsung Wong. icml 2000: 399-406

1998

Generalized Dirichlet distribution in Bayesian analysisTzu-Tsung Wong. amc, 97(2-3):165-181, 1998. [doi]

Sign in or sign up to see more results.

runs on WebDSL