Tzu-Tsung Wong

Orcid: 0000-0001-8132-0214

According to our database1, Tzu-Tsung Wong authored at least 22 papers between 1998 and 2022.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

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

2021
Multinomial naïve Bayesian classifier with generalized Dirichlet priors for high-dimensional imbalanced data.
Knowl. Based Syst., 2021

2020
Reliable Accuracy Estimates from k-Fold Cross Validation.
IEEE Trans. Knowl. Data Eng., 2020

Hybrid classification algorithms based on instance filtering.
Inf. Sci., 2020

2017
Dependency Analysis of Accuracy Estimates in k-Fold Cross Validation.
IEEE Trans. Knowl. Data Eng., 2017

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

2016
An efficient parameter estimation method for generalized Dirichlet priors in naïve Bayesian classifiers with multinomial models.
Pattern Recognit., 2016

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

2014
Generalized Dirichlet priors for Naïve Bayesian classifiers with multinomial models in document classification.
Data Min. Knowl. Discov., 2014

2013
Naïve Bayesian Classifiers with Multinomial Models for rRNA Taxonomic Assignment.
IEEE ACM Trans. Comput. Biol. Bioinform., 2013

2012
A hybrid discretization method for naïve Bayesian classifiers.
Pattern Recognit., 2012

2011
Individual attribute prior setting methods for naïve Bayesian classifiers.
Pattern Recognit., 2011

A gene selection method for microarray data based on risk genes.
Expert Syst. Appl., 2011

2010
A Probabilistic mechanism based on clustering analysis and distance measure for subset gene selection.
Expert Syst. Appl., 2010

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

2009
Alternative prior assumptions for improving the performance of naïve Bayesian classifiers.
Data Min. Knowl. Discov., 2009

Improving Naive Bayesian Classifier for Metagenomic Reads Assignment.
Proceedings of the International Conference on Bioinformatics & Computational Biology, 2009

2008
Two-stage classification methods for microarray data.
Expert Syst. Appl., 2008

2005
Mining negative contrast sets from data with discrete attributes.
Expert Syst. Appl., 2005

2003
Implications of the Dirichlet Assumption for Discretization of Continuous Variables in Naive Bayesian Classifiers.
Mach. Learn., 2003

2000
Why Discretization Works for Naive Bayesian Classifiers.
Proceedings of the Seventeenth International Conference on Machine Learning (ICML 2000), Stanford University, Stanford, CA, USA, June 29, 2000

1998
Generalized Dirichlet distribution in Bayesian analysis.
Appl. Math. Comput., 1998


  Loading...