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h-index
2032
引文
13
h-指數
按照存儲在普爾(Pure)的出版物數量及斯高帕斯(Scopus)引文計算。
2000
2022
每年研究成果
概覽
指紋
網路
專案
(15)
研究成果
(24)
類似的個人檔案
(6)
監製作品
(42)
研究成果
每年研究成果
2003
2005
2010
2011
2017
2020
2021
2022
24
Article
每年研究成果
每年研究成果
24結果
出版年份,標題
(降序)
出版年份,標題
(升序)
標題
類型
篩選
Article
搜尋結果
2022
Linear Approximation of F-Measure for the Performance Evaluation of Classification Algorithms on Imbalanced Data Sets
Wong, T. T.
,
2022 2月 1
,
於:
IEEE Transactions on Knowledge and Data Engineering.
34
,
2
,
p. 753-763
11 p.
研究成果
:
Article
›
同行評審
Classification Algorithm
100%
Linear Approximation
77%
Set theory
44%
Sampling Distribution
31%
Sampling
24%
10
引文 斯高帕斯(Scopus)
2021
Multinomial naïve Bayesian classifier with generalized Dirichlet priors for high-dimensional imbalanced data
Wong, T. T.
&
Tsai, H. C.
,
2021 9月 27
,
於:
Knowledge-Based Systems.
228
, 107288.
研究成果
:
Article
›
同行評審
Dirichlet
100%
Classifiers
52%
Random forests
13%
Computational efficiency
11%
Performance
9%
9
引文 斯高帕斯(Scopus)
The Impact of Coating Ingredients on the Aging Resistance of Topcoat Paints by Model Trees
Wong, T. T.
&
Hung, S. H.
,
2021 1月
,
於:
Advances in Technology Innovation.
6
,
1
,
p. 39-46
8 p.
研究成果
:
Article
›
同行評審
Resin
100%
Paint
95%
Pigments
88%
coating
72%
Aging of materials
69%
2020
Hybrid classification algorithms based on instance filtering
Wong, T. T.
,
Yang, N. Y.
&
Chen, G. H.
,
2020 5月
,
於:
Information sciences.
520
,
p. 445-455
11 p.
研究成果
:
Article
›
同行評審
Classification Algorithm
100%
Hybrid Algorithm
89%
Filtering
69%
High Accuracy
23%
Proof by induction
23%
8
引文 斯高帕斯(Scopus)
Reliable Accuracy Estimates from k-Fold Cross Validation
Wong, T. T.
&
Yeh, P. Y.
,
2020 8月 1
,
於:
IEEE Transactions on Knowledge and Data Engineering.
32
,
8
,
p. 1586-1594
9 p.
, 8698831.
研究成果
:
Article
›
同行評審
Cross-validation
100%
Replication
49%
Estimate
40%
Statistical methods
37%
Classification Algorithm
25%
535
引文 斯高帕斯(Scopus)
2019
Weighted Random Forests for Evaluating Financial Credit Risk
Wong, T. T.
&
Yeh, S. J.
,
2019
,
於:
Proceedings of Engineering and Technology Innovation.
13
,
p. 1-9
9 p.
研究成果
:
Article
›
同行評審
Random forests
100%
Risk analysis
51%
Decision trees
45%
Set theory
30%
3
引文 斯高帕斯(Scopus)
2017
Dependency Analysis of Accuracy Estimates in k-Fold Cross Validation
Wong, T. T.
&
Yang, N. Y.
,
2017 11月 1
,
於:
IEEE Transactions on Knowledge and Data Engineering.
29
,
11
,
p. 2417-2427
11 p.
, 8012491.
研究成果
:
Article
›
同行評審
Cross-validation
100%
Statistical methods
74%
Estimate
40%
Overlapping
23%
Dependent
22%
120
引文 斯高帕斯(Scopus)
Parametric methods for comparing the performance of two classification algorithms evaluated by k-fold cross validation on multiple data sets
Wong, T. T.
,
2017 5月 1
,
於:
Pattern Recognition.
65
,
p. 97-107
11 p.
研究成果
:
Article
›
同行評審
Sampling
100%
Set theory
91%
Statistics
53%
57
引文 斯高帕斯(Scopus)
2016
An efficient parameter estimation method for generalized Dirichlet priors in naïve Bayesian classifiers with multinomial models
Wong, T. T.
&
Liu, C. R.
,
2016 12月 1
,
於:
Pattern Recognition.
60
,
p. 62-71
10 p.
研究成果
:
Article
›
同行評審
Parameter estimation
100%
Classifiers
76%
Covariance matrix
27%
Computational efficiency
26%
Statistics
20%
7
引文 斯高帕斯(Scopus)
2015
Performance evaluation of classification algorithms by k-fold and leave-one-out cross validation
Wong, T. T.
,
2015 9月 1
,
於:
Pattern Recognition.
48
,
9
,
p. 2839-2846
8 p.
研究成果
:
Article
›
同行評審
Sampling
100%
Statistical methods
60%
Data mining
59%
999
引文 斯高帕斯(Scopus)
2014
Generalized Dirichlet priors for Naïve Bayesian classifiers with multinomial models in document classification
Wong, T. T.
,
2014 1月
,
於:
Data Mining and Knowledge Discovery.
28
,
1
,
p. 123-144
22 p.
研究成果
:
Article
›
同行評審
Classifiers
100%
Random variables
72%
Computational efficiency
68%
9
引文 斯高帕斯(Scopus)
2013
Naïve Bayesian classifiers with multinomial models for rRNA taxonomic assignment.
Liu, K. L.
&
Wong, T. T.
,
2013 1月 1
,
於:
IEEE/ACM transactions on computational biology and bioinformatics / IEEE, ACM.
10
,
5
,
p. 1334-1339
6 p.
研究成果
:
Article
›
同行評審
Bayesian Classifier
100%
Biota
96%
28S Ribosomal RNA
95%
Multinomial Model
84%
Ecology
74%
14
引文 斯高帕斯(Scopus)
2012
A hybrid discretization method for naïve Bayesian classifiers
Wong, T. T.
,
2012 6月
,
於:
Pattern Recognition.
45
,
6
,
p. 2321-2325
5 p.
研究成果
:
Article
›
同行評審
Classifiers
100%
38
引文 斯高帕斯(Scopus)
2011
A gene selection method for microarray data based on risk genes
Wong, T. T.
&
Chen, D. Q.
,
2011 10月
,
於:
Expert Systems With Applications.
38
,
11
,
p. 14065-14071
7 p.
研究成果
:
Article
›
同行評審
Microarrays
100%
Genes
83%
Set theory
5%
8
引文 斯高帕斯(Scopus)
Individual attribute prior setting methods for nave Bayesian classifiers
Wong, T. T.
&
Chang, L. H.
,
2011 5月
,
於:
Pattern Recognition.
44
,
5
,
p. 1041-1047
7 p.
研究成果
:
Article
›
同行評審
Feature extraction
100%
Classifiers
91%
14
引文 斯高帕斯(Scopus)
2010
A Probabilistic mechanism based on clustering analysis and distance measure for subset gene selection
Wong, T. T.
&
Liu, K. L.
,
2010 3月 15
,
於:
Expert Systems With Applications.
37
,
3
,
p. 2144-2149
6 p.
研究成果
:
Article
›
同行評審
Genes
100%
Microarrays
34%
Computational complexity
24%
13
引文 斯高帕斯(Scopus)
Parameter estimation for generalized Dirichlet distributions from the sample estimates of the first and the second moments of random variables
Wong, T. T.
,
2010 7月 1
,
於:
Computational Statistics and Data Analysis.
54
,
7
,
p. 1756-1765
10 p.
研究成果
:
Article
›
同行評審
Random variables
77%
Covariance matrix
76%
Parameter estimation
69%
Parameter Estimation
67%
Random variable
53%
22
引文 斯高帕斯(Scopus)
2009
Alternative prior assumptions for improving the performance of naïve Bayesian classifiers
Wong, T. T.
,
2009 4月
,
於:
Data Mining and Knowledge Discovery.
18
,
2
,
p. 183-213
31 p.
研究成果
:
Article
›
同行評審
Classifiers
100%
34
引文 斯高帕斯(Scopus)
2008
Two-stage classification methods for microarray data
Wong, T. T.
&
Hsu, C. H.
,
2008 1月
,
於:
Expert Systems With Applications.
34
,
1
,
p. 375-383
9 p.
研究成果
:
Article
›
同行評審
Microarrays
100%
Genes
62%
Gene expression
12%
39
引文 斯高帕斯(Scopus)
2007
Perfect aggregation of Bayesian analysis on compositional data
Wong, T. T.
,
2007 4月
,
於:
Statistical Papers.
48
,
2
,
p. 265-282
18 p.
研究成果
:
Article
›
同行評審
Bayesian Analysis
100%
Compositional Data
92%
Sufficient Statistics
62%
Aggregate Data
50%
Dirichlet
29%
10
引文 斯高帕斯(Scopus)
2005
A bayesian approach employing generalized dirichlet priors in predicting microchip yields
Wong, T. T.
,
2005
,
於:
Journal of the Chinese Institute of Industrial Engineers.
22
,
3
,
p. 210-217
8 p.
研究成果
:
Article
›
同行評審
Sorting
100%
Microelectronics
54%
6
引文 斯高帕斯(Scopus)
Key factors for small and medium enterprises in Taiwan to successfully implement information systems
Wong, T. T.
&
Lu, Y. T.
,
2005
,
於:
International Journal of Management and Enterprise Development.
2
,
1
,
p. 106-121
16 p.
研究成果
:
Article
›
同行評審
Small and Medium-sized Enterprises (SMEs)
100%
Taiwan
49%
Information Systems
45%
Computer Technology
28%
Factors
22%
35
引文 斯高帕斯(Scopus)
Mining negative contrast sets from data with discrete attributes
Wong, T. T.
&
Tseng, K. L.
,
2005 8月
,
於:
Expert Systems With Applications.
29
,
2
,
p. 401-407
7 p.
研究成果
:
Article
›
同行評審
Insurance
100%
Decision making
30%
Set theory
27%
16
引文 斯高帕斯(Scopus)
2003
Implications of the Dirichlet Assumption for Discretization of Continuous Variables in Naive Bayesian Classifiers
Hsu, C. N.
,
Huang, H. J.
&
Wong, T. T.
,
2003 12月
,
於:
Machine Learning.
53
,
3
,
p. 235-263
29 p.
研究成果
:
Article
›
同行評審
開啟存取
Bins
100%
Classifiers
96%
Agglomeration
78%
Normal distribution
50%
Parameter estimation
42%
32
引文 斯高帕斯(Scopus)