Journal of Zhejiang University

Deep search:Searching for "Feature selection" in 'KEYWORD' Got 13 items.

index	Title
1	Feature selection based on mutual information and redundancy-synergy coefficient Author(s):YANG Sheng, GU Jun Clicked:6270 Download:2910 Cited:4 <Full Text> Journal of Zhejiang University Science 2004 Vol.5 No.11 P.1382-1391 DOI:10.1631/jzus.2004.1382
2	Feature selection for face recognition: a memetic algorithmic approach Author(s):Dinesh KUMAR, Shakti KUMAR, C. S. ... Clicked:5672 Download:3570 Cited:6 <Full Text> Journal of Zhejiang University Science A 2009 Vol.10 No.8 P.1140-1152 DOI:10.1631/jzus.A0820460
3	A data-mining approach to biomarker identification from protein profiles using discrete stationary wavelet ... Author(s):Hussain MONTAZERY-KORDY, Mohammad ... Clicked:6056 Download:3111 Cited:5 <Full Text> Journal of Zhejiang University Science B 2008 Vol.9 No.11 P.863-870 DOI:10.1631/jzus.B0820163
4	A fast automatic recognition and location algorithm for fetal genital organs in ultrasound images Author(s):Sheng TANG, Si-ping CHEN Clicked:5879 Download:3139 Cited:0 <Full Text> Journal of Zhejiang University Science B 2009 Vol.10 No.9 P.648-658 DOI:10.1631/jzus.B0930162
5	Battle damage assessment based on an improved Kullback-Leibler divergence sparse autoencoder Author(s):Zong-feng Qi, Qiao-qiao Liu, Jun W... Clicked:4804 Download:1787 Cited:0 <Full Text> <PPT> 1381 Frontiers of Information Technology & Electronic Engineering 2017 Vol.18 No.12 P.1991-2000 DOI:10.1631/FITEE.1601395
6	A new feature selection method for handling redundant information in text classification Author(s):You-wei Wang, Li-zhou Feng Clicked:5161 Download:2163 Cited:0 <Full Text> <PPT> 1324 Frontiers of Information Technology & Electronic Engineering 2018 Vol.19 No.2 P.221-234 DOI:10.1631/FITEE.1601761
7	A feature selection approach based on a similarity measure for software defect prediction Author(s):Qiao Yu, Shu-juan Jiang, Rong-cun ... Clicked:5847 Download:2462 Cited:0 <Full Text> <PPT> 1336 Frontiers of Information Technology & Electronic Engineering 2017 Vol.18 No.11 P.1744-1753 DOI:10.1631/FITEE.1601322
8	An effective fault prediction model developed using an extreme learning machine with various kernel methods Author(s):Lov Kumar, Anand Tirkey, Santanu-K... Clicked:5154 Download:2410 Cited:0 <Full Text> <PPT> 1187 Frontiers of Information Technology & Electronic Engineering 2018 Vol.19 No.7 P.864-888 DOI:10.1631/FITEE.1601501
9	Unsupervised feature selection via joint local learning and group sparse regression Author(s):Yue Wu, Can Wang, Yue-qing Zhang, ... Clicked:6278 Download:1728 Cited:0 <Full Text> <PPT> 1280 Frontiers of Information Technology & Electronic Engineering 2019 Vol.20 No.4 P.538-553 DOI:10.1631/FITEE.1700804
10	FAAD: an unsupervised fast and accurate anomaly detection method for a multi-dimensional sequence over data... Author(s):Bin Li, Yi-jie Wang, Dong-sheng Ya... Clicked:4523 Download:2008 Cited:0 <Full Text> <PPT> 1571 Frontiers of Information Technology & Electronic Engineering 2019 Vol.20 No.3 P.388-404 DOI:10.1631/FITEE.1800038
11	A software defect prediction method with metric compensation based on feature selection and transfer learning Author(s):Jinfu CHEN, Xiaoli WANG, Saihua CA... Clicked:1161 Download:972 Cited:0 <Full Text> <PPT> 121 Frontiers of Information Technology & Electronic Engineering 2022 Vol.23 No.5 P.715-731 DOI:10.1631/FITEE.2100468
12	Feature selection techniques for microarray datasets: a comprehensive review, taxonomy, and future directions Author(s):Kulanthaivel BALAKRISHNAN, Ramasam... Clicked:722 Download:719 Cited:0 <Full Text> Frontiers of Information Technology & Electronic Engineering 2022 Vol.23 No.10 P.1451-1478 DOI:10.1631/FITEE.2100569
13	Feature selection techniques for microarray datasets: a comprehensive review, taxonomy, and future directions Author(s):Ze-bing MAO, Yota ASAI, Ardi WIRAN... Clicked:491 Download:314 Cited:0 <Full Text> Journal of Zhejiang University Science 2022 Vol.23 No.10 P.1451-1478 DOI: