Deep search:Searching for "feature selection" in 'ABSTRACTGot 13 items.
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1Feature selection based on mutual information and redundancy-synergy coefficient
Author(s):YANG Sheng, GU Jun  Clicked:6827  Download:3236  Cited:4  <Full Text>
Journal of Zhejiang University Science  2004 Vol.5 No.11 P.1382-1391  DOI:10.1631/jzus.2004.1382
2A hybrid neural network system for prediction and recognition of promoter regions in human genome
Author(s):CHEN Chuan-bo, LI Tao  Clicked:7192  Download:3140  Cited:4  <Full Text>
Journal of Zhejiang University Science B  2005 Vol.6 No.5 P.401-407  DOI:10.1631/jzus.2005.B0401
3Feature selection for face recognition: a memetic algorithmic approach
Author(s):Dinesh KUMAR, Shakti KUMAR, C. S. ...  Clicked:6317  Download:3853  Cited:6  <Full Text>
Journal of Zhejiang University Science A  2009 Vol.10 No.8 P.1140-1152  DOI:10.1631/jzus.A0820460
4Combining flame monitoring techniques and support vector machine for the online identification of coal blends
Author(s):Hao Zhou, Yuan Li, Qi Tang, Gang L...  Clicked:4746  Download:2806  Cited:0  <Full Text>  <PPT> 1830
Journal of Zhejiang University Science A  2017 Vol.18 No.9 P.677-689  DOI:10.1631/jzus.A1600454
5A new feature selection method for handling redundant information in text classification
Author(s):You-wei Wang, Li-zhou Feng  Clicked:6269  Download:2486  Cited:0  <Full Text>  <PPT> 1502
Frontiers of Information Technology & Electronic Engineering  2018 Vol.19 No.2 P.221-234  DOI:10.1631/FITEE.1601761
6A feature selection approach based on a similarity measure for software defect prediction
Author(s):Qiao Yu, Shu-juan Jiang, Rong-cun ...  Clicked:6958  Download:2755  Cited:0  <Full Text>  <PPT> 1519
Frontiers of Information Technology & Electronic Engineering  2017 Vol.18 No.11 P.1744-1753  DOI:10.1631/FITEE.1601322
7An effective fault prediction model developed using an extreme learning machine with various kernel methods
Author(s):Lov Kumar, Anand Tirkey, Santanu-K...  Clicked:6521  Download:2922  Cited:0  <Full Text>  <PPT> 1365
Frontiers of Information Technology & Electronic Engineering  2018 Vol.19 No.7 P.864-888  DOI:10.1631/FITEE.1601501
8Unsupervised feature selection via joint local learning and group sparse regression
Author(s):Yue Wu, Can Wang, Yue-qing Zhang, ...  Clicked:7460  Download:2068  Cited:0  <Full Text>  <PPT> 1461
Frontiers of Information Technology & Electronic Engineering  2019 Vol.20 No.4 P.538-553  DOI:10.1631/FITEE.1700804
9A software defect prediction method with metric compensation based on feature selection and transfer learning
Author(s):Jinfu CHEN, Xiaoli WANG, Saihua CA...  Clicked:2442  Download:4177  Cited:0  <Full Text>  <PPT> 313
Frontiers of Information Technology & Electronic Engineering  2022 Vol.23 No.5 P.715-731  DOI:10.1631/FITEE.2100468
10Feature selection techniques for microarray datasets: a comprehensive review, taxonomy, and future directions
Author(s):Kulanthaivel BALAKRISHNAN, Ramasam...  Clicked:1855  Download:4808  Cited:0  <Full Text>
Frontiers of Information Technology & Electronic Engineering  2022 Vol.23 No.10 P.1451-1478  DOI:10.1631/FITEE.2100569
11Feature selection techniques for microarray datasets: a comprehensive review, taxonomy, and future directions
Author(s):Ze-bing MAO, Yota ASAI, Ardi WIRAN...  Clicked:587  Download:331  Cited:0  <Full Text>
Journal of Zhejiang University Science  2022 Vol.23 No.10 P.1451-1478  DOI:
12Ensemble-transfer-learning-based channel parameter prediction in asymmetric massive MIMO systems
Author(s):Zunwen HE, Yue LI, Yan ZHANG, Wanc...  Clicked:1687  Download:4233  Cited:0  <Full Text>  <PPT> 293
Frontiers of Information Technology & Electronic Engineering  2023 Vol.24 No.2 P.275-288  DOI:10.1631/FITEE.2200169
13Testosterone Prompted Cardiac Fibrosis in Arrhythmogenic Right Ventricular Cardiomyopathy: Evidence from Cl...
Author(s):Hongyi Cheng, Xinrui Wang, Sichong...  Clicked:65  Download:67  Cited:0  <Full Text>
Journal of Zhejiang University Science B  1998 Vol.-1 No.-1 P.  DOI:10.1007/s42242-BDMJ-D-24-00168
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