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1Random walk models for top-N recommendation task
Author(s):Yin ZHANG, Jiang-qin WU, Yue-ting ZHUANG  Clicked:6965  Download:4650  Cited:3  <Full Text>
Journal of Zhejiang University Science A  2009 Vol.10 No.7 P.927-936  DOI:10.1631/jzus.A0920021
2Clustering feature decision trees for semi-supervised classification from high-speed data streams
Author(s):Wen-hua Xu, Zheng Qin, Yang Chang  Clicked:9370  Download:4866  Cited:4  <Full Text>
Journal of Zhejiang University Science C  2011 Vol.12 No.8 P.615-628  DOI:10.1631/jzus.C1000330
3Performance analysis of new word weighting procedures for opinion mining
Author(s):G. R. Brindha, P. Swaminathan, B. Santhi  Clicked:8005  Download:2794  Cited:0  <Full Text>  <PPT> 2097
Frontiers of Information Technology & Electronic Engineering  2016 Vol.17 No.11 P.1186-1198  DOI:10.1631/FITEE.1500283
4Interactive image segmentation with a regression based ensemble learning paradigm
Author(s):Jin Zhang, Zhao-hui Tang, Wei-hua Gui, Qing Chen, Jin-ping Liu  Clicked:7119  Download:2647  Cited:0  <Full Text>
Frontiers of Information Technology & Electronic Engineering  2017 Vol.18 No.7 P.1002-1020  DOI:10.1631/FITEE.1601401
5A self-supervised method for treatment recommendation in sepsis
Author(s):Sihan Zhu, Jian Pu  Clicked:6702  Download:6264  Cited:0  <Full Text>  <PPT> 1994
Frontiers of Information Technology & Electronic Engineering  2021 Vol.22 No.7 P.926-939  DOI:10.1631/FITEE.2000127
6Representation learning via a semi-supervised stacked distance autoencoder for image classification
Author(s):Liang Hou, Xiao-yi Luo, Zi-yang Wang, Jun Liang  Clicked:8012  Download:8615  Cited:0  <Full Text>  <PPT> 1834
Frontiers of Information Technology & Electronic Engineering  2020 Vol.21 No.7 P.1005-1018  DOI:10.1631/FITEE.1900116
7Learning to select pseudo labels: a semi-supervised method for named entity recognition
Author(s):Zhen-zhen Li, Da-wei Feng, Dong-sheng Li, Xi-cheng Lu  Clicked:7713  Download:8372  Cited:0  <Full Text>  <PPT> 1897
Frontiers of Information Technology & Electronic Engineering  2020 Vol.21 No.6 P.903-916  DOI:10.1631/FITEE.1800743
8NLWSNet: a weakly supervised network for visual sentiment analysis in mislabeled web images
Author(s):Luo-yang Xue, Qi-rong Mao, Xiao-hua Huang, Jie Chen  Clicked:7015  Download:6074  Cited:0  <Full Text>  <PPT> 1795
Frontiers of Information Technology & Electronic Engineering  2020 Vol.21 No.9 P.1321-1333  DOI:10.1631/FITEE.1900618
9A local density optimization method based on a graph convolutional network
Author(s):Hao Wang, Li-yan Dong, Tie-hu Fan, Ming-hui Sun  Clicked:5880  Download:3494  Cited:0  <Full Text>  <PPT> 1910
Frontiers of Information Technology & Electronic Engineering  2020 Vol.21 No.12 P.1795-1803  DOI:10.1631/FITEE.1900663
10Pre-training with asynchronous supervised learning for reinforcement learning based autonomous driving
Author(s):Yunpeng Wang, Kunxian Zheng, Daxin Tian, Xuting Duan, Jianshan Zhou  Clicked:7866  Download:7068  Cited:0  <Full Text>  <PPT> 1608
Frontiers of Information Technology & Electronic Engineering  2021 Vol.22 No.5 P.673-686  DOI:10.1631/FITEE.1900637
11NGAT: attention in breadth and depth exploration for semi-supervised graph representation learning
Author(s):Jianke HU, Yin ZHANG  Clicked:7447  Download:7640  Cited:0  <Full Text>  <PPT> 796
Frontiers of Information Technology & Electronic Engineering  2022 Vol.23 No.3 P.409-421  DOI:10.1631/FITEE.2000657
12Ensemble enhanced active learning mixture discriminant analysis model and its application for semi-supervised fault classification
Author(s):Weijun WANG, Yun WANG, Jun WANG, Xinyun FANG, Yuchen HE  Clicked:3226  Download:4649  Cited:0  <Full Text>  <PPT> 641
Frontiers of Information Technology & Electronic Engineering  2022 Vol.23 No.12 P.1814-1827  DOI:10.1631/FITEE.2200053
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