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9 results found in all.

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1	Random walk models for top-N recommendation task Author(s):Yin ZHANG, Jiang-qin WU, Yue-ting ZHUANG Clicked:5856 Download:4114 Cited:3 <Full Text> Journal of Zhejiang University Science A 2009 Vol.10 No.7 P.927-936 DOI:10.1631/jzus.A0920021
2	Clustering feature decision trees for semi-supervised classification from high-speed data streams Author(s):Wen-hua Xu, Zheng Qin, Yang Chang Clicked:7749 Download:4386 Cited:4 <Full Text> Journal of Zhejiang University Science C 2011 Vol.12 No.8 P.615-628 DOI:10.1631/jzus.C1000330
3	Interactive 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:5584 Download:2053 Cited:0 <Full Text> Frontiers of Information Technology & Electronic Engineering 2017 Vol.18 No.7 P.1002-1020 DOI:10.1631/FITEE.1601401
4	Representation learning via a semi-supervised stacked distance autoencoder for image classification Author(s):Liang Hou, Xiao-yi Luo, Zi-yang Wang, Jun Liang Clicked:5887 Download:3949 Cited:0 <Full Text> <PPT> 1580 Frontiers of Information Technology & Electronic Engineering 2020 Vol.21 No.7 P.1005-1018 DOI:10.1631/FITEE.1900116
5	Learning 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:5962 Download:4728 Cited:0 <Full Text> <PPT> 1499 Frontiers of Information Technology & Electronic Engineering 2020 Vol.21 No.6 P.903-916 DOI:10.1631/FITEE.1800743
6	A local density optimization method based on a graph convolutional network Author(s):Hao Wang, Li-yan Dong, Tie-hu Fan, Ming-hui Sun Clicked:4248 Download:2286 Cited:0 <Full Text> <PPT> 1385 Frontiers of Information Technology & Electronic Engineering 2020 Vol.21 No.12 P.1795-1803 DOI:10.1631/FITEE.1900663
7	NGAT: attention in breadth and depth exploration for semi-supervised graph representation learning Author(s):Jianke HU, Yin ZHANG Clicked:5556 Download:3875 Cited:0 <Full Text> <PPT> 339 Frontiers of Information Technology & Electronic Engineering 2022 Vol.23 No.3 P.409-421 DOI:10.1631/FITEE.2000657
8	Ensemble 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:1346 Download:1396 Cited:0 <Full Text> <PPT> 275 Frontiers of Information Technology & Electronic Engineering 2022 Vol.23 No.12 P.1814-1827 DOI:10.1631/FITEE.2200053
9	Interactive medical image segmentation with self-adaptive confidence calibration Author(s):Chuyun SHEN, Wenhao LI, Qisen XU, Bin HU, Bo JIN, Haibin CAI, Fengping ZHU, Yuxin LI, Xiangfeng WANG Clicked:629 Download:413 Cited:0 <Full Text> <PPT> 111 Frontiers of Information Technology & Electronic Engineering 2023 Vol.24 No.9 P.1332-1348 DOI:10.1631/FITEE.2200299

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