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10 results found in all.
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1Random walk models for top-N recommendation task
Author(s):Yin ZHANG, Jiang-qin WU, Yue-ting ZHUANG  Clicked:6983  Download:4762  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:9380  Download:4986  Cited:4  <Full Text>
Journal of Zhejiang University Science C  2011 Vol.12 No.8 P.615-628  DOI:10.1631/jzus.C1000330
3Interactive 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:7399  Download:2710  Cited:0  <Full Text>
Frontiers of Information Technology & Electronic Engineering  2017 Vol.18 No.7 P.1002-1020  DOI:10.1631/FITEE.1601401
4Representation learning via a semi-supervised stacked distance autoencoder for image classification
Author(s):Liang Hou, Xiao-yi Luo, Zi-yang Wang, Jun Liang  Clicked:8031  Download:8621  Cited:0  <Full Text>  <PPT> 1835
Frontiers of Information Technology & Electronic Engineering  2020 Vol.21 No.7 P.1005-1018  DOI:10.1631/FITEE.1900116
5Learning 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:7724  Download:8432  Cited:0  <Full Text>  <PPT> 1955
Frontiers of Information Technology & Electronic Engineering  2020 Vol.21 No.6 P.903-916  DOI:10.1631/FITEE.1800743
6A local density optimization method based on a graph convolutional network
Author(s):Hao Wang, Li-yan Dong, Tie-hu Fan, Ming-hui Sun  Clicked:5889  Download:3562  Cited:0  <Full Text>  <PPT> 1974
Frontiers of Information Technology & Electronic Engineering  2020 Vol.21 No.12 P.1795-1803  DOI:10.1631/FITEE.1900663
7NGAT: attention in breadth and depth exploration for semi-supervised graph representation learning
Author(s):Jianke HU, Yin ZHANG  Clicked:7463  Download:7651  Cited:0  <Full Text>  <PPT> 797
Frontiers of Information Technology & Electronic Engineering  2022 Vol.23 No.3 P.409-421  DOI:10.1631/FITEE.2000657
8Ensemble 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:3245  Download:4705  Cited:0  <Full Text>  <PPT> 713
Frontiers of Information Technology & Electronic Engineering  2022 Vol.23 No.12 P.1814-1827  DOI:10.1631/FITEE.2200053
9Interactive 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:2812  Download:1199  Cited:0  <Full Text>  <PPT> 1311
Frontiers of Information Technology & Electronic Engineering  2023 Vol.24 No.9 P.1332-1348  DOI:10.1631/FITEE.2200299
10Dynamic prompting class distribution optimization for semi-supervised sound event detection
Author(s):Lijian GAO, Qing ZHU, Yaxin SHEN, Qirong MAO, Yongzhao ZHAN  Clicked:1367  Download:1253  Cited:0  <Full Text>  <PPT> 206
Frontiers of Information Technology & Electronic Engineering  2025 Vol.26 No.4 P.556-567  DOI:10.1631/FITEE.2400061
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