Deep search:Searching for "Supervised learning" in 'KEYWORDGot 11 items.
index Title
1Random walk models for top-N recommendation task
Author(s):Yin ZHANG, Jiang-qin WU, Yue-ting ...  Clicked:5917  Download:4163  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:7875  Download:4416  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 ...  Clicked:5760  Download:2094  Cited:0  <Full Text>
Frontiers of Information Technology & Electronic Engineering  2017 Vol.18 No.7 P.1002-1020  DOI:10.1631/FITEE.1601401
4A self-supervised method for treatment recommendation in sepsis
Author(s):Sihan Zhu, Jian Pu  Clicked:5017  Download:3973  Cited:0  <Full Text>  <PPT> 1641
Frontiers of Information Technology & Electronic Engineering  2021 Vol.22 No.7 P.926-939  DOI:10.1631/FITEE.2000127
5Representation learning via a semi-supervised stacked distance autoencoder for image classification
Author(s):Liang Hou, Xiao-yi Luo, Zi-yang Wa...  Clicked:6112  Download:5244  Cited:0  <Full Text>  <PPT> 1605
Frontiers of Information Technology & Electronic Engineering  2020 Vol.21 No.7 P.1005-1018  DOI:10.1631/FITEE.1900116
6NLWSNet: a weakly supervised network for visual sentiment analysis in mislabeled web images
Author(s):Luo-yang Xue, Qi-rong Mao, Xiao-hu...  Clicked:5025  Download:3677  Cited:0  <Full Text>  <PPT> 1496
Frontiers of Information Technology & Electronic Engineering  2020 Vol.21 No.9 P.1321-1333  DOI:10.1631/FITEE.1900618
7A local density optimization method based on a graph convolutional network
Author(s):Hao Wang, Li-yan Dong, Tie-hu Fan,...  Clicked:4421  Download:2411  Cited:0  <Full Text>  <PPT> 1445
Frontiers of Information Technology & Electronic Engineering  2020 Vol.21 No.12 P.1795-1803  DOI:10.1631/FITEE.1900663
8Pre-training with asynchronous supervised learning for reinforcement learning based autonomous driving
Author(s):Yunpeng Wang, Kunxian Zheng, Daxin...  Clicked:5606  Download:4135  Cited:0  <Full Text>  <PPT> 1318
Frontiers of Information Technology & Electronic Engineering  2021 Vol.22 No.5 P.673-686  DOI:10.1631/FITEE.1900637
9NGAT: attention in breadth and depth exploration for semi-supervised graph representation learning
Author(s):Jianke HU, Yin ZHANG  Clicked:5735  Download:4450  Cited:0  <Full Text>  <PPT> 378
Frontiers of Information Technology & Electronic Engineering  2022 Vol.23 No.3 P.409-421  DOI:10.1631/FITEE.2000657
10Self-supervised graph learning with target-adaptive masking for session-based recommendation
Author(s):Yitong WANG, Fei CAI, Zhiqiang PAN...  Clicked:1402  Download:4016  Cited:0  <Full Text>  <PPT> 259
Frontiers of Information Technology & Electronic Engineering  2023 Vol.24 No.1 P.73-87  DOI:10.1631/FITEE.2200137
11Interactive medical image segmentation with self-adaptive confidence calibration
Author(s):Chuyun SHEN, Wenhao LI, Qisen XU, ...  Clicked:792  Download:481  Cited:0  <Full Text>  <PPT> 141
Frontiers of Information Technology & Electronic Engineering  2023 Vol.24 No.9 P.1332-1348  DOI:10.1631/FITEE.2200299
Journal of Zhejiang University-SCIENCE, 38 Zheda Road, Hangzhou 310027, China
Tel: +86-571-87952783; E-mail: cjzhang@zju.edu.cn
Copyright © 2000 - 2024 Journal of Zhejiang University-SCIENCE