CASIA OpenIR

浏览/检索结果: 共10条,第1-10条 帮助

限定条件            
已选(0)清除 条数/页:   排序方式:
PKGCN: prior knowledge enhanced graph convolutional network for graph-based semi-supervised learning 期刊论文
INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS, 2019, 卷号: 10, 期号: 11, 页码: 3115-3127
作者:  Yu, Shaowei;  Yang, Xuebing;  Zhang, Wensheng
浏览  |  Adobe PDF(1959Kb)  |  收藏  |  浏览/下载:330/46  |  提交时间:2020/03/30
Graph convolutional network  Semi-supervised learning  Prior knowledge  Node classification  
A hybrid many-objective cuckoo search algorithm 期刊论文
SOFT COMPUTING, 2019, 卷号: 23, 期号: 21, 页码: 10681-10697
作者:  Cui, Zhihua;  Zhang, Maoqing;  Wang, Hui;  Cai, Xingjuan;  Zhang, Wensheng
收藏  |  浏览/下载:246/0  |  提交时间:2020/03/30
Cuckoo search  Many-objective optimization problems  Non-dominated sorting  Reference points  
Effective Image Retrieval via Multilinear Multi-Index Fusion 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2019, 卷号: 21, 期号: 11, 页码: 2878-2890
作者:  Zhang, Zhizhong;  Xie, Yuan;  Zhang, Wensheng;  Tian, Qi
Adobe PDF(1024Kb)  |  收藏  |  浏览/下载:451/110  |  提交时间:2020/03/30
Visualization  Image representation  Optimization  Buildings  Indexing  Image retrieval  multi-index fusion  tensor multi-rank  person re-identification  
Analyses of inverted generational distance for many-objective optimisation algorithms 期刊论文
INTERNATIONAL JOURNAL OF BIO-INSPIRED COMPUTATION, 2019, 卷号: 14, 期号: 1, 页码: 62-68
作者:  Cai, Xingjuan;  Zhang, Maoqing;  Wang, Hui;  Xu, Meng;  Chen, Jinjun;  Zhang, Wensheng
收藏  |  浏览/下载:239/0  |  提交时间:2019/12/16
inverted generational distance  IGD  generational distance  many-objective optimisation algorithm  mathematical analyses  
Improving short-text representation in convolutional networks by dependency parsing 期刊论文
KNOWLEDGE AND INFORMATION SYSTEMS, 2019, 卷号: 61, 期号: 1, 页码: 463-484
作者:  Zhang, Siheng;  Zhang, Wensheng;  Niu, Jinghao
Adobe PDF(1426Kb)  |  收藏  |  浏览/下载:317/82  |  提交时间:2019/12/16
Convolutional neural network  Dependency parsing  Question answering system  Question classification  Semantic equivalence  
Multi-task Character-Level Attentional Networks for Medical Concept Normalization 期刊论文
NEURAL PROCESSING LETTERS, 2019, 卷号: 49, 期号: 3, 页码: 1239-1256
作者:  Niu, Jinghao;  Yang, Yehui;  Zhang, Siheng;  Sun, Zhengya;  Zhang, Wensheng
Adobe PDF(756Kb)  |  收藏  |  浏览/下载:462/91  |  提交时间:2019/12/16
Convolutional neural network  Multi-task learning  Medical concept normalization  
Spatial non-local attention for thoracic disease diagnosis and visualisation in weakly supervised learning 期刊论文
IET IMAGE PROCESSING, 2019, 卷号: 13, 期号: 11, 页码: 1922-1930
作者:  Yang, Menglin;  Li, Ding;  Zhang, Wensheng
收藏  |  浏览/下载:366/0  |  提交时间:2019/12/16
feature extraction  diseases  medical image processing  patient diagnosis  image segmentation  image classification  supervised learning  image annotation  thoracic disease diagnosis  weakly supervised learning  computer-aided diagnosis  coarse image-level annotations  pathological area  nonlocal aware features  fine-grained expertise  clinical diagnosis  visualisation method  chest X-ray dataset  spatial nonlocal attention mechanism  ResNet-SNA  
Re-KISSME: A robust resampling scheme for distance metric learning in the presence of label noise 期刊论文
NEUROCOMPUTING, 2019, 卷号: 330, 期号: 22, 页码: 138-150
作者:  Zeng, Fanxia;  Zhang, Wensheng;  Zhang, Siheng;  Zheng, Nan
浏览  |  Adobe PDF(917Kb)  |  收藏  |  浏览/下载:426/69  |  提交时间:2019/07/12
Resampling scheme  KISSME  Distance metric learning  Label noise  
Bat algorithm with principal component analysis 期刊论文
INTERNATIONAL JOURNAL OF MACHINE LEARNING AND CYBERNETICS, 2019, 卷号: 10, 期号: 3, 页码: 603-622
作者:  Cui, Zhihua;  Li, Feixiang;  Zhang, Wensheng
收藏  |  浏览/下载:235/0  |  提交时间:2019/07/12
Bat algorithm  Principal component analysis  Golden section method  
Malicious code detection based on CNNs and multi-objective algorithm 期刊论文
JOURNAL OF PARALLEL AND DISTRIBUTED COMPUTING, 2019, 卷号: 129, 页码: 50-58
作者:  Cui, Zhihua;  Du, Lei;  Wang, Penghong;  Cai, Xingjuan;  Zhang, Wensheng
收藏  |  浏览/下载:340/0  |  提交时间:2019/07/11
Malicious code  Deep learning  CNN  Imbalance data  NSGA-II