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Efficient Feature Selection Algorithm Based on Particle Swarm Optimization With Learning Memory 期刊论文
IEEE ACCESS, 2019, 卷号: 7, 页码: 166066-166078
作者:  Wei, Bo;  Zhang, Wensheng;  Xia, Xuewen;  Zhang, Yinglong;  Yu, Fei;  Zhu, Zhiliang
收藏  |  浏览/下载：238/0  |  提交时间：2020/03/30
Combinatorial optimization  feature selection  global optimization  learning memory  particle swarm optimization  
Multi-Objective Three-Dimensional DV-Hop Localization Algorithm With NSGA-II 期刊论文
IEEE SENSORS JOURNAL, 2019, 卷号: 19, 期号: 21, 页码: 10003-10015
作者:  Cai, Xingjuan;  Wang, Penghong;  Du, Lei;  Cui, Zhihua;  Zhang, Wensheng;  Chen, Jinjun
收藏  |  浏览/下载：219/0  |  提交时间：2020/03/30
Wireless sensor networks (WSNs)  3DDV-Hop algorithm  multi-objective positioning model  N2-3DDV-Hop  
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：238/0  |  提交时间：2020/03/30
Cuckoo search  Many-objective optimization problems  Non-dominated sorting  Reference points  
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：231/0  |  提交时间：2019/12/16
inverted generational distance  IGD  generational distance  many-objective optimisation algorithm  mathematical analyses  
CLOSE: Coupled content-semantic embedding 期刊论文
SIGNAL IMAGE AND VIDEO PROCESSING, 2019, 卷号: 13, 期号: 6, 页码: 1087-1095
作者:  Ren, Junhong;  Zhang, Wensheng
收藏  |  浏览/下载：233/0  |  提交时间：2019/12/16
Video captioning  Coupled content-semantic embedding  Multi-content embedding  
Improved NSGA-III with selection-and-elimination operator 期刊论文
SWARM AND EVOLUTIONARY COMPUTATION, 2019, 卷号: 49, 页码: 23-33
作者:  Cui, Zhihua;  Chang, Yu;  Zhang, Jiangjiang;  Cai, Xingjuan;  Zhang, Wensheng
收藏  |  浏览/下载：169/0  |  提交时间：2019/12/16
Many-objective optimization  NSGA-III  Reference-point strategy  Selection operator  Elimination operator  
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：348/0  |  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  
Privacy protection based on many-objective optimization algorithm 期刊论文
CONCURRENCY AND COMPUTATION-PRACTICE & EXPERIENCE, 2019, 卷号: 31, 期号: 20, 页码: 14
作者:  Zhang, Jiangjiang;  Xue, Fei;  Cai, Xingjuan;  Cui, Zhihua;  Chang, Yu;  Zhang, Wensheng;  Li, Wuzhao
收藏  |  浏览/下载：247/0  |  提交时间：2019/12/16
achievement scalarizing function  angle information index  balanceable fitness estimation method  many-objective optimization algorithm  privacy protection  
Using High-Frequency Local Field Potentials From Multicortex to Decode Reaching and Grasping Movements in Monkey 期刊论文
IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS, 2019, 卷号: 11, 期号: 2, 页码: 270-280
作者:  Zhang, Peng;  Huang, Jian;  Li, Wei;  Ma, Xuan;  Yang, Peipei;  Dai, Jun;  He, Jiping
收藏  |  浏览/下载：262/0  |  提交时间：2019/09/30
Intracortical brain-machine interface (iBMI)  local field potential (LFP)  monkey  multicortex  wavelet packet transform (WPT)  
Video Highlight Detection via Region-Based Deep Ranking Model 期刊论文
INTERNATIONAL JOURNAL OF PATTERN RECOGNITION AND ARTIFICIAL INTELLIGENCE, 2019, 卷号: 33, 期号: 7, 页码: 14
作者:  Jiao, Yifan;  Zhang, Tianzhu;  Huang, Shucheng;  Liu, Bin;  Xu, Changsheng
收藏  |  浏览/下载：285/0  |  提交时间：2019/09/30
Video highlight detection  position-sensitive  fully convolutional network