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科研机构
自动化研究所 [13]
内容类型
期刊论文 [13]
发表日期
2021 [13]
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共13条,第1-10条
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发表日期:2021
内容类型:期刊论文
专题:自动化研究所
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HackRL: Reinforcement learning with hierarchical attention for cross-graph knowledge fusion and collaborative reasoning
期刊论文
KNOWLEDGE-BASED SYSTEMS, 2021, 卷号: 233, 页码: 14
作者:
Yang, Linyao
;
Wang, Xiao
;
Dai, Yuxin
;
Xin, Kejun
;
Zheng, Xiaolong
收藏
  |  
浏览/下载:47/0
  |  
提交时间:2021/12/28
Knowledge fusion
Knowledge reasoning
Decision-making
Hierarchical graph attention
Reinforcement learning
Dynamic-Fusion-Based Federated Learning for COVID-19 Detection
期刊论文
IEEE INTERNET OF THINGS JOURNAL, 2021, 卷号: 8, 期号: 21, 页码: 15884-15891
作者:
Zhang, Weishan
;
Zhou, Tao
;
Lu, Qinghua
;
Wang, Xiao
;
Zhu, Chunsheng
收藏
  |  
浏览/下载:43/0
  |  
提交时间:2022/01/27
Data models
COVID-19
Training
Collaborative work
Analytical models
Servers
Predictive models
AI
COVID-19
CT
federated learning
image processing
machine learning
X-Ray
Multiagent Adversarial Collaborative Learning via Mean-Field Theory
期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2021, 卷号: 51, 期号: 10, 页码: 4994-5007
作者:
Luo, Guiyang
;
Zhang, Hui
;
He, Haibo
;
Li, Jinglin
;
Wang, Fei-Yue
收藏
  |  
浏览/下载:33/0
  |  
提交时间:2021/12/28
Games
Training
Collaborative work
Task analysis
Nash equilibrium
Sociology
Statistics
Adversarial collaborative learning (ACL)
friend-or-foe Q-learning
mean-field theory
multiagent reinforcement learning (MARL)
Knowledge Graph enhanced Neural Collaborative Filtering with Residual Recurrent Network
期刊论文
NEUROCOMPUTING, 2021, 卷号: 454, 页码: 417-429
作者:
Sang, Lei
;
Xu, Min
;
Qian, Shengsheng
;
Wu, Xindong
收藏
  |  
浏览/下载:86/0
  |  
提交时间:2021/08/15
Recommendation system
Knowledge Graph
Relational Path Embedding
Neural Collaborative Filtering
Residual Recurrent Network
Multi-object tracking with hard-soft attention network and group-based cost minimization
期刊论文
NEUROCOMPUTING, 2021, 卷号: 447, 页码: 80-91
作者:
Liu, Yating
;
Li, Xuesong
;
Bai, Tianxiang
;
Wang, Kunfeng
;
Wang, Fei-Yue
收藏
  |  
浏览/下载:34/0
  |  
提交时间:2021/08/15
Multi-object tracking
Attention mechanism
Unary and binary costs
Appearance-motion affinity
Energy-efficient Collaborative Sensing: Learning the Latent Correlations of Heterogeneous Sensors
期刊论文
ACM TRANSACTIONS ON SENSOR NETWORKS, 2021, 卷号: 17, 期号: 3, 页码: 28
作者:
Liang, Yunji
;
Wang, Xin
;
Yu, Zhiwen
;
Guo, Bin
;
Zheng, Xiaolong
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2022/06/10
Energy efficiency
latent correlation learning
collaboration sensing
internet of things
temporal convolutional network
attention mechanism
multi-task learning
Context-Aware Dynamic Feature Extraction for 3D Object Detection in Point Clouds
期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2021, 页码: 13
作者:
Tian, Yonglin
;
Huang, Lichao
;
Yu, Hui
;
Wu, Xiangbin
;
Li, Xuesong
收藏
  |  
浏览/下载:28/0
  |  
提交时间:2022/01/27
Three-dimensional displays
Feature extraction
Convolution
Proposals
Kernel
Laser radar
Semantics
Point clouds
3D detection
dynamic network
context features
Demand-driven spreading patterns of African swine fever in China
期刊论文
CHAOS, 2021, 卷号: 31, 期号: 6, 页码: 7
作者:
Yang, Jiannan
;
Tang, Kaichen
;
Cao, Zhidong
;
Pfeiffer, Dirk U.
;
Zhao, Kang
收藏
  |  
浏览/下载:75/0
  |  
提交时间:2021/08/15
Robust Collaborative Learning of Patch-Level and Image-Level Annotations for Diabetic Retinopathy Grading From Fundus Image
期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2021, 页码: 11
作者:
Yang, Yehui
;
Shang, Fangxin
;
Wu, Binghong
;
Yang, Dalu
;
Wang, Lei
收藏
  |  
浏览/下载:32/0
  |  
提交时间:2022/01/27
Lesions
Annotations
Generators
Feature extraction
Image segmentation
Retinopathy
Diabetes
Collaborative learning
convolutional neural networks (CNNs)
diabetic retinopathy (DR)
fundus image
Web Objectionable Video Recognition Based on Deep Multi-Instance Learning With Representative Prototypes Selection
期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2021, 卷号: 31, 期号: 3, 页码: 1222-1233
作者:
Ding, Xinmiao
;
Li, Bing
;
Li, Yangxi
;
Guo, Wen
;
Liu, Yao
收藏
  |  
浏览/下载:49/0
  |  
提交时间:2021/04/27
Feature extraction
Prototypes
Visualization
Support vector machines
Machine learning
Streaming media
Spectrogram
Representative prototype selection
objectionable video recognition
deep learning
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