中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
首页
机构
成果
学者
登录
注册
登陆
×
验证码:
换一张
忘记密码?
记住我
×
校外用户登录
CAS IR Grid
机构
自动化研究所 [5]
地理科学与资源研究所 [4]
深圳先进技术研究院 [2]
海洋研究所 [2]
水土保持研究所 [2]
计算技术研究所 [1]
更多
采集方式
OAI收割 [23]
内容类型
期刊论文 [20]
学位论文 [2]
会议论文 [1]
发表日期
2023 [1]
2022 [4]
2020 [1]
2019 [4]
2018 [3]
2017 [4]
更多
学科主题
Astronomy ... [1]
Engineerin... [1]
Water Reso... [1]
筛选
浏览/检索结果:
共23条,第1-10条
帮助
条数/页:
5
10
15
20
25
30
35
40
45
50
55
60
65
70
75
80
85
90
95
100
排序方式:
请选择
题名升序
题名降序
提交时间升序
提交时间降序
作者升序
作者降序
发表日期升序
发表日期降序
Adaptive pseudo-Siamese policy network for temporal knowledge prediction
期刊论文
OAI收割
Neural Networks, 2023, 卷号: 160, 页码: 192-201
作者:
Shao PP(邵朋朋)
  |  
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2023/07/03
NEAWalk: Inferring missing social interactions via topological-temporal embeddings of social groups
期刊论文
OAI收割
KNOWLEDGE AND INFORMATION SYSTEMS, 2022, 页码: 25
作者:
Shen, Yinghan
;
Jiang, Xuhui
;
Li, Zijian
;
Wang, Yuanzhuo
;
Jin, Xiaolong
  |  
收藏
  |  
浏览/下载:20/0
  |  
提交时间:2022/12/07
Dynamic network completion
Dynamic graph representation learning
Social group
Anonymous walk
SE-GRU: Structure Embedded Gated Recurrent Unit Neural Networks for Temporal Link Prediction
期刊论文
OAI收割
IEEE TRANSACTIONS ON NETWORK SCIENCE AND ENGINEERING, 2022, 卷号: 9, 期号: 4, 页码: 2495-2509
作者:
Yin, Yanting
;
Wu, Yajing
;
Yang, Xuebing
;
Zhang, Wensheng
;
Yuan, Xiaojie
  |  
收藏
  |  
浏览/下载:37/0
  |  
提交时间:2022/07/25
Time-frequency analysis
Feature extraction
Predictive models
Optimization
Topology
Measurement
Logic gates
Temporal link prediction
dynamic graphs
graph embedding
neural networks
Tucker decomposition-based temporal knowledge graph completion
期刊论文
OAI收割
KNOWLEDGE-BASED SYSTEMS, 2022, 卷号: 238, 页码: 9
作者:
Shao, Pengpeng
;
Zhang, Dawei
;
Yang, Guohua
;
Tao, Jianhua
;
Che, Feihu
  |  
收藏
  |  
浏览/下载:35/0
  |  
提交时间:2022/06/10
Temporal knowledge graphs
Tucker decomposition
Reconstruction
Contrastive learning
A GAN-Based Short-Term Link Traffic Prediction Approach for Urban Road Networks Under a Parallel Learning Framework
期刊论文
OAI收割
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 页码: 12
作者:
Jin, Junchen
;
Rong, Dingding
;
Zhang, Tong
;
Ji, Qingyuan
;
Guo, Haifeng
  |  
收藏
  |  
浏览/下载:20/0
  |  
提交时间:2022/06/06
Roads
Predictive models
Data models
Recurrent neural networks
Generators
Computer architecture
Deep learning
Short-term link speed prediction
signalized urban networks
Wasserstein generative adversarial network
Differing roles of base and fast flow in ensemble seasonal streamflow forecasting: An experimental investigation
期刊论文
OAI收割
JOURNAL OF HYDROLOGY, 2020, 卷号: 591, 页码: 12
作者:
Huang, Zeqing
;
Zhao, Tongtiegang
;
Liu, Yang
;
Zhang, Yongyong
;
Jiang, Tao
  |  
收藏
  |  
浏览/下载:25/0
  |  
提交时间:2021/03/15
Streamflow forecasting
Seasonal flow
Base flow
Fast flow
Forecast skill
Preliminary prediction of individual response to electroconvulsive therapy using whole-brain functional magnetic resonance imaging data
期刊论文
OAI收割
NeuroImage: Clinical, 2019, 卷号: 26, 期号: 102080, 页码: 1-9
作者:
Hailun, Sun
;
Rongtao, Jiang
;
Shile, Qi
;
Katherine, L., Narr
;
Benjamin, SC, Wade
  |  
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2020/06/11
Individualized prediction
Electroconvulsive therapy (ECT)
Functional connectivity (FC)
Major depressive disorder (DEP)
Resting-state fMRI
HDRS
Treatment response
Modelling of soil organic carbon and bulk density in invaded coastal wetlands using Sentinel-1 imagery
期刊论文
OAI收割
INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION, 2019, 卷号: 82, 页码: 8
作者:
Yang, Ren-Min
  |  
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2020/06/05
Soil carbon
Soil-vegetation relationship
Synthetic aperture radar
Temporal variation
Cause-effect modeling
A deep learning algorithm to estimate hourly global solar radiation from geostationary satellite data
期刊论文
OAI收割
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2019, 卷号: 114, 页码: 13
作者:
Jiang, Hou
;
Lu, Ning
;
Qin, Jun
;
Tang, Wenjun
;
Yao, Ling
  |  
收藏
  |  
浏览/下载:40/0
  |  
提交时间:2020/05/19
Global solar radiation
Convolutional neural network
Deep learning
Geostationary satellite
Temporal and spatial variations
A deep learning algorithm to estimate hourly global solar radiation from geostationary satellite data
期刊论文
OAI收割
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2019, 卷号: 114, 页码: 13
作者:
Jiang, Hou
;
Lu, Ning
;
Qin, Jun
;
Tang, Wenjun
;
Yao, Ling
  |  
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2020/05/19
Global solar radiation
Convolutional neural network
Deep learning
Geostationary satellite
Temporal and spatial variations