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科研机构
自动化研究所 [7]
地理科学与资源研究所 [1]
心理研究所 [1]
合肥物质科学研究院 [1]
烟台海岸带研究所 [1]
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期刊论文 [10]
会议论文 [1]
发表日期
2020 [11]
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CI-GNN: Building a Category-Instance Graph for Zero-Shot Video Classification
期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2020, 卷号: 22, 期号: 12, 页码: 3088-3100
作者:
Gao, Junyu
;
Xu, Changsheng
收藏
  |  
浏览/下载:8/0
  |  
提交时间:2021/03/01
Semantics
Task analysis
Visualization
Training
Message passing
Pattern recognition
Neural networks
Zero-shot video classification
graph neural network
zero-shot learning
Prediction of trust propensity from intrinsic brain morphology and functional connectome
期刊论文
HUMAN BRAIN MAPPING, 2020, 页码: 17
作者:
Feng, Chunliang
;
Zhu, Zhiyuan
;
Cui, Zaixu
;
Ushakov, Vadim
;
Dreher, Jean-Claude
收藏
  |  
浏览/下载:27/0
  |  
提交时间:2020/11/30
functional decoding
gray matter
individualized prediction
large-scale brain networks
trust propensity
Contextual Stroke Classification in Online Handwritten Documents with Edge Graph Attention Networks
期刊论文
SN Computer Science, 2020, 期号: 1, 页码: 1
作者:
Jun-Yu Ye
;
Yan-Ming Zhang
;
Qing Yang
;
Cheng-Lin Liu
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2021/03/30
Online handwritten document
stroke classification
graph attention networks
structured prediction
Relating anomalous large-scale atmospheric circulation patterns to temperature and precipitation anomalies in the East Asian monsoon region
期刊论文
ATMOSPHERIC RESEARCH, 2020, 卷号: 232, 页码: UNSP 104679
作者:
Yang, Y
;
Gao, M
;
Xie, NR
;
Gao, ZQ
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  |  
浏览/下载:32/0
  |  
提交时间:2020/07/08
Atmospheric circulation patterns
Self-organizing map
Temperature and precipitation anomalies
East Asian Monsoon
Dual-energy CT-based deep learning radiomics can improve lymph node metastasis risk prediction for gastric cancer
期刊论文
EUROPEAN RADIOLOGY, 2020, 页码: 10
作者:
Li, Jing
;
Dong, Di
;
Fang, Mengjie
;
Wang, Rui
;
Tian, Jie
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  |  
浏览/下载:46/0
  |  
提交时间:2020/03/30
Gastric cancer
Tomography
X-ray computed
Lymph node
Radiomics
Deep learning
Learning Embeddings Based on Global Structural Similarity in Heterogeneous Networks
期刊论文
IEEE Intelligent Systems, 2020, 卷号: Early Access, 期号: Early Access, 页码: 1-1
作者:
Wanting Wen
;
Daniel D. Zeng
;
Jie Bai
;
Kang Zhao
;
Ziqiang Li
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  |  
浏览/下载:11/0
  |  
提交时间:2020/10/21
Heterogeneous networks
Task analysis
Intelligent systems
Learning (artificial intelligence)
2D and 3D CT Radiomic Features Performance Comparison in Characterization of Gastric Cancer: A Multi-center Study
期刊论文
IEEE Journal of Biomedical and Health Informatics, 2020, 卷号: 25, 期号: 3, 页码: 755-762
作者:
Meng, Lingwei
;
Dong, Di
;
Chen, Xin
;
Fang, Mengjie
;
Wang, Rongpin
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  |  
浏览/下载:9/0
  |  
提交时间:2020/10/25
Computed tomography (CT)
Structural Decomposition Model for the Evolution of AS-Level Internet Topologies
期刊论文
IEEE ACCESS, 2020, 卷号: 8, 页码: 175277-175296
作者:
Jiao, Bo
;
Zhang, Wensheng
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  |  
浏览/下载:6/0
  |  
提交时间:2021/01/07
Internet topology
Generators
Solid modeling
Topology
Network topology
Market research
Internet topology
structural model
power-law distribution
graph decomposition
complex network
scale-free network
BCPL: Convolutional Prototype Learning for Brain Networks for Depression Diagnosis
会议论文
Online, 2020/06/23
作者:
Zhi DM(支冬梅)
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  |  
浏览/下载:24/0
  |  
提交时间:2021/06/28
Detecting Forest Disturbance and Recovery in Primorsky Krai, Russia, Using Annual Landsat Time Series and Multi-Source Land Cover Products
期刊论文
REMOTE SENSING, 2020, 卷号: 12, 期号: 1, 页码: 21
作者:
Hu, Yang
;
Hu, Yunfeng
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2020/05/19
temporal segmentation
change detection
landsat
time series
forest disturbance
forest recovery
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