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计算技术研究所 [6]
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兰州理工大学 [1]
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期刊论文 [14]
会议论文 [2]
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2020 [16]
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A Two-Stage Triplet Network Training Framework for Image Retrieval
期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2020, 卷号: 22, 期号: 12, 页码: 3128-3138
作者:
Min, Weiqing
;
Mei, Shuhuan
;
Li, Zhuo
;
Jiang, Shuqiang
收藏
  |  
浏览/下载:31/0
  |  
提交时间:2021/12/01
Image retrieval
Feature extraction
Convolution
Training
Image representation
Task analysis
Measurement
TransformerCPI: improving compound-protein interaction prediction by sequence-based deep learning with self-attention mechanism and label reversal experiments
期刊论文
BIOINFORMATICS, 2020, 卷号: 36, 期号: 16, 页码: 4406-4414
作者:
Chen, Lifan
;
Tan, Xiaoqin
;
Wang, Dingyan
;
Zhong, Feisheng
;
Liu, Xiaohong
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  |  
浏览/下载:17/0
  |  
提交时间:2021/05/24
Changes of Effective Connectivity in the Alpha Band Characterize Differential Processing of Audiovisual Information in Cross-Modal Selective Attention
期刊论文
NEUROSCIENCE BULLETIN, 2020, 卷号: 36, 期号: 9, 页码: 1009-1022
作者:
Niu, Weikun
;
Jiang, Yuying
;
Zhang, Xin
;
Jiang, Tianzi
;
Zhang, Yujin
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  |  
浏览/下载:23/0
  |  
提交时间:2020/08/24
Human EEG
Audiovisual selective attention
Granger Causality
Pattern classification
Radiomics in liver diseases: Current progress and future opportunities
期刊论文
LIVER INTERNATIONAL, 2020, 卷号: 40, 期号: 9, 页码: 2050-2063
作者:
Wei, Jingwei
;
Jiang, Hanyu
;
Gu, Dongsheng
;
Niu, Meng
;
Fu, Fangfang
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  |  
浏览/下载:45/0
  |  
提交时间:2020/08/03
data science
liver diseases
machine learning
precision medicine
radiologic technology
Relation-Aware Pedestrian Attribute Recognition with Graph Convolutional Networks
会议论文
New York, 2020-2
作者:
Zichang Tan
;
Yang Yang
;
Jun Wan
;
Guodong Guo
;
Stan Z. Li
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  |  
浏览/下载:7/0
  |  
提交时间:2021/05/31
Deep Learning, Pedestrian Attribute Recognition
Object-difference drived graph convolutional networks for visual question answering
期刊论文
MULTIMEDIA TOOLS AND APPLICATIONS, 2020, 页码: 19
作者:
Zhu, Xi
;
Mao, Zhendong
;
Chen, Zhineng
;
Li, Yangyang
;
Wang, Zhaohui
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  |  
浏览/下载:19/0
  |  
提交时间:2020/06/02
Visual question answering
Graph convolutional networks
Object-difference
Learning Multifunctional Binary Codes for Personalized Image Retrieval
期刊论文
INTERNATIONAL JOURNAL OF COMPUTER VISION, 2020, 页码: 20
作者:
Liu, Haomiao
;
Wang, Ruiping
;
Shan, Shiguang
;
Chen, Xilin
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浏览/下载:13/0
  |  
提交时间:2020/12/10
Image retrieval
Multi-task learning
Hashing
Adaptive Deep Modeling of Users and Items Using Side Information for Recommendation
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2020, 卷号: 31, 期号: 3, 页码: 737-748
作者:
Han, Jiayu
;
Zheng, Lei
;
Xu, Yuanbo
;
Zhang, Bangzuo
;
Zhuang, Fuzhen
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浏览/下载:7/0
  |  
提交时间:2020/12/10
Adaptation models
Recommender systems
Feature extraction
Computational modeling
Predictive models
Task analysis
Adaptive systems
Adaptive user preference model
attention factor
convolutional neural network (CNN)
recommendation system
Task-Oriented Feature-Fused Network With Multivariate Dataset for Joint Face Analysis
期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2020, 卷号: 50, 期号: 3, 页码: 1292-1305
作者:
Lin, Xuxin
;
Wan, Jun
;
Xie, Yiliang
;
Zhang, Shifeng
;
Lin, Chi
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  |  
浏览/下载:10/0
  |  
提交时间:2020/03/30
Face
Task analysis
Training
Face recognition
Facial features
Pipelines
Attribute analysis
face analysis
face detection
landmark localization
multitask learning
Multistep Deep System for Multimodal Emotion Detection With Invalid Data in the Internet of Things
期刊论文
IEEE ACCESS, 2020, 卷号: 8, 页码: 187208-187221
作者:
Li, Minjia
;
Xie, Lun
;
Lv, Zeping
;
Li, Juan
;
Wang, Zhiliang
收藏
  |  
浏览/下载:12/0
  |  
提交时间:2020/12/05
Feature extraction
Internet of Things
Semantics
Databases
Task analysis
Emotion recognition
Biomedical monitoring
Internet of Things
multimodal emotion detection
invalid data
multi-step deep (MSD) system
deep neural networks
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