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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
2020 [13]
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共13条,第1-10条
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发表日期:2020
专题:自动化研究所
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Online Transfer Learning for Differential Diagnosis of Benign and Malignant Thyroid Nodules With Ultrasound Images
期刊论文
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2020, 卷号: 67, 期号: 10, 页码: 2773-2780
作者:
Zhou, Hui
;
Wang, Kun
;
Tian, Jie
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2021/01/07
Cancer
Biological system modeling
Ultrasonic imaging
Feature extraction
Radiomics
Training
Deep learning
Diagnosis
online learning
radiomics
transfer learning
thyroid nodules
ultrasound images
WAGNN: A Weighted Aggregation Graph Neural Network for robot skill learning
期刊论文
ROBOTICS AND AUTONOMOUS SYSTEMS, 2020, 卷号: 130, 页码: 9
作者:
Zhang, Fengyi
;
Liu, Zhiyong
;
Xiong, Fangzhou
;
Su, Jianhua
;
Qiao, Hong
收藏
  |  
浏览/下载:19/0
  |  
提交时间:2020/07/20
Skill transfer learning
Serial structures
Robot skill learning
Graph Neural Network
WAGNN: A Weighted Aggregation Graph Neural Network for robot skill learning
期刊论文
ROBOTICS AND AUTONOMOUS SYSTEMS, 2020, 卷号: 130, 页码: 9
作者:
Zhang, Fengyi
;
Liu, Zhiyong
;
Xiong, Fangzhou
;
Su, Jianhua
;
Qiao, Hong
收藏
  |  
浏览/下载:7/0
  |  
提交时间:2020/07/20
Skill transfer learning
Serial structures
Robot skill learning
Graph Neural Network
A Study of Personal Recognition Method Based on EMG Signal
期刊论文
IEEE TRANSACTIONS ON BIOMEDICAL CIRCUITS AND SYSTEMS, 2020, 卷号: 14, 期号: 4, 页码: 681-691
作者:
Lu, Lijing
;
Mao, Jingna
;
Wang, Wuqi
;
Ding, Guangxin
;
Zhang, Zhiwei
收藏
  |  
浏览/下载:30/0
  |  
提交时间:2020/09/28
Electromyography
personal identification
personal verification
discrete wavelet transform
ExtraTreesClassifer
continuous wavelet transform
convolutional neural networks
transfer learning
siamese network
Nash Q-learning based equilibrium transfer for integrated energy management game with We-Energy
期刊论文
NEUROCOMPUTING, 2020, 卷号: 396, 页码: 216-223
作者:
Yang, Lingxiao
;
Sun, Qiuye
;
Ma, Dazhong
;
Wei, Qinglai
收藏
  |  
浏览/下载:52/0
  |  
提交时间:2020/06/22
Nash Q-learning
Integrated energy management game
Interconnected multicarrier systems
Equilibrium transfer
We-Energy
Multisource Transfer Learning for Cross-Subject EEG Emotion Recognition
期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2020, 卷号: 50, 期号: 7, 页码: 3281-3293
作者:
Li, Jinpeng
;
Qiu, Shuang
;
Shen, Yuan-Yuan
;
Liu, Cheng-Lin
;
He, Huiguang
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2020/08/03
Brain modeling
Electroencephalography
Emotion recognition
Data models
Training
Calibration
Training data
Brain-computer interface
emotion recognition
transfer learning (TL)
Domain Adaptation for EEG Emotion Recognition Based on Latent Representation Similarity
期刊论文
IEEE TRANSACTIONS ON COGNITIVE AND DEVELOPMENTAL SYSTEMS, 2020, 卷号: 12, 期号: 2, 页码: 344-353
作者:
Li, Jinpeng
;
Qiu, Shuang
;
Du, Changde
;
Wang, Yixin
;
He, Huiguang
收藏
  |  
浏览/下载:42/0
  |  
提交时间:2020/08/03
Electroencephalography
Brain modeling
Emotion recognition
Adaptation models
Training
Feature extraction
Neural networks
Domain adaptation
electroencephalogram (EEG)
emotion recognition
neural network
transfer learning
Tracking-by-Fusion via Gaussian Process Regression Extended to Transfer Learning
期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2020, 卷号: 42, 期号: 4, 页码: 939-955
作者:
Gao, Jin
;
Wang, Qiang
;
Xing, Junliang
;
Ling, Haibin
;
Hu, Weiming
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2020/06/02
Task analysis
Correlation
Target tracking
Probability distribution
Visualization
Collaboration
Visual tracking
Gaussian processes
correlation filters
transfer learning
tracking-by-fusion
Online Transfer Learning for Differential Diagnosis of Benign and Malignant Thyroid
期刊论文
IEEE Transactions on Biomedical Engineering, 2020, 期号: 0, 页码: 0
作者:
Zhou, Hui
;
Wang, Kun
;
Tian, Jie
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2020/05/28
Diagnosis
Ultrasound Images
Online Learning
Radiomics
Transfer Learning
Thyroid Nodules
Progressive Object Transfer Detection
期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2020, 卷号: 29, 页码: 986-1000
作者:
Chen, Hao
;
Wang, Yali
;
Wang, Guoyou
;
Bai, Xiang
;
Qiao, Yu
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2020/03/30
Detectors
Object detection
Proposals
Task analysis
Benchmark testing
Deep learning
Labeling
Object detection
deep learning
transfer learning
weakly
semi-supervised detection
low-shot learning
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