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期刊论文 [94]
会议论文 [4]
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2021 [98]
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A Learning-Embedded Attributed Petri Net to Optimize Student Learning in a Serious Game
期刊论文
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2021, 页码: 9
作者:
Liang, Jing
;
Tang, Ying
;
Hare, Ryan
;
Wu, Ben
;
Wang, Fei-Yue
收藏
  |  
浏览/下载:32/0
  |  
提交时间:2022/01/27
Games
Task analysis
Problem-solving
Petri nets
Random forests
Training
Radio frequency
Learning optimization
Petri nets (PNs)
serious game (SG)
Mix Contrast for COVID-19 Mild-to-Critical Prediction
期刊论文
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2021, 卷号: 68, 期号: 12, 页码: 3725-3736
作者:
Zhu, Yongbei
;
Wang, Shuo
;
Wang, Siwen
;
Wu, Qingxia
;
Wang, Liusu
收藏
  |  
浏览/下载:36/0
  |  
提交时间:2021/12/28
COVID-19
Computed tomography
Measurement
Hospitals
Loss measurement
Training
Task analysis
Coronavirus disease 2019 (COVID-19)
contrastive learning
computed tomography
mixup
prognosis
Attributes Guided Feature Learning for Vehicle Re-Identification
期刊论文
IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE, 2021, 页码: 11
作者:
Li, Hongchao
;
Lin, Xianmin
;
Zheng, Aihua
;
Li, Chenglong
;
Luo, Bin
收藏
  |  
浏览/下载:32/0
  |  
提交时间:2022/01/27
Feature extraction
Cameras
Color
Image color analysis
Task analysis
Training
Semantics
Attributes
deep features
vehicle re-identification
Exercise for Neuropathic Pain: A Systematic Review and Expert Consensus
期刊论文
FRONTIERS IN MEDICINE, 2021, 卷号: 8, 页码: 16
作者:
Zhang, Yong-Hui
;
Hu, Hao-Yu
;
Xiong, Yuan-Chang
;
Peng, Changgeng
;
Hu, Li
收藏
  |  
浏览/下载:65/0
  |  
提交时间:2022/02/11
exercise
training
neuropathic pain
chronic pain
expert consensus
Method to Improve the Detection Accuracy of Quadrant Detector Based on Neural Network
期刊论文
IEEE PHOTONICS TECHNOLOGY LETTERS, 2021, 卷号: 33, 期号: 22, 页码: 1254-1257
作者:
Wang, Xuan
;
Su, Xiuqin
;
Liu, Guizhong
;
Han, Junfeng
;
Zhu, Wenhua
收藏
  |  
浏览/下载:74/0
  |  
提交时间:2021/10/21
Detectors
Laser beams
Neural networks
Surface treatment
Position measurement
Optical fiber amplifiers
Training
Free space optical communication (FSOC)
quadrant detector (QD)
neural network
Task-Feature Collaborative Learning with Application to Personalized Attribute Prediction
期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2021, 卷号: 43, 期号: 11, 页码: 4094-4110
作者:
Yang, Zhiyong
;
Xu, Qianqian
;
Cao, Xiaochun
;
Huang, Qingming
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2021/12/01
Task analysis
Convergence
Predictive models
Diseases
Collaborative work
Optimization
Training
Block diagonal structural learning
negative transfer
multi-task learning
global convergence
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:39/0
  |  
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
Adversarial Analysis for Source Camera Identification
期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2021, 卷号: 31, 期号: 11, 页码: 4174-4186
作者:
Wang, Bo
;
Zhao, Mengnan
;
Wang, Wei
;
Dai, Xiaorui
;
Li, Yi
收藏
  |  
浏览/下载:34/0
  |  
提交时间:2021/12/28
Cameras
Feature extraction
Forensics
Task analysis
Perturbation methods
Neural networks
Training
Adversarial attacks
fingerprint copy-move attack
joint feature-based auto-learning attack
relation mismatch
Swimming start model and determination of the optimal breakout position
期刊论文
SPORTS BIOMECHANICS, 2021, 页码: 21
作者:
Xie Xiaoyue
;
Wei Linqiu
;
Shi Jian
;
Cheng Yan
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2022/04/02
Start model
breakout point
trajectory
training
improvement
Antidecay LSTM for Siamese Tracking With Adversarial Learning
期刊论文
IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2021, 卷号: 32, 期号: 10, 页码: 4475-4489
作者:
Zhao, Fei
;
Zhang, Ting
;
Wu, Yi
;
Tang, Ming
;
Wang, Jinqiao
收藏
  |  
浏览/下载:10/0
  |  
提交时间:2021/12/28
Target tracking
Feature extraction
Computer architecture
Visualization
Training
Task analysis
Adversarial learning
deep learning
long short-term memory (LSTM)
visual tracking
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