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DA-CapsNet: A multi-branch capsule network based on adversarial domain adaption for cross-subject EEG emotion recognition
期刊论文
KNOWLEDGE-BASED SYSTEMS, 2024, 卷号: 283, 页码: 12
作者:
Liu, Shuaiqi
;
Wang, Zeyao
;
An, Yanling
;
Li, Bing
;
Wang, Xinrui
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2024/02/22
EEG emotion recognition
Capsule network
Adversarial domain adaptation
Transfer learning
CLIP-VG: Self-Paced Curriculum Adapting of CLIP for Visual Grounding
期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2024, 卷号: 26, 页码: 4334-4347
作者:
Xiao, Linhui
;
Yang, Xiaoshan
;
Peng, Fang
;
Yan, Ming
;
Wang, Yaowei
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2024/05/30
Grounding
Reliability
Adaptation models
Task analysis
Visualization
Data models
Annotations
Visual grounding
curriculum learning
pseudo-language label
and vision-language models
Label Recovery and Trajectory Designable Network for Transfer Fault Diagnosis of Machines With Incorrect Annotation
期刊论文
IEEE/CAA Journal of Automatica Sinica, 2024, 卷号: 11, 期号: 4, 页码: 932-945
作者:
Bin Yang
;
Yaguo Lei
;
Xiang Li
;
Naipeng Li
;
Asoke K. Nandi
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2024/03/18
Deep transfer learning
domain adaptation
incorrect label annotation
intelligent fault diagnosis
rotating machines
CFSL: A Credible Federated Self-Learning Framework
期刊论文
IEEE INTERNET OF THINGS JOURNAL, 2023, 卷号: 10, 期号: 24, 页码: 21349-21362
作者:
Zhang, Weishan
;
Bao, Zhicheng
;
Liu, Yuru
;
Xu, Liang
;
Lu, Qinghua
收藏
  |  
浏览/下载:4/0
  |  
提交时间:2024/03/26
Federated learning
Data models
Training
Internet of Things
Blockchains
Adaptation models
Smart contracts
Blockchain
consensus
federated learning
personalization
self-learning
MLDA: Multi-Loss Domain Adaptor for Cross-Session and Cross-Emotion EEG-Based Individual Identification
期刊论文
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2023, 卷号: 27, 期号: 12, 页码: 5767-5778
作者:
Miao, Yifan
;
Jiang, Wanqing
;
Su, Nuo
;
Shan, Jun
;
Jiang, Tianzi
收藏
  |  
浏览/下载:2/0
  |  
提交时间:2024/03/26
Electroencephalography
Feature extraction
Task analysis
Support vector machines
Recording
Motion pictures
Brain modeling
EEG
biometric
across mental states
across time
deep learning
domain adaptation
Data Generation Feedback Relearning Control for Unmodeled Nonlinear Systems
期刊论文
IEEE TRANSACTIONS ON EMERGING TOPICS IN COMPUTATIONAL INTELLIGENCE, 2023, 页码: 12
作者:
Zhang, Yong
;
Mu, Chaoxu
;
Zhao, Dongbin
收藏
  |  
浏览/下载:14/0
  |  
提交时间:2023/11/16
Data models
Real-time systems
Heuristic algorithms
Mathematical models
Adaptation models
Approximation algorithms
Cost function
Data generation model
feedback relearning control
delayed neural network
reinforcement learning
unmodeled nonlinear system
PiCor: Multi-Task Deep Reinforcement Learning with Policy Correction
会议论文
美国 华盛顿, 2023.02.07 - 2023.02.14
作者:
Bai FS(白丰硕)
;
Zhang HM(张鸿铭)
;
Tao TY(陶天阳)
;
Wu ZH(武志亨)
;
Wang YN(王燕娜)
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2023/07/05
Reinforcement Learning Algorithms
Transfer
Domain Adaptation
Multi-Task Learning
Open set domain adaptation with latent structure discovery and kernelized classifier learning
期刊论文
NEUROCOMPUTING, 2023, 卷号: 531, 页码: 125-139
作者:
Tang, Yongqiang
;
Tian, Lei
;
Zhang, Wensheng
收藏
  |  
浏览/下载:6/0
  |  
提交时间:2023/11/17
Open set domain adaptation
Adaptive graph learning
Latent structure discovery
Kernelized classifier learning
CNN-Based Broad Learning for Cross-Domain Emotion Classification
期刊论文
TSINGHUA SCIENCE AND TECHNOLOGY, 2023, 卷号: 28, 期号: 2, 页码: 360-369
作者:
Zeng, Rong
;
Liu, Hongzhan
;
Peng, Sancheng
;
Cao, Lihong
;
Yang, Aimin
收藏
  |  
浏览/下载:29/0
  |  
提交时间:2022/11/14
Measurement
Deep learning
Adaptation models
Feature extraction
Convolutional neural networks
Data mining
Task analysis
cross-domain emotion classification
CNN
broad learning
classifier
co-training
Self-Supervised Monocular Depth Estimation With Geometric Prior and Pixel-Level Sensitivity
期刊论文
IEEE TRANSACTIONS ON INTELLIGENT VEHICLES, 2023, 卷号: 8, 期号: 3, 页码: 2244-2256
作者:
Liu, Jierui
;
Cao, Zhiqiang
;
Liu, Xilong
;
Wang, Shuo
;
Yu, Junzhi
收藏
  |  
浏览/下载:3/0
  |  
提交时间:2023/11/17
Estimation
Costs
Training
Sensitivity
Cameras
Optical flow
Semantics
Monocular depth estimation
self-supervised learning
prior feature consistency
sensitivity adaptation
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