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A multi-scale, multi-region and attention mechanism-based deep learning framework for prediction of grading in hepatocellular carcinoma 期刊论文
MEDICAL PHYSICS, 2022, 页码: 13
作者:  Wei, Jingwei;  Ji, Qian;  Gao, Yu;  Yang, Xiaozhen;  Guo, Donghui;  Gu, Dongsheng;  Yuan, Chunwang;  Tian, Jie;  Ding, Dawei
收藏  |  浏览/下载：328/0  |  提交时间：2023/03/20
computed tomography  deep learning  hepatocellular carcinoma  histopathological grading  radiomics  
3DCANN: A Spatio-Temporal Convolution Attention Neural Network for EEG Emotion Recognition 期刊论文
IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2022, 卷号: 26, 期号: 11, 页码: 5321-5331
作者:  Liu, Shuaiqi;  Wang, Xu;  Zhao, Ling;  Li, Bing;  Hu, Weiming;  Yu, Jie;  Zhang, Yu-Dong
收藏  |  浏览/下载：260/0  |  提交时间：2023/03/20
Electroencephalography  Feature extraction  Emotion recognition  Convolution  Brain modeling  Deep learning  Neural networks  3D convolution attention neural network  dual attention learning  EEG emotion recognition  spatio-temporal feature  
A 2-D Long Short-Term Memory Fusion Networks for Bearing Remaining Useful Life Prediction 期刊论文
IEEE SENSORS JOURNAL, 2022, 卷号: 22, 期号: 22, 页码: 21806-21815
作者:  Li, Yuan;  Wang, Huanjie;  Li, Jingwei;  Tan, Jie
收藏  |  浏览/下载：401/0  |  提交时间：2023/03/20
Hidden Markov models  Feature extraction  Predictive models  Sensors  Mathematical models  Data models  Adaptation models  2-D long short-term memory (2D-LSTM)  fault occurrence time (FOT) detection  information fusion unit (IFU)  remaining useful life (RUL) prediction  
SSAU-Net: A Spectral-Spatial Attention-Based U-Net for Hyperspectral Image Fusion 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 卷号: 60, 页码: 16
作者:  Liu, Shuaiqi;  Liu, Siyuan;  Zhang, Shichong;  Li, Bing;  Hu, Weiming;  Zhang, Yu-Dong
收藏  |  浏览/下载：225/0  |  提交时间：2023/03/20
Feature extraction  Matrix decomposition  Image fusion  Hyperspectral imaging  Spatial resolution  Tensors  Image reconstruction  Deep learning  hyperspectral image (HSI)  image fusion  multispectral image (MSI)  spectral-spatial attention  
D-TNet: Category-Awareness Based Difference-Threshold Alternative Learning Network for Remote Sensing Image Change Detection 期刊论文
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2022, 卷号: 60, 页码: 1-16
作者:  Wan, Ling;  Tian, Ye;  Kang, Wenchao;  Ma, Lei
Adobe PDF(8963Kb)  |  收藏  |  浏览/下载：118/32  |  提交时间：2023/03/20
Category-awareness  change detection  optical remote sensing image  threshold learning  
Feature-Contrastive Graph Federated Learning: Responsible AI in Graph Information Analysis 期刊论文
IEEE TRANSACTIONS ON COMPUTATIONAL SOCIAL SYSTEMS, 2022, 页码: 11
作者:  Zeng, Xingjie;  Zhou, Tao;  Bao, Zhicheng;  Zhao, Hongwei;  Chen, Leiming;  Wang, Xiao;  Wang, Feiyue
收藏  |  浏览/下载：216/0  |  提交时间：2023/02/22
Federated learning  Data models  Artificial intelligence  Graph neural networks  Training  Learning systems  Servers  graph neural networks  responsible artificial intelligence (AI)  weight divergence  weight similarity evaluation  
AutoMSNet: Multi-Source Spatio-Temporal Network via Automatic Neural Architecture Search for Traffic Flow Prediction 期刊论文
IEEE TRANSACTIONS ON INTELLIGENT TRANSPORTATION SYSTEMS, 2022, 页码: 15
作者:  Fang, Shen;  Zhang, Chunxia;  Xiang, Shiming;  Pan, Chunhong
收藏  |  浏览/下载：156/0  |  提交时间：2023/02/22
Deep learning  neural architecture search  graph convolution  meta-learning  traffic flow prediction  
Subgraph-aware graph structure revision for spatial-temporal graph modeling 期刊论文
NEURAL NETWORKS, 2022, 卷号: 154, 页码: 190-202
作者:  Wang, Yuhu;  Zhang, Chunxia;  Xiang, Shiming;  Pan, Chunhong
Adobe PDF(1781Kb)  |  收藏  |  浏览/下载：175/2  |  提交时间：2023/01/09
Graph structure learning  Graph neural network  Spatial-temporal graph modeling  
Multi-View Multi-Label Fine-Grained Emotion Decoding From Human Brain Activity 期刊论文
IEEE Transactions on Neural Networks and Learning Systems, 2022, 页码: 1-15
作者:  Fu, Kaicheng;  Du, Changde;  Wang, Shengpei;  He, Huiguang
Adobe PDF(4570Kb)  |  收藏  |  浏览/下载：300/71  |  提交时间：2022/12/27
Fine-grained Emotion Decoding  Multi-view Learning  Multi-label Learning  Variational Autoencoder  Product of Experts  
A Hierarchical LiDAR Odometry via Maximum Likelihood Estimation With Tightly Associated Distributions 期刊论文
IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, 2022, 卷号: 71, 期号: 10, 页码: 10254-10268
作者:  Wang, Chengpeng;  Cao, Zhiqiang;  Li, Jianjie;  Liang, Shuang;  Tan, Min;  Yu, Junzhi
Adobe PDF(4536Kb)  |  收藏  |  浏览/下载：202/6  |  提交时间：2022/12/27
3D LiDAR odometry  fixed-lag smoothing  hierarchical optimization  maximum likelihood estimation