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Common and unique multimodal covarying patterns in autism spectrum disorder subtypes 期刊论文
MOLECULAR AUTISM, 2020, 卷号: 11, 期号: 1, 页码: 15
作者:  Qi, Shile;  Morris, Robin;  Turner, Jessica A.;  Fu, Zening;  Jiang, Rongtao;  Deramus, Thomas P.;  Zhi, Dongmei;  Calhoun, Vince D.;  Sui, Jing
Adobe PDF(6135Kb)  |  收藏  |  浏览/下载：311/14  |  提交时间：2021/01/06
Heterogeneity  Autism spectrum disorder  Asperger’  s disorder  Pervasive developmental disorder-not otherwise specified (PDD-NOS)  Autistic disorder  Multimodal fusion  
Parallel Transportation Systems: Toward IoT-Enabled Smart Urban Traffic Control and Management 期刊论文
IEEE Transactions on Intelligent Transportation Systems, 2020, 卷号: 21, 期号: 10, 页码: 4063 - 4071
作者:  Fenghua Zhu;  Yisheng Lv;  Yuanyuan Chen;  Xiao Wang;  Gang Xiong;  Fei-Yue Wang
浏览  |  Adobe PDF(2879Kb)  |  收藏  |  浏览/下载：484/236  |  提交时间：2020/10/15
Intelligent transportation systems  
Spatial-Temporal Dependency Modeling and Network Hub Detection for Functional MRI Analysis via Convolutional-Recurrent Network 期刊论文
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2020, 卷号: 67, 期号: 8, 页码: 2241-2252
作者:  Wang, Mingliang;  Lian, Chunfeng;  Yao, Dongren;  Zhang, Daoqiang;  Liu, Mingxia;  Shen, Dinggang
Adobe PDF(5624Kb)  |  收藏  |  浏览/下载：333/68  |  提交时间：2020/08/24
Spatial-temporal dependency  neural network  Alzheimer's disease  hub detection  resting-state functional MRI  
Transition and Dynamic Reconfiguration of Whole-Brain Network in Major Depressive Disorder 期刊论文
MOLECULAR NEUROBIOLOGY, 2020, 期号: 57, 页码: 4031-4044
作者:  Wang, Shengpei;  Wen, Hongwei;  Hu, Xiaopeng;  Xie, Peng;  Qiu, Shuang;  Qian, Yinfeng;  Qiu, Jiang;  He, Huiguang
浏览  |  Adobe PDF(6324Kb)  |  收藏  |  浏览/下载：419/85  |  提交时间：2020/08/03
Resting-state fMRI  Major depressive disorder (MDD)  Hidden Markov model (HMM)  Brain network dynamic  Transition probability  
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;  Han, Yuqi;  Song, Bin;  Tian, Jie
Adobe PDF(872Kb)  |  收藏  |  浏览/下载：512/140  |  提交时间：2020/08/03
data science  liver diseases  machine learning  precision medicine  radiologic technology  
Improved Block Sparse Bayesian Learning Method Using K-Nearest Neighbor Strategy for Accurate Tumor Morphology Reconstruction in Bioluminescence Tomography 期刊论文
IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING, 2020, 卷号: 67, 期号: 7, 页码: 2023-2032
作者:  Yin, Lin;  Wang, Kun;  Tong, Tong;  An, Yu;  Meng, Hui;  Yang, Xin;  Tian, Jie
浏览  |  Adobe PDF(646Kb)  |  收藏  |  浏览/下载：366/68  |  提交时间：2020/08/03
Image reconstruction  Bayes methods  Tumors  Inverse problems  Light sources  Tomography  Morphology  Bioluminescence tomography (BLT)  block sparse Bayesian learning  morphology recovery  
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
Adobe PDF(2274Kb)  |  收藏  |  浏览/下载：329/8  |  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)  
Efficient Coordinated Control Strategy to Handle Randomized Inclination in Precision Assembly 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2020, 卷号: 16, 期号: 9, 页码: 5814-5824
作者:  Xing, Dengpeng;  Liu, Fangfang;  Xu, De
浏览  |  Adobe PDF(2487Kb)  |  收藏  |  浏览/下载：405/91  |  提交时间：2020/08/03
Efficient inclined insertion  force prediction  inclination estimation  precision assembly  
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
Adobe PDF(2274Kb)  |  收藏  |  浏览/下载：243/9  |  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  
A Deep Nonnegative Matrix Factorization Approach via Autoencoder for Nonlinear Fault Detection 期刊论文
IEEE TRANSACTIONS ON INDUSTRIAL INFORMATICS, 2020, 卷号: 16, 期号: 8, 页码: 5042-5052
作者:  Ren, Zelin;  Zhang, Wensheng;  Zhang, Zhizhong
Adobe PDF(2122Kb)  |  收藏  |  浏览/下载：376/63  |  提交时间：2020/07/06
data-driven fault detection  deep autoencoder  nonlinear industrial process  nonnegative matrix factorization (NMF)