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Two Birds With One Stone: Knowledge-Embedded Temporal Convolutional Transformer for Depression Detection and Emotion Recognition
期刊论文
IEEE TRANSACTIONS ON AFFECTIVE COMPUTING, 2023, 卷号: 14, 期号: 4, 页码: 2595-2613
作者:
Zheng, Wenbo
;
Yan, Lan
;
Wang, Fei-Yue
收藏
  |  
浏览/下载:1/0
  |  
提交时间:2024/03/27
Multimodal depression detection
multimodal emotion recognition
transformer
knowledge embedding
joint learning
Dual Attention and Element Recalibration Networks for Automatic Depression Level Prediction
期刊论文
IEEE TRANSACTIONS ON AFFECTIVE COMPUTING, 2023, 卷号: 14, 期号: 3, 页码: 1954-1965
作者:
Niu, Mingyue
;
Zhao, Ziping
;
Tao, Jianhua
;
Li, Ya
;
Schuller, Bjorn
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浏览/下载:65/0
  |  
提交时间:2023/11/15
Depression
Feature extraction
Tensors
Databases
Spatiotemporal phenomena
Convolutional neural networks
Physiology
DAER network
depression level prediction
dual attention block
element recalibration block
facial differences
A time-frequency channel attention and vectorization network for automatic depression level prediction
期刊论文
Neurocomputing, 2021, 期号: 450, 页码: 208-218
作者:
Mingyue Niu
;
Bin Liu
;
Jianhua Tao
;
Qifei Li
Adobe PDF(2001Kb)
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浏览/下载:147/40
  |  
提交时间:2021/06/01
Sphere embedding normalization
DenseNet
Transition layer
Time-frequency channel attention block
Time-frequency vectorization block
Depression detection
Intrinsic connectivity identifies the sensory-motor network as a main cross-network between remitted late-life depression- and amnestic mild cognitive impairment-targeted networks
期刊论文
BRAIN IMAGING AND BEHAVIOR, 2020, 卷号: 14, 期号: 4, 页码: 1130-1142
作者:
Chen, Jiu
;
Shu, Hao
;
Wang, Zan
;
Zhan, Yafeng
;
Liu, Duan
;
Liu, Yong
;
Zhang, Zhijun
收藏
  |  
浏览/下载:153/0
  |  
提交时间:2020/08/24
Remitted late-life depression
Amnestic mild cognitive impairment
Functional connectivity
Sensory-motor network
Anatomical Connectivity-Based Strategy for Targeting Transcranial Magnetic Stimulation as Antidepressant Therapy
期刊论文
FRONTIERS IN PSYCHIATRY, 2020, 卷号: 11, 页码: 8
作者:
Tao, Qi
;
Yang, Yongfeng
;
Yu, Hongyan
;
Fan, Lingzhong
;
Luan, Shuxin
;
Zhang, Lei
;
Zhao, Hua
;
Lv, Luxian
;
Jiang, Tianzi
;
Song, Xueqin
收藏
  |  
浏览/下载:195/0
  |  
提交时间:2020/06/22
treatment-resistant depression (TRD)
transcranial magnetic stimulation (TMS)
anatomical connectivity
subgenual anterior cingulated cortex (sACC)
prefrontal cortex (PFC)
Multimodal Spatiotemporal Representation for Automatic Depression Level Detection
期刊论文
IEEE Transactions on Affective Computing, 2020, 期号: 0, 页码: 0
作者:
Mingyue Niu
;
Jianhua Tao
;
Bin Liu
;
Jian Huang
;
Zheng Lian
Adobe PDF(2831Kb)
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浏览/下载:149/49
  |  
提交时间:2021/06/01
Multimodal depression detection
Spatio-Temporal Attention
Audio/Video Segment-Level Feature
Eigen Evolution Pooling
Audio/Video Level Feature
Multimodal Attention Feature Fusion
Short-term synaptic plasticity expands the operational range of long-term synaptic changes in neural networks
期刊论文
NEURAL NETWORKS, 2019, 卷号: 118, 页码: 140-147
作者:
Zeng, Guanxiong
;
Huang, Xuhui
;
Jiang, Tianzi
;
Yu, Shan
收藏
  |  
浏览/下载:276/0
  |  
提交时间:2019/12/16
Reservoir computing
Sequence learning and retrieval
Short-term depression
Synaptic heterogeneity
Self-organized criticality
Optimal information processing
fMRI classification method with multiple feature fusion based on minimum spanning tree analysis
期刊论文
PSYCHIATRY RESEARCH-NEUROIMAGING, 2018, 卷号: 277, 页码: 14-27
作者:
Guo, Hao
;
Yan, Pengpeng
;
Cheng, Chen
;
Li, Yao
;
Chen, Junjie
;
Xu, Yong
;
Xiang, Jie
收藏
  |  
浏览/下载:235/0
  |  
提交时间:2019/12/16
Functional brain network
Minimum spanning tree
Classifier
Depression
Multiple feature fusion
Resting-State Brain Functional Hyper-Network Construction Based on Elastic Net and Group Lasso Methods
期刊论文
FRONTIERS IN NEUROINFORMATICS, 2018, 卷号: 12, 页码: 18
作者:
Guo, Hao
;
Li, Yao
;
Xu, Yong
;
Jin, Yanyi
;
Xiang, Jie
;
Chen, Junjie
收藏
  |  
浏览/下载:160/0
  |  
提交时间:2019/12/16
depression
hyper-network
elasticnet
grouplasso
classification
Predicting ECT Response with Baseline Neuroimaging Data
期刊论文
Biological Psychiatry, 2017, 卷号: 81, 期号: 10, 页码: S128
作者:
Christopher Abbott
;
Sui Jing(隋婧)
收藏
  |  
浏览/下载:101/0
  |  
提交时间:2018/01/11
Depression
Structural Mri
Electroconvulsive Therapy
Prediction Of Treatment Outcome
Machine Learning