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A novel transformer autoencoder for multi-modal emotion recognition with incomplete data 期刊论文
NEURAL NETWORKS, 2024, 卷号: 172, 页码: 12
作者:  Cheng, Cheng;  Liu, Wenzhe;  Fan, Zhaoxin;  Feng, Lin;  Jia, Ziyu
收藏  |  浏览/下载：58/0  |  提交时间：2024/03/27
Multi-modal signals  Emotion recognition  Incomplete data  Transformer autoencoder  Convolutional encoder  
It takes two: Dual Branch Augmentation Module for domain generalization 期刊论文
NEURAL NETWORKS, 2024, 卷号: 172, 页码: 12
作者:  Li, Jingwei;  Li, Yuan;  Tan, Jie;  Liu, Chengbao
Adobe PDF(1630Kb)  |  收藏  |  浏览/下载：72/4  |  提交时间：2024/03/27
Domain generalization  Fourier transform  Uncertainty calibration  Test-time adaptation  
Bridging the gap with grad: Integrating active learning into semi-supervised domain generalization 期刊论文
NEURAL NETWORKS, 2024, 卷号: 171, 页码: 186-199
作者:  Li, Jingwei;  Li, Yuan;  Tan, Jie;  Liu, Chengbao
Adobe PDF(2408Kb)  |  收藏  |  浏览/下载：59/5  |  提交时间：2024/03/26
Domain generalization  Semi-supervised learning  Active learning  
Adaptive bias-variance trade-off in advantage estimator for actor-critic algorithms 期刊论文
NEURAL NETWORKS, 2024, 卷号: 169, 页码: 764-777
作者:  Chen, Yurou;  Zhang, Fengyi;  Liu, Zhiyong
收藏  |  浏览/下载：44/0  |  提交时间：2024/02/22
Reinforcement Learning  Policy gradient  Actor-critic  Value function  Bias-variance trade-off  
Powerful-IoU: More straightforward and faster bounding box regression loss with a nonmonotonic focusing mechanism 期刊论文
NEURAL NETWORKS, 2024, 卷号: 170, 页码: 276-284
作者:  Liu, Can;  Wang, Kaige;  Li, Qing;  Zhao, Fazhan;  Zhao, Kun;  Ma, Hongtu
收藏  |  浏览/下载：78/0  |  提交时间：2024/02/22
Object detection  Bounding box regression  Loss function design  Focusing mechanism  
Adaptive-weighted deep multi-view clustering with uniform scale representation 期刊论文
NEURAL NETWORKS, 2024, 卷号: 171, 页码: 114-126
作者:  Chen, Rui;  Tang, Yongqiang;  Zhang, Wensheng;  Feng, Wenlong
收藏  |  浏览/下载：71/0  |  提交时间：2024/02/21
Multi-view clustering  Deep clustering  Adaptive-weighted learning  Uniform scale representation  
Synergetic learning for unknown nonlinear H. control using neural networks 期刊论文
NEURAL NETWORKS, 2023, 卷号: 168, 页码: 287-299
作者:  Zhu, Liao;  Guo, Ping;  Wei, Qinglai
收藏  |  浏览/下载：92/0  |  提交时间：2023/12/21
H. control  Nonlinear systems  Adaptive dynamic programming  Temporal difference  Neural network  Data-driven  
Graph convolutional network with tree-guided anisotropic message passing 期刊论文
NEURAL NETWORKS, 2023, 卷号: 165, 页码: 909-924
作者:  Wang, Ruixiang;  Wang, Yuhu;  Zhang, Chunxia;  Xiang, Shiming;  Pan, Chunhong
收藏  |  浏览/下载：42/0  |  提交时间：2023/11/17
Deep learning  Graph convolutional networks  Graph structure learning  Anisotropic message passing  
A multi-view co-training network for semi-supervised medical image-based prognostic prediction 期刊论文
NEURAL NETWORKS, 2023, 卷号: 164, 页码: 455-463
作者:  Li, Hailin;  Wang, Siwen;  Liu, Bo;  Fang, Mengjie;  Cao, Runnan;  He, Bingxi;  Liu, Shengyuan;  Hu, Chaoen;  Dong, Di;  Wang, Ximing;  Wang, Hexiang;  Tian, Jie
收藏  |  浏览/下载：158/0  |  提交时间：2023/11/17
Deep neural network  Medical image analysis  Prognostic prediction  Semi-supervised learning  
MixGradient: A gradient-based re-weighting scheme with mixup for imbalanced data streams 期刊论文
NEURAL NETWORKS, 2023, 卷号: 161, 页码: 525-534
作者:  Peng, Xinyu;  Wang, Fei-Yue;  Li, Li
收藏  |  浏览/下载：65/0  |  提交时间：2023/11/17
Deep learning  Imbalanced data streams  Sample gradient  Typical samples  Mixup