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Neural Networks, Volume 141
Volume 141, September 2021
- Hao Zhang, DeLiang Wang:
Deep ANC: A deep learning approach to active noise control. 1-10 - Yingqiu Zhu, Danyang Huang, Yuan Gao, Rui Wu, Yu Chen, Bo Zhang, Hansheng Wang:
Automatic, dynamic, and nearly optimal learning rate specification via local quadratic approximation. 11-29 - Joel Zirkle, Leonid L. Rubchinsky:
Noise effect on the temporal patterns of neural synchrony. 30-39
- Hailing Dong, Ming Luo, Mingqing Xiao:
Synchronization for stochastic coupled networks with Lévy noise via event-triggered control. 40-51
- Ziping Zhao, Qifei Li, Zixing Zhang, Nicholas Cummins, Haishuai Wang, Jianhua Tao, Björn W. Schuller:
Combining a parallel 2D CNN with a self-attention Dilated Residual Network for CTC-based discrete speech emotion recognition. 52-60 - Yalan Ye, Ziwei Huang, Tongjie Pan, Jingjing Li, Heng Tao Shen:
Reducing bias to source samples for unsupervised domain adaptation. 61-71 - Lin Li, Zheng Li, Yan Liu, Qingyang Hong:
Deep joint learning for language recognition. 72-86 - Cian Ryan, Brian O'Sullivan, Amr Elrasad, Aisling Cahill, Joe Lemley, Paul Kielty, Christoph Posch, Etienne Perot:
Real-time face & eye tracking and blink detection using event cameras. 87-97
- Jiejie Chen, Boshan Chen, Zhigang Zeng:
Exponential quasi-synchronization of coupled delayed memristive neural networks via intermittent event-triggered control. 98-106
- Zhenyuan Guo, Jingxuan Ci, Jun Wang:
Multi-periodicity of switched neural networks with time delays and periodic external inputs under stochastic disturbances. 107-119
- Priyadarshini Panda, Kaushik Roy:
Implicit adversarial data augmentation and robustness with Noise-based Learning. 120-132 - Daoguang Yang, Hamid Reza Karimi, Kangkang Sun:
Residual wide-kernel deep convolutional auto-encoder for intelligent rotating machinery fault diagnosis with limited samples. 133-144
- Ryan Burt, Nina N. Thigpen, Andreas Keil, José C. Príncipe:
Unsupervised foveal vision neural architecture with top-down attention. 145-159
- Zuowei Shen, Haizhao Yang, Shijun Zhang:
Neural network approximation: Three hidden layers are enough. 160-173 - Baojun Miao, Xuechen Li, Jungang Lou, Jianquan Lu:
Pinning bipartite synchronization for coupled reaction-diffusion neural networks with antagonistic interactions and switching topologies. 174-183
- Frédéric Allaire, Vivien Mallet, Jean-Baptiste Filippi:
Emulation of wildland fire spread simulation using deep learning. 184-198
- Yihong Wang, Xuying Xu, Rubin Wang:
Modeling the grid cell activity on non-horizontal surfaces based on oscillatory interference modulated by gravity. 199-210
- Venkata Srikanth Nallanthighal, Zohreh Mostaani, Aki Härmä, Helmer Strik, Mathew Magimai-Doss:
Deep learning architectures for estimating breathing signal and respiratory parameters from speech recordings. 211-224 - Guanjun Li, Shan Liang, Shuai Nie, Wenju Liu, Zhanlei Yang:
Deep neural network-based generalized sidelobe canceller for dual-channel far-field speech recognition. 225-237
- Hangting Chen, Pengyuan Zhang:
A dual-stream deep attractor network with multi-domain learning for speech dereverberation and separation. 238-248
- Yanping Chen, Weizhe Yang, Kai Wang, Yongbin Qin, Ruizhang Huang, Qinghua Zheng:
A neuralized feature engineering method for entity relation extraction. 249-260
- Shuchen Wu, Xiaodi Li, Yanhui Ding:
Saturated impulsive control for synchronization of coupled delayed neural networks. 261-269 - Rongzhen Zhao, Zhenzhi Wu, Qikun Zhang:
Learnable Heterogeneous Convolution: Learning both topology and strength. 270-280 - Qiang Li, Jinling Liang, Hong Qu:
H∞ estimation for stochastic semi-Markovian switching CVNNs with missing measurements and mode-dependent delays. 281-293
- Gabriel Turinici:
Radon-Sobolev Variational Auto-Encoders. 294-305 - Rui Liu, Berrak Sisman, Yixing Lin, Haizhou Li:
FastTalker: A neural text-to-speech architecture with shallow and group autoregression. 306-314 - Sara Dahmani, Vincent Colotte, Valérian Girard, Slim Ouni:
Learning emotions latent representation with CVAE for text-driven expressive audiovisual speech synthesis. 315-329
- Matthew Farrell, Stefano Recanatesi, R. Clay Reid, Stefan Mihalas, Eric Shea-Brown:
Autoencoder networks extract latent variables and encode these variables in their connectomes. 330-343
- Chengdai Huang, Juan Wang, Xiaoping Chen, Jinde Cao:
Bifurcations in a fractional-order BAM neural network with four different delays. 344-354
- Ziqiang Zheng, Zhibin Yu, Yang Wu, Haiyong Zheng, Bing Zheng, Minho Lee:
Generative Adversarial Network with Multi-branch Discriminator for imbalanced cross-species image-to-image translation. 355-371
- Guangzhi Sun, Chao Zhang, Philip C. Woodland:
Combination of deep speaker embeddings for diarisation. 372-384
- Wenchao Gu, Zongjie Li, Cuiyun Gao, Chaozheng Wang, Hongyu Zhang, Zenglin Xu, Michael R. Lyu:
CRaDLe: Deep code retrieval based on semantic Dependency Learning. 385-394
- Yufeng Wang, Dan Li, Xiang Li, Min Yang:
PC-GAIN: Pseudo-label conditional generative adversarial imputation networks for incomplete data. 395-403
- Alexander Cloninger, Timo Klock:
A deep network construction that adapts to intrinsic dimensionality beyond the domain. 404-419
- Donghyun Lee, Dingheng Wang, Yukuan Yang, Lei Deng, Guangshe Zhao, Guoqi Li:
QTTNet: Quantized tensor train neural networks for 3D object and video recognition. 420-432
- Ali Al-Saegh, Shefa A. Dawwd, Jassim M. Abdul-Jabbar:
CutCat: An augmentation method for EEG classification. 433-443
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