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ORCIDNeural Networks, Volume 119
Volume 119, November 2019
- Yangsong Zhang, Erwei Yin, Fali Li, Yu Zhang, Daqing Guo, Dezhong Yao, Peng Xu:
Hierarchical feature fusion framework for frequency recognition in SSVEP-based BCIs. 1-9
- Garrett E. Katz, Gregory P. Davis, Rodolphe J. Gentili, James A. Reggia:
A programmable neural virtual machine based on a fast store-erase learning rule. 10-30 - Wei Li
, Wei Ding, Rajani S. Sadasivam, Xiaohui Cui, Ping Chen:
His-GAN: A histogram-based GAN model to improve data generation quality. 31-45
- Wenwen Jia, Sitian Qin, Xiaoping Xue:
A generalized neural network for distributed nonsmooth optimization with inequality constraint. 46-56
- Zhifeng Hao, Biao Wu, Wen Wen, Ruichu Cai:
A subgraph-representation-based method for answering complex questions over knowledge bases. 57-65
- Diogo Santos Pata, Riccardo Zucca, Héctor López-Carral, Paul F. M. J. Verschure:
Modulating grid cell scale and intrinsic frequencies via slow high-threshold conductances: A simplified model. 66-73
- Zuowei Shen, Haizhao Yang, Shijun Zhang:
Nonlinear approximation via compositions. 74-84 - Yang Liu, Xinbo Gao, Quanxue Gao, Ling Shao, Jungong Han:
Adaptive robust principal component analysis. 85-92
- Zhengming Li, Zheng Zhang, Jie Qin, Sheng Li, Hongmin Cai:
Low-rank analysis-synthesis dictionary learning with adaptively ordinal locality. 93-112
- Mateja Maric, Drazen Domijan:
Neural dynamics of spreading attentional labels in mental contour tracing. 113-138
- Saerom Park, Jaewook Lee, Kyoungok Kim:
Semi-supervised distributed representations of documents for sentiment analysis. 139-150 - Xiurui Xie, Guisong Liu, Qing Cai, Pengfei Wei, Hong Qu:
Multi-source sequential knowledge regression by using transfer RNN units. 151-161 - Maryam Gholami Doborjeh, Nikola K. Kasabov, Zohreh Gholami Doborjeh, Reza Enayatollahi, Enmei Tu, Amir H. Gandomi:
Personalised modelling with spiking neural networks integrating temporal and static information. 162-177
- Yuting Cao, Shengbo Wang, Zhenyuan Guo, Tingwen Huang, Shiping Wen:
Synchronization of memristive neural networks with leakage delay and parameters mismatch via event-triggered control. 178-189 - Haibo Bao, Ju H. Park, Jinde Cao:
Non-fragile state estimation for fractional-order delayed memristive BAM neural networks. 190-199 - Dominik Dold, Ilja Bytschok, Ákos F. Kungl, Andreas Baumbach, Oliver Breitwieser, Walter Senn, Johannes Schemmel, Karlheinz Meier, Mihai A. Petrovici:
Stochasticity from function - Why the Bayesian brain may need no noise. 200-213
- Yongchun Zhu, Fuzhen Zhuang, Jindong Wang, Jingwu Chen, Zhiping Shi, Wenjuan Wu, Qing He:
Multi-representation adaptation network for cross-domain image classification. 214-221 - Weiying Xie, Jie Lei, Baozhu Liu, Yunsong Li, Xiuping Jia:
Spectral constraint adversarial autoencoders approach to feature representation in hyperspectral anomaly detection. 222-234 - Sanyam Shukla, Bhagat Singh Raghuwanshi:
Online sequential class-specific extreme learning machine for binary imbalanced learning. 235-248
- Zengyun Wang, Jinde Cao, Zuowei Cai, Lihong Huang:
Periodicity and finite-time periodic synchronization of discontinuous complex-valued neural networks. 249-260 - Jin Xie, Sanyang Liu, Hao Dai:
Distributed semi-supervised learning algorithm based on extreme learning machine over networks using event-triggered communication scheme. 261-272 - John Mwangi Wandeto, Birgitta Dresp-Langley:
The quantization error in a Self-Organizing Map as a contrast and colour specific indicator of single-pixel change in large random patterns. 273-285
- Rongrong Ma, Jianyu Miao, Lingfeng Niu, Peng Zhang:
Transformed ℓ1 regularization for learning sparse deep neural networks. 286-298 - Hoon-Keng Poon, Wun-She Yap, Yee-Kai Tee, Wai-Kong Lee, Bok-Min Goi:
Hierarchical gated recurrent neural network with adversarial and virtual adversarial training on text classification. 299-312 - Wan-Yu Deng, Ying-Ying Dong, Guang-Da Liu, Ying Wang, Jie Men:
Multiclass heterogeneous domain adaptation via bidirectional ECOC projection. 313-322 - Kunihiko Fukushima:
Efficient IntVec: High recognition rate with reduced computational cost. 323-331 - Daniel J. Saunders, Devdhar Patel, Hananel Hazan, Hava T. Siegelmann, Robert Kozma:
Locally connected spiking neural networks for unsupervised feature learning. 332-340 - Nikola K. Kasabov:
Spiking neural networks for deep learning and knowledge representation: Editorial. 341-342
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