Neural Networks, Volume 157

Volume 157, January 2023

• 
  Taro Toyoizumi, DeLiang Wang:
  Announcement of the Neural Networks Best Paper Award. xl

Mathematical and Computational Analysis

• 
  Xiang Wu, Shutang Liu, Huiyu Wang:
  Pinning synchronization of stochastic neutral memristive neural networks with reaction-diffusion terms. 1-10
• 
  Jingxuan Ci, Zhenyuan Guo, Han Long, Shiping Wen, Tingwen Huang:
  Multiple asymptotical ω-periodicity of fractional-order delayed neural networks under state-dependent switching. 11-25

Engineering and Applications

• 
  Jinren Zhang, Jinde Cao, Wei Huang, Xinli Shi, Xingye Zhou:
  Rutting prediction and analysis of influence factors based on multivariate transfer entropy and graph neural networks. 26-38
• 
  Artemios-Anargyros Semenoglou, Evangelos Spiliotis, Vassilios Assimakopoulos:
  Image-based time series forecasting: A deep convolutional neural network approach. 39-53

Mathematical and Computational Analysis

• 
  Shiyu Dong, Xinzhi Liu, Shouming Zhong, Kaibo Shi, Hong Zhu:
  Practical synchronization of neural networks with delayed impulses and external disturbance via hybrid control. 54-64

Learning Systems

• 
  Jie Liu, Lingyun Song, Guangtao Wang, Xuequn Shang:
  Meta-HGT: Metapath-aware HyperGraph Transformer for heterogeneous information network embedding. 65-76

Mathematical and Computational Analysis

• 
  Ruriko Yoshida, Misaki Takamori, Hideyuki Matsumoto, Keiji Miura:
  Tropical support vector machines: Evaluations and extension to function spaces. 77-89

Learning Systems

• 
  Chenyan Zhang, Shan Xue, Jing Li, Jia Wu, Bo Du, Donghua Liu, Jun Chang:
  Multi-Aspect enhanced Graph Neural Networks for recommendation. 90-102

Neuroscience

• 
  Massimo Silvetti, Stefano Lasaponara, Nabil Daddaoua, Mattias Horan, Jacqueline Gottlieb:
  A Reinforcement Meta-Learning framework of executive function and information demand. 103-113

Learning Systems

• 
  Xianchen Zhou, Kun Hu, Hongxia Wang:
  Robustness meets accuracy in adversarial training for graph autoencoder. 114-124
• 
  Hossein Moosaei, M. A. Ganaie, Milan Hladík, Muhammad Tanveer:
  Inverse free reduced universum twin support vector machine for imbalanced data classification. 125-135

Engineering and Applications

• 
  Yang Lou, Ruizi Wu, Junli Li, Lin Wang, Changbing Tang, Guanrong Chen:
  Classification-based prediction of network connectivity robustness. 136-146

Learning Systems

• 
  Zhiwang Zhang, Jing He, Jie Cao, Shuqing Li:
  Maximum Decentral Projection Margin Classifier for High Dimension and Low Sample Size problems. 147-159

Mathematical and Computational Analysis

• 
  Alexander J. Dyer, Lewis D. Griffin:
  Inferring the location of neurons within an artificial network from their activity. 160-175

Learning Systems

• 
  Cheng Wang, Ting Hu, Siyang Jiang:
  Pairwise learning problems with regularization networks and Nyström subsampling approach. 176-192
• 
  Suizhu Yang, Yanxia Liu, Yuan-tong Jiang, Zhiqiang Liu:
  More refined superbag: Distantly supervised relation extraction with deep clustering. 193-201
• 
  Tianjun Wei, Tommy W. S. Chow, Jianghong Ma, Mingbo Zhao:
  ExpGCN: Review-aware Graph Convolution Network for explainable recommendation. 202-215
• 
  Xin Luo, Wei Chen, Zhengfa Liang, Chen Li, Yusong Tan:
  Adversarial style discrepancy minimization for unsupervised domain adaptation. 216-225

Neuroscience

• 
  Tristan Baumann, Hanspeter A. Mallot:
  Gateway identity and spatial remapping in a combined grid and place cell attractor. 226-239

Learning Systems

• 
  Heshan Wang, Yiping Zhang, Jing Liang, Lili Liu:
  DAFA-BiLSTM: Deep Autoregression Feature Augmented Bidirectional LSTM network for time series prediction. 240-256
• 
  Trivikram Muralidharan, Nir Nissim:
  Improving malicious email detection through novel designated deep-learning architectures utilizing entire email. 257-279

Cognitive Science

• 
  Andrea Alamia, Milad Mozafari, Bhavin Choksi, Rufin VanRullen:
  On the role of feedback in image recognition under noise and adversarial attacks: A predictive coding perspective. 280-287

Engineering and Applications

• 
  Jie Pan, Jingwei Huang, Gengdong Cheng, Yong Zeng:
  Reinforcement learning for automatic quadrilateral mesh generation: A soft actor-critic approach. 288-304
• 
  Bharat Mahaur, K. K. Mishra, Navjot Singh:
  Improved Residual Network based on norm-preservation for visual recognition. 305-322
• 
  Ying Huang, He Huang:
  Stacked attention hourglass network based robust facial landmark detection. 323-335

Learning Systems

• 
  Qiuye Wu, Bo Zhao, Derong Liu, Marios M. Polycarpou:
  Event-triggered adaptive dynamic programming for decentralized tracking control of input constrained unknown nonlinear interconnected systems. 336-349

Mathematical and Computational Analysis

• 
  Jianhui Wang, Yancheng Yan, Zhi Liu, C. L. Philip Chen, Chunliang Zhang, Kairui Chen:
  Finite-time consensus control for multi-agent systems with full-state constraints and actuator failures. 350-363

Learning Systems

• 
  Jianping Gou, Xia Yuan, Ya Xue, Lan Du, Jiali Yu, Shuyin Xia, Zhang Yi:
  Discriminative and Geometry-Preserving Adaptive Graph Embedding for dimensionality reduction. 364-376
• 
  Yadi Wang, Jun Wang:
  Neurodynamics-driven holistic approaches to semi-supervised feature selection. 377-386
• 
  Qi Li, Xiyu Liu, Yiming He, Dengwang Li, Jie Xue:
  Temperature guided network for 3D joint segmentation of the pancreas and tumors. 387-403

Mathematical and Computational Analysis

• 
  Jun Wang, Xin Gan:
  Neurodynamics-driven portfolio optimization with targeted performance criteria. 404-421

Cognitive Science

• 
  Hideyoshi Yanagisawa, Xiaoxiang Wu, Kazutaka Ueda, Takeo Kato:
  Free energy model of emotional valence in dual-process perceptions. 422-436

Engineering and Applications

• 
  Yanping Huang, Hong Peng, Qian Liu, Qian Yang, Jun Wang, David Orellana-Martín, Mario J. Pérez-Jiménez:
  Attention-enabled gated spiking neural P model for aspect-level sentiment classification. 437-443

Learning Systems

• 
  Jiaxing Miao, Feilong Cao, Hailiang Ye, Ming Li, Bing Yang:
  Revisiting graph neural networks from hybrid regularized graph signal reconstruction. 444-459
• 
  Xiaoyang Xiao, Yuqian Zhao, Fan Zhang, Biao Luo, Ling-Li Yu, Baifan Chen, Chunhua Yang:
  BASeg: Boundary aware semantic segmentation for autonomous driving. 460-470

Editorial

• 
  Taro Toyoizumi, DeLiang Wang:
  Another bumper year. 471-472