Neural Networks, Volume 155

Volume 155, November 2022

Learning Systems

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  Peng Tao, Jie Cheng, Luonan Chen:
  Brain-inspired chaotic backpropagation for MLP. 1-13
• 
  De Li, Jinyan Wang, Qiyu Li, Yuhang Hu, Xianxian Li:
  A privacy preservation framework for feedforward-designed convolutional neural networks. 14-27

Engineering and Applications

• 
  Cheng Yu, Wenmin Wang, Honglei Li, Roberto Bugiolacchi:
  Fast 2-step regularization on style optimization for real face morphing. 28-38

Neuroscience

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  Mohammadreza Radmanesh, Ahmad Asgharian Rezaei, Mahdi Jalili, Alireza Hashemi, Morteza Moazami-Goudarzi:
  Online spike sorting via deep contractive autoencoder. 39-49

Learning Systems

• 
  Kangkang Zhao, Ziyan Zhang, Bo Jiang, Jin Tang:
  LGLNN: Label Guided Graph Learning-Neural Network for few-shot learning. 50-57
• 
  Randy Tan, Lei Gao, Naimul Khan, Ling Guan:
  Interpretable Artificial Intelligence through Locality Guided Neural Networks. 58-73
• 
  Zhaohui Wang, Qi Cao, Huawei Shen, Bingbing Xu, Keting Cen, Xueqi Cheng:
  Location-aware convolutional neural networks for graph classification. 74-83
• 
  Mingbo Zhao, Shanchuan Gao, Jianghong Ma, Zhao Zhang:
  Joint clothes image detection and search via anchor free framework. 84-94

Neuroscience

• 
  Ikram Chraibi Kaadoud, Adrien Bennetot, Barbara Mawhin, Vicky Charisi, Natalia Díaz Rodríguez:
  Explaining Aha! moments in artificial agents through IKE-XAI: Implicit Knowledge Extraction for eXplainable AI. 95-118

Learning Systems

• 
  Akira Sakai, Taro Sunagawa, Spandan Madan, Kanata Suzuki, Takashi Katoh, Hiromichi Kobashi, Hanspeter Pfister, Pawan Sinha, Xavier Boix, Tomotake Sasaki:
  Three approaches to facilitate invariant neurons and generalization to out-of-distribution orientations and illuminations. 119-143
• 
  Ruina Bai, Ruizhang Huang, Luyi Zheng, Yanping Chen, Yongbin Qin:
  Structure enhanced deep clustering network via a weighted neighbourhood auto-encoder. 144-154
• 
  Xiaodong Luo, Xiaohai He, Xiang Chen, Linbo Qing, Jin Zhang:
  DualG-GAN, a Dual-channel Generator based Generative Adversarial Network for text-to-face synthesis. 155-167
• 
  Ismail R. Alkhouri, George K. Atia, Alvaro Velasquez:
  A differentiable approach to the maximum independent set problem using dataless neural networks. 168-176

Mathematical and Computational Analysis

• 
  Vagan Y. Terziyan, Diana Malyk, Mariia Golovianko, Vladyslav Branytskyi:
  Hyper-flexible Convolutional Neural Networks based on Generalized Lehmer and Power Means. 177-203
• 
  Hongbing Xia, Bo Zhao, Ping Guo:
  Synergetic learning structure-based neuro-optimal fault tolerant control for unknown nonlinear systems. 204-214
• 
  Chentao Xu, Miao Wang, Guoyi Chi, Qingshan Liu:
  An inertial neural network approach for loco-manipulation trajectory tracking of mobile robot with redundant manipulator. 215-223

Engineering and Applications

• 
  Keisuke Fujimoto, Kojiro Hayashi, Risa Katayama, Sehyung Lee, Zhen Liang, Wako Yoshida, Shin Ishii:
  Deep learning-based image deconstruction method with maintained saliency. 224-241

Learning Systems

• 
  Guangning Xu, Xutao Li, Shanshan Feng, Yunming Ye, Zhihua Tu, Kenghong Lin, Zhichao Huang:
  LS-NTP: Unifying long- and short-range spatial correlations for near-surface temperature prediction. 242-257
• 
  Niels Leadholm, Simon M. Stringer:
  Hierarchical binding in convolutional neural networks: Making adversarial attacks geometrically challenging. 258-286
• 
  Jianwei Li:
  Unsupervised robust discriminative subspace representation based on discriminative approximate isometric embedding. 287-307

Engineering and Applications

• 
  Ping Liu, Iakov Korovin, Sergey Gorbachev, Nadezhda Gorbacheva, Jinde Cao:
  Multi-agent based optimal equilibrium selection with resilience constraints for traffic flow. 308-317

Learning Systems

• 
  Jiabin Liu, Biao Li, Minglong Lei, Yong Shi:
  Self-supervised knowledge distillation for complementary label learning. 318-327

Engineering and Applications

• 
  Kenji Doya, Karl J. Friston, Masashi Sugiyama, Joshua B. Tenenbaum:
  Neural Networks special issue on Artificial Intelligence and Brain Science. 328-329

Learning Systems

• 
  Ozlem Faydasicok, Sabri Arik:
  A novel Lyapunov stability analysis of neutral-type Cohen-Grossberg neural networks with multiple delays. 330-339
• 
  Yu Zhao, Leilei Wang, Cui Wang, Huaming Du, Shaopeng Wei, Huali Feng, Zongjian Yu, Qing Li:
  Multi-granularity heterogeneous graph attention networks for extractive document summarization. 340-347
• 
  Tianyu Jiang, Quanxue Gao:
  Fast multiple graphs learning for multi-view clustering. 348-359
• 
  Xinglin Pan, Jing Xu, Yu Pan, Liangjian Wen, Wenxiang Lin, Kun Bai, Hongguang Fu, Zenglin Xu:
  AFINet: Attentive Feature Integration Networks for image classification. 360-368
• 
  Yuning Qiu, Guoxu Zhou, Junhua Zeng, Qibin Zhao, Shengli Xie:
  Imbalanced low-rank tensor completion via latent matrix factorization. 369-382
• 
  Jing Zhang, Qun Dai:
  Latent adversarial regularized autoencoder for high-dimensional probabilistic time series prediction. 383-397

Engineering and Applications

• 
  Deepak Nagar, Kiran Pannerselvam, Palaniappan Ramu:
  A novel data-driven visualization of n-dimensional feasible region using interpretable self-organizing maps (iSOM). 398-412

Mathematical and Computational Analysis

• 
  Yuchun Wang, Song Zhu, Hu Shao, Yu Feng, Li Wang, Shiping Wen:
  Comprehensive analysis of fixed-time stability and energy cost for delay neural networks. 413-421

Neuroscience

• 
  Niceto R. Luque, Francisco Naveros, Ignacio Abadia, Eduardo Ros, Angelo Arleo:
  Electrical coupling regulated by GABAergic nucleo-olivary afferent fibres facilitates cerebellar sensory-motor adaptation. 422-438

Learning Systems

• 
  Kyungseo Min, Gun-Hee Lee, Seong-Whan Lee:
  Attentional feature pyramid network for small object detection. 439-450
• 
  Sai Aparna Aketi, Sangamesh Kodge, Kaushik Roy:
  Low precision decentralized distributed training over IID and non-IID data. 451-460
• 
  Muhammet Fatih Aslan, Akif Durdu, Abdullah Yusefi, Alper Yilmaz:
  HVIOnet: A deep learning based hybrid visual-inertial odometry approach for unmanned aerial system position estimation. 461-474
• 
  Fangyuan Lei, Qin Li:
  Sequential multi-view subspace clustering. 475-486
• 
  Chandan Gautam, Sethupathy Parameswaran, Ashish Mishra, Suresh Sundaram:
  Tf-GCZSL: Task-free generalized continual zero-shot learning. 487-497
• 
  Jing Dong, Liu Yang, Chang Liu, Wei Cheng, Wenwu Wang:
  Support vector machine embedding discriminative dictionary pair learning for pattern classification. 498-511
• 
  Dmitry Antonov, Kirill Sviatov, Sergey V. Sukhov:
  Continuous learning of spiking networks trained with local rules. 512-522
• 
  Hongmei Wang, Kun Jiang, Yitian Xu:
  Sequential safe feature elimination rule for L1-regularized regression with Kullback-Leibler divergence. 523-535

Mathematical and Computational Analysis

• 
  Ahmed Abdeljawad, Philipp Grohs:
  Integral representations of shallow neural network with rectified power unit activation function. 536-550

Learning Systems

• 
  Jian-Ping Mei, Yilun Zhen, Qianwei Zhou, Rui Yan:
  TaskDrop: A competitive baseline for continual learning of sentiment classification. 551-560
• 
  Manos Kirtas, Athina Oikonomou, Nikolaos Passalis, George Mourgias-Alexandris, Miltiadis Moralis-Pegios, Nikos Pleros, Anastasios Tefas:
  Quantization-aware training for low precision photonic neural networks. 561-573

Mathematical and Computational Analysis

• 
  Csongor Várady, Riccardo Volpi, Luigi Malagò, Nihat Ay:
  Natural Reweighted Wake-Sleep. 574-591

Engineering and Applications

• 
  Jiao Yang, Xing He, Tingwen Huang:
  Neurodynamic approaches for sparse recovery problem with linear inequality constraints. 592-601