Neural Networks, Volume 161

Volume 161, April 2023

Mathematical and Computational Analysis

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  Huannan Zheng, Nanxiang Yu, Wei Zhu:
  Quasi-synchronization of drive-response systems with parameter mismatch via event-triggered impulsive control. 1-8

Learning Systems

• 
  Mingqing Xiao, Qingyan Meng, Zongpeng Zhang, Yisen Wang, Zhouchen Lin:
  SPIDE: A purely spike-based method for training feedback spiking neural networks. 9-24
• 
  Xu Huang, Bowen Zhang, Shanshan Feng, Yunming Ye, Xutao Li:
  Interpretable local flow attention for multi-step traffic flow prediction. 25-38
• 
  Jiajun Wen, Hong-Lin Chu, Zhihui Lai, Tianyang Xu, Linlin Shen:
  Enhanced robust spatial feature selection and correlation filter learning for UAV tracking. 39-54

Mathematical and Computational Analysis

• 
  Weipeng Tai, Xinling Li, Jianping Zhou, Sabri Arik:
  Asynchronous dissipative stabilization for stochastic Markov-switching neural networks with completely- and incompletely-known transition rates. 55-64

Learning Systems

• 
  Jiayu Mao, Shuang Qiu, Wei Wei, Huiguang He:
  Cross-modal guiding and reweighting network for multi-modal RSVP-based target detection. 65-82

Engineering and Applications

• 
  Jiun-Da Lin, Yue-Hua Han, Po-Han Huang, Julianne Tan, Jun-Cheng Chen, Muhammad Tanveer, Kai-Lung Hua:
  DEFAEK: Domain Effective Fast Adaptive Network for Face Anti-Spoofing. 83-91

Erratum

• 
  Qiang Li:
  Corrigendum to "Functional connectivity inference from fMRI data using multivariate information measures" [Neural Networks 146 (2022) 85-97]. 92

Learning Systems

• 
  De-Yan Xie, Quanxue Gao, Ming Yang:
  Enhanced tensor low-rank representation learning for multi-view clustering. 93-104

Erratum

• 
  Zhaoshuo Liu, Chaolu Feng, Shuaizheng Chen, Jun Hu:
  Knowledge-Preserving continual person re-identification using Graph Attention Network. 105-115

Cognitive Science

• 
  Adedapo Alabi, Dieter Vanderelst, Ali A. Minai:
  Rapid learning of spatial representations for goal-directed navigation based on a novel model of hippocampal place fields. 116-128

Mathematical and Computational Analysis

• 
  Nicola Rares Franco, Stefania Fresca, Andrea Manzoni, Paolo Zunino:
  Approximation bounds for convolutional neural networks in operator learning. 129-141

Learning Systems

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  Sugandha Arora, Harsh Kumar Suman, Trilok Mathur, Hari Mohan Pandey, Kamlesh Tiwari:
  Fractional derivative based weighted skip connections for satellite image road segmentation. 142-153
• 
  Pui-Wai Ma, T.-H. Hubert Chan:
  A feedforward unitary equivariant neural network. 154-164
• 
  Moonjung Eo, Suhyun Kang, Wonjong Rhee:
  An effective low-rank compression with a joint rank selection followed by a compression-friendly training. 165-177

Erratum

• 
  Sree Rama Vamsidhar S., Arun Kumar Sivapuram, Vaishnavi Ravi, Gowtham Senthil, Rama Krishna Gorthi:
  VISAL - A novel learning strategy to address class imbalance. 178-184

Mathematical and Computational Analysis

• 
  Yeonjong Shin, Jérôme Darbon, George Em Karniadakis:
  Accelerating gradient descent and Adam via fractional gradients. 185-201

Learning Systems

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  Pratik Mazumder, Mohammed Asad Karim, Indu Joshi, Pravendra Singh:
  Leveraging joint incremental learning objective with data ensemble for class incremental learning. 202-212
• 
  Kun Tian, Chenghao Zhang, Ying Wang, Shiming Xiang:
  Domain adaptive object detection with model-agnostic knowledge transferring. 213-227
• 
  Jinwei Xing, Takashi Nagata, Xinyun Zou, Emre Neftci, Jeffrey L. Krichmar:
  Achieving efficient interpretability of reinforcement learning via policy distillation and selective input gradient regularization. 228-241

Mathematical and Computational Analysis

• 
  Denis Belomestny, Alexey Naumov, Nikita Puchkin, Sergey Samsonov:
  Simultaneous approximation of a smooth function and its derivatives by deep neural networks with piecewise-polynomial activations. 242-253

Erratum

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  Shiping Wang, Yunhe Zhang, Xincan Lin, Lichao Su, Guobao Xiao, William Zhu, Yiqing Shi:
  Learning matrix factorization with scalable distance metric and regularizer. 254-266

Mathematical and Computational Analysis

• 
  Kai Yang, Haijun Zhang, Dongliang Zhou, Li Dong, Jianghong Ma:
  IASA: An IoU-aware tracker with adaptive sample assignment. 267-280

Learning Systems

• 
  Fangzhu Ming, Feng Gao, Kun Liu, Chengmei Zhao:
  Cooperative modular reinforcement learning for large discrete action space problem. 281-296

Erratum

• 
  Yaoping Li, Shuangcheng Jia, Qian Li:
  BalanceHRNet: An effective network for bottom-up human pose estimation. 297-305

Learning Systems

• 
  Peng Zhao, Yi Li, Baowei Tang, Huiting Liu, Sheng Yao:
  Feature relocation network for fine-grained image classification. 306-317

Engineering and Applications

• 
  Fernando J. Rendón-Segador, Juan Antonio Álvarez-García, Jose L. Salazar-González, Tatiana Tommasi:
  CrimeNet: Neural Structured Learning using Vision Transformer for violence detection. 318-329

Learning Systems

• 
  Zikai Feng, Mengxing Huang, Yuanyuan Wu, Di Wu, Jinde Cao, Iakov Korovin, Sergey Gorbachev, Nadezhda Gorbacheva:
  Approximating Nash equilibrium for anti-UAV jamming Markov game using a novel event-triggered multi-agent reinforcement learning. 330-342

Mathematical and Computational Analysis

• 
  Xutao Li, Michael K. Ng, Guangning Xu, Andy M. Yip:
  Multi-relational graph convolutional networks: Generalization guarantees and experiments. 343-358

Learning Systems

• 
  Qingwen Li, Jianni Chen, Qiqin Xie, Xiao Han:
  Video summarization for event-centric videos. 359-370

Engineering and Applications

• 
  Han Zhang, Luyi Bai:
  Few-shot link prediction for temporal knowledge graphs based on time-aware translation and attention mechanism. 371-381

Learning Systems

• 
  Rui Wang, Xiaojun Wu, Tianyang Xu, Cong Hu, Josef Kittler:
  U-SPDNet: An SPD manifold learning-based neural network for visual classification. 382-396
• 
  Pengyu Song, Chunhui Zhao, Biao Huang:
  MPGE and RootRank: A sufficient root cause characterization and quantification framework for industrial process faults. 397-417
• 
  Marko Zeman, Jana Faganeli Pucer, Igor Kononenko, Zoran Bosnic:
  SuperFormer: Continual learning superposition method for text classification. 418-436

Engineering and Applications

• 
  José de Jesús Rubio:
  Bat algorithm based control to decrease the control energy consumption and modified bat algorithm based control to increase the trajectory tracking accuracy in robots. 437-448

Learning Systems

• 
  Mahsa Paknezhad, Hamsawardhini Rengarajan, Chenghao Yuan, Sujanya Suresh, Manas Gupta, Savitha Ramasamy, Hwee Kuan Lee:
  Improving transparency and representational generalizability through parallel continual learning. 449-465

Engineering and Applications

• 
  Haohao Qin, Gui Zhao, Yue Li, Hui Wang:
  Hybrid distributed finite-time neurodynamic optimization of electric vehicle charging schemes management in microgrid considering time-varying factors. 466-475

Learning Systems

• 
  Angelo G. Menezes, Gustavo de Moura, Cézanne Alves, André C. P. L. F. de Carvalho:
  Continual Object Detection: A review of definitions, strategies, and challenges. 476-493
• 
  Leyuan Qu, Cornelius Weber, Stefan Wermter:
  Emphasizing unseen words: New vocabulary acquisition for end-to-end speech recognition. 494-504
• 
  Yangrui Chen, Jiaxuan You, Jun He, Yuan Lin, Yanghua Peng, Chuan Wu, Yibo Zhu:
  SP-GNN: Learning structure and position information from graphs. 505-514

Cognitive Science

• 
  Christian Tsvetkov, Gaurav Malhotra, Benjamin D. Evans, Jeffrey S. Bowers:
  The role of capacity constraints in Convolutional Neural Networks for learning random versus natural data. 515-524

Erratum

• 
  Xinyu Peng, Fei-Yue Wang, Li Li:
  MixGradient: A gradient-based re-weighting scheme with mixup for imbalanced data streams. 525-534

Neuroscience

• 
  Jian-Xun Mi, Nuo Li, Ke-Yang Huang, Weisheng Li, Lifang Zhou:
  Hierarchical neural network with efficient selection inference. 535-549

Engineering and Applications

• 
  Krasymyr Tretiak, Georg Schollmeyer, Scott Ferson:
  Neural network model for imprecise regression with interval dependent variables. 550-564

Learning Systems

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  Aurora Cobo Aguilera, Pablo M. Olmos, Antonio Artés-Rodríguez, Fernando Pérez-Cruz:
  Regularizing transformers with deep probabilistic layers. 565-574

Erratum

• 
  Ali Nouri, Seyyed Ali Seyyedsalehi:
  Eigen value based loss function for training attractors in iterated autoencoders. 575-588

Learning Systems

• 
  Hua Yang, Minghao Zhao, Lei Yuan, Yang Yu, Zhenhua Li, Ming Gu:
  Memory-efficient Transformer-based network model for Traveling Salesman Problem. 589-597
• 
  Yue Wu, Yuan Lan, Luchan Zhang, Yang Xiang:
  Feature flow regularization: Improving structured sparsity in deep neural networks. 598-613
• 
  Qian Wang, Fanlin Meng, Toby P. Breckon:
  Data augmentation with norm-AE and selective pseudo-labelling for unsupervised domain adaptation. 614-625

Mathematical and Computational Analysis

• 
  Zelin Zang, Yongjie Xu, Linyan Lu, Yulan Geng, Senqiao Yang, Stan Z. Li:
  UDRN: Unified Dimensional Reduction Neural Network for feature selection and feature projection. 626-637

Learning Systems

• 
  Baicheng Pan, Chuandong Li, Hangjun Che:
  Nonconvex low-rank tensor approximation with graph and consistent regularizations for multi-view subspace learning. 638-658
• 
  Eli Verwimp, Kuo Yang, Sarah Parisot, Lanqing Hong, Steven McDonagh, Eduardo Pérez-Pellitero, Matthias De Lange, Tinne Tuytelaars:
  CLAD: A realistic Continual Learning benchmark for Autonomous Driving. 659-669
• 
  Kyeongtak Han, Youngeun Kim, Dongyoon Han, Hojun Lee, Sungeun Hong:
  TL-ADA: Transferable Loss-based Active Domain Adaptation. 670-681
• 
  JoonHo Lee, Gyemin Lee:
  Feature Alignment by Uncertainty and Self-Training for Source-Free Unsupervised Domain Adaptation. 682-692

Mathematical and Computational Analysis

• 
  Jingxin Liu, Xiaofeng Liao, Jin-song Dong, Amin Mansoori:
  A neurodynamic approach for nonsmooth optimal power consumption of intelligent and connected vehicles. 693-707

Reviews

• 
  Yingjie Tian, Xiaotong Yu, Saiji Fu:
  Partial label learning: Taxonomy, analysis and outlook. 708-734

Engineering and Applications

• 
  Lixin Yang, Jie Tao, Yong-Hua Liu, Yong Xu, Chun-Yi Su:
  Energy scheduling for DoS attack over multi-hop networks: Deep reinforcement learning approach. 735-745
• 
  Jingya Zang, Cuiyun Gao, Yupan Chen, Ruifeng Xu, Lanjun Zhou, Xuan Wang:
  Learning to Generate Tips from Song Reviews. 746-756

Learning Systems

• 
  Diponkor Bala, Md Shamim Hossain, Mohammad Alamgir Hossain, Md. Ibrahim Abdullah, Md. Mizanur Rahman, Balachandran Manavalan, Naijie Gu, Mohammad S. Islam, Zhangjin Huang:
  MonkeyNet: A robust deep convolutional neural network for monkeypox disease detection and classification. 757-775