dblp: Neural Networks, Volume 169 (original) (raw)

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Volume 169, January 2024

Learning Systems

Engineering and Applications

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    Junhang Wu, Ruimin Hu, Dengshi Li, Lingfei Ren, Zijun Huang, Yilong Zang:
    Beyond the individual: An improved telecom fraud detection approach based on latent synergy graph learning. 20-31

Mathematical and Computational Analysis

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    Caicai Zheng, Cheng Hu, Juan Yu, Shiping Wen:
    Saturation function-based continuous control on fixed-time synchronization of competitive neural networks. 32-43

Learning Systems

Reviews

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    Hayato Idei, Yuichi Yamashita:
    Elucidating multifinal and equifinal pathways to developmental disorders by constructing real-world neurorobotic models. 57-74

Learning Systems

Mathematical and Computational Analysis

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    Banghua Huang, Yang Liu, Yun-Liang Jiang, Jun Wang:
    Two-timescale projection neural networks in collaborative neurodynamic approaches to global optimization and distributed optimization. 83-91

Learning Systems

Engineering and Applications

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    Deyang Zhou, Lu Xu, Tianlei Wang, Shaonong Wei, Feng Gao, Xiaoping Lai, Jiuwen Cao:
    M-DDC: MRI based demyelinative diseases classification with U-Net segmentation and convolutional network. 108-119
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    Wenyuan Ying, Tianyang Dong, Jing Fan:
    An efficient multi-scale learning method for image super-resolution networks. 120-133
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    Rongzhen Li, Jiang Zhong, Wenyue Hu, Qizhu Dai, Chen Wang, Wenzhu Wang, Xue Li:
    Adaptive class augmented prototype network for few-shot relation extraction. 134-142

Neuroscience

Learning Systems

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    Yao Gou, Min Li, Yusen Zhang, Zhuzhen He, Yujie He:
    Few-shot image generation with reverse contrastive learning. 154-164
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    Weiming Wu, Jingtao Hu, Zejian Zhu, Fukai Zhang, Juanjuan Xu, Cong Wang:
    Deterministic learning-based neural identification and knowledge fusion. 165-180

Mathematical and Computational Analysis

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    Zicong Xia, Yang Liu, Jun Wang:
    An event-triggered collaborative neurodynamic approach to distributed global optimization. 181-190

Learning Systems

Cognitive Science

Mathematical and Computational Analysis

Learning Systems

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    Vladimir Cherkassky, Eng Hock Lee:
    To understand double descent, we need to understand VC theory. 242-256

Mathematical and Computational Analysis

Learning Systems

Cognitive Science

Engineering and Applications

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    Ke Sun, Xiyu Pang, Meifeng Zheng, Xiushan Nie, Xi Li, Houren Zhou, Yilong Yin:
    Heterogeneous context interaction network for vehicle re-identification. 293-306

Reviews

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    Songsong Tian, Lusi Li, Weijun Li, Hang Ran, Xin Ning, Prayag Tiwari:
    A survey on few-shot class-incremental learning. 307-324

Learning Systems

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    Zhiqiang Liu, Yuhong Li, Chengkai Huang, KunTing Luo, Yanxia Liu:
    Boosting fine-tuning via Conditional Online Knowledge Transfer. 325-333
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    Shuxin Yang, Quanming Du, Guixiang Zhu, Jie Cao, Lei Chen, Weiping Qin, Youquan Wang:
    Balanced influence maximization in social networks based on deep reinforcement learning. 334-351
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    Minghong Li, Yuqian Zhao, Fan Zhang, Biao Luo, Chunhua Yang, Weihua Gui, Kan Chang:
    Multi-scale feature selection network for lightweight image super-resolution. 352-364

Engineering and Applications

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    Shiyi Kong, Jun Ai, Minyan Lu, Yiang Gong:
    GRAND: GAN-based software runtime anomaly detection method using trace information. 365-377

Learning Systems

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    Yangyang Xu, Zengmao Wang, Xiaoping Zhang:
    Leveraging spatial residual attention and temporal Markov networks for video action understanding. 378-387

Engineering and Applications

Neuroscience

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    Zhongqi Lin, Zengwei Zheng:
    FCPN: Pruning redundant part-whole relations for more streamlined pattern parsing. 398-416

Learning Systems

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    Rogelio Andrade Mancisidor, Michael Kampffmeyer, Kjersti Aas, Robert Jenssen:
    Discriminative multimodal learning via conditional priors in generative models. 417-430
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    Zerui Tao, Toshihisa Tanaka, Qibin Zhao:
    Nonparametric tensor ring decomposition with scalable amortized inference. 431-441

Engineering and Applications

Learning Systems

Mathematical and Computational Analysis

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    Philipp Christian Petersen, Anna Sepliarskaia:
    VC dimensions of group convolutional neural networks. 462-474

Learning Systems

Neuroscience

Learning Systems

Mathematical and Computational Analysis

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    Hao Sun, Li Shen, Qihuang Zhong, Liang Ding, Shixiang Chen, Jingwei Sun, Jing Li, Guangzhong Sun, Dacheng Tao:
    AdaSAM: Boosting sharpness-aware minimization with adaptive learning rate and momentum for training deep neural networks. 506-519
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    Hongliang Liu, Jun Cheng, Jinde Cao, Iyad A. Katib:
    Preassigned-time synchronization for complex-valued memristive neural networks with reaction-diffusion terms and Markov parameters. 520-531

Learning Systems

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    Enhao Ning, Yangfan Wang, Changshuo Wang, Huang Zhang, Xin Ning:
    Enhancement, integration, expansion: Activating representation of detailed features for occluded person re-identification. 532-541
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    Meiling Li, Yangfu Zhu, Shicheng Li, Bin Wu:
    HG-PerCon: Cross-view contrastive learning for personality prediction. 542-554
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    Hamdan Abdellatef, Lina J. Karam:
    Reduced-complexity Convolutional Neural Network in the compressed domain. 555-571
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    Florian Bacho, Dominique F. Chu:
    Low-variance Forward Gradients using Direct Feedback Alignment and momentum. 572-583
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    Junhao Zhang, Qianqian Wang, Xiaochuan Wang, Lishan Qiao, Mingxia Liu:
    Preserving specificity in federated graph learning for fMRI-based neurological disorder identification. 584-596
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    Xiaojian Ding, Yi Li, Shilin Chen:
    Maximum margin and global criterion based-recursive feature selection. 597-606

Mathematical and Computational Analysis

Erratum

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    Ana Stanojevic, Stanislaw Wozniak, Guillaume Bellec, Giovanni Cherubini, Angeliki Pantazi, Wulfram Gerstner:
    Corrigendum to 'An exact mapping from ReLU networks to spiking neural networks' [Neural Networks Volume 168 (2023) Pages 74-88]. 622

Learning Systems

Reviews

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    Pallabi Sharma, Deepak Ranjan Nayak, Bunil Kumar Balabantaray, Muhammad Tanveer, Rajashree Nayak:
    A survey on cancer detection via convolutional neural networks: Current challenges and future directions. 637-659

Engineering and Applications

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    Slawek Smyl, Grzegorz Dudek, Pawel Pelka:
    Contextually enhanced ES-dRNN with dynamic attention for short-term load forecasting. 660-672

Mathematical and Computational Analysis

Engineering and Applications

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    Dehuan Zhang, Chenyu Wu, Jingchun Zhou, Weishi Zhang, Zifan Lin, Kemal Polat, Fayadh Alenezi:
    Robust underwater image enhancement with cascaded multi-level sub-networks and triple attention mechanism. 685-697
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    Kangqing Shen, Gemine Vivone, Xiaoyuan Yang, Simone Lolli, Michael Schmitt:
    A benchmarking protocol for SAR colorization: From regression to deep learning approaches. 698-712

Learning Systems

Mathematical and Computational Analysis

Erratum

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    Miaohui Zhang, Kaifang Li, Jianxin Ma, Xile Wang:
    Asymmetric double networks mutual teaching for unsupervised person Re-identification. 744-755

Learning Systems

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    Ting Zhou, Hanshu Yan, Bo Han, Lei Liu, Jingfeng Zhang:
    Learning a robust foundation model against clean-label data poisoning attacks at downstream tasks. 756-763
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    Yurou Chen, Fengyi Zhang, Zhiyong Liu:
    Adaptive bias-variance trade-off in advantage estimator for actor-critic algorithms. 764-777
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    Juntong Yun, Du Jiang, Li Huang, Bo Tao, Shangchun Liao, Ying Liu, Xin Liu, Gongfa Li, Disi Chen, Baojia Chen:
    Grasping detection of dual manipulators based on Markov decision process with neural network. 778-792

Editorial

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    Taro Toyoizumi, DeLiang Wang:
    A surge of submissions. 793-794

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