dblp: Neural Networks, Volume 144 (original) (raw)

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Volume 144, December 2021

Learning Systems

Mathematical and Computational Analysis

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    Lingzhong Zhang, Jie Zhong, Jianquan Lu:
    Intermittent control for finite-time synchronization of fractional-order complex networks. 11-20

Learning Systems

Mathematical and Computational Analysis

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    Kai Yang, Haijun Zhang, Dongliang Zhou, Linlin Liu:
    TGAN: A simple model update strategy for visual tracking via template-guidance attention network. 61-74
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    Bo Liu, Zhaoying Liu, Ting Zhang, Tongtong Yuan:
    Non-differentiable saddle points and sub-optimal local minima exist for deep ReLU networks. 75-89
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    Wei Huang, Hongmei Yan, Kaiwen Cheng, Chong Wang, Jiyi Li, Yuting Wang, Chen Li, Chaorong Li, Yunhan Li, Zhentao Zuo, Huafu Chen:
    A neural decoding algorithm that generates language from visual activity evoked by natural images. 90-100

Learning Systems

Neuroscience

Learning Systems

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    Eiji Uchibe, Kenji Doya:
    Forward and inverse reinforcement learning sharing network weights and hyperparameters. 138-153
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    Zhiyuan Zhang, Ruixuan Luo, Xuancheng Ren, Qi Su, Liangyou Li, Xu Sun:
    Adversarial parameter defense by multi-step risk minimization. 154-163

Neuroscience

Learning Systems

Neuroscience

Learning Systems

Engineering and Applications

Learning Systems

Engineering and Applications

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    Jiaming Zhang, Zhanfeng Li, Xinyuan Song, Hanwen Ning:
    Deep Tobit networks: A novel machine learning approach to microeconometrics. 279-296

Learning Systems

Mathematical and Computational Analysis

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    Dongsheng Xu, Jiahuan Pang, Huan Su:
    Bipartite synchronization of signed networks via aperiodically intermittent control based on discrete-time state observations. 307-319

Learning Systems

Engineering and Applications

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    Federico Landi, Lorenzo Baraldi, Marcella Cornia, Rita Cucchiara:
    Working Memory Connections for LSTM. 334-341
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    Weiwen Wu, Dianlin Hu, Chuang Niu, Lieza Vanden Broeke, Anthony P. H. Butler, Peng Cao, James Atlas, Alexander I. Chernoglazov, Varut Vardhanabhuti, Ge Wang:
    Deep learning based spectral CT imaging. 342-358
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    Priyabrata Saha, Saurabh Dash, Saibal Mukhopadhyay:
    Physics-incorporated convolutional recurrent neural networks for source identification and forecasting of dynamical systems. 359-371

Mathematical and Computational Analysis

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    Libiao Peng, Xifeng Li, Dongjie Bi, Xuan Xie, Yongle Xie:
    Pinning multisynchronization of delayed fractional-order memristor-based neural networks with nonlinear coupling and almost-periodic perturbations. 372-383

Learning Systems

Cognitive Science

Mathematical and Computational Analysis

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    Robert Demb, David A. Sprecher:
    A note on computing with Kolmogorov Superpositions without iterations. 438-442

Learning Systems

Engineering and Applications

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    Zhongqiang Li, Zheng Li, Qing Chen, Alexandra Ramos, Jian Zhang, J. Philip Boudreaux, Ramcharan Thiagarajan, Yvette Bren-Mattison, Michael E. Dunham, Andrew J. McWhorter, Xin Li, Ji-Ming Feng, Yanping Li, Shaomian Yao, Jian Xu:
    Detection of pancreatic cancer by convolutional-neural-network-assisted spontaneous Raman spectroscopy with critical feature visualization. 455-464
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    Wei He, Meiqing Wu, Siew-Kei Lam:
    ACSL: Adaptive correlation-driven sparsity learning for deep neural network compression. 465-477
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    Hiroshi Yamakawa:
    The whole brain architecture approach: Accelerating the development of artificial general intelligence by referring to the brain. 478-495

Learning Systems

Neuroscience

Learning Systems

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    Maryam Doborjeh, Zohreh Gholami Doborjeh, Alexander Merkin, Helena Bahrami, Alexander Sumich, Rita Krishnamurthi, Oleg N. Medvedev, Mark Crook-Rumsey, Catherine Morgan, Ian J. Kirk, Perminder S. Sachdev, Henry Brodaty, Kristan Kang, Wei Wen, Valery Feigin, Nikola K. Kasabov:
    Personalised predictive modelling with brain-inspired spiking neural networks of longitudinal MRI neuroimaging data and the case study of dementia. 522-539
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    Weizhao Li, Feng Ge, Yi Cai, Da Ren:
    A conversational model for eliciting new chatting topics in open-domain conversation. 540-552

Engineering and Applications

Mathematical and Computational Analysis

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    Jiadong Chen, Shiping Wen, Kaibo Shi, Yin Yang:
    Highly parallelized memristive binary neural network. 565-572

Learning Systems

Neuroscience

Learning Systems

Neuroscience

Learning Systems

Engineering and Applications

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    Youngeun Kim, Priyadarshini Panda:
    Optimizing Deeper Spiking Neural Networks for Dynamic Vision Sensing. 686-698

Learning Systems

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    Malte Schilling, Andrew Melnik, Frank W. Ohl, Helge J. Ritter, Barbara Hammer:
    Decentralized control and local information for robust and adaptive decentralized Deep Reinforcement Learning. 699-725
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    Mohammadreza Salehi, Atrin Arya, Barbod Pajoum, Mohammad Otoofi, Amirreza Shaeiri, Mohammad Hossein Rohban, Hamid R. Rabiee:
    ARAE: Adversarially robust training of autoencoders improves novelty detection. 726-736
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    Catherine E. Davey, David B. Grayden, Anthony N. Burkitt:
    Impact of axonal delay on structure development in a multi-layered network. 737-754
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    Hailiang Ye, Yi Wang, Feilong Cao:
    A novel meta-learning framework: Multi-features adaptive aggregation method with information enhancer. 755-765
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    Xiaorui Qin, Yanghui Rao, Haoran Xie, Jiahai Wang, Fu Lee Wang:
    TACN: A Topical Adversarial Capsule Network for textual network embedding. 766-777

Mathematical and Computational Analysis

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