Neural Networks, Volume 130

Volume 130, October 2020

Mathematical and Computational Analysis

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  Qi Wang, Jinxing Lai, Luc Claesen, Zhenguo Yang, Liang Lei, Wenyin Liu:
  A novel feature representation: Aggregating convolution kernels for image retrieval. 1-10

Learning Systems

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  Jinmian Ye, Guangxi Li, Di Chen, Haiqin Yang, Shandian Zhe, Zenglin Xu:
  Block-term tensor neural networks. 11-21
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  Muqing Deng, Tingting Meng, Jiuwen Cao, Shimin Wang, Jing Zhang, Huijie Fan:
  Heart sound classification based on improved MFCC features and convolutional recurrent neural networks. 22-32

Neural Networks Letters

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  Qiang Xiao, Tingwen Huang:
  Stability of delayed inertial neural networks on time scales: A unified matrix-measure approach. 33-38

Learning Systems

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  Mengmeng Jing, Jingjing Li, Ke Lu, Lei Zhu, Yang Yang:
  Learning explicitly transferable representations for domain adaptation. 39-48
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  Guanghao Zhang, Yue Li, Dongshun Cui, Shangbo Mao, Guang-Bin Huang:
  R-ELMNet: Regularized extreme learning machine network. 49-59

Mathematical and Computational Analysis

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  Emel Arslan, Govindasamy Narayanan, M. Syed Ali, Sabri Arik, Sumit Saroha:
  Controller design for finite-time and fixed-time stabilization of fractional-order memristive complex-valued BAM neural networks with uncertain parameters and time-varying delays. 60-74

Neuroscience

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  Syed Aamir Ali Shah, Lei Zhang, Abdul Bais:
  Dynamical system based compact deep hybrid network for classification of Parkinson disease related EEG signals. 75-84

Mathematical and Computational Analysis

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  Pengzhan Jin, Lu Lu, Yifa Tang, George Em Karniadakis:
  Quantifying the generalization error in deep learning in terms of data distribution and neural network smoothness. 85-99

Engineering and Applications

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  Bing Wei, Haibo He, Kuangrong Hao, Lei Gao, Xue-Song Tang:
  Visual interaction networks: A novel bio-inspired computational model for image classification. 100-110

Learning Systems

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  Nhu-Van Nguyen, Christophe Rigaud, Arnaud Revel, Jean-Christophe Burie:
  A learning approach with incomplete pixel-level labels for deep neural networks. 111-125

Engineering and Applications

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  Yanyan Shen, Khashayar Khorasani:
  Hybrid multi-mode machine learning-based fault diagnosis strategies with application to aircraft gas turbine engines. 126-142

Mathematical and Computational Analysis

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  Jiahui Li, Zidong Wang, Hongli Dong, Weiyin Fei:
  Delay-distribution-dependent state estimation for neural networks under stochastic communication protocol with uncertain transition probabilities. 143-151
• 
  Panchi Li, Bing Wang:
  Quantum neural networks model based on swap test and phase estimation. 152-164
• 
  Hongwei Ren, Zhiping Peng, Yu Gu:
  Fixed-time synchronization of stochastic memristor-based neural networks with adaptive control. 165-175

Learning Systems

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  Kyung Hye Kim, So Young Sohn:
  Hybrid neural network with cost-sensitive support vector machine for class-imbalanced multimodal data. 176-184
• 
  Plamen Angelov, Eduardo A. Soares:
  Towards explainable deep neural networks (xDNN). 185-194
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  Giannis Nikolentzos, George Dasoulas, Michalis Vazirgiannis:
  k-hop graph neural networks. 195-205
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  Nairouz Mrabah, Naimul Mefraz Khan, Riadh Ksantini, Zied Lachiri:
  Deep clustering with a Dynamic Autoencoder: From reconstruction towards centroids construction. 206-228

Mathematical and Computational Analysis

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  Xia Zhou, Jun Cheng, Jinde Cao, Minvydas Ragulskis:
  Asynchronous dissipative filtering for nonhomogeneous Markov switching neural networks with variable packet dropouts. 229-237

Engineering and Applications

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  O. Guehairia, Abdelmalik Ouamane, Fadi Dornaika, Abdelmalik Taleb-Ahmed:
  Feature fusion via Deep Random Forest for facial age estimation. 238-252

Learning Systems

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  Aluízio F. R. Araújo, Victor Oliveira Antonino, Karina L. Ponce-Guevara:
  Self-organizing subspace clustering for high-dimensional and multi-view data. 253-268

Mathematical and Computational Analysis

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  Wenjing Li, Minghui Chu, Junfei Qiao:
  A pruning feedforward small-world neural network based on Katz centrality for nonlinear system modeling. 269-285

Learning Systems

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  Cheng Lian, Zhigang Zeng, Xiaoping Wang, Wei Yao, Yixin Su, Huiming Tang:
  Landslide displacement interval prediction using lower upper bound estimation method with pre-trained random vector functional link network initialization. 286-296
• 
  Jizong Peng, Hoel Kervadec, Jose Dolz, Ismail Ben Ayed, Marco Pedersoli, Christian Desrosiers:
  Discretely-constrained deep network for weakly supervised segmentation. 297-308
• 
  Sjoerd van Steenkiste, Karol Kurach, Jürgen Schmidhuber, Sylvain Gelly:
  Investigating object compositionality in Generative Adversarial Networks. 309-325