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Neural Networks, Volume 130
Volume 130, October 2020
- Qi Wang, Jinxing Lai, Luc Claesen, Zhenguo Yang, Liang Lei, Wenyin Liu
:
A novel feature representation: Aggregating convolution kernels for image retrieval. 1-10
- Jinmian Ye, Guangxi Li, Di Chen, Haiqin Yang
, Shandian Zhe
, Zenglin Xu
:
Block-term tensor neural networks. 11-21 - 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
- Qiang Xiao
, Tingwen Huang
:
Stability of delayed inertial neural networks on time scales: A unified matrix-measure approach. 33-38
- Mengmeng Jing, Jingjing Li, Ke Lu, Lei Zhu
, Yang Yang:
Learning explicitly transferable representations for domain adaptation. 39-48 - Guanghao Zhang
, Yue Li
, Dongshun Cui, Shangbo Mao
, Guang-Bin Huang:
R-ELMNet: Regularized extreme learning machine network. 49-59
- 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
- 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
- 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
- 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
- Nhu-Van Nguyen
, Christophe Rigaud
, Arnaud Revel, Jean-Christophe Burie
:
A learning approach with incomplete pixel-level labels for deep neural networks. 111-125
- Yanyan Shen, Khashayar Khorasani
:
Hybrid multi-mode machine learning-based fault diagnosis strategies with application to aircraft gas turbine engines. 126-142
- 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
- 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 - Giannis Nikolentzos
, George Dasoulas, Michalis Vazirgiannis:
k-hop graph neural networks. 195-205 - Nairouz Mrabah
, Naimul Mefraz Khan, Riadh Ksantini, Zied Lachiri
:
Deep clustering with a Dynamic Autoencoder: From reconstruction towards centroids construction. 206-228
- Xia Zhou, Jun Cheng
, Jinde Cao, Minvydas Ragulskis
:
Asynchronous dissipative filtering for nonhomogeneous Markov switching neural networks with variable packet dropouts. 229-237
- O. Guehairia, Abdelmalik Ouamane, Fadi Dornaika
, Abdelmalik Taleb-Ahmed:
Feature fusion via Deep Random Forest for facial age estimation. 238-252
- Aluízio F. R. Araújo
, Victor Oliveira Antonino
, Karina L. Ponce-Guevara
:
Self-organizing subspace clustering for high-dimensional and multi-view data. 253-268
- Wenjing Li
, Minghui Chu, Junfei Qiao:
A pruning feedforward small-world neural network based on Katz centrality for nonlinear system modeling. 269-285
- 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
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