Connectionists: NEURAL NETWORKS, Nov. 2020

[Wang, Deliang]

Neural Networks - Volume 131, November 2020
https:www.journals.elsevier.com/neural-networks


Integral reinforcement learning based event-triggered control with input saturation
Shan Xue, Biao Luo, Derong Liu

Deep learning on image denoising: An overview
Chunwei Tian, Lunke Fei, Wenxian Zheng, Yong Xu, ... Chia-Wen Lin

Fast Deep Stacked Networks based on Extreme Learning Machine applied to regression problems
Bruno Legora Souza da Silva, Fernando Kentaro Inaba, Evandro Ottoni Teatini Salles, Patrick Marques Ciarelli

Sparse coding with a somato-dendritic rule
Damien Drix, Verena V. Hafner, Michael Schmuker

ASSAF: Advanced and Slim StegAnalysis Detection Framework for JPEG images based on deep convolutional denoising autoencoder and Siamese networks
Assaf Cohen, Aviad Cohen, Nir Nissim

Relation-Guided Representation Learning
Zhao Kang, Xiao Lu, Jian Liang, Kun Bai, Zenglin Xu

Improved object recognition using neural networks trained to mimic the brain's statistical properties
Callie Federer, Haoyan Xu, Alona Fyshe, Joel Zylberberg

Bifurcations in a fractional-order neural network with multiple leakage delays
Chengdai Huang, Heng Liu, Xiangyun Shi, Xiaoping Chen, ... Jinde Cao

DANTE: Deep alternations for training neural networks
Vaibhav B. Sinha, Sneha Kudugunta, Adepu Ravi Sankar, Surya Teja Chavali, Vineeth N. Balasubramanian

Hungarian layer: A novel interpretable neural layer for paraphrase identification
Han Xiao

MetalGAN: Multi-domain label-less image synthesis using cGANs and meta-learning
Tomaso Fontanini, Eleonora Iotti, Luca Donati, Andrea Prati

Twin minimax probability machine for pattern classification
Liming Yang, Yakun Wen, Min Zhang, Xue Wang

Compressing 3DCNNs based on tensor train decomposition
Dingheng Wang, Guangshe Zhao, Guoqi Li, Lei Deng, Yang Wu

SVM-Boosting based on Markov resampling: Theory and algorithm
Hongwei Jiang, Bin Zou, Chen Xu, Jie Xu, Yuan Yan Tang

Leveraging maximum entropy and correlation on latent factors for learning representations
Zhicheng He, Jie Liu, Kai Dang, Fuzhen Zhuang, Yalou Huang

Intermittent boundary stabilization of stochastic reaction-diffusion Cohen-Grossberg neural networks
Xiao-Zhen Liu, Kai-Ning Wu, Weihai Zhang

Two-hidden-layer feed-forward networks are universal approximators: A constructive approach
Eduardo Paluzo-Hidalgo, Rocio Gonzalez-Diaz, Miguel A. Gutierez-Naranjo

Global mu-synchronization of impulsive pantograph neural networks
Xuechen Li, Nan Wang, Jungang Lou, Jianquan Lu

Theory of deep convolutional neural networks II: Spherical analysis
Zhiying Fang, Han Feng, Shuo Huang, Ding-Xuan Zhou

Finite-time stabilization and energy consumption estimation for delayed neural networks with bounded activation function
Chongyang Chen, Song Zhu, Min Wang, Chunyu Yang, Zhigang Zeng

Synthesis of recurrent neural dynamics for monotone inclusion with application to Bayesian inference
Peng Yi, ShiNung Ching

Exponential synchronization of stochastic delayed memristive neural networks via a novel hybrid control
Nijing Yang, Yongbin Yu, Shouming Zhong, Xiangxiang Wang, ... Jingye Cai

Unsupervised multi-domain multimodal image-to-image translation with explicit domain-constrained disentanglement
Weihao Xia, Yujiu Yang, Jing-Hao Xue

Improved recurrent neural network-based manipulator control with remote center of motion constraints: Experimental results
Hang Su, Yingbai Hu, Hamid Reza Karimi, Alois Knoll, ... Elena De Momi

Memristor-based LSTM network with in situ training and its applications
Xiaoyang Liu, Zhigang Zeng, Donald C. Wunsch II
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