Connectionists: NEURAL NETWORKS, March 2020

[DeLiang Wang]

Neural Networks - Volume 123, March 2020
https://www.journals.elsevier.com/neural-networks


Minimum variance-embedded deep kernel regularized least squares method 
for one-class classification and its applications to biomedical data
Chandan Gautam, Pratik K. Mishra, Aruna Tiwari, Bharat Richhariya, ... 
M. Tanveer

A counterexample regarding "New study on neural networks: The essential 
order of approximation"
Steffen Goebbels

Cuneate spiking neural network learning to classify naturalistic texture 
stimuli under varying sensing conditions
Udaya B. Rongala, Alberto Mazzoni, Anton Spanne, Henrik Jorntell, 
Calogero M. Oddo

Synchronization of Hindmarsh Rose Neurons
Malik S.A., Mir A.H.

Multi-task learning for the prediction of wind power ramp events with 
deep neural networks
M. Dorado-Moreno, N. Navarin, P.A. Gutierrez, L. Prieto, ... C. 
Hervas-Martinez

A new fixed-time stability theorem and its application to the fixed-time 
synchronization of neural networks
Chuan Chen, Lixiang Li, Haipeng Peng, Yixian Yang, ... Hui Zhao

Finite-time and fixed-time anti-synchronization of Markovian neural 
networks with stochastic disturbances via switching control
Peng Wan, Dihua Sun, Min Zhao

Simplified calcium signaling cascade for synaptic plasticity
Vladimir Kornijcuk, Dohun Kim, Guhyun Kim, Doo Seok Jeong

Modeling functional resting-state brain networks through neural message 
passing on the human connectome
Julio A. Peraza-Goicolea, Eduardo Martinez-Montes, Eduardo Aubert, Pedro 
A. Valdes-Hernandez, Roberto Mulet

The role of coupling connections in a model of the cortico-basal 
ganglia-thalamocortical neural loop for the generation of beta oscillations
Chen Liu, Changsong Zhou, Jiang Wang, Chris Fietkiewicz, Kenneth A. Loparo

Neonatal seizure detection from raw multi-channel EEG using a fully 
convolutional architecture
Alison O'Shea, Gordon Lightbody, Geraldine Boylan, Andriy Temko

Multiple Partial Empirical Kernel Learning with Instance Weighting and 
Boundary Fitting
Zonghai Zhu, Zhe Wang, Dongdong Li, Wenli Du, Yangming Zhou

Learning physical properties in complex visual scenes: An intelligent 
machine for perceiving blood flow dynamics from static CT angiography 
imaging
Zhifan Gao, Xin Wang, Shanhui Sun, Dan Wu, ... Victor Hugo C. de 
Albuquerque

Discriminative margin-sensitive autoencoder for collective multi-view 
disease analysis
Zheng Zhang, Qi Zhu, Guo-Sen Xie, Yi Chen, ... Shuihua Wang

A scalable multi-signal approach for the parallelization of 
self-organizing neural networks
Mirto Musci, Giacomo Parigi, Virginio Cantoni, Marco Piastra

Exploiting the stimuli encoding scheme of evolving Spiking Neural 
Networks for stream learning
Jesus L. Lobo, Izaskun Oregi, Albert Bifet, Javier Del Ser

Evolving artificial neural networks with feedback
Sebastian Herzog, Christian Tetzlaff, Florentin Worgotter

Discriminative structure learning of sum-product networks for data 
stream classification
Zhengya Sun, Cheng-Lin Liu, Jinghao Niu, Wensheng Zhang

Robust face alignment by cascaded regression and de-occlusion
Jun Wan, Jing Li, Zhihui Lai, Bo Du, Lefei Zhang

Extreme learning machine for a new hybrid morphological/linear perceptron
Peter Sussner, Israel Campiotti

Efficient network architecture search via multiobjective particle swarm 
optimization based on decomposition
Jing Jiang, Fei Han, Qinghua Ling, Jie Wang, ... Henry Han

ELM embedded discriminative dictionary learning for image classification
Yijie Zeng, Yue Li, Jichao Chen, Xiaofan Jia, Guang-Bin Huang

Global collaboration through local interaction in competitive learning
Abbas Siddiqui, Dionysios Georgiadis

Bayesian deep matrix factorization network for multiple images denoising
Shuang Xu, Chunxia Zhang, Jiangshe Zhang

Global exponential synchronization of delayed memristive neural networks 
with reaction-diffusion terms
Yanyi Cao, Yuting Cao, Zhenyuan Guo, Tingwen Huang, Shiping Wen

Dimension independent bounds for general shallow networks
H.N. Mhaskar

CS-MRI reconstruction based on analysis dictionary learning and manifold 
structure regularization
Jianxin Cao, Shujun Liu, Hongqing Liu, Hongwei Lu

New H_infinity state estimation criteria of delayed static neural 
networks via the Lyapunov-Krasovskii functional with negative definite 
terms
Jing He, Yan Liang, Feisheng Yang, Feng Yang

Existence and finite-time stability of discrete fractional-order 
complex-valued neural networks with time delays
Xingxing You, Qiankun Song, Zhenjiang Zhao

Finite-time nonfragile time-varying proportional retarded 
synchronization for Markovian Inertial Memristive NNs with 
reaction-diffusion items
Xiaona Song, Jingtao Man, Shuai Song, Zhen Wang

On the minimax optimality and superiority of deep neural network 
learning over sparse parameter spaces
Satoshi Hayakawa, Taiji Suzuki

Global synchronization of coupled delayed memristive reaction-diffusion 
neural networks
Shiqin Wang, Zhenyuan Guo, Shiping Wen, Tingwen Huang

Spacial sampled-data control for H_infinity output synchronization of 
directed coupled reaction-diffusion neural networks with mixed delays
Binglong Lu, Haijun Jiang, Cheng Hu, Abdujelil Abdurahman

Structured pruning of recurrent neural networks through neuron selection
Liangjian Wen, Xuanyang Zhang, Haoli Bai, Zenglin Xu

A novel multi-modal machine learning based approach for automatic 
classification of EEG recordings in dementia
Cosimo Ieracitano, Nadia Mammone, Amir Hussain, Francesco C. Morabito

Liver disease screening based on densely connected deep neural networks
Zhenjie Yao, Jiangong Li, Zhaoyu Guan, Yancheng Ye, Yixin Chen