Connectionists: NEURAL NETWORKS, Nov. 2021

[Wang, Deliang]

Neural Networks - Volume 143,  November 2021
https://www.journals.elsevier.com/neural-networks


Convolutional fusion network for monaural speech enhancement
Yang Xian, Yang Sun, Wenwu Wang, Syed Mohsen Naqvi

The asymmetric learning rates of murine exploratory behavior in sparse reward environments
Hiroyuki Ohta, Kuniaki Satori, Yu Takarada, Masashi Arake, ... Tatsuji Takahashi

A distributed optimisation framework combining natural gradient with Hessian-free for discriminative sequence training
Adnan Haider, Chao Zhang, Florian L. Kreyssig, Philip C. Woodland

Bidirectional interaction between visual and motor generative models using Predictive Coding and Active Inference
Louis Annabi, Alexandre Pitti, Mathias Quoy

Visual-guided attentive attributes embedding for zero-shot learning
Rui Zhang, Qi Zhu, Xiangyu Xu, Daoqiang Zhang, Sheng-Jun Huang

Reliable impulsive synchronization for fuzzy neural networks with mixed controllers
Fen Liu, Chang Liu, Hongxia Rao, Yong Xu, Tingwen Huang

Finite time convergence of pinning synchronization with a single nonlinear controller
Tianping Chen, Wenlian Lu, Xiwei Liu

Internal manipulation of perceptual representations in human flexible cognition: A computational model
Giovanni Granato, Gianluca Baldassarre

A computational model of familiarity detection for natural pictures, abstract images, and random patterns: Combination of deep learning and anti-Hebbian training
Yakov Kazanovich, Roman Borisyuk

Periodic clustering of simple and complex cells in visual cortex
Gwangsu Kim, Jaeson Jang, Se-Bum Paik

A novel density-based neural mass model for simulating neuronal network dynamics with conductance-based synapses and membrane current adaptation
Chih-Hsu Huang, Chou-Ching K. Lin

How to handle noisy labels for robust learning from uncertainty
Daehyun Ji, Dokwan Oh, Yoonsuk Hyun, Oh-Min Kwon, Myeong-Jin Park

Exponential passivity of discrete-time switched neural networks with transmission delays via an event-triggered sliding mode control
Jinling Wang, Haijun Jiang, Cheng Hu, Tianlong Ma

On the characterization of cognitive tasks using activity-specific short-lived synchronization between electroencephalography channels
B. Orkan Olcay, Murat Ozgoren, Bilge Karacali

Augmented semantic feature based generative network for generalized zero-shot learning
Zhiqun Li, Qiong Chen, Qingfa Liu

Learning to recognize while learning to speak: Self-supervision and developing a speaking motor
Xiang Wu, Juyang Weng

Adversarial orthogonal regression: Two non-linear regressions for causal inference
M. Reza Heydari, Saber Salehkaleybar, Kun Zhang

A brain-inspired computational model for spatio-temporal information processing
Xiaohan Lin, Xiaolong Zou, Zilong Ji, Tiejun Huang, ... Yuanyuan Mi

A semi-supervised zero-shot image classification method based on soft-target
Zhong Ji, Qiang Wang, Biying Cui, Yanwei Pang, ... Xuelong Li

Locality preserving dense graph convolutional networks with graph context-aware node representations
Wenfeng Liu, Maoguo Gong, Zedong Tang, A.K. Qin, ... Mingliang Xu

Neural optimal tracking control of constrained nonaffine systems with a wastewater treatment application
Ding Wang, Mingming Zhao, Mingming Ha, Jin Ren

Correlating subword articulation with lip shapes for embedding aware audio-visual speech enhancement
Hang Chen, Jun Du, Yu Hu, Li-Rong Dai, ... Chin-Hui Lee

HiAM: A Hierarchical Attention based Model for knowledge graph multi-hop reasoning
Ting Ma, Shangwen Lv, Longtao Huang, Songlin Hu

Variational policy search using sparse Gaussian process priors for learning multimodal optimal actions
Hikaru Sasaki, Takamitsu Matsubara

Label propagation via local geometry preserving for deep semi-supervised image recognition
Yuanyuan Qing, Yijie Zeng, Guang-Bin Huang

Robust cost-sensitive kernel method with Blinex loss and its applications in credit risk evaluation
Jingjing Tang, Jiahui Li, Weiqi Xu, Yingjie Tian, ... Jie Zhang

Graph routing between capsules
Yang Li, Wei Zhao, Erik Cambria, Suhang Wang, Steffen Eger

IGAGCN: Information geometry and attention-based spatiotemporal graph convolutional networks for traffic flow prediction
Jiyao An, Liang Guo, Wei Liu, Zhiqiang Fu, ... Tao Li

A global neural network learning machine: Coupled integer and fractional calculus operator with an adaptive learning scheme
Huaqing Zhang, Yi-Fei Pu, Xuetao Xie, Bingran Zhang, ... Tingwen Huang

Enhanced image prior for unsupervised remoting sensing super-resolution
Jiaming Wang, Zhenfeng Shao, Xiao Huang, Tao Lu, ... Jiayi Ma

When Noise meets Chaos: Stochastic Resonance in Neurochaos Learning
Harikrishnan N.B., Nithin Nagaraj

Sensitivity - Local index to control chaoticity or gradient globally -
Katsunari Shibata, Takuya Ejima, Yuki Tokumaru, Toshitaka Matsuki

Sparse random feature maps for the item-multiset kernel
Kyohei Atarashi, Satoshi Oyama, Masahito Kurihara

Transfer-RLS method and transfer-FORCE learning for simple and fast training of reservoir computing models
Hiroto Tamura, Gouhei Tanaka

Levenberg-Marquardt multi-classification using hinge loss function
Buse Melis Ozyildirim, Mariam Kiran

Multi-view spectral clustering via common structure maximization of local and global representations
Wenyu Hao, Shanmin Pang, Zhikai Chen

Continual learning for recurrent neural networks: An empirical evaluation
Andrea Cossu, Antonio Carta, Vincenzo Lomonaco, Davide Bacciu

Content-aware convolutional neural networks
Yong Guo, Yaofo Chen, Mingkui Tan, Kui Jia, ... Jingdong Wang

CommPOOL: An interpretable graph pooling framework for hierarchical graph representation learning
Haoteng Tang, Guixiang Ma, Lifang He, Heng Huang, Liang Zhan

Capsule networks with non-iterative cluster routing
Zhihao Zhao, Samuel Cheng

Quantum neuron with real weights
Claudio A. Monteiro, Gustavo I.S. Filho, Matheus Hopper J. Costa, Fernando M. de Paula Neto, Wilson R. de Oliveira

Hebbian semi-supervised learning in a sample efficiency setting
Gabriele Lagani, Fabrizio Falchi, Claudio Gennaro, Giuseppe Amato

Active sensing with artificial neural networks
Oleg Solopchuk, Alexandre Zenon

Constrained plasticity reserve as a natural way to control frequency and weights in spiking neural networks
Oleg Nikitin, Olga Lukyanova, Alex Kunin

A theory of capacity and sparse neural encoding
Pierre Baldi, Roman Vershynin

Experimental stability analysis of neural networks in classification problems with confidence sets for persistence diagrams
Naoki Akai, Takatsugu Hirayama, Hiroshi Murase

A continuous-time neurodynamic approach and its discretization for distributed convex optimization over multi-agent systems
Xingnan Wen, Linhua Luan, Sitian Qin

A hybrid quantum-classical neural network with deep residual learning
Yanying Liang, Wei Peng, Zhu-Jun Zheng, Olli Silven, Guoying Zhao

Synchronization of recurrent neural networks with unbounded delays and time-varying coefficients via generalized differential inequalities
Hao Zhang, Zhigang Zeng

Fast mesh data augmentation via Chebyshev polynomial of spectral filtering
Shih-Gu Huang, Moo K. Chung, Anqi Qiu

Periodicity and multi-periodicity generated by impulses control in delayed Cohen-Grossberg-type neural networks with discontinuous activations
Zuowei Cai, Lihong Huang, Zengyun Wang, Xianmin Pan, Shukun Liu

Adaptive neural network asymptotic tracking control for nonstrict feedback stochastic nonlinear systems
Yongchao Liu, Qidan Zhu

On the effective initialisation for restricted Boltzmann machines via duality with Hopfield model
Francesca Elisa Leonelli, Elena Agliari, Linda Albanese, Adriano Barra

Distributed learning for sketched kernel regression
Heng Lian, Jiamin Liu, Zengyan Fan

Equivalent-input-disturbance estimator-based event-triggered control design for master-slave neural networks
P. Selvaraj, O.M. Kwon, S.H. Lee, R. Sakthivel

Dynamical and static multisynchronization analysis for coupled multistable memristive neural networks with hybrid control
Xiaoxiao Lv, Jinde Cao, Leszek Rutkowski

Smoothing neural network for  regularized optimization problem with general convex constraints
Wenjing Li, Wei Bian

On the approximation of functions by tanh neural networks
Tim De Ryck, Samuel Lanthaler, Siddhartha Mishra

Learning hierarchically-structured concepts
Nancy Lynch, Frederik Mallmann-Trenn

Effective and direct control of neural TTS prosody by removing interactions between different attributes
Xiaochun An, Frank K. Soong, Shan Yang, Lei Xie

Neural adaptive fault-tolerant finite-time control for nonstrict feedback systems: An event-triggered mechanism
K. Sun, J. Qiu, H.R. Karimi

Recurrent neural network pruning using dynamical systems and iterative fine-tuning
Christos Chatzikonstantinou, Dimitrios Konstantinidis, Kosmas Dimitropoulos, Petros Daras

Low-shot transfer with attention for highly imbalanced cursive character recognition
Amin Jalali, Swathi Kavuri, Minho Lee

Online sensorimotor learning and adaptation for inverse dynamics control
Xiaofeng Xiong, Poramate Manoonpong

Refined UNet v3: Efficient end-to-end patch-wise network for cloud and shadow segmentation with multi-channel spectral features
Libin Jiao, Lianzhi Huo, Changmiao Hu, Ping Tang

A full-parallel implementation of Self-Organizing Maps on hardware
Leonardo A. Dias, Augusto M.P. Damasceno, Elena Gaura, Marcelo A.C. Fernandes
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