期刊： NEURAL NETWORKS, 2021; 140 ()
Recent years have witnessed numerous successful applications of incorporating attention module into feed-forward convolutional neural networks. Along ......
期刊： NEURAL NETWORKS, 2021; 137 ()
Deep neural networks (DNNs) with a complex structure and multiple nonlinear processing units have achieved great successes for feature learning in ima......
期刊： NEURAL NETWORKS, 2021; 138 ()
Spiking neural networks (SNNs) are regarded as effective models for processing spatio-temporal information. However, their inherent complexity of temp......
期刊： NEURAL NETWORKS, 2021; 137 ()
The problem on passive filter design for fractional-order quaternion-valued neural networks (FOQVNNs) with neutral delays and external disturbance is ......
期刊： NEURAL NETWORKS, 2021; 139 ()
Although zero-shot learning (ZSL) has an inferential capability of recognizing new classes that have never been seen before, it always faces two funda......
期刊： NEURAL NETWORKS, 2021; 139 ()
This paper investigates the quasi-synchronization problem of the stochastic heterogeneous complex dynamical networks with impulsive couplings and mult......
期刊： NEURAL NETWORKS, 2021; 142 ()
A novel convolutional neural network is proposed for local prior feature embedding and imbalanced dataset modeling for multi-channel time-varying sign......
期刊： NEURAL NETWORKS, 2021; 139 ()
In this paper, the synchronization problem of inertial neural networks with time-varying delays and generally Markovian jumping is investigated. The s......
期刊： NEURAL NETWORKS, 2021; 140 ()
With the increasing demand of mining rich knowledge in graph structured data, graph embedding has become one of the most popular research topics in bo......
期刊： NEURAL NETWORKS, 2021; 141 ()
The paper focuses on the synchronization problem for a class of coupled neural networks with impulsive control, where the saturation structure of impu......
期刊： NEURAL NETWORKS, 2021; 142 ()
Saliency detection is an important and challenging research topic due to the variety and complexity of the background and saliency regions. In this pa......
期刊： NEURAL NETWORKS, 2021; 139 ()
As a major method for relation extraction, distantly supervised relation extraction (DSRE) suffered from the noisy label problem and class imbalance p......
期刊： NEURAL NETWORKS, 2021; 140 ()
Speaker recognition is a task of identifying persons from their voices. Recently, deep learning has dramatically revolutionized speaker recognition. H......
期刊： NEURAL NETWORKS, 2021; 139 ()
Multi-agent deep reinforcement learning (MDRL) has been widely applied in multi-intersection traffic signal control. The MDRL algorithms produce the d......
期刊： NEURAL NETWORKS, 2021; 140 ()
Continuous dimensional emotion recognition from speech helps robots or virtual agents capture the temporal dynamics of a speaker's emotional state in ......
