期刊： NEURAL NETWORKS, 2023; 157 ()
The Rutting prediction model is an essential element of efficient pavement management systems. Accuracy of commonly used predictive model necessitates......
期刊： NEURAL NETWORKS, 2023; 158 ()
In recent years, Deep Learning models have shown a great performance in complex optimization problems. They generally require large training datasets,......
期刊： NEURAL NETWORKS, 2023; 161 ()
Pruning is a model compression method that removes redundant parameters and accelerates the inference speed of deep neural networks (DNNs) while maint......
期刊： NEURAL NETWORKS, 2023; 161 ()
This paper investigates a class of power consumption minimization and equalization for intelligent and connected vehicles cooperative system. Accordin......
期刊： NEURAL NETWORKS, 2023; 161 ()
Reviews of songs play an important role in online music service platforms. Prior research shows that users can make quicker and more informed decision......
期刊： NEURAL NETWORKS, 2023; 164 ()
Arbitrary artistic style transfer has achieved great success with deep neural networks, but it is still difficult for existing methods to tackle the d......
期刊： NEURAL NETWORKS, 2023; 165 ()
Dictionary learning has found broad applications in signal and image processing. By adding constraints to the traditional dictionary learning model, d......
期刊： NEURAL NETWORKS, 2023; 165 ()
Stochastic momentum methods are widely used to solve stochastic optimization problems in machine learning. However, most of the existing theoretical a......
期刊： NEURAL NETWORKS, 2023; 168 ()
Neurons are the fundamental units of neural networks. In this paper, we propose a method for explaining neural networks by visualizing the learning pr......
期刊： NEURAL NETWORKS, 2023; 157 ()
Distant supervision (DS) can automatically generate annotated data for relation extraction (RE) with knowledge bases and corpora. The existing DS meth......
期刊： NEURAL NETWORKS, 2023; 157 ()
Existing works in recommender system have widely explored extracting reviews as explanations beyond user-item interactions, and formulated the explana......
期刊： NEURAL NETWORKS, 2023; 157 ()
The spatial specificities of hippocampal place cells, i.e., their firing fields, are subject to change if the rat enters a new compartment in the expe......
期刊： NEURAL NETWORKS, 2023; 157 ()
Residual Network (ResNet) achieves deeper and wider networks with high-performance gains, representing a powerful convolutional neural network archite......
期刊： NEURAL NETWORKS, 2023; 158 ()
Differentiable architecture search (DARTS) is one of the prevailing paradigms of neural architecture search (NAS) due to allowing efficient gradient-b......
期刊： NEURAL NETWORKS, 2023; 158 ()
Bone age assessment plays a significant role in estimating bone maturity. However, radiograph/X-ray images of hand bones contain a large amount of red......
