Skip to search formSkip to main content
You are currently offline. Some features of the site may not work correctly.

Neural Networks

Known as: Neural Networks (Journal), Neural network (disambiguation) 
Neural Networks is a monthly peer-reviewed scientific journal and an official journal of the International Neural Network Society, European Neural… Expand
Wikipedia

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
Review
2020
Review
2020
Deep Convolutional Neural Network (CNN) is a special type of Neural Networks, which has shown exemplary performance on several… Expand
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 5
Review
2020
Review
2020
Before Convolutional Neural Networks gained popularity, computer recognition problems involved extracting features out of the… Expand
  • figure 1
  • figure 3
  • figure 4
  • figure 5
  • figure 8
Review
2019
Review
2019
Over the past decades, a tremendous amount of research has been done on the use of machine learning for speech processing… Expand
  • figure 1
  • figure 2
  • figure 4
  • figure 5
  • figure 6
Review
2019
Review
2019
Recently, a spate of papers have provided positive theoretical results for training over-parameterized neural networks (where the… Expand
Review
2019
Review
2019
A neuroscience method to understanding the brain is to find and study the preferred stimuli that highly activate an individual… Expand
  • figure 1
  • figure 2
  • figure 4
  • figure 7
  • table 1
Review
2019
Review
2019
Abstract Within the realm of service robotics, researchers have placed a great amount of effort into learning, understanding, and… Expand
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 5
Review
2019
Review
2019
Time Series Classification (TSC) is an important and challenging problem in data mining. With the increase of time series data… Expand
  • figure 1
  • figure 2
  • figure 3
  • figure 4
  • figure 5
Review
2018
Review
2018
Lots of learning tasks require dealing with graph data which contains rich relation information among elements. Modeling physics… Expand
  • figure 1
  • table 1
  • figure 2
  • table 2
  • table 3
Review
2018
Review
2018
Deep neural networks are the state-of-the-art methods for many real-world tasks, such as computer vision, natural language… Expand
  • table 1
  • figure 1
  • figure 2
  • figure 3
  • figure 4
Review
2018
Review
2018
Computer vision has become increasingly important and effective in recent years due to its wide-ranging applications in areas as… Expand