News

Insurancenewsnet.com4y
Reports from University of Central Florida Highlight Recent Findings in Risk Management (Crash Data Augmentation Using Variational Autoencoder)
2021 MAR 29 (NewsRx) -- By a News Reporter-Staff News Editor at Insurance Daily News-- Researchers detail new data in Risk Management.According to news reporting from Orlando, Florida Orlando, Florida ...
Semiconductor Engineering1y
Improving ML-Based Device Modeling Using Variational Autoencoder Techniques - Semiconductor Engineering
They can be particularly difficult to obtain in the semiconductor industry due to the complexity and expense of the device fabrication. In this article, we propose a self-augmentation strategy for ...
Visual Studio Magazine4y
Generating Synthetic Data Using a Variational Autoencoder with PyTorch
Training a Variational Autoencoder Training a VAE involves two measures of similarity (or equivalently measures of loss). First, you must measure how closely the reconstructed output matches the ...
Semiconductor Engineering3y
Improving Machine Learning-Based Modeling of Semiconductor Devices by Data Self-Augmentation
A VAE-based data self- augmentation strategy could relieve the contradiction between the accuracy and the insufficient training data in ML-based semiconductor device modeling. ... In this paper, we ...
EurekAlert!1y
Deep variational autoencoder for proteomics m | EurekAlert!
Next, Dear-DIA uses a variational autoencoder to extract the peak features of fragment ions and maps the features into Euclidean space, and then clusters the features, with different classes of ...