Insurancenewsnet.com

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, by NewsRx ...
Visual Studio Magazine

Generating Synthetic Data Using a Variational Autoencoder with PyTorch

Generating synthetic data is useful when you have imbalanced training data for a particular class, for example, generating synthetic females in a dataset of employees that has many males but few ...
Semiconductor Engineering

Improving ML-Based Device Modeling Using Variational Autoencoder Techniques

A technical paper titled “Improving Semiconductor Device Modeling for Electronic Design Automation by Machine Learning Techniques” was published by researchers at Commonwealth Scientific and ...
EurekAlert!

Deep variational autoencoder for proteomics mass spectrometry data analysis

Jianwei Shuai's team and Jiahuai Han's team at Xiamen University have developed a deep autoencoder-based data-independent acquisition data analysis software for protein mass spectrometry, which ...