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 ...
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 ...
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 ...
Visual Studio Magazine

Autoencoder Anomaly Detection Using PyTorch

Dr. James McCaffrey of Microsoft Research provides full code and step-by-step examples of anomaly detection, used to find items in a dataset that are different from the majority for tasks like ...