Visual Studio Magazine

Data Anomaly Detection Using a Neural Autoencoder with C#

Data anomaly detection is the process of examining a set of source data to find data items that are different in some way from the majority of the source items. There are many different types of ...
Nature

Graph autoencoder with mirror temporal convolutional networks for traffic anomaly detection

In recent years, intelligent transportation have become increasingly complex due to rapid urbanization and population growth. There is a growing need for abnormal event detection in transportation ...
Nature

Anomaly detection in double-entry bookkeeping data by federated learning system with non-model sharing approach

Anomaly detection is crucial in financial auditing, yet effective detection often requires large volumes of data from multiple organizations. However, confidentiality concerns hinder data sharing ...
Visual Studio Magazine

Data Anomaly Detection Using a Neural Autoencoder with C#

Dr. James McCaffrey of Microsoft Research tackles the process of examining a set of source data to find data items that are different in some way from the majority of the source items. Data anomaly ...