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 ...
datanami.com

Chung-Ang University Researchers Review Deep Learning-based Methods to Detect Time Series Data Anomaly

SEOUL, Feb. 9, 2023 — Monitoring financial security, industrial safety, medical conditions, climate, and pollution require analysis of large volumes of time series data. A crucial step in this ...
Scientific Research Publishing

Graph Neural Networks for Anomaly Detection in Cloud Infrastructure ()

Graph Neural Networks for Anomaly Detection in Cloud Infrastructure ...
SDxCentral

Lacework Automates Time Series Analysis for Cloud Anomaly Detection

Lacework added an automated time-series modeling to its existing anomaly detection capabilities and enhanced its alert system for better threat detection and investigation at scale. Polygraph then ...
Visual Studio Magazine

Data Anomaly Detection Using a Neural Autoencoder with C#

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 ...