Visual Studio Magazine

Data Anomaly Detection Using LightGBM

Creating and Training the LightGBM Autoencoder Model The LightGBM system does not have a built-in autoencoder class so one must be created using multiple regression modules. The goal of the ...
insideHPC

Research Highlights: MIT Develops First Generative Model for Anomaly Detection that Combines both Reconstruction-based and Prediction-based Models

Kalyan Veeramachaneni and his team at the MIT Data-to-AI (DAI) Lab have developed the first generative model, the AutoEncoder with Regression (AER) for time series anomaly detection, that combines ...