The demo program presented in this article uses image data, but the autoencoder anomaly detection technique can work with any type of data. The demo begins by creating a Dataset object that stores the ...

There are many different types of anomaly detection techniques. This article explains how to use a neural autoencoder implemented using raw C# to find anomalous data items. Compared to other anomaly ...

Anomaly detection is one of the more difficult and ... The main advantage of the autoencoder rests on its ability to turn the class imbalance problem on its head, since it relies on the prevalent ...

LLC (BEA), offering the opportunity for SRV to enter into a license and/or collaborative research agreement to commercialize this variational autoencoder for network anomaly detection. This ...