Department of Cellular and Molecular Anatomy, Hamamatsu University School of Medicine, Hamamatsu, Shizuoka 431-3192, Japan Department of Cellular and Molecular Anatomy, Hamamatsu University School of ...

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 ...

Existing works commonly use neural networks to map the data into a more informative representation and then apply an anomaly detection algorithm. In this paper, we propose a method, DASVDD, that ...

Unsupervised anomaly detection uses an unlabeled test set ... and CICIDS2017 data sets. The calculated output demonstrated for the Autoencoder and GAN solution was highly effective in determining ...

Abstract: Accurate detection of anomalies in multivariate time series data has attracted much attention due to its importance in a wide range of applications. Since it is difficult to obtain ...

came from the neural autoencoder. Because of the very nature of an outlier event and, therefore, of an outlier detection technique, none of the strategies were immune from the false positives. At ...