Nature

Highly accurate anomaly based intrusion detection through integration of the local outlier factor and convolutional neural network

Intrusion detection systems (IDS) are critical for safeguarding computer networks by identifying malicious activities. However, distinguishing attacks in IDSs with high accuracy is challenging. This ...
InfoQ

Grafana Adds Outlier Detection to Its Machine Learning Toolkit

A monthly overview of things you need to know as an architect or aspiring architect. Unlock the full InfoQ experience by logging in! Stay updated with your favorite authors and topics, engage with ...
Nature

A new hybrid model for improving outlier detection using combined autoencoder and variational autoencoder

In this paper, we propose a new hybrid model, called AVE, that integrates the strengths of Autoencoder (AE) and Variational Autoencoder (VAE) to enhance outlier detection for numerous high-dimensional ...
Semiconductor Engineering

Geo-Spatial Outlier Detection

Comparing die test results with other die on a wafer helps identify outliers, but combining that data with the exact location of an outlier offers a much deeper understanding of what can go wrong and ...