Network based attacks on ecommerce websites can have serious economic consequences. Hence, anomaly detection in dynamic network traffic has become an increasingly important research topic in recent ...

In this work, considering both high dimensionality and dynamic relations between elements in the hidden layer, an improved autoencoder with dynamic hidden layer (DHL-AE) is proposed and applied for ...

This repository contains a collection of scripts and modules for preprocessing, training, and evaluating an anomaly detection model applied on particle physics, specifically on the LHC Olympics 2020 ...

This is a tedious task all too familiar from the use of IRC-unsafe jet clustering algorithms (e.g., iterative cone algorithms) by the CDF and D0 experiments (Kilgore and Giele, 1997), which was later ...

Any time-series dataset that needs anomaly detection can utilize EMOD. “I’m most eager to see EMOD applied to monitoring complex real-world systems—especially those where anomalies can have critical ...

Network based attacks on ecommerce websites can have serious economic consequences. Hence, anomaly detection in dynamic network traffic has become an increasingly important research topic in recent ...