Anomaly detection method that incorporates multi-scale features to sparse coding

This repository contains code from our comparative study on state of the art unsupervised pathology detection and segmentation methods.

EfficientNetV2 based PaDiM

Open Source library for easy and modular Visual Anomaly Detection

[work-in-progress] Convolutional neural network for anomaly detection on large road networks

Progetto per l'esame del corso di Fondamenti di Intelligenza Artificiale

Advanced anomaly detection system using graph neural networks and time series analysis to identify fraudulent transactions, money laundering patterns, and market manipulation in real-time financial data streams.

The reposiltory for the Design of an Anomaly Detection System for Network Security. Identifies suspicious network traffic patterns using unsupervised learning.

Advanced anomaly detection using topological data analysis and manifold learning.