An R package for space-time anomaly detection using scan statistics.

Anomaly detection and failure prognosis applied to industrial machines

RELOAD: Rapid EvaLuation Of Anomaly Detectors @ UNIFI

anomeda: Extract trends, compare periods, find anomalies and its causes in non-aggregated time-series in Python

Mining user networks for predicting cyber attacks

ROS-based Multisensor Fusion Digital Twin (MFDT) platform for real-time monitoring and defect detection of Laser-Directed Energy Deposition (L-DED) Additive Manufacturing (AM) process.

A collection of tutorials covering the latest research in time series.

A Node-RED node for running an impulse created by the Edge Impulse development platform.

Senior Product- A Canvas LMS anomaly detection algorithm

NECO paper presented @ICLR2024

Anomaly Detection for SCADA systems

Comparison of clustering methods for determining the operational states of a wastewater treatment plant (BSc project in Statistics) 🔧 🚰 🔄 ♻️ 💦

Detecting Fake User Profiles using k-Means and Local Outlier Factor

This notebook demonstrates how to use the Microsoft Azure Anomaly Finder Service.

This GitHub repository provides a comprehensive set of tools and algorithms for detecting fraud anomalies in various data sources. Fraudulent activities can have severe consequences, impacting businesses and individuals alike. With this repository, we aim to empower researchers with effective techniques to identify and prevent fraudulent behavior.

An investigation on the use of shapley explanations for unsupervised anomaly-detection models

Time series anomaly detection and change-point on the univariate (potentially multivariate case) for time series economic data from LA concerning unemployment

The goal of the competition was to predict fraudulent transactions on a dataset with about 40 million instances, with some characteristics similar to the datasets processed by Feedzai.

The NBA data and Machine Learning