(Python, R, C/C++) Isolation Forest and variations such as SCiForest and EIF, with some additions (outlier detection + similarity + NA imputation)
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Updated
May 15, 2024 - C++
(Python, R, C/C++) Isolation Forest and variations such as SCiForest and EIF, with some additions (outlier detection + similarity + NA imputation)
Forex analysis and anomaly detection for data obtained using the REST API of the European Central Bank.
Defenzio is a cutting-edge prototype designed to detect zero-day attacks using Deep-learning.Mitigate potential security threats in real-time.
Identifying outliers in well logs with machine learning.
Data Reserch трафика Modbus и приложение моделей ML для поиска аномалий в нем
calibration of photographic film
Cyclone Preheater Abnormality Study
A Spark/Scala implementation of the isolation forest unsupervised outlier detection algorithm.
Métodos para extração de outliers
Exploratory Data Analysis - Telecom Customer Churn
Anomaly Detection in Optical Networks
Time series anomaly detection, time series classification & dynamic time warping, performed on a dataset of Canadian weather measurements.
An approach for anomaly detection in Industrial Control Systems (ICS), using Water Treatment Dataset (SWaT). The implementation incorporates cutting-edge machine learning techniques, including Isolation Forest and Autoencoder models, augmented by Dynamic Time Warping (DTW) algorithm.
Comparison of various anomaly detection algorithms using scikit-learn and visualization through Plotly Dash
Anomaly Detection strategies were used for detection of credit card fraud.
This project aims to predict Wind Turbine output power and searches for any anomalies
Winning one of the DACON competition
Application of Machine Learning in Finance Domain
Comparative Analysis of Unsupervised Learning Methods for Real-time Anomaly Detection in Industrial Control Systems (ICS)
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