IEEE

UACE-IF-AD: Unsupervised Tail-Mass Calibration for Isolation Forest under Unknown Contamination

Abstract: Isolation Forest (IF) remains widely used for unsupervised anomaly detection in financial and cybersecurity applications, but its effectiveness is highly sensitive to the contamination ...
IEEE

Anomaly Detection in Complex Systems Using Extended Isolation Forest and Denoising Autoencoder

Abstract: In this paper, we propose an anomaly detection model based on Extended Isolation Forest and Denoising Autoencoder, which achieves unsupervised anomaly detection with good generalization ...
Hosted on MSN

The indigenous groups living in isolation from the modern world

Across the world, some communities continue to live in remote regions with little or no contact with modern society. These tribes maintain cultural traditions that have been passed down through ...
GitHub

Truly Spatial Random Forest

A Python implementation of the Truly Spatial Random Forests (SRF) algorithm for geoscience data analysis. Based on: Talebi, H., Peeters, L.J.M., Otto, A. & Tolosana-Delgado, R. (2022). A Truly Spatial ...