RT @comcom_journal: New paper alert 🚨: "Explainable machine learning for performance anomaly detection and classification in mobile network…
New paper alert 🚨: "Explainable machine learning for performance anomaly detection and classification in mobile networks", by Juan M. Ramírez et al. Read it at: https://t.co/gZzGyqg9Hk https://t.co/0kDlkaSvZd
AddThis | Home https://t.co/YZEcFJ359F XMLAD methodology builds a knowledge model that includes a feature selection based on the clustering of a 2D projection of the data correlation matrix Reproducible research repository (Python codes): https://t.co/m
An unsupervised and nonparametric methodology for performance anomaly detection in mobile networks that characterizes the system normality behavior and identifies variables related to anomalous scenarios. paper: https://t.co/e4orBhLcCE code: https://t.c