US Patent Issued to ELISA on Aug. 12 for "Training a supervised machine learning model for anomaly detection" (Finnish Inventors)

ALEXANDRIA, Va., Aug. 12 -- United States Patent no. 12,388,720, issued on Aug. 12, was assigned to ELISA OYJ (Helsinki).

"Training a supervised machine learning model for anomaly detection" was invented by Adriana Chis (Helsinki) and Petteri Lunden (Helsinki).

According to the abstract* released by the U.S. Patent & Trademark Office: "Example embodiments may relate to training of a supervised machine learning model for anomaly detection in a communication network. A computer-implemented method may comprise: detecting, by an unsupervised machine learning model, a plurality of anomalies in performance indicator data of a communication network; receiving labels for a first subset of the plurality of anomalies and labelling the first subset ...