Stenio F L Fernandes

Title: Stenio F. L. Fernandes and Tiered Anomaly Detection.

Introduction

Stenio F. L. Fernandes is an inventor associated with Ottawa, Canada, and ServiceNow, Inc. His patent work includes a system for detecting anomalies in configuration items through a tiered machine-learning approach.

Latest Patents

Fernandes is associated with 1 patent, titled “Tiered Anomaly Detection.” The invention trains a multivariate machine-learning model for each configuration-item type. When a univariate model detects a potential anomaly for a particular type, the system initiates the corresponding multivariate model and evaluates its output to determine the anomaly-detection result.

Career Highlights

The patent reflects work on applying machine learning to anomaly detection across different types of configuration items. Its tiered design uses an initial univariate detection step to trigger a more specific multivariate analysis.

Collaborations

Fernandes’s listed coworkers include Lorne Schell and Fanny C. Riols. The patent information provided does not specify their individual contributions.

Conclusion

Stenio F. L. Fernandes’s patent describes a tiered machine-learning method that combines initial anomaly detection with configuration-specific analysis.