This inventor holds 1 USPTO granted patent. Top assignee: Dell Products Inc.. Active years: 2024.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:
Years Active: 2024
Title: **Joseph Standerfer: Innovator in Anomaly Detection Technologies**
Introduction
Joseph Standerfer is an accomplished inventor based in Austin, Texas. He holds a patent that significantly enhances the evaluation of anomaly detection models using aggregated time-series signals. His innovative approach has the potential to transform data analysis within various industries.
Latest Patents
Standerfer's notable patent is titled "Evaluation framework for anomaly detection using aggregated time-series signals". This patent provides techniques for evaluating one or more anomaly detection models. It involves methods such as obtaining discrete transactions, determining feature values, and applying them to anomaly detection models to generate scores for each transaction. Key steps further include aggregating discrete transactions to create aggregated time-series signals and initiating automated actions based on performance metrics derived from model predictions.
Career Highlights
Joseph Standerfer is currently employed at Dell Products Inc., a leading company in technology and innovation. His work contributes to the advancement of anomaly detection methodologies, providing significant improvements in how businesses can interpret and react to data.
Collaborations
Standerfer collaborates with fellow innovators such as Saila Parthasarathy and Parikshit Verma at Dell. Their collective expertise enhances the development of cutting-edge technologies, furthering the innovation landscape within the technology sector.
Conclusion
As an inventor, Joseph Standerfer stands out for his significant contributions to anomaly detection technologies. His work not only reflects his personal ingenuity but also contributes to the broader goals of enhancing data analysis and predictive capabilities in various fields. His innovative approach through his patented methods marks a substantial achievement in the realm of technology and data science.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
