San Francisco, CA, United States of America

Colleen Kinross


Average Co-Inventor Count = 10.0

ph-index = 2

Forward Citations = 32(Granted Patents)


Company Filing History:


Years Active: 2019-2023

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3 patents (USPTO):Explore Patents

Title: innovator Colleen Kinross: Pioneering Predictive Models in Anomaly Detection

Introduction

Colleen Kinross, an accomplished inventor based in San Francisco, CA, has made significant contributions to the field of predictive modeling and anomaly detection. With a total of three patents to her name, Kinross has demonstrated her expertise and innovative spirit, particularly in utilizing time series data to enhance machine learning processes.

Latest Patents

Kinross's latest patents focus on innovative methods for predictive model selection for anomaly detection. In these patents, sequences of time series values obtained from machine data are analyzed. By generating a plurality of predictive models for a first time series, Kinross's work allows for the determination of errors between predicted values and actual values associated with the first time series. This enables the selection of the most effective predictive model for detecting anomalies. Furthermore, her methods involve transmitting indications of detected anomalies, showcasing her contribution to automated anomaly detection systems.

Career Highlights

Throughout her career, Kinross has worked with notable companies, including Splunk Inc. Her experience in these dynamic environments has allowed her to refine her skills and push the boundaries of innovation in predictive analytics.

Collaborations

Kinross has collaborated with accomplished professionals, including Adam Jamison Oliner and Jonathan La. These collaborations have further enriched her research and development efforts, resulting in advanced solutions for anomaly detection in machine learning.

Conclusion

Colleen Kinross is a remarkable inventor whose work in predictive modeling has paved the way for advancements in anomaly detection. With her significant patents and collaborations with industry professionals, she continues to influence the landscape of machine learning and data analytics. Her innovative contributions stand as a testament to her dedication and creativity in the field.

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