Fribourg, Switzerland

Sylvain Luiset


 

Average Co-Inventor Count = 2.0

ph-index = 1

Forward Citations = 2(Granted Patents)


Company Filing History:


Years Active: 2016

Loading Chart...
Loading Chart...
1 patent (USPTO):Explore Patents

Title: Sylvain Luiset: Innovator in Statistical Aberrant Behavior Detection

Introduction

Sylvain Luiset is a notable inventor based in Fribourg, Switzerland. He has made significant contributions to the field of data analysis, particularly in the detection of aberrant behavior in time-series data. His innovative approach has implications for various industries that rely on accurate data interpretation.

Latest Patents

Sylvain holds a patent for "Methods and systems for statistical aberrant behavior detection of time-series data." This patent discloses methods and systems for detecting aberrant behavior in time-series observation data, such as non-existent domain data. The methods analyze time-series observation data to determine time-series prediction data. By utilizing both the observation and prediction data, a threshold is established based on the standard deviation of deviation values. This threshold is crucial for identifying aberrant behavior in subsequent time-series observation data.

Career Highlights

Throughout his career, Sylvain has worked with prominent companies, including Verisign, Inc. and Swisscom AG. His experience in these organizations has allowed him to refine his skills and contribute to significant advancements in data analysis technologies.

Collaborations

Some of Sylvain's notable coworkers include Matthew Thomas and Steve Rouiller. Their collaboration has likely fostered an environment of innovation and creativity in their respective projects.

Conclusion

Sylvain Luiset's work in statistical aberrant behavior detection showcases his expertise and commitment to advancing data analysis methodologies. His contributions are valuable to industries that depend on accurate data interpretation and analysis.

This text is generated by artificial intelligence and may not be accurate.
Please report any incorrect information to support@idiyas.com
Loading…