This inventor holds 1 USPTO granted patent and 1 published patent application. Top assignee: Sentinelone, Inc.. Active years: 2026.
Company Filing History:
Years Active: 2026
Title: Tzlil Gonen: Innovator in Data Selection Methods
Introduction
Tzlil Gonen is an accomplished inventor based in Mountain View, CA (US). She has made significant contributions to the field of data selection for iterative training, showcasing her expertise through her innovative patent.
Latest Patents
Tzlil Gonen holds a patent titled "Systems and methods of data selection for iterative training using zero knowledge clustering." This patent describes a method that selects an initial training dataset from a repository of samples with known classifications. The method provides feature vectors as input to a classification model and trains the model using these vectors. It also determines classifications for additional samples and calculates the differences between determined and known classifications. Based on these differences, the method assigns selection weightings and selects a subset of samples for further training.
Career Highlights
Tzlil Gonen is currently employed at SentinelOne, Inc., where she applies her innovative ideas to enhance data selection processes. Her work is pivotal in advancing machine learning and classification models.
Collaborations
Some of Tzlil's coworkers include Idan Ludmir and Moshe Strenger, who contribute to her projects and innovations.
Conclusion
Tzlil Gonen's contributions to data selection methods exemplify her innovative spirit and dedication to advancing technology. Her patent reflects her expertise and commitment to improving classification models in the field of data science.