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For the Inventor, By the Inventor

Raleigh, NC, United States of America

Susan Edwards Haller

USPTO Granted Patents = 10

Average Co-Inventor Count = 4.7

ph-index = 3

Forward Citations = 40(Granted Patents)


Company Filing History:

goldMedal10 out of 795 
 
Sas Institute Inc.
 patents

Years Active: 2012-2020

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10 patents (USPTO):Explore Patents
1. 10600005 - System for automatic, simultaneous feature selection and hyperparameter tuning for a machine learning model (2020-03-24),
2. 10242473 - Computer system to generate scalable plots using clustering (2019-03-26),
3. 10127696 - Computer system to generate scalable plots using clustering (2018-11-13),
4. 9495414 - Cluster computation using random subsets of variables (2016-11-15),
5. 9489621 - Graph based selection of decorrelated variables (2016-11-08),
6. 9471869 - Determination of composite clusters (2016-10-18),
7. 9367799 - Neural network based cluster visualization that computes pairwise distances between centroid locations, and determines a projected centroid location in a multidimensional space (2016-06-14),
8. 9367602 - Probabilistic cluster assignment (2016-06-14),
9. 9202178 - Computerized cluster analysis framework for decorrelated cluster identification in datasets (2015-12-01),
10. 8296224 - Constrained optimized binning for scorecards (2012-10-23),

Title: Susan Edwards Haller: Innovator in Machine Learning and Data Visualization

Introduction

Susan Edwards Haller is a prominent inventor based in Raleigh, NC (US). She has made significant contributions to the fields of machine learning and data visualization, holding a total of 10 patents. Her innovative work focuses on enhancing the efficiency and effectiveness of machine learning models and data representation.

Latest Patents

One of her latest patents is a "System for automatic, simultaneous feature selection and hyperparameter tuning for a machine learning model." This invention involves a computing device that selects a feature set and hyperparameters to predict values for characteristics in a scoring dataset. The system determines the number of training model iterations and selects unique evaluation pairs for each iteration, which include a feature set and a hyperparameter configuration. Each trained machine learning model is validated to compute a performance measure value, leading to the selection of a final feature set and hyperparameter configuration based on these computed values.

Another notable patent is a "Computer system to generate scalable plots using clustering." This invention includes techniques for generating plots based on computational clustering performed by a system. The system processes clusters of data to create visual representations that indicate the effect of various variables on predicted outcomes. These plots can be segmented, with each segment corresponding to individual curves, enhancing the clarity of data presentation on display devices.

Career Highlights

Susan currently works at SAS Institute Inc., a leading company in analytics and data management. Her role involves leveraging her expertise in machine learning to develop innovative solutions that address complex data challenges. Her contributions have significantly advanced the capabilities of machine learning applications in various industries.

Collaborations

Throughout her career, Susan has collaborated with talented individuals, including Ilknur Kaynar Kabul and Patrick Hall. These partnerships have fostered a creative environment that encourages the exchange of ideas and the development of groundbreaking technologies.

Conclusion

Susan Edwards Haller is a remarkable inventor whose work in machine learning and data visualization continues to impact the field significantly. Her innovative patents and contributions to SAS Institute Inc. exemplify her dedication to advancing technology and improving data analysis methods.

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