Publicly Available Patents

Method, Medium, and System for Recommending Compositions of Product Features Using Regression Trees.

U.S. Patent No. 11,030,667. Washington, DC: U.S. Patent and Trademark Office., 2021

Patent applied while at Dell EMC’s Brazil R&D Center.

Recommended citation: Adriana Bechara Prado, Victor S. Bursztyn, Jonas Furtado Dias, André de Almeida Maximo, and Angelo Ernani Maia Ciarlini. 2021. Method, Medium, and System for Recommending Compositions of Product Features Using Regression Trees. U.S. Patent No. 11,030,667. Washington, DC: U.S. Patent and Trademark Office. https://patents.google.com/patent/US11030667B1/en

Relevance Decay for Time-based Evaluation of Machine Learning Applications.

U.S. Patent No. 10,885,464. Washington, DC: U.S. Patent and Trademark Office., 2021

Patent applied while at Dell EMC’s Brazil R&D Center.

Recommended citation: Diego Salomone Bruno, Victor S. Bursztyn, Percy Enrique Rivera Salas, and Tiago Salviano Calmon. 2021. Relevance Decay for Time-based Evaluation of Machine Learning Applications. U.S. Patent No. 10,885,464. Washington, DC: U.S. Patent and Trademark Office. https://patents.google.com/patent/US10885464B1/en

Methods and Apparatus for a Semantic Multi-Database Data Lake.

U.S. Patent No. 10,901,973. Washington, DC: U.S. Patent and Trademark Office., 2021

Patent applied while at Dell EMC’s Brazil R&D Center.

Recommended citation: Rodrigo Dias Arruda Senra, Karin Breitman, Adriana Bechara Prado, and Victor S. Bursztyn. 2021. Methods and Apparatus for a Semantic Multi-Database Data Lake. U.S. Patent No. 10,901,973. Washington, DC: U.S. Patent and Trademark Office. https://patents.google.com/patent/US10901973B1/en

Recommending Features for Content Planning Based on Advertiser Polling and Historical Audience Measurements.

U.S. Patent No. 10,448,120. Washington, DC: U.S. Patent and Trademark Office., 2019

Patent applied while at Dell EMC’s Brazil R&D Center.

Recommended citation: Victor S. Bursztyn, Jonas Furtado Dias, André de Almeida Maximo, Adriana Bechara Prado, and Rodrigo Dias Arruda Senra. 2019. Recommending Features for Content Planning Based on Advertiser Polling and Historical Audience Measurements. U.S. Patent No. 10,448,120. Washington, DC: U.S. Patent and Trademark Office. https://patents.google.com/patent/US10448120B1/en