Patents by Inventor Tirso Alonso

Tirso Alonso has filed for patents to protect the following inventions. This listing includes patent applications that are pending as well as patents that have already been granted by the United States Patent and Trademark Office (USPTO).

  • Patent number: 10971135
    Abstract: Systems, methods, and computer-readable storage devices for crowd-sourced data labeling. The system requests a respective response from each of a set of entities. The set of entities includes crowd workers. Next, the system incrementally receives a number of responses from the set of entities until one of an accuracy threshold is reached and m responses are received, wherein the accuracy threshold is based on characteristics of the number of responses. Finally, the system generates an output response based on the number of responses.
    Type: Grant
    Filed: July 11, 2019
    Date of Patent: April 6, 2021
    Assignee: AT&T INTELLECTUAL PROPERTY I, L.P.
    Inventors: Jason Williams, Tirso Alonso, Barbara B. Hollister, Ilya Dan Melamed
  • Publication number: 20190333497
    Abstract: Systems, methods, and computer-readable storage devices for crowd-sourced data labeling. The system requests a respective response from each of a set of entities. The set of entities includes crowd workers. Next, the system incrementally receives a number of responses from the set of entities until one of an accuracy threshold is reached and m responses are received, wherein the accuracy threshold is based on characteristics of the number of responses. Finally, the system generates an output response based on the number of responses.
    Type: Application
    Filed: July 11, 2019
    Publication date: October 31, 2019
    Inventors: Jason Williams, Tirso Alonso, Barbara B. Hollister, Ilya Dan Melamed
  • Patent number: 10360897
    Abstract: Systems, methods, and computer-readable storage devices for crowd-sourced data labeling. The system requests a respective response from each of a set of entities. The set of entities includes crowd workers. Next, the system incrementally receives a number of responses from the set of entities until one of an accuracy threshold is reached and m responses are received, wherein the accuracy threshold is based on characteristics of the number of responses. Finally, the system generates an output response based on the number of responses.
    Type: Grant
    Filed: December 9, 2016
    Date of Patent: July 23, 2019
    Assignee: AT&T INTELLECTUAL PROPERTY I, L.P.
    Inventors: Jason Williams, Tirso Alonso, Barbara B. Hollister, Ilya Dan Melamed
  • Publication number: 20170092261
    Abstract: Systems, methods, and computer-readable storage devices for crowd-sourced data labeling. The system requests a respective response from each of a set of entities. The set of entities includes crowd workers. Next, the system incrementally receives a number of responses from the set of entities until one of an accuracy threshold is reached and m responses are received, wherein the accuracy threshold is based on characteristics of the number of responses. Finally, the system generates an output response based on the number of responses.
    Type: Application
    Filed: December 9, 2016
    Publication date: March 30, 2017
    Inventors: Jason Williams, Tirso Alonso, Barbara Hollister, Dan Melamed
  • Patent number: 9536517
    Abstract: Systems, methods, and computer-readable storage devices for crowd-sourced data labeling. The system requests a respective response from each of a set of entities. The set of entities includes crowd workers. Next, the system incrementally receives a number of responses from the set of entities until one of an accuracy threshold is reached and m responses are received, wherein the accuracy threshold is based on characteristics of the number of responses. Finally, the system generates an output response based on the number of responses.
    Type: Grant
    Filed: November 18, 2011
    Date of Patent: January 3, 2017
    Assignee: AT&T Intellectual Property I, L.P.
    Inventors: Jason Williams, Tirso Alonso, Barbara B. Hollister, Ilya Dan Melamed
  • Publication number: 20130132080
    Abstract: Disclosed herein are systems, methods, and non-transitory computer-readable storage media for crowd-sourced data labeling. The system requests a respective response from each of a set of entities. The set of entities includes crowd workers. Next, the system incrementally receives a number of responses from the set of entities until at least one of an accuracy threshold is reached and m responses are received, wherein the accuracy threshold is based on characteristics of the number of responses. Finally, the system generates an output response based on the number of responses.
    Type: Application
    Filed: November 18, 2011
    Publication date: May 23, 2013
    Applicant: AT&T Intellectual Property I, L.P.
    Inventors: Jason Williams, Tirso Alonso, Barbara B. Hollister, Ilya Dan Melamed