Nicolas N Lopez

US Patent:

20180211173, Jul 26, 2018

Filed:

Jan 24, 2017

Appl. No.:

15/413618

Inventors:

- Armonk NY, US
John M. Cusick - Harrison NY, US
Shannen B. Lambdin - Morrisville NC, US
Nicolas B. Lopez - Austin TX, US
Anuj Sharma - Saratoga CA, US

International Classification:

G06N 7/00
G06F 17/30
G06N 99/00

Abstract:

A method of machine learning that teaches a computer to determine likelihood that a medical journal article is classified as high value for an intended system. In some embodiments, the method includes procuring, in a medical articles database on the computer, a training set including medical articles recommended by subject matter experts associated with medical journals that have published the medical articles. The method can also include identifying, by a feature extraction controller of the computer, first features in the medical articles via a remote annotation service and a remote article information service. The method can also include identifying, by intended system services electronically available to the intended system, second features in the medical articles. The method can also include reducing, by the feature extraction controller, the first and second features to form a set of relevant features.

US Patent:

20180211174, Jul 26, 2018

Filed:

Jan 24, 2017

Appl. No.:

15/413686

Inventors:

- Armonk NY, US
John M. Cusick - Harrison NY, US
Shannen B. Lambdin - Morrisville NC, US
Nicolas B. Lopez - Austin TX, US
Anuj Sharma - Saratoga CA, US

International Classification:

G06N 7/00
G06F 17/30
G06N 99/00

Abstract:

A method of machine learning that teaches a computer to determine likelihood that a medical journal article is classified as high value for an intended system. In some embodiments, the method includes procuring, in a medical articles database on the computer, a training set including medical articles recommended by subject matter experts associated with medical journals that have published the medical articles. The method can also include identifying, by a feature extraction controller of the computer, first features in the medical articles via a remote annotation service and a remote article information service. The method can also include identifying, by intended system services electronically available to the intended system, second features in the medical articles. The method can also include reducing, by the feature extraction controller, the first and second features to form a set of relevant features.

US Patent:

20180082211, Mar 22, 2018

Filed:

Sep 19, 2016

Appl. No.:

15/269253

Inventors:

- Armonk NY, US
Shannen B. Lambdin - Morrisville NC, US
Nicolas B. Lopez - San Antonio TX, US
Anuj Sharma - Saratoga CA, US

International Classification:

G06N 99/00
G06F 17/30
G06N 5/02

Abstract:

A mechanism is provided in a computing device configured with instructions executing on a processor of the computing device to implement a ground truth generation system for quality assessment scoring of articles in a corpus. The ground truth generation system receives recommendations of a set of recommended articles from subject matter experts. The ground truth generation system identifies a set of non-recommended articles. A topic clustering component within the ground truth generation system performs topic clustering on a combination of the set of recommended articles and the set of non-recommended articles to form a set of topic clusters containing recommended articles and non-recommended articles. The ground truth generation system identifies a first number of recommended articles and a second number of non-recommended articles in each of the set of topic clusters to form a quality assessment training set. The mechanism trains a quality assessment machine learning model using the quality assessment training set.

US Patent:

20180052914, Feb 22, 2018

Filed:

Aug 17, 2016

Appl. No.:

15/239246

Inventors:

- Armonk NY, US
John M. Cusick - Harrison NY, US
Andrew R. Freed - Cary NC, US
Shannen B. Lambdin - Morrisville NC, US
Nicolas B. Lopez - Austin TX, US
Anuj Sharma - Saratoga CA, US

International Classification:

G06F 17/30
G06F 17/27

Abstract:

In an approach to content selection, one or more computer processors receive a first query from a user. The one or more computer processors retrieve a first response for the first query. The one or more computer processors determine whether the first response exceeds a threshold for a policy for content usage associated with the first response, wherein the policy for content usage specifies one or more restrictions for usage of a content asset. In response to determining the first response exceeds the threshold for the policy for content usage, the one or more computer processors select a first subset of the first response to meet the threshold for the policy for content usage. The one or more computer processors send the first subset of the first response to the user.

Address:

24130 Trumbo Rd, San Antonio, TX 78264

Phone:

2106261501

VIN:

1FTRW12W07KC92647

Make:

FORD

Model:

F-150

Year:

2007

Address:

3914 Motes Dr, San Antonio, TX 78237

VIN:

2HGFA55517H706796

Make:

HONDA

Model:

CIVIC

Year:

2007