-
公开(公告)号：US11687937B1
公开(公告)日：2023-06-27
申请号：US17078744
申请日：2020-10-23
Inventor： Timothy Kramme , Elizabeth A. Flowers , Reena Batra , Miriam Valero , Puneit Dua , Shanna L. Phillips , Russell Ruestman , Bradley A. Craig
CPC classification number: G06Q20/4016 , G06Q20/3224
Abstract: A method of detecting whether electronic fraud alerts are false positives includes receiving data detailing a financial transaction, inputting the data into a rules-based engine that determines whether to generate an electronic fraud alert for the financial transaction based upon the data, and, when an electronic fraud alert is generated, inputting the data into a machine learning program trained to identify one or more facts indicated by the data. The method may also include determining whether the identified facts can be verified by customer data and, in response to determining that the facts can be verified, retrieving or receiving first customer data. The method may further include verifying that the electronic fraud alert is not a false positive based upon analysis of the first customer data, and transmitting the verified electronic fraud alert to a mobile device of the customer to alert the customer to fraudulent activity.
-
公开(公告)号：US11670097B2
公开(公告)日：2023-06-06
申请号：US17509402
申请日：2021-10-25
Inventor： Elizabeth Flowers , Puneit Dua , Eric Balota , Shanna L. Phillips
CPC classification number: G06V20/597 , G06F18/2137 , G06F18/22 , G06V10/32 , G06V10/811 , G06V20/41 , G06V40/168
Abstract: Systems and methods are described for Distification of 3D imagery. A computing device may obtain a three dimensional (3D) image that defines a 3D point cloud used to generate a two dimensional (2D) image matrix. The 2D image matrix may include 2D matrix point(s), where each 2D matrix point can be associated with a horizontal coordinate and a vertical coordinate. The computing device can generate an output feature vector that includes at least one 2D matrix point of the 2D image matrix, and a 3D point in the 3D point cloud of the 3D image. The 3D point in the 3D point cloud is mapped to a coordinate pair comprised of the horizontal coordinate and the vertical coordinate of the at least one 2D matrix point of the 2D image matrix point. The output feature vector is input into a predictive model.
-
公开(公告)号：US20220414761A1
公开(公告)日：2022-12-29
申请号：US17900795
申请日：2022-08-31
Inventor： Elizabeth A. Flowers , Puneit Dua , Eric Balota , Shanna L. Phillips
Abstract: A heuristic engine includes capabilities to collect an unstructured data set, including document image data and correlate the image data with known valid data to detect document fraud. Notifications of fraud detection may include particular signature images, or characteristics of a document image. By feeding back indications of document fraud with correlations to past instances of fraud into the heuristic algorithm, the algorithm may learn and improve in fraud detection accuracy.
-
公开(公告)号：US20220351216A1
公开(公告)日：2022-11-03
申请号：US17745541
申请日：2022-05-16
Inventor： Timothy Kramme , Elizabeth A. Flowers , Reena Batra , Miriam Valero , Puneit Dua , Shanna L. Phillips , Russell Ruestman , Bradley A. Craig
IPC: G06Q30/00 , G06N20/00 , G06Q20/32 , G06Q20/40 , G06Q20/24 , G06Q20/20 , G06N5/04 , G06Q20/10 , G06Q20/34 , G06Q30/02 , G06V30/40 , G06V30/194
Abstract: In a computer-implemented method of using customer data to determine that geolocation-based fraud alerts are false positives, it may be determined that an electronic fraud alert is a geolocation-based alert generated based upon an unexpected or abnormal transaction location. In response, customer data may be obtained from two or more sources via radio frequency links. It may then be determined that the customer data from the sources indicates that a customer is traveling. In response, it may be determined that a customer location indicated by the customer data corresponds to the transaction location. In response to determining that the customer location corresponds to the transaction location, the electronic fraud alert may be marked as a false positive, and the electronic fraud alert may be prevented from being transmitted to a mobile device of the customer, in order to reduce an amount of false positives that are transmitted to customers.
-
公开(公告)号：US11461840B1
公开(公告)日：2022-10-04
申请号：US16897088
申请日：2020-06-09
Inventor： Elizabeth A. Flowers , Puneit Dua , Eric Balota , Shanna L. Phillips
Abstract: A heuristic engine includes capabilities to collect an unstructured data set, including document image data and correlate the image data with known valid data to detect document fraud. Notifications of fraud detection may include particular signature images, or characteristics of a document image. By feeding back indications of document fraud with correlations to past instances of fraud into the heuristic algorithm, the algorithm may learn and improve in fraud detection accuracy.
-
Patent Agency Ranking
公开(公告)号：US11170375B1
公开(公告)日：2021-11-09
申请号：US15465842
申请日：2017-03-22
Inventor： Timothy Kramme , Elizabeth Flowers , Reena Batra , Miriam Valero , Puneit Dua , Shanna L. Phillips , Russell Ruestman , Bradley A. Craig
Abstract: A method of automating a fraud classification process includes generating or updating fraud classification rules, at least by training a machine learning program using fraud classifications of a plurality of financial accounts and financial transaction data associated with those accounts. The method also includes retrieving first financial transaction data associated with a first financial account, and selecting, by applying the fraud classification rules to the first financial transaction data, a first fraud classification. The first fraud classification may be selected from among a plurality of predetermined fraud classifications. The method also includes causing an indication of the first fraud classification to be displayed to one or more people via one or more respective computing device user interfaces, the indication further specifying at least the first financial account.
-
公开(公告)号：US11164091B1
公开(公告)日：2021-11-02
申请号：US15495678
申请日：2017-04-24
Inventor： Elizabeth Flowers , Puneit Dua , Eric Balota , Shanna L. Phillips
Abstract: A heuristic engine includes capabilities to collect an unstructured data set and a set of question and answer sets that allow prediction of a subsequent question by a customer. By improving prediction of a subsequent customer question the heuristic engine may improve the efficiency of customer service interactions. The heuristic engine may improve and learn by providing actual interaction sets with correlations associated with the predicted outcomes.
-
公开(公告)号：US11068754B1
公开(公告)日：2021-07-20
申请号：US16372824
申请日：2019-04-02
Inventor： Elizabeth Flowers , Puneit Dua , Eric Balota , Shanna L. Phillips
Abstract: Systems and methods are described for generating an image-based prediction model, where a computing device may obtain a set of 3D images from a 3D image data source. Each of the 3D images can have 3D point cloud data and a Distification technique can be applied to the 3D point cloud data of each 3D image to generate output feature vector(s). The output feature vector(s) may then be used to train and generate the image-based prediction model.
-
公开(公告)号：US11049109B1
公开(公告)日：2021-06-29
申请号：US16899486
申请日：2020-06-11
Inventor： Timothy Kramme , Elizabeth A. Flowers , Reena Batra , Miriam Valero , Puneit Dua , Shanna L. Phillips , Russell Ruestman , Bradley A. Craig
Abstract: A method of detecting whether electronic fraud alerts are false positives includes receiving data detailing a financial transaction, inputting the data into a rules-based engine that determines whether to generate an electronic fraud alert for the financial transaction based upon the data, and, when an electronic fraud alert is generated, inputting the data into a machine learning program trained to identify one or more facts indicated by the data. The method may also include determining whether the identified facts can be verified by customer data and, in response to determining that the facts can be verified, retrieving or receiving first customer data. The method may further include verifying that the electronic fraud alert is not a false positive based upon analysis of the first customer data, and transmitting the verified electronic fraud alert to a mobile device of the customer to alert the customer to fraudulent activity.
-
公开(公告)号：US10832248B1
公开(公告)日：2020-11-10
申请号：US15465827
申请日：2017-03-22
Inventor： Timothy Kramme , Elizabeth Flowers , Reena Batra , Miriam Valero , Puneit Dua , Shanna L. Phillips , Russell Ruestman , Bradley A. Craig
Abstract: A method of detecting whether electronic fraud alerts are false positives includes receiving data detailing a financial transaction, inputting the data into a rules-based engine that determines whether to generate an electronic fraud alert for the financial transaction based upon the data, and, when an electronic fraud alert is generated, inputting the data into a machine learning program trained to identify one or more facts indicated by the data. The method may also include determining whether the identified facts can be verified by customer data and, in response to determining that the facts can be verified, retrieving or receiving first customer data. The method may further include verifying that the electronic fraud alert is not a false positive based upon analysis of the first customer data, and transmitting the verified electronic fraud alert to a mobile device of the customer to alert the customer to fraudulent activity.
-
-
-
-
-
-
-
-
-
Search Results
93
records
(took 0.031 seconds)
