Capital One Services, LLC

Michael Bakr Mossoba

Joshua S Edwards

Abdelkader M'Hamed Benkreira

Salik Shah

Abdelkader Benkreira

Sarah Jane Cunningham

Latika Gulati

Sophie Bermudez

Tyler Maiman

Colin Hart

Kaitlin J Newman

Jeffrey Rule

Alexandra Colevas

Wayne David Lutz

Ljubica Chatman

Lara Mossler

Charles Nathan Crank

Kimberly Haynes

Andrew Cogswell

Daniel John Marsch

Jason Ji

Carlos Eduardo Rodriguez

Bryant Alan Yee

Abdelkadar M'Hamed Benkreira

Cruz Vargas

Alexander Lin

Aysu Ezen Can

Abdelkader M'hamed Benkreira

Mia Rodriguez

Feng Qiu

Guadalupe Bonilla

Meredith Leigh Critzer

Mark Rothbaum

Kevin Grant Osborn

Austen Novis

Vahid Khanagha

Adam Vukich

Lea Cody

Carrie Norman

Abdelkadar M'hamed Benkreira

Rajko Ilincic

Lukiih Cuan

Timur Sherif

James M Ashfield

William Carroll

Melissa Yoemans Heng

Dan Lin

Gaurang J Bhatt

Max Miracolo

Jerry Wagner

Daniel Herrington

Robert T Perry

Kyle Rankin Johnson

Kaylyn S Gibilterra

Asher Smith-Rose

Kevan Emmott

Leeyat Bracha Tessler

Abhay Donthi

Shannon Yogerst

Matthew Carson

Austin Erickson

Hazar Alsahnawi

Abdelkader M′Hamed Benkreira

Natasha Mitchko

Sossena Negussie

John E Jones, Iv

Abdelkadar M′Hamed Benkreira

Trinity D Moon

Myka Cooper

Lin Ni Lisa Cheng

Mykhaylo Bulgakov

Phoebe Atkins

Lesley Newton

Michelle S Olenoski

Sarvani Kare

Brian McClanahan

Louis Buell

Cara Weikel

Lauren Fox

Alice Hong

Zoe Fisch

Rosa Milani

Ryan Christopher Farber

Ashley Zywusko

Kimberley Tamara Lockett

Noel Lyles

Abdelkader M Benkreira

Abdelkader M Hamed Benkreira

Abdelkadar M Hamed Benkreira

Systems and methods of the present disclosure enable automated identification of restrictions on reversals of data entries by receiving location data from a computing device associated with a user, and utilizing a data profile classification machine learning model to classify a particular data profile according to a data profile classification type based at least in part on a history of data entries associated with the particular data profile when the physical location is within a predetermined proximity of another physical location associated with the particular data profile. A reversal rate of data entries in the history of data entries is determined for the particular data profile. An electronic activity reversal restriction is determined where the reversal rate is below a predetermined value, and a pop-up notification is presented on the computing device notifying the user of the electronic activity reversal restriction of the particular data profile.

Computer-based systems configured for identifying restricted reversals of operations in data entry and methods of use thereof

A card for storing both emergency information and payment information is disclosed. The card can be used by an emergency responder to retrieve emergency information for the user. The emergency information can enable the emergency responder to better render aid to the user. The card can have one or more processors, a sensor, and a memory in communication with the one or more processors and storing an application thereon. The application can cause the card to receive a request from a user device (e.g., from an emergency medical technician, or EMT) to access emergency information stored in the memory, transmit a security challenge to the user device, authenticate a received response to the security challenge from the user device, and transmit the emergency information to the user device.

Devices and methods for providing emergency information using a payment card

A system may include processor(s), and memory in communication with the processor(s) and storing instructions configured to cause the system to correct ASR errors. The system may receive a transcription comprising transcribed word(s) and may determine whether the transcribed word(s) exceed associated predefined confidence level(s). Responsive to determining a transcribed word does not exceed a predefined confidence level, the system may generate a predicted word. The system may calculate a distance between numerical representations of the transcribed word and the predicted word and may determine whether the distance exceeds a predefined threshold. Responsive to determining the distance exceeds the predefined threshold, the system may determine whether at least one red flag word of a list of red flag words corresponds to a context of the transcription, and, responsive to making that determination, may classify the transcription as associated with a first category.

Systems and methods for correcting automatic speech recognition errors

Systems and methods for preventing blockchain functions associated with malicious entities are disclosed herein. A first blockchain status update may be received from a first authorizing entity. A first counter and a first plurality of authorizing entities can be determined. The first counter and the first plurality of authorizing entities can be updated. The first counter can be compared to a consensus threshold. A first instruction to block requests for communications to the first entity address can be generated. A confirmation of the first instruction can be generated for display.

Systems and methods for preventing communications with malicious cryptography-based storage application addresses using consensus

A device may receive customer data, and store the customer data in a secure memory device of the device. The device may implement a backup mode in which the device utilizes the customer data to authorize requests based on determining that the device lacks a network connection. The device may receive, when the device is in the backup mode, a request for currency that includes authentication information. The device, while in the backup mode, may authorize the request for currency based on comparing the authentication information and the customer data. The device may dispense currency based on a result of comparing the authentication information and the customer data. The device may store transaction data associated with dispensing of the currency to permit the transaction data to be transmitted when the network connection is restored.

Automated teller machines (ATMs) having offline functionality

In some implementations, a device may obtain event data relating to events involving one or more entities and one or more individuals, where the one or more entities are associated with entity categories. The device may determine, based on origin locations of the one or more individuals and locations of the one or more entities, distances between the origin locations of the one or more individuals and the locations of the one or more entities, the distances indicating travel distances of the one or more individuals to perform exchanges in the entity categories associated with the one or more entities. The device may determine, based on the event data and the distances, that a geographic area is associated with an opportunity for an entity category. The device may transmit a notification indicating the opportunity for the entity category in the geographic area.

Machine learning model prediction of an opportunity for an entity category in a geographic area

Disclosed herein are systems and methods for determining whether an automated telephone call has been answered by a particular user, a different person, or a voicemail service. In response to determining that the call has been answered by the user, a different person, or a voicemail service, the systems and methods can output different respective messages, initiate messaging to the user via alternate communication paths, or perform other actions.

Systems for identifying the answering party of an automated voice call

Exemplary systems, methods, and computer-accessible mediums can include, for example, receiving a first location of a user(s) and time information associated with that location, initiating a record for the user(s) based on the location and the time information, receiving a second location of the user(s), where the second location can be in a second bounded area, storing in record, a transaction(s) associated with the user(s) based on the second location, and automatically initiating a single payment for the transaction(s) when the user(s) leaves the first location.

System, method, and computer-accessible medium for geo-fenced zones

Disclosed herein are system, method, and computer program product embodiments for generating an alert to a user for a change between weather conditions. An application can be operated by a processor to perform operations include determining a first weather condition at a geographic location at a first time when a user of the device enters a structure located within the geographic location. In addition, the operations can include, based on information received from the server, predicting a second weather condition at the geographic location at a second time while the user remains in the structure. Afterwards, the operations can include alerting the user for a change between the first and second weather conditions.

Alert a user of a weather change

A device may obtain a notification that a transaction occurred, where the transaction is associated with a financial account of a user, and a merchant. The device may determine that the merchant is associated with providing confirmation messages for transactions, and may process, based on determining that the merchant is associated with providing confirmation messages, one or more messages in a messaging account associated with the user to determine whether the messaging account includes a confirmation message associated with the transaction. The device may determine that the messaging account does not include any confirmation message associated with the transaction, may determine a likelihood that the transaction was unauthorized based on the messaging account not including a confirmation message, and may perform an action associated with the financial account of the user based on the likelihood that the transaction was unauthorized.

Fraud detection based on an analysis of messages in a messaging account

In some embodiments, the present disclosure provides an exemplary method that may include steps of monitoring, a conversation script between a call center agent and a customer; utilizing, a speech-to-text deep machine learning model to transcribe the audio call to text; utilizing, a natural language processing deep machine learning model to map intent mappings of the audio call; utilizing, a similarity measurement model to determine a semantic similarity between predefined intent mappings and the intent mappings of the call audio text; determining, an error based on the semantic similarity in the intent mapping call audio text; determining a training session based on the error.

Computer-based systems configured to monitor a communication session and generate a training session and methods of use thereof

In some implementations, a system may capture audio from a call between a calling device and a called device. The system may filter the captured audio to generate a background audio layer. The system may generate an audio footprint that is a representation of sound in the background audio layer. The system may determine that the audio footprint includes a triggering sound footprint based on one or more audio characteristics of the audio footprint. The system may detect synthetic sound based on the audio footprint and after determining that the audio footprint includes the triggering sound footprint, wherein the synthetic sound is indicative of a sound recording. The system may transmit a notification to one or more devices associated with the call based on detecting the synthetic sound.

Detecting synthetic sounds in call audio

Scroll-based automatic field completion is disclosed. A page displayed by a web browser can be monitored for empty fields as the page is scrolled. Automatic fill or completion of the empty field can be triggered in response to a request to scroll down based on the location of the empty field on the page. Automatic completion can involve determining a type of data associated with the field and retrieving user data of the type from a data store. A machine learning model can also be invoked to predict a user's preference for multiple completion options. Further, automatic refill of a completed field with different information can be initiated in response to a scroll up and the location of the field on the page.

Scroll-based automatic field completion

In some implementations, a device may receive, from the gaming program, account information for a card associated with an account of a user. The device may receive, via a user interface provided by the gaming program, customization information associated with the card, wherein the customization information includes at least one of: one or more features supported by the card, or one or more design elements to be included on the card. The device may generate a virtual card, associated with the card, based on the customization information. The device may cause the virtual card to be available for display and to be used to perform exchanges in the gaming program or other gaming programs. The device may transmit information associated with the customization information to cause the card to be manufactured or printed according to the customization information.

Card customization via a gaming console

In some embodiments, validation of network operations related to use of a token via a token request based on entity characteristics may be facilitated. In some embodiments, a token request indicating use of a token to access an item associated with an entity may be detected, where the token is bound to one or more entity characteristics. Based on the token request, an entity identifier associated with the entity may be obtained. Using the entity identifier, one or more item characteristics of items available via the entity may be determined. Determining whether the entity satisfies the one or more entity characteristic to which the token is bound may be determined based on the one or more item characteristics. Access to the item associated with the entity may be validated based on the determination indicating that the entity satisfies the one or more entity characteristics to which the token is bound.

Systems and methods for validating network operations related to use of a token via a token request based on entity characteristics

Growing community of inventors

Arlington, VA, United States of America

Michael Bakr Mossoba