Patents by Inventor Farzaneh KHOSHNEVISAN
Farzaneh KHOSHNEVISAN 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: 11989500Abstract: Aspects of the present disclosure provide techniques for improved automated parsing and display of electronic documents. Embodiments include identifying a set of topics in a first electronic document based on one or more rules related to one or more keywords in the first electronic document. Embodiments include providing one or more inputs to a machine learning model based on the set of topics and a second electronic document related to the first electronic document. Embodiments include receiving, from the machine learning model in response to the one or more inputs, one or more outputs related to formatting the second electronic document for display. Embodiments include generating a formatted version of the first electronic document based on the set of topics and generating a formatted version of the second electronic document based on the one or more outputs.Type: GrantFiled: August 22, 2023Date of Patent: May 21, 2024Assignee: Intuit Inc.Inventors: Zhewen Fan, Farzaneh Khoshnevisan, Byungkyu Kang, Yingxin Wang, Sonia Sharma
-
Publication number: 20240111941Abstract: Aspects of the present disclosure provide techniques for improved automated parsing and display of electronic documents. Embodiments include identifying a set of topics in a first electronic document based on one or more rules related to one or more keywords in the first electronic document. Embodiments include providing one or more inputs to a machine learning model based on the set of topics and a second electronic document related to the first electronic document. Embodiments include receiving, from the machine learning model in response to the one or more inputs, one or more outputs related to formatting the second electronic document for display. Embodiments include generating a formatted version of the first electronic document based on the set of topics and generating a formatted version of the second electronic document based on the one or more outputs.Type: ApplicationFiled: August 22, 2023Publication date: April 4, 2024Inventors: Zhewen FAN, Farzaneh KHOSHNEVISAN, Byungkyu KANG, Yingxin WANG, Sonia SHARMA
-
Patent number: 11886230Abstract: A computer-implemented system and method for predicting and flagging an anomaly entered in a digital form. A server computing device classifies a plurality of data fields of the digital form to identify a set of non-zero value data fields; and obtains an anomaly detection model comprising a statistical tree structure associated with the data field of the digital form. The server computing device receives datasets including a target value of a data field and values of a set of cohorting data features; traverses a statistical tree structure of the anomaly detection model with the target dataset to form a set of target cohorts to determine a target statistic value for the data field; flags the data field value of the target dataset as an anomaly item; and generates one or more confidence scores for a runtime prediction based on one or more variance changes for the data field.Type: GrantFiled: March 6, 2023Date of Patent: January 30, 2024Assignee: INTUIT INC.Inventors: Janani Kalyanam, Zhewen Fan, Byungkyu Kang, Kate Elizabeth Swift-Spong, Shivakumara Narayanaswamy, Farzaneh Khoshnevisan
-
Patent number: 11783112Abstract: Aspects of the present disclosure provide techniques for improved automated parsing and display of electronic documents. Embodiments include identifying a set of topics in a first electronic document based on one or more rules related to one or more keywords in the first electronic document. Embodiments include providing one or more inputs to a machine learning model based on the set of topics and a second electronic document related to the first electronic document. Embodiments include receiving, from the machine learning model in response to the one or more inputs, one or more outputs related to formatting the second electronic document for display. Embodiments include generating a formatted version of the first electronic document based on the set of topics and generating a formatted version of the second electronic document based on the one or more outputs.Type: GrantFiled: September 30, 2022Date of Patent: October 10, 2023Assignee: INTUIT, INC.Inventors: Zhewen Fan, Farzaneh Khoshnevisan, Byungkyu Kang, Yingxin Wang, Sonia Sharma
-
Patent number: 11620274Abstract: A computer-implemented system and method for predicting and flagging an anomaly entered in a digital form. A server computing device classifies a plurality of data fields of the digital form to identify a set of non-zero value data fields; and obtains an anomaly detection model comprising a statistical tree structure associated with the data field of the digital form. The server computing device receives datasets including a target value of a data field and values of a set of cohorting data features; traverses a statistical tree structure of the anomaly detection model with the target dataset to form a set of target cohorts to determine a target statistic value for the data field; flags the data field value of the target dataset as an anomaly item; and generates one or more confidence scores for a runtime prediction based on one or more variance changes for the data field.Type: GrantFiled: April 30, 2021Date of Patent: April 4, 2023Assignee: INTUIT INC.Inventors: Janani Kalyanam, Zhewen Fan, Byungkyu Kang, Kate Elizabeth Swift-Spong, Shivakumara Narayanaswamy, Farzaneh Khoshnevisan
-
Publication number: 20230036688Abstract: A method implements calibrated risk scoring and sampling. Features are extracted from a record. A risk score, associated with the record, is generated from the features using a machine learning model. The record is mapped to a risk bucket using the risk score. The risk bucket may include multiple risk bucket records. The record is selected from the risk bucket records with a sampling threshold corresponding to the risk bucket. A form prepopulated with values from the record is presenting to a client device.Type: ApplicationFiled: July 30, 2021Publication date: February 2, 2023Applicant: Intuit Inc.Inventors: Kate Elizabeth Swift-Spong, Shivakumara Narayanaswamy, Carlos A. Oliveira, Byungkyu Kang, Farzaneh Khoshnevisan, Zhewen Fan, Runhua Zhao, Wan Yu Zhang
-
Publication number: 20220350790Abstract: A computer-implemented system and method for predicting and flagging an anomaly entered in a digital form. A server computing device classifies a plurality of data fields of the digital form to identify a set of non-zero value data fields; and obtains an anomaly detection model comprising a statistical tree structure associated with the data field of the digital form. The server computing device receives datasets including a target value of a data field and values of a set of cohorting data features; traverses a statistical tree structure of the anomaly detection model with the target dataset to form a set of target cohorts to determine a target statistic value for the data field; flags the data field value of the target dataset as an anomaly item; and generates one or more confidence scores for a runtime prediction based on one or more variance changes for the data field.Type: ApplicationFiled: April 30, 2021Publication date: November 3, 2022Applicant: INTUIT INC.Inventors: Janani KALYANAM, Zhewen FAN, Byungkyu KANG, Kate Elizabeth SWIFT-SPONG, Shivakumara NARAYANASWAMY, Farzaneh KHOSHNEVISAN
-
Publication number: 20210049452Abstract: An anomaly detection service executed by a processor may receive multivariate time series data and format the multivariate time series data into a final input shape configured for processing by a generative adversarial network (GAN). The anomaly detection service may generate a residual matrix by applying the final input shape to a generator of the GAN, the residual matrix comprising a plurality of tiles. The anomaly detecting service may score the residual matrix by identifying at least one tile of the plurality of tiles having a value beyond a threshold indicating an anomaly. The processor may perform at least one remedial action for the anomaly in response to the scoring.Type: ApplicationFiled: August 5, 2020Publication date: February 18, 2021Applicant: INTUIT INC.Inventors: Zhewen FAN, Farzaneh KHOSHNEVISAN