Patents by Inventor Adeel Jamil SIDDIQUI

Adeel Jamil SIDDIQUI 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).

  • Interpreting text classifier results with affiliation and exemplification
    Patent number: 11880660
    Abstract: Technologies relating to model interpretation are described herein. A text classifier is provided with input text and assigns a class to the input text from amongst several possible classes. Based upon the class assigned to the input text by the text classifier, a class profile of a centroidal classifier is selected, where the class profile is constructed based upon numerous input texts to which the text classifier has previously assigned the class. Based upon the selection of the class profile, information that is indicative of operation of the text classifier with respect to the text classifier assigning the class to the input text is output, where the information includes an exemplar text sequence.
    Type: Grant
    Filed: February 22, 2021
    Date of Patent: January 23, 2024
    Assignee: Microsoft Technology Licensing, LLC
    Inventors: Xinjian Xue, Adeel Jamil Siddiqui, Ryan Wang Gao, Jong-Chin Lin, Bin Pan, Naveen Duddi Haribabu, Balaji Ramasubramaniam
  • Computer-implemented exposomic classifier
    Patent number: 11775277
    Abstract: Technologies related to predicting whether a requested change (deployment) in a cloud computing environment will fail are described herein. An exposomic feature value is computed based upon a time series of risk values, where the risk values represent risk of failure over several historic time intervals. A probabilistic model computes a likelihood that the requested deployment will fail during implementation of the requested deployment based upon the exposomic feature value and a contextual feature value, and a notification is transmitted to a computing device of a change manager to allow the change manager to take remedial action.
    Type: Grant
    Filed: June 21, 2021
    Date of Patent: October 3, 2023
    Assignee: MICROSOFT TECHNOLOGY LICENSING, LLC
    Inventors: Xinjian Xue, Bin Pan, Naveen Duddi Haribabu, Prashant Singh Ahluwalia, Ryan Wang Gao, Jong-Chin Lin, Lea Vega Romero, Balaji Ramasubramaniam, Adeel Jamil Siddiqui, Onur Tuna
  • COMPUTER-IMPLEMENTED EXPOSOMIC CLASSIFIER
    Publication number: 20220405077
    Abstract: Technologies related to predicting whether a requested change (deployment) in a cloud computing environment will fail are described herein. An exposomic feature value is computed based upon a time series of risk values, where the risk values represent risk of failure over several historic time intervals. A probabilistic model computes a likelihood that the requested deployment will fail during implementation of the requested deployment based upon the exposomic feature value and a contextual feature value, and a notification is transmitted to a computing device of a change manager to allow the change manager to take remedial action.
    Type: Application
    Filed: June 21, 2021
    Publication date: December 22, 2022
    Inventors: Xinjian XUE, Bin PAN, Naveen Duddi HARIBABU, Prashant Singh AHLUWALIA, Ryan Wang GAO, Jong-Chin LIN, Lea VEGA ROMERO, Balaji RAMASUBRAMANIAM, Adeel Jamil SIDDIQUI, Onur TUNA
  • INTERPRETING TEXT CLASSIFIER RESULTS WITH AFFILIATION AND EXEMPLIFICATION
    Publication number: 20220269864
    Abstract: Technologies relating to model interpretation are described herein. A text classifier is provided with input text and assigns a class to the input text from amongst several possible classes. Based upon the class assigned to the input text by the text classifier, a class profile of a centroidal classifier is selected, where the class profile is constructed based upon numerous input texts to which the text classifier has previously assigned the class. Based upon the selection of the class profile, information that is indicative of operation of the text classifier with respect to the text classifier assigning the class to the input text is output, where the information includes an exemplar text sequence.
    Type: Application
    Filed: February 22, 2021
    Publication date: August 25, 2022
    Inventors: Xinjian XUE, Adeel Jamil SIDDIQUI, Ryan Wang GAO, Jong-Chin LIN, Bin PAN, Naveen Duddi HARIBABU, Balaji RAMASUBRAMANIAM