Patents by Inventor Hitham A. Assem Aly Salama

Hitham A. Assem Aly Salama 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: 11062230
    Abstract: Embodiments for detecting data anomalies by a processor. A machine learning model may be trained according to collected scores and anomaly labels of a plurality of anomaly detection operations applied to one or more data sets such that the collected scores and labels identify a degree of accuracy of estimating anomalies for each of the plurality of anomaly detection operations. An anomaly may be detected in an unstructured data set by applying the trained machine learning model on an unstructured data set.
    Type: Grant
    Filed: February 28, 2017
    Date of Patent: July 13, 2021
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Hitham A. Assem Aly Salama, Teodora S. Buda, Patrick J. O'Sullivan, Lei Xu
  • Patent number: 10748194
    Abstract: In response to a user-initiated interaction request sent by a user using an electronic communication, subsequent actions performed by other users that received the user-initiated interaction request are analyzed. A determination is made as to whether the subsequent actions performed by the other users that received the user-initiated interaction request correlate to an intended interaction result of the user-initiated interaction request. A visual representation of a collaboration model that correlates probabilities of successful collaborations between the user and the other users is generated in accordance with determined correlations between the subsequent actions performed by the other users and the intended interaction result.
    Type: Grant
    Filed: February 13, 2018
    Date of Patent: August 18, 2020
    Assignee: International Business Machines Corporation
    Inventors: Hitham A. Assem Aly Salama, Al Chakra, Jonathan D. Dunne, Liam S. Harpur
  • Publication number: 20180247220
    Abstract: Embodiments for detecting data anomalies by a processor. A machine learning model may be trained according to collected scores and anomaly labels of a plurality of anomaly detection operations applied to one or more data sets such that the collected scores and labels identify a degree of accuracy of estimating anomalies for each of the plurality of anomaly detection operations. An anomaly may be detected in an unstructured data set by applying the trained machine learning model on an unstructured data set.
    Type: Application
    Filed: February 28, 2017
    Publication date: August 30, 2018
    Applicant: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Hitham A. ASSEM ALY SALAMA, Teodora S. BUDA, Patrick J. O'SULLIVAN, Lei XU
  • Publication number: 20180174204
    Abstract: In response to a user-initiated interaction request sent by a user using an electronic communication, subsequent actions performed by other users that received the user-initiated interaction request are analyzed. A determination is made as to whether the subsequent actions performed by the other users that received the user-initiated interaction request correlate to an intended interaction result of the user-initiated interaction request. A visual representation of a collaboration model that correlates probabilities of successful collaborations between the user and the other users is generated in accordance with determined correlations between the subsequent actions performed by the other users and the intended interaction result.
    Type: Application
    Filed: February 13, 2018
    Publication date: June 21, 2018
    Inventors: Hitham A. Assem Aly Salama, Al Chakra, Jonathan D. Dunne, Liam S. Harpur
  • Patent number: 9916605
    Abstract: In response to a user-initiated interaction request sent by a user using an electronic communication, subsequent actions performed by other users that received the user-initiated interaction request are analyzed. A determination is made as to whether the subsequent actions performed by the other users that received the user-initiated interaction request correlate to an intended interaction result of the user-initiated interaction request. A visual representation of a collaboration model that correlates probabilities of successful collaborations between the user and the other users is generated in accordance with determined correlations between the subsequent actions performed by the other users and the intended interaction result.
    Type: Grant
    Filed: June 27, 2015
    Date of Patent: March 13, 2018
    Assignee: INTERNATIONAL BUSINESS MACHINES CORPORATION
    Inventors: Hitham A. Assem Aly Salama, Al Chakra, Jonathan D. Dunne, Liam S. Harpur
  • Publication number: 20160379129
    Abstract: In response to a user-initiated interaction request sent by a user using an electronic communication, subsequent actions performed by other users that received the user-initiated interaction request are analyzed. A determination is made as to whether the subsequent actions performed by the other users that received the user-initiated interaction request correlate to an intended interaction result of the user-initiated interaction request. A visual representation of a collaboration model that correlates probabilities of successful collaborations between the user and the other users is generated in accordance with determined correlations between the subsequent actions performed by the other users and the intended interaction result.
    Type: Application
    Filed: June 27, 2015
    Publication date: December 29, 2016
    Inventors: Hitham A. Assem Aly Salama, Al Chakra, Jonathan D. Dunne, Liam S. Harpur