Patents by Inventor Maria ZATSEPIN

Maria ZATSEPIN 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: 12141806
    Abstract: A risk-prediction-preparation module to generate a risk-prediction-model, is provided herein. The risk-prediction-preparation module includes accessing a data-storage of transactions to operate a group-by operation on transactions related to data-points, according to a logical-entity into entities. Then, clustering entities of a clean-financial dataset into clusters. Selecting data-points of: (a) entities from the clusters to a first dataset and (b) a preconfigured amount of entities randomly to a second dataset. Selecting all entities that have at least one ‘fraudulent’ data-points in at least one related data-point to add all the entities to the first dataset and the second dataset. Using vectorized and scaled extracted features for training a first machine-learning-model of fraud detection on the first dataset and training a second machine-learning-model of fraud detection on the second dataset to collect results.
    Type: Grant
    Filed: May 30, 2021
    Date of Patent: November 12, 2024
    Assignee: ACTIMIZE LTD.
    Inventors: Danny Butvinik, Maria Zatsepin, Yoav Avneon
  • Publication number: 20220383322
    Abstract: A risk-prediction-preparation module to generate a risk-prediction-model, is provided herein. The risk-prediction-preparation module includes accessing a data-storage of transactions to operate a group-by operation on transactions related to data-points, according to a logical-entity into entities. Then, clustering entities of a clean-financial dataset into clusters. Selecting data-points of: (a) entities from the clusters to a first dataset and (b) a preconfigured amount of entities randomly to a second dataset. Selecting all entities that have at least one ‘fraudulent’ data-points in at least one related data-point to add all the entities to the first dataset and the second dataset. Using vectorized and scaled extracted features for training a first machine-learning-model of fraud detection on the first dataset and training a second machine-learning-model of fraud detection on the second dataset to collect results.
    Type: Application
    Filed: May 30, 2021
    Publication date: December 1, 2022
    Inventors: Danny BUTVINIK, Maria ZATSEPIN, Yoav AVNEON
  • Patent number: 11104677
    Abstract: A method of preventing or treating a disease characterized by an excessive immune response in a subject in need thereof is provided. The method includes administering to the subject a composition including an active component, wherein the active component is a first compound, a second compound, a third compound, a pharmaceutically acceptable salt thereof, a solvate thereof, or a combination thereof, wherein the first, second, and third compounds include: respectively.
    Type: Grant
    Filed: October 21, 2019
    Date of Patent: August 31, 2021
    Assignees: FRAUNHOFER-GESELLSCHAFT ZUR FÖRDERUNG DER ANGEWANDTEN FORSCHUNG E.V., YISSUM RESEARCH DEVELOPMENT COMPANY OF THE HEBREW UNIVERSITY OF JERUSALEM, LTD.
    Inventors: Anke Burger-Kentischer, Angela Mattes, Maria Zatsepin, Amriam Goldblum
  • Publication number: 20200048252
    Abstract: A method of preventing or treating a disease characterized by an excessive immune response in a subject in need thereof is provided. The method includes administering to the subject a composition including an active component, wherein the active component is a first compound, a second compound, a third compound, a pharmaceutically acceptable salt thereof, a solvate thereof, or a combination thereof, wherein the first, second, and third compounds include: respectively.
    Type: Application
    Filed: October 21, 2019
    Publication date: February 13, 2020
    Applicants: FRAUNHOFER-GESELLSCHAFT ZUR FÖRDERUNG DER ANGEWANDTEN FORSCHUNG E.V., YISSUM RESEARCH DEVELOPMENT COMPANY OF THE HEBREW UNIVERSITY OF JERUSALEM, LTD.
    Inventors: Anke BURGER-KENTISCHER, Angela MATTES, Maria ZATSEPIN, Amriam GOLDBLUM
  • Publication number: 20190106418
    Abstract: The present invention relates to a compound or a pharmaceutically acceptable salt thereof or a solvate thereof or a pharmaceutical composition comprising said compound, a process for obtaining or screening for a toll-like receptor 9 (TLR9) antagonist and a toll-like receptor 9 (TLR9) antagonist or a pharmaceutically acceptable salt thereof or a solvate thereof, preferably being obtainable thereby.
    Type: Application
    Filed: March 24, 2016
    Publication date: April 11, 2019
    Applicants: FRAUNHOFER-GESELLSCHAFT ZUR FÖRDERUNG DER ANGEWAND TEN FORSCHUNG E.V., YISSUM RESEARCH DEVELOPMENT COMPANY OF THE HEBREW UNIVERSITY OF JERUSALEM, LTD.
    Inventors: Anke BURGER-KENTISCHER, Angela MATTES, Maria ZATSEPIN, Amriam GOLDBLUM