Patents by Inventor Michaël Maes

Michaël Maes 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).

  • Publication number: 20240395245
    Abstract: A system for classifying words in a batch of words can include at least one memory device storing instructions for causing at least one processor to create dictionary vectors for each of a plurality of dictionary words using a neural network (NN), store each dictionary vector along with a classification indicator corresponding to the associated dictionary word, and create word vectors for each word in a batch of words for classification using the NN. The closest matching dictionary vectors are found for each word vector and the classification indicators of the closest matching dictionary vector for each word vector in the batch is reported.
    Type: Application
    Filed: August 5, 2024
    Publication date: November 28, 2024
    Inventors: Michael Tandecki, Michael Maes, Anna Filipiak
  • Patent number: 12057108
    Abstract: A system for classifying words in a batch of words can include at least one memory device storing instructions for causing at least one processor to create dictionary vectors for each of a plurality of dictionary words using a neural network (NN), store each dictionary vector along with a classification indicator corresponding to the associated dictionary word, and create word vectors for each word in a batch of words for classification using the NN. The closest matching dictionary vectors are found for each word vector and the classification indicators of the closest matching dictionary vector for each word vector in the batch is reported.
    Type: Grant
    Filed: October 15, 2020
    Date of Patent: August 6, 2024
    Assignee: Collibra Belgium BV
    Inventors: Michael Tandecki, Michael Maes, Anna Filipiak
  • Publication number: 20210319785
    Abstract: A system for classifying words in a batch of words can include at least one memory device storing instructions for causing at least one processor to create dictionary vectors for each of a plurality of dictionary words using a neural network (NN), store each dictionary vector along with a classification indicator corresponding to the associated dictionary word, and create word vectors for each word in a batch of words for classification using the NN. The closest matching dictionary vectors are found for each word vector and the classification indicators of the closest matching dictionary vector for each word vector in the batch is reported.
    Type: Application
    Filed: October 15, 2020
    Publication date: October 14, 2021
    Inventors: Michael Tandecki, Michael Maes, Anna Filipiak
  • Patent number: 11138477
    Abstract: The present disclosure relates to methods and systems to classify data. A set of classification modules may inspect received data and identify proposed classifications for confidence values for the received data. An aggregation module may receive and aggregate the proposed classifications and confidence values. Based on the aggregated proposed classifications and the confidence values, the aggregation module may generate a final classification for the received data. An external device may perform an action with respect to the received data based on the final classification associated with the data. The action performed may include maintaining the data such that the data may be retrieved upon receipt a request for the data. Any of the classification modules and the aggregation module may be based on training data that may be utilized in subsequent iterations of classifying data to increase classification accuracy.
    Type: Grant
    Filed: August 15, 2019
    Date of Patent: October 5, 2021
    Assignee: COLLIBRA NV
    Inventors: Michael Tandecki, Michael Maes, Gretel De Paepe, Anna Filipiak
  • Publication number: 20210049421
    Abstract: The present disclosure relates to methods and systems to classify data. A set of classification modules may inspect received data and identify proposed classifications for confidence values for the received data. An aggregation module may receive and aggregate the proposed classifications and confidence values. Based on the aggregated proposed classifications and the confidence values, the aggregation module may generate a final classification for the received data. An external device may perform an action with respect to the received data based on the final classification associated with the data. The action performed may include maintaining the data such that the data may be retrieved upon receipt a request for the data. Any of the classification modules and the aggregation module may be based on training data that may be utilized in subsequent iterations of classifying data to increase classification accuracy.
    Type: Application
    Filed: August 15, 2019
    Publication date: February 18, 2021
    Inventors: Michael TANDECKI, Michael MAES, Gretel DE PAEPE, Anna FILIPIAK
  • Patent number: 5000938
    Abstract: A compound of small amounts of skin protectants and a relatively large amount of deionized water in a lightweight cellular foam or froth resulting from the introduction of gas bubbles during manufacture enables the small amounts of protectants to penetrate the surface of the skin and form an active protective film in the upper layers of the epidermis so as to provide a barrier between the skin surface and the sensitive lower layers of the epidermis. An optimum degree of protection of the skin results from the penetration of the small amounts of the ingredients of the compound which includes propylene glycol, glycerine, sorbitol, stearin, mineral oil, polydimethylsiloxane, sorbitan monostearate, POE sorbitan monostearate, triethanlomaine, and a perfume oil in a combined total of 20% or less of the compound and 80% or more deionized water.
    Type: Grant
    Filed: July 7, 1989
    Date of Patent: March 19, 1991
    Assignee: Innovatec S.A.
    Inventors: Jean M. De Boeck, Michael Maes
  • Patent number: D999567
    Type: Grant
    Filed: November 30, 2021
    Date of Patent: September 26, 2023
    Inventor: Michaël Maes