Patents by Inventor Mariana Rodrigues Lourenço

Mariana Rodrigues Lourenço 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: 20230325154
    Abstract: In various embodiments, a process for constrained decoding and ranking of language models for code generation includes receiving a natural language input specifying a desired computer task. The process includes using a machine learning trained converter to convert the natural language input to an output in a computer language, including by, based on a specified grammar for the computer language, limiting eligible options for a token to include in the output in the computer language. The process includes providing the output in the computer language for computer execution.
    Type: Application
    Filed: June 15, 2023
    Publication date: October 12, 2023
    Inventors: Samuel David Pelaio Arcadinho, João Pedro Gonçalves Lages, João Pedro Nunes Nadkarni, Mariana Rodrigues Lourenço, Ana Sofia Aparício da Costa, David Oliveira Aparício, António Manuel de Carvalho dos Santos Alegria, Paulo Jorge Abreu Duarte Ferreira, Catarina Pina de Almeida Coelho, Ângelo Filipe da Silva dos Santos, Hugo Miguel Ferrão Casal da Veiga, Magda Almeida Lopes Pereira
  • Patent number: 11726750
    Abstract: In various embodiments, a process for constrained decoding and ranking of language models for code generation includes receiving a natural language input specifying a desired computer task. The process includes using a machine learning trained converter to convert the natural language input to an output in a computer language, including by, based on a specified grammar for the computer language, limiting eligible options for a token to include in the output in the computer language. The process includes providing the output in the computer language for computer execution.
    Type: Grant
    Filed: November 15, 2022
    Date of Patent: August 15, 2023
    Inventors: Samuel David Pelaio Arcadinho, Joäo Pedro Gonçalves Lages, Joäo Pedro Nunes Nadkarni, Mariana Rodrigues Lourenço, Ana Sofia Aparicio da Costa, David Oliveira Aparício, António Manuel de Carvalho dos Santos Alegria, Paulo Jorge Abreu Duarte Ferreira, Catarina Pina de Almeida Coelho, Ângelo Filipe da Silva dos Santos, Hugo Miguel Ferrão Casal da Veiga, Magda Almeida Lopes Pereira
  • Patent number: 11636487
    Abstract: In an embodiment, a process for graph decomposition includes initializing nodes and edges of a data graph for analysis using a computer, and performing message passing between at least a portion of the nodes of the data graph to determine a corresponding measure of interest for each node of at least a portion of the data graph. The process further includes receiving an identification of one or more nodes of interest in the data graph, performing message passing between at least a portion of the nodes of the data graph using at least the determined measures of interest to identify a corresponding subgraph of interest for each of the one or more nodes of interest in the data graph, and performing an analysis action using the one or more identified subgraphs of interest.
    Type: Grant
    Filed: October 14, 2020
    Date of Patent: April 25, 2023
    Inventors: Maria Inês Silva, David Oliveira Aparício, Pedro Gustavo Santos Rodrigues Bizarro, João Tiago Barriga Negra Ascensão, Rodolfo Cristóvão, Miguel Ramos de Araújo, Maria Beatriz Malveiro Jorge, Mariana Rodrigues Lourenço, Sandro Daniel Sabudin Nunes
  • Patent number: 11062316
    Abstract: Computer memory management during real-time fraudulent transaction analysis is disclosed. In an embodiment, a method includes receiving a transaction entry and determining whether the transaction entry is potentially fraudulent, including by determining whether the transaction entry is correlated with another transaction entry in the computer memory or an already-identified suspicious pattern of other transaction entries. The method further includes determining whether to evict the transaction entry from the computer memory based on the determination of whether the transaction entry is potentially fraudulent. The method includes providing a result of fraudulent transaction analysis performed using the computer memory that has been optimized.
    Type: Grant
    Filed: August 13, 2018
    Date of Patent: July 13, 2021
    Assignee: Feedzai—Consultadoria e Inovaçâo Tecnológica, S.A.
    Inventors: Pedro Gustavo Santos Rodrigues Bizarro, Mariana Rodrigues Lourenço
  • Publication number: 20210117978
    Abstract: In an embodiment, a process for graph decomposition includes initializing nodes and edges of a data graph for analysis using a computer, and performing message passing between at least a portion of the nodes of the data graph to determine a corresponding measure of interest for each node of at least a portion of the data graph. The process further includes receiving an identification of one or more nodes of interest in the data graph, performing message passing between at least a portion of the nodes of the data graph using at least the determined measures of interest to identify a corresponding subgraph of interest for each of the one or more nodes of interest in the data graph, and performing an analysis action using the one or more identified subgraphs of interest.
    Type: Application
    Filed: October 14, 2020
    Publication date: April 22, 2021
    Inventors: Maria Inês Silva, David Oliveira Aparício, Pedro Gustavo Santos Rodrigues Bizarro, João Tiago Barriga Negra Ascensão, Rodolfo Cristóvão, Miguel Ramos de Araújo, Maria Beatriz Malveiro Jorge, Mariana Rodrigues Lourenço, Sandro Daniel Sabudin Nunes
  • Publication number: 20190066111
    Abstract: Computer memory management during real-time fraudulent transaction analysis is disclosed. In an embodiment, a method includes receiving a transaction entry and determining whether the transaction entry is potentially fraudulent, including by determining whether the transaction entry is correlated with another transaction entry in the computer memory or an already-identified suspicious pattern of other transaction entries. The method further includes determining whether to evict the transaction entry from the computer memory based on the determination of whether the transaction entry is potentially fraudulent. The method includes providing a result of fraudulent transaction analysis performed using the computer memory that has been optimized.
    Type: Application
    Filed: August 13, 2018
    Publication date: February 28, 2019
    Inventors: Pedro Gustavo Santos Rodrigues Bizarro, Mariana Rodrigues Lourenço