- Patent Title: Interleaved sequence recurrent neural networks for fraud detection
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Application No.: US17174046Application Date: 2021-02-11
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Publication No.: US11989643B2Publication Date: 2024-05-21
- Inventor: Bernardo José Amaral Nunes de Almeida Branco , Pedro Caldeira Abreu , Ana Sofia Leal Gomes , Mariana S. C. Almeida , João Tiago Barriga Negra Ascensão , Pedro Gustavo Santos Rodrigues Bizarro
- Applicant: Feedzai—Consultadoria e Inovação Tecnológica, S.A.
- Applicant Address: PT Coimbra
- Assignee: Feedzai—Consultadoria e Inovação Tecnológica, S.A.
- Current Assignee: Feedzai—Consultadoria e Inovação Tecnológica, S.A.
- Current Assignee Address: PT
- Agency: Van Pelt, Yi & James LLP
- Main IPC: G06Q40/12
- IPC: G06Q40/12 ; G06F7/08 ; G06F16/23 ; G06F16/27 ; G06N3/042 ; G06N3/044 ; G06N3/045 ; G06N3/063 ; G06N3/08 ; G06Q20/40

Abstract:
A process for handling interleaved sequences using RNNs includes receiving data of a first transaction, retrieving a first state (e.g., a default or a saved RNN state for an entity associated with the first transaction), and determining a new second state and a prediction result using the first state and an input data based on the first transaction. The process includes updating the saved RNN state for the entity to be the second state. The process includes receiving data of a second transaction, where the second transaction is associated with the same entity as the first transaction. The process unloops an RNN associated with the saved RNN state including by: retrieving the second state, determining a new third state and a prediction result using the second state and an input data based the second transaction, and updating the saved RNN state for the entity to be the third state.
Public/Granted literature
- US20210248448A1 INTERLEAVED SEQUENCE RECURRENT NEURAL NETWORKS FOR FRAUD DETECTION Public/Granted day:2021-08-12
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