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AssigneeActimize Ltd.
InventorsSunny THOLAR, Ankur PALIWAL, Amol KOKATE
Estimating the term…
A computerized system and method for fraud detection, including: generating, using a machine learning model, a verbal description of features of an input data item, computing, by an internal layer of the machine learning model, a numerical representation for the generated verbal description, and determining a probability of fraud for the input data item using reference representations. In some embodiments, probabilities of fraud may be used as features in elaborate computerized fraud prediction frameworks—where a second machine learning model (e.g., separate and distinct from the model used for generating verbal descriptions or numerical representations of input data items), may be trained and used for predicting final fraud probabilities based on a wide variety of features.
A method for computerized fraud detection using a machine learning model, the method comprising, using one or more computer processors:
A computerized system for fraud detection using a machine learning model, the system comprising:
A method for computerized anomaly detection, the method comprising, using one or more computer processors:
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