Abstract: Systems and methods for automatically applying style characteristics to images. The images may comprise text. Additionally, the images may be synthetically generated. A style template containing information about style characteristics is passed to an extraction module, which extracts that information and thus determines the style characteristics. The style characteristics are then passed to an application module, which also receives an input image. The application module applies the style characteristics to the image, thereby producing an output image in the intended style. The extraction module and the application module may comprise machine learning elements. The output image may be used in later processes, including, among others, in training processes for optical character recognition models.

Abstract: A system for anomaly estimation for a telephonic call is described, receiving a call object including an identifier field associating the call object to a purported user; retrieving a user data object associated with the purported user, and processing the user data object to retrieve one or more vectorized user features associated with the purported user. A neural network processes the one or more vectorized call features and the one or more vectorized user features through a machine learning model.

Abstract: A system for anomaly estimation for a telephonic call is described, receiving a call object including an identifier field associating the call object to a purported user; retrieving a user data object associated with the purported user, and processing the user data object to retrieve one or more vectorized user features associated with the purported user. A neural network processes the one or more vectorized call features and the one or more vectorized user features through a machine learning model.