Word vector embeddings have been shown to contain and amplify biases in the data they
are extracted from. Consequently, many techniques have been proposed to identify …

Sequential tabular data is one of the most commonly used data types in real-world
applications. Different from conventional tabular data, where rows in a table are …

Numerous algorithms have been developed for online product rating prediction, but the
specific influence of user and product information in determining the final prediction score …

Word vector embeddings have been shown to contain and amplify biases in data they are
extracted from. Consequently, many techniques have been proposed to identify, mitigate …

Predicting metrics associated with entities' transnational behavior within payment
processing networks is essential for system monitoring. Multivariate time series, aggregated …

Using a newly developed model to upgrade a legacy model is a common practice in
machine learning applications. After the upgrade, it is expected that the new model should …

Anomaly detection and filtering based on system logs is provided via receiving, at a first
time, a first sequence of log entries from a networked system; generating, based on …

A system performs operations that include receiving a request to process a current payment
transaction between a payment provider and a user having a user account with the payment …

A detection modeling system performs a distribution analysis to alert to model degradation.
The detection modeling system may have a distribution analysis module configured to …

There are disclosed devices, system and methods for predicting a likelihood of whether
digital video ads will start on a given user device using a predictive model of the user device …