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DETECT a recurrent neural network model built for predicting risk of future psychosis. It was built and trained using de-identified electronic health record data from the IBM Explorys database. DETECT ...
Abstract: Face recognition systems that are commonly used in access control settings are vulnerable to presentation attacks, which pose a significant security risk. Therefore, it is crucial to develop ...
Abstract: Face forgery detection suffers from cross-dataset generalization challenges, where performance degradation occurs due to distribution shifts between training and testing data. Recently, ...