Electronic health record is an important source for clinical researches and applications, and errors inevitably occur in the data, which could lead to severe damages to both patients and hospital services.
First of all, based on the characteristics of shilling attack quickness (Attackers inject a large number of fake profiles in a short period in order to save costs), we use dynamic time interval method to divide the rating history of item into multiple time windows.
The training stage is performed using only videos of normal events and the model is then capable to estimate frame-level scores for an unknown input.
One-class learning is the classic problem of fitting a model to data for which annotations are available only for a single class.
Resting-state functional MRI (rs-fMRI) is a rich imaging modality that captures spontaneous brain activity patterns, revealing clues about the connectomic organization of the human brain.
SpecAE leverages Laplacian sharpening to amplify the distances between representations of anomalies and the ones of the majority.