7 citations · 8 across the 5 of their papers we have counts for
3 papers · 1 filter
Reconstruction Error-based Anomaly Detection with Few Outlying Examples
Fabrizio Angiulli, Fabio Fassetti, Luca Ferragina
Reconstruction error-based neural architectures constitute a classical deep learning approach to anomaly detection which has shown great performances. It consists in training an Au…
Outlying Property Detection with Numerical Attributes
Fabrizio Angiulli, Fabio Fassetti, Luigi Palopoli +1
The outlying property detection problem is the problem of discovering the properties distinguishing a given object, known in advance to be an outlier in a database, from the other…
Uncertain Nearest Neighbor Classification
Fabrizio Angiulli, Fabio Fassetti
This work deals with the problem of classifying uncertain data. With this aim the Uncertain Nearest Neighbor (UNN) rule is here introduced, which represents the generalization of t…