15 citations · 24 across the 10 of their papers we have counts for
10 papers
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…
CFOF: A Concentration Free Measure for Anomaly Detection
Fabrizio Angiulli
We present a novel notion of outlier, called the Concentration Free Outlier Factor, or CFOF. As a main contribution, we formalize the notion of concentration of outlier scores and…
Exploiting n-gram location for intrusion detection
Fabrizio Angiulli, Luciano Argento, Angelo Furfaro
Signature-based and protocol-based intrusion detection systems (IDS) are employed as means to reveal content-based network attacks. Such systems have proven to be effective in iden…
On the Tractability of Minimal Model Computation for Some CNF Theories
Fabrizio Angiulli, Rachel Ben-Eliyahu-Zohary, Fabio Fassetti +1
Designing algorithms capable of efficiently constructing minimal models of CNFs is an important task in AI. This paper provides new results along this research line and presents ne…
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…
Outlier detection in default logics: the tractability/intractability frontier
F. Angiulli, R. Ben-Eliyahu-Zohary, L. Palopoli
In default theories, outliers denote sets of literals featuring unexpected properties. In previous papers, we have defined outliers in default logics and investigated their formal…