AODE (Aggregating One-Dependence Estimators) is considered one of the most interesting representatives of the Bayesian classifiers, taking into account not only the low error rate...
In this paper, we present the performance of machine learning-based methods for detection of phishing sites. We employ 9 machine learning techniques including AdaBoost, Bagging, S...
In the last years, the interest for advanced video-based surveillance applications is more and more growing. This is especially true in the field of railway urban transport where ...
Claudio Sacchi, Carlo S. Regazzoni, Gianluca Gera,...
Advances in object detection have made it possible to
collect large databases of certain objects. In this paper we
exploit these datasets for within-object classification. For
e...
Jania Aghajanian, Jonathan Warrell, Simon J.D. Pri...
Abstract— Sensor networks are being increasingly deployed for collecting critical data in various applications. Once deployed, a sensor network may experience faults at the indiv...
Douglas Herbert, Yung-Hsiang Lu, Saurabh Bagchi, Z...