In this work we present and discuss in detail a novel vector-valued regression technique: our approach allows for an all-at-once estimation, as opposed to solve a number of scalar...
Luca Baldassarre, Annalisa Barla, Barbara Gianesin...
Recent research on compact genetic algorithms (cGAs) has proposed a number of evolutionary search methods with reduced memory requirements. In cGAs, the evolution of populations is...
Abstract. Embedded assessment leverages the capabilities of pervasive computing to advance early detection of health conditions. In this approach, technologies embedded in the home...
Margaret E. Morris, Stephen S. Intille, Jennifer B...
Information systems require awareness of risks and a good understanding of vulnerabilities and their exploitations. In this paper, we propose a novel approach for the systematic as...
In this paper, we introduce a general framework for microdata and three disclosure risk measures (minimal, maximal and weighted). We classify the attributes from a given microdata...
Traian Marius Truta, Farshad Fotouhi, Daniel C. Ba...