With the growing importance of time series clustering research, particularly for similarity searches amongst long time series such as those arising in medicine or finance, it is cr...
One aim of Meta-learning techniques is to minimize the time needed for problem solving, and the effort of parameter hand-tuning, by automating algorithm selection. The predictive m...
An access control system is often viewed as a state transition system. Given a set of access control policies, a general safety requirement in such a system is to determine whethe...
The fast-flux service network architecture has been widely adopted by bot herders to increase the productivity and extend the lifespan of botnets’ domain names. A fast-flux bot...
This paper exploits the properties of the commute time between nodes of a graph for the purposes of clustering and embedding, and explores its applications to image segmentation a...