In this paper we present the Dynamic Grow-Shrink Inference-based Markov network learning algorithm (abbreviated DGSIMN), which improves on GSIMN, the state-ofthe-art algorithm for...
This paper presents FOXP (computer FOrensic eXPerience), an open source project to support network Live Digital Forensics (LDF), where the network nodes run a Windows NT family Ope...
Roberto Battistoni, Alessandro Di Biagio, Roberto ...
Scientific workflows in Life Sciences are usually complex, and use many online databases, analysis tools, publication repositories and customized computation intensive desktop sof...
Abstract. We consider a fixed, undirected, known network and a number of "mobile agents" which can traverse the network in synchronized steps. Some nodes in the network m...
We analyze several distributed, continuous time protocols for a fair allocation of bandwidths to flows in a network (or resources to agents). Our protocols converge to an allocati...