Deep-layer machine learning architectures continue to emerge as a promising biologically-inspired framework for achieving scalable perception in artificial agents. State inference ...
Today's networks discriminate towards or against traffic for a wide range of reasons, and in response end users and their applications increasingly attempt to evade monitorin...
Chitra Muthukrishnan, Vern Paxson, Mark Allman, Ad...
We introduce and describe a novel network simulation tool called NeSSi (Network Security Simulator). NeSSi incorporates a variety of features relevant to network security distingu...
We present a novel framework to estimate protein-protein (PPI) and domain-domain (DDI) interactions based on a belief propagation estimation method that efficiently computes inter...
Faruck Morcos, Marcin Sikora, Mark S. Alber, Dale ...
This study addresses a long-standing and wellrecognized problem in KM research, namely the lack of conceptual integration and a cumulative tradition. Knowledge management needs an...