In this contribution, we explore the possibilities of learning in large-scale, multimodal processing systems operating under real-world conditions. Using an instance of a large-sca...
Abstract--We explore the idea of applying machine learning techniques to automatically infer risk-adaptive policies to reconfigure a network security architecture when the context ...
We propose a visualization approach for large dynamic graph structures with high degree variation and low diameter. In particular, we reduce visual complexity by multiple modes of ...
— Healthcare and economic drivers have increased the desire to deploy systems for continuous monitoring of patients, both in hospital and outpatient settings. Such systems must o...
Stephen Strowes, Nagwa Badr, Steven Heeps, Emil Lu...
Advances in computer networks that support the invocation of remote services in heterogeneous environments enable new levels of software composition. In order to manage composition...