Recommender systems learn about user preferences over time, automatically finding things of similar interest. This reduces the burden of creating explicit queries. Recommender sys...
Background: The rapid publication of important research in the biomedical literature makes it increasingly difficult for researchers to keep current with significant work in their...
This paper presents a data-driven approach for feature selection to address the common problem of dealing with high-dimensional data. This approach is able to handle the real-valu...
In recent years, e-government interoperability frameworks (e-GIFs) and enterprise architectures (EAs) have been extensively developed as mechanism tools for achieving the interope...
In this paper we propose a communication-centric approach to specifying and checking how multithreaded programs use shared memory to perform inter-thread communication. Our approa...
Benjamin P. Wood, Adrian Sampson, Luis Ceze, Dan G...