Most highly accurate predictive modeling techniques produce opaque models. When comprehensible models are required, rule extraction is sometimes used to generate a transparent mod...
Exploiting today’s multiprocessors requires highperformance and correct concurrent systems code (optimising compilers, language runtimes, OS kernels, etc.), which in turn requir...
Susmit Sarkar, Peter Sewell, Jade Alglave, Luc Mar...
Background: The relationship between disease susceptibility and genetic variation is complex, and many different types of data are relevant. We describe a web resource and databas...
Situation Awareness (SA) is the problem of comprehending elements of an environment within a volume of time and space. It is a crucial factor in decision-making in dynamic environm...
Franz Baader, Andreas Bauer 0002, Peter Baumgartne...
Background: Automated protein function prediction methods are the only practical approach for assigning functions to genes obtained from model organisms. Many of the previously re...
Jaehee Jung, Gangman Yi, Serenella A. Sukno, Micha...