In this paper, we focus on the use of context-aware, collaborative filtering, machine-learning techniques that leverage automatically sensed and inferred contextual metadata toget...
Marc Davis, Michael Smith, John F. Canny, Nathan G...
Background: Proteomic profiling using mass spectrometry (MS) is one of the most promising methods for the analysis of complex biological samples such as urine, serum and tissue fo...
David A. Cairns, David N. Perkins, Anthea J. Stanl...
Despite the growing research effort in formal verification, constraint-based random simulation remains an integral part of design validation, especially for large design componen...
Refactoring is a technique for restructuring code to improve its design. A tool for automatically applying refactoring transformations to Ada 95 programs is described. The tool is...
Modern machine learning techniques provide robust approaches for data-driven modeling and critical information extraction, while human experts hold the advantage of possessing hig...