Background: Machine-learning tools have gained considerable attention during the last few years for analyzing biological networks for protein function prediction. Kernel methods a...
Functional, instruction-based self-testing of microprocessors has recently emerged as an effective alternative or supplement to other testing approaches, and is progressively adop...
Andreas Apostolakis, Dimitris Gizopoulos, Mihalis ...
Abstract. Functional magnetic resonance (fMRI) data are often corrupted with colored noise. To account for this type of noise, many prewhitening and pre-coloring strategies have be...
As the sizes of general and special purpose processors increase rapidly, generating high quality manufacturing tests for them is becoming a serious problem in industry. This paper...
The Multi-Level Decomposition Diagrams (MLDDs) of this paper are a canonical representation of Boolean functions expliciting disjoint-support decompositions. MLDDs allow the reduc...