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GECCO
2000
Springer
123views Optimization» more  GECCO 2000»
15 years 5 months ago
Genomic computing: explanatory modelling for functional genomics
Many newly discovered genes are of unknown function. DNA microarrays are a method for determining the expression levels of all genes in an organism for which a complete genome seq...
Richard J. Gilbert, Jem J. Rowland, Douglas B. Kel...
ISBI
2008
IEEE
15 years 8 months ago
Examining associations between FMRI and EEG data using canonical correlation analysis
Functional magnetic resonance imaging (fMRI) and electroencephalography (EEG) provide complementary information about the brain function. We propose a novel scheme to examine asso...
Nicolle M. Correa, Yi-Ou Li, Tülay Adali, Vin...
SAC
2006
ACM
15 years 7 months ago
Building the functional performance model of a processor
In this paper, we present an efficient procedure for building a piecewise linear function approximation of the speed function of a processor with hierarchical memory structure. Th...
Alexey L. Lastovetsky, Ravi Reddy, Robert Higgins
CDC
2008
IEEE
144views Control Systems» more  CDC 2008»
15 years 8 months ago
Control software model checking using bisimulation functions for nonlinear systems
— This paper extends a method for integrating source-code model checking with dynamic system analysis to verify properties of controllers for nonlinear dynamic systems. Source-co...
James Kapinski, Alexandre Donzé, Flavio Ler...
IPMI
2003
Springer
16 years 2 months ago
Analysis of Event-Related fMRI Data Using Best Clustering Bases
We explore a new paradigm for the analysis of event-related functional magnetic resonance images (fMRI) of brain activity. We regard the fMRI data as a very large set of time serie...
François G. Meyer, Jatuporn Chinrungrueng