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ICASSP
2010
IEEE
15 years 5 months ago
Flexible complex ICA of fMRI data
Data-driven analysis methods, in particular independent component analysis (ICA) has proven quite useful for the analysis of functional magnetic imaging (fMRI) data. In addition, ...
Hualiang Li, Tülay Adali, Nicolle M. Correa, ...
BMCBI
2006
130views more  BMCBI 2006»
15 years 6 months ago
CARMA: A platform for analyzing microarray datasets that incorporate replicate measures
Background: The incorporation of statistical models that account for experimental variability provides a necessary framework for the interpretation of microarray data. A robust ex...
Kevin A. Greer, Matthew R. McReynolds, Heddwen L. ...
POPL
2009
ACM
16 years 7 months ago
A cost semantics for self-adjusting computation
Self-adjusting computation is an evaluation model in which programs can respond efficiently to small changes to their input data by using a change-propagation mechanism that updat...
Ruy Ley-Wild, Umut A. Acar, Matthew Fluet
ICST
2009
IEEE
16 years 1 months ago
Predicting Attack-prone Components
GEGICK, MICHAEL CHARLES. Predicting Attack-prone Components with Source Code Static Analyzers. (Under the direction of Laurie Williams). No single vulnerability detection techniqu...
Michael Gegick, Pete Rotella, Laurie A. Williams
SASO
2007
IEEE
16 years 1 months ago
Novel Mathematics-Inspired Algorithms for Self-Adaptive Peer-to-Peer Computing
This paper describes, and evaluates benefits of, a design methodology to translate certain mathematical models into the design of novel, self-adaptive, peer-to-peer (p2p) distrib...
Steven Y. Ko, Indranil Gupta, Yookyung Jo