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CVPR
2005
IEEE
16 years 2 months ago
Machine Learning for Clinical Diagnosis from Functional Magnetic Resonance Imaging
Functional Magnetic Resonance Imaging (fMRI) has enabled scientists to look into the active human brain. FMRI provides a sequence of 3D brain images with intensities representing ...
Lei Zhang 0002, Dimitris Samaras, Dardo Tomasi, No...
VLDB
2007
ACM
164views Database» more  VLDB 2007»
16 years 24 days ago
A new intrusion detection system using support vector machines and hierarchical clustering
Whenever an intrusion occurs, the security and value of a computer system is compromised. Network-based attacks make it difficult for legitimate users to access various network ser...
Latifur Khan, Mamoun Awad, Bhavani M. Thuraisingha...
107
Voted
POPL
2000
ACM
15 years 4 months ago
Modular Refinement of Hierarchic Reactive Machines
with existing analysis tools. Modular reasoning principles such as abstraction, compositional refinement, and assume-guarantee reasoning are well understood for architectural hiera...
Rajeev Alur, Radu Grosu
117
Voted
BMCBI
2010
176views more  BMCBI 2010»
15 years 21 days ago
TargetSpy: a supervised machine learning approach for microRNA target prediction
Background: Virtually all currently available microRNA target site prediction algorithms require the presence of a (conserved) seed match to the 5' end of the microRNA. Recen...
Martin Sturm, Michael Hackenberg, David Langenberg...
120
Voted
CGO
2008
IEEE
15 years 7 months ago
Automatic array inlining in java virtual machines
Array inlining expands the concepts of object inlining to arrays. Groups of objects and arrays that reference each other are placed consecutively in memory so that their relative ...
Christian Wimmer, Hanspeter Mössenböck