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BMCBI
2005
155views more  BMCBI 2005»
13 years 7 months ago
Mining protein function from text using term-based support vector machines
Background: Text mining has spurred huge interest in the domain of biology. The goal of the BioCreAtIvE exercise was to evaluate the performance of current text mining systems. We...
Simon B. Rice, Goran Nenadic, Benjamin J. Stapley
ARTMED
2002
119views more  ARTMED 2002»
13 years 7 months ago
Lung cancer cell identification based on artificial neural network ensembles
An artificial neural network ensemble is a learning paradigm where several artificial neural networks are jointly used to solve a problem. In this paper, an automatic pathological...
Zhi-Hua Zhou, Yuan Jiang, Yu-Bin Yang, Shifu Chen
BMCBI
2004
119views more  BMCBI 2004»
13 years 7 months ago
Identification of polymorphic tandem repeats by direct comparison of genome sequence from different bacterial strains : a web-ba
Background: Polymorphic tandem repeat typing is a new generic technology which has been proved to be very efficient for bacterial pathogens such as B. anthracis, M. tuberculosis, ...
France Denoeud, Gilles Vergnaud
PAMI
2010
161views more  PAMI 2010»
13 years 6 months ago
Nonstationary Shape Activities: Dynamic Models for Landmark Shape Change and Applications
—The goal of this work is to develop statistical models for the shape change of a configuration of “landmark” points (key points of interest) over time and to use these mode...
Samarjit Das, Namrata Vaswani
CONEXT
2010
ACM
13 years 5 months ago
NEVERMIND, the problem is already fixed: proactively detecting and troubleshooting customer DSL problems
Traditional DSL troubleshooting solutions are reactive, relying mainly on customers to report problems, and tend to be labor-intensive, time consuming, prone to incorrect resoluti...
Yu Jin, Nick G. Duffield, Alexandre Gerber, Patric...