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BMCBI
2010
98views more  BMCBI 2010»
15 years 4 months ago
Learning to predict expression efficacy of vectors in recombinant protein production
Background: Recombinant protein production is a useful biotechnology to produce a large quantity of highly soluble proteins. Currently, the most widely used production system is t...
Wen-Ching Chan, Po-Huang Liang, Yan-Ping Shih, Uen...
ECCV
2010
Springer
15 years 5 months ago
Semantic Segmentation of Urban Scenes Using Dense Depth Maps
In this paper we present a framework for semantic scene parsing and object recognition based on dense depth maps. Five viewindependent 3D features that vary with object class are e...
Chenxi Zhang, Liang Wang, Ruigang Yang
BMCBI
2006
148views more  BMCBI 2006»
15 years 4 months ago
Predicting Class II MHC-Peptide binding: a kernel based approach using similarity scores
Background: Modelling the interaction between potentially antigenic peptides and Major Histocompatibility Complex (MHC) molecules is a key step in identifying potential T-cell epi...
Jesper Salomon, Darren R. Flower
PROMISE
2010
14 years 11 months ago
On the value of learning from defect dense components for software defect prediction
BACKGROUND: Defect predictors learned from static code measures can isolate code modules with a higher than usual probability of defects. AIMS: To improve those learners by focusi...
Hongyu Zhang, Adam Nelson, Tim Menzies
RTCSA
2007
IEEE
15 years 11 months ago
An MPSoC Performance Estimation Framework Using Transaction Level Modeling
— To use the tremendous hardware resources available in next generation MultiProcessor Systems-on-Chip (MPSoC) efficiently, rapid and accurate design space exploration (DSE) met...
Rabie Ben Atitallah, Smaïl Niar, Samy Meftali...