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» Predictive Labeling with Dependency Pairs Using SAT
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BMCBI
2007
94views more  BMCBI 2007»
13 years 8 months ago
False positive reduction in protein-protein interaction predictions using gene ontology annotations
Background: Many crucial cellular operations such as metabolism, signalling, and regulations are based on protein-protein interactions. However, the lack of robust protein-protein...
Mahmood A. Mahdavi, Yen-Han Lin
EDM
2008
96views Data Mining» more  EDM 2008»
13 years 9 months ago
Labeling Student Behavior Faster and More Precisely with Text Replays
We present text replays, a method for generating labels that can be used to train classifiers of student behavior. We use this method to label data as to whether students are gamin...
Ryan Shaun Joazeiro de Baker, Adriana M. J. B. de ...
BMCBI
2010
183views more  BMCBI 2010»
13 years 8 months ago
Active learning for human protein-protein interaction prediction
Background: Biological processes in cells are carried out by means of protein-protein interactions. Determining whether a pair of proteins interacts by wet-lab experiments is reso...
Thahir P. Mohamed, Jaime G. Carbonell, Madhavi Gan...
BMCBI
2010
146views more  BMCBI 2010»
13 years 8 months ago
Revealing and avoiding bias in semantic similarity scores for protein pairs
Background: Semantic similarity scores for protein pairs are widely applied in functional genomic researches for finding functional clusters of proteins, predicting protein functi...
Jing Wang 0004, Xianxiao Zhou, Jing Zhu, Chenggui ...
AIED
2011
Springer
12 years 11 months ago
When Does Disengagement Correlate with Learning in Spoken Dialog Computer Tutoring?
We investigate whether an overall student disengagement label and six different labels of disengagement type are predictive of learning in a spoken dialog computer tutoring corpus...
Katherine Forbes-Riley, Diane J. Litman