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TNN
2010
127views Management» more  TNN 2010»
15 years 2 months ago
RAMOBoost: ranked minority oversampling in boosting
In recent years, learning from imbalanced data has attracted growing attention from both academia and industry due to the explosive growth of applications that use and produce imba...
Sheng Chen, Haibo He, Edwardo A. Garcia
HICSS
2011
IEEE
261views Biometrics» more  HICSS 2011»
14 years 11 months ago
Improved Patient Outcomes through Collaborative Monitoring and Management of Subtle Behavioral and Physiological Health Changes
This paper describes a highly mobile collaborative patient-centric, self-monitoring, symptom recognition and self intervention system along with a complementary clinical nursing t...
Paul J. Fortier, Brendon Puntin, Osama Aljaroudi
BILDMED
2008
15 years 9 months ago
Intersection Line Length Normalization in CT Projection Data
Abstract. We present a method to improve the quality of common sinogram restoration algorithms, which are used for metal-artifact reduction in X-ray CT. The presented approach is b...
Jan Müller 0002, Thorsten M. Buzug
ICDE
2002
IEEE
204views Database» more  ICDE 2002»
16 years 9 months ago
Approximating a Data Stream for Querying and Estimation: Algorithms and Performance Evaluation
Obtaining fast and good quality approximations to data distributions is a problem of central interest to database management. A variety of popular database applications including,...
Sudipto Guha, Nick Koudas
ICDE
2010
IEEE
311views Database» more  ICDE 2010»
16 years 4 months ago
Detecting Inconsistencies in Distributed Data
— One of the central problems for data quality is inconsistency detection. Given a database D and a set Σ of dependencies as data quality rules, we want to identify tuples in D ...
Wenfei Fan, Floris Geerts, Shuai Ma, Heiko Mü...