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Random forest em dados desbalanceados: uma aplicação na modelagem de churn em seguro saúde
(2017-03-27)
In this work we study churn in health insurance, that is predicting which clients will cancel the product or service within a preset time-frame. Traditionally, the probability whether a client will cancel the service is ...
ClusterOSS: a new undersampling method for imbalanced learning
(Universidade de São Paulo - USPUniversidade Federal de São Carlos - UFSCarCentro de Robótica de São Carlos - CROBSociedade Brasileira de Computação - SBCSociedade Brasileira de Automática – SBASão Carlos, 2014-10)
A dataset is said to be imbalanced when its classes are disproportionately represented in terms of the number of instances they contain. This problem is common in applications such as medical diagnosis of rare diseases, ...
MRI fast tree log scanning with helical undersampled projection acquisitions
(ELSEVIER SCIENCE INC, 2002)
Magnetic Resonance Imaging opens an alternative way to analyze wood structures using a non-destructive technology. It provides high resolution, compound-based contrast manipulation and increased data acquisition flexibility. ...
Nonrigid motion modeling of the liver from 3-D undersampled self-gated golden-radial phase encoded MRI
(2012)
Magnetic resonance imaging (MRI) has been commonly used for guiding and planning image guided interventions since it provides excellent soft tissue visualization of anatomy and allows motion modeling to predict the position ...