Listar por tema "class imbalance"
Mostrando ítems 1-4 de 4
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A bias correction function for classification performance assessment in two-class imbalanced problems
Elsevier (2014)This paper introduces a framework that allows to mitigate the impact of class imbalance on most scalar performance measures when used to evaluate the behavior of classifiers. Formally, a correction function is defined with ... -
A New Under-Sampling Method to Face Class Overlap and Imbalance
MDPI (2020-07-07)Class overlap and class imbalance are two data complexities that challenge the design of effective classifiers in Pattern Recognition and Data Mining as they may cause a significant loss in performance. Several solutions ... -
Gait-based Gender Classification Considering Resampling and Feature Selection
Engineering and Technology Publishing (2013-06)Two intrinsic data characteristics that arise in many domains are the class imbalance and the high dimensionality, which pose new challenges that should be addressed. When using gait for gender classification, benchmarking ...
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Using hybrid associative classifier with translation (HACT) for studying imbalanced data sets
Universidad Nacional de Colombia (Sede Bogotá). Facultad de Ingeniería (2012)En diversos problemas de reconocimiento de patrones, se ha observado que el desequilibrio de clases puede disminuir el desempeño del clasificador, principalmente en los patrones de las clases minoritarias. Una estrategia ...
