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A Pareto-based Ensemble with Feature and Instance Selection for Learning from Multi-Class Imbalanced Datasets.
Alberto Fernández
Cristóbal J. Carmona
María José del Jesus
Francisco Herrera
Published in:
Int. J. Neural Syst. (2017)
Keyphrases
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multi class
learning algorithm
learning process
base classifiers
pairwise
learning tasks
support vector machine
imbalanced datasets
active learning
data sets
cost sensitive
class imbalance
binary classification
support vector
decision trees
multi task
random forests
instance selection