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04/20/2019
ChoiceNet: CNN learning through choice of multiple feature map representations
We introduce a new architecture called ChoiceNet where each layer of the...
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research
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12/18/2017
MEBoost: Mixing Estimators with Boosting for Imbalanced Data Classification
Class imbalance problem has been a challenging research problem in the f...
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12/12/2017
CUSBoost: Cluster-based Under-sampling with Boosting for Imbalanced Classification
Class imbalance classification is a challenging research problem in data...
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11/15/2017
LIUBoost : Locality Informed Underboosting for Imbalanced Data Classification
The problem of class imbalance along with class-overlapping has become a...
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07/04/2017
