On oversampling imbalanced data with deep conditional generative models
نویسندگان
چکیده
منابع مشابه
Generative Oversampling for Mining Imbalanced Datasets
One way to handle data mining problems where class prior probabilities and/or misclassification costs between classes are highly unequal is to resample the data until a new, desired class distribution in the training data is achieved. Many resampling techniques have been proposed in the past, and the relationship between resampling and cost-sensitive learning has been well studied. Surprisingly...
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ژورنال
عنوان ژورنال: Expert Systems with Applications
سال: 2021
ISSN: 0957-4174
DOI: 10.1016/j.eswa.2020.114463