Search Results for author: Artem Papanov

Found 2 papers, 1 papers with code

Influence of Resampling on Accuracy of Imbalanced Classification

no code implementations12 Jul 2017 Evgeny Burnaev, Pavel Erofeev, Artem Papanov

In many real-world binary classification tasks (e. g. detection of certain objects from images), an available dataset is imbalanced, i. e., it has much less representatives of a one class (a minor class), than of another.

Classification General Classification +1

Meta-Learning for Resampling Recommendation Systems

1 code implementation6 Jun 2017 Smolyakov Dmitry, Alexander Korotin, Pavel Erofeev, Artem Papanov, Evgeny Burnaev

One possible approach to tackle the class imbalance in classification tasks is to resample a training dataset, i. e., to drop some of its elements or to synthesize new ones.

Classification General Classification +2

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