86 citations · 112 across the 3 of their papers we have counts for
3 papers
Model Selection for Anomaly Detection
Evgeny Burnaev, Pavel Erofeev, Dmitry Smolyakov
Anomaly detection based on one-class classification algorithms is broadly used in many applied domains like image processing (e.g. detection of whether a patient is "cancerous" or…
Influence of Resampling on Accuracy of Imbalanced Classification
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…
Meta-Learning for Resampling Recommendation Systems
Smolyakov Dmitry, Alexander Korotin, Pavel Erofeev +2
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. There e…