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cs.LG2020
Minority Class Oversampling for Tabular Data with Deep Generative Models
Ramiro Camino, Christian Hammerschmidt, Radu State
In practice, machine learning experts are often confronted with imbalanced data. Without accounting for the imbalance, common classifiers perform poorly and standard evaluation met…
cs.LG2019★ 18 cited
Improving Missing Data Imputation with Deep Generative Models
Ramiro D. Camino, Christian A. Hammerschmidt, Radu State
Datasets with missing values are very common on industry applications, and they can have a negative impact on machine learning models. Recent studies introduced solutions to the pr…