most citedBoarding for ISS: Imbalanced Self-Supervised: Discovery of a Scaled Autoencoder for Mixed Tabular Datasets

1 citations · 2 across the 2 of their papers we have counts for

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cs.LG2025

Disentangled Deep Smoothed Bootstrap for Fair Imbalanced Regression

Samuel Stocksieker, Denys pommeret, Arthur Charpentier

Imbalanced distribution learning is a common and significant challenge in predictive modeling, often reducing the performance of standard algorithms. Although various approaches ad…

cs.LG2024★ 1 cited

Data Augmentation with Variational Autoencoder for Imbalanced Dataset

Samuel Stocksieker, Denys Pommeret, Arthur Charpentier

Learning from an imbalanced distribution presents a major challenge in predictive modeling, as it generally leads to a reduction in the performance of standard algorithms. Various…