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