Towards Understanding How Data Augmentation Works with Imbalanced Data

12 April 2023

Papers citing "Towards Understanding How Data Augmentation Works with Imbalanced Data"

3 / 3 papers shown

Title
Data Augmentation for Compositional Data: Advancing Predictive Models of the Microbiome E. Gordon-Rodríguez Thomas P. Quinn John P. Cunningham 38 7 0 20 May 2022
Data Augmentation Approaches in Natural Language Processing: A Survey Bohan Li Yutai Hou Wanxiang Che 119 269 0 05 Oct 2021
SMOTE: Synthetic Minority Over-sampling Technique Nitesh V. Chawla Kevin W. Bowyer Lawrence Hall W. Kegelmeyer AI4TS 160 25,214 0 09 Jun 2011