ReMix: Calibrated Resampling for Class Imbalance in Deep learning

ReMix: Calibrated Resampling for Class Imbalance in Deep learning

3 December 2020

Roberto Corizzo

Nathalie Japkowicz

Papers citing "ReMix: Calibrated Resampling for Class Imbalance in Deep learning"

5 / 5 papers shown

Title
MedConv: Convolutions Beat Transformers on Long-Tailed Bone Density Prediction Xuyin Qi Zeyu Zhang Huazhan Zheng Mingxi Chen Numan Kutaiba ... Hongtao Mao Heng Chang Zhibin Liao Yang Zhao Minh-Son To MedIm 48 7 0 02 Feb 2025
MCRAGE: Synthetic Healthcare Data for Fairness Keira Behal Jiayi Chen Caleb Fikes Sophia Xiao SyDa MedIm 32 1 0 27 Oct 2023
Set Learning for Accurate and Calibrated Models Lukas Muttenthaler Robert A. Vandermeulen Qiuyi Zhang Thomas Unterthiner Klaus-Robert Muller 39 2 0 05 Jul 2023
Understanding CNN Fragility When Learning With Imbalanced Data Damien Dablain Kristen N. Jacobson C. Bellinger Mark Roberts Nitesh Chawla 39 39 0 17 Oct 2022
DeepSMOTE: Fusing Deep Learning and SMOTE for Imbalanced Data Damien Dablain Bartosz Krawczyk Nitesh Chawla 29 263 0 05 May 2021