Hearing impairment is a serious disease with increasing prevalence. It is defined based on increased audiometric thresholds but increased thresholds are only partly responsible for the greater ...

Undersampling is a popular method to solve imbalanced classification problems. However, sometimes it may remove too many majority samples which may lead to loss of informative samples. In this article ...

In undersampling applications, such as wideband receivers, cellular base stations, and communications receivers, the undersampled signal has a relatively low-frequency bandwidth—with the help of the ...

Abstract: Undersampling is a widely adopted method to deal with imbalance pattern classification problems. Current methods mainly depend on either random resampling on the majority class or resampling ...

This undersampling technique can be applied to applications such as harmonic sampling, IF sampling, and direct IF-to-digital conversion. However, in applications such as AC strain gauges or other ...

@article{chatterji2022undersampling, title={Undersampling is a Minimax Optimal Robustness Intervention in Nonparametric Classification}, author={Chatterji, Niladri S and Haque, Saminul and Hashimoto, ...

Abstract: Undersampling is a popular method in dealing with class-imbalance problems, which uses only a subset of the majority class and thus is very efficient. The main deficiency is that many ...