Sena Kilinc

AutoChainer: Automatic Data Augmentation for Stroke-based Input

Training Deep Learning classifiers for stroke-based applications requires collecting lots of samples, which is often expensive and time-consuming. Data augmentation (DA) techniques can mitigate this issue by artificially increasing the number of training samples, eventually improving model performance and robustness.…