2 papers
cs.LG2026
Towards plausibility in time series counterfactual explanations
Marcin Kostrzewa, Krzysztof Galus, Maciej ZiÄba
We present a new method for generating plausible counterfactual explanations for time series classification problems. The approach performs gradient-based optimization directly in…
cs.CV2024
Local Lesion Generation is Effective for Capsule Endoscopy Image Data Augmentation in a Limited Data Setting
Adrian B. ChÅopowiec, Adam R. ChÅopowiec, Krzysztof Galus +2
Limited medical imaging datasets challenge deep learning models by increasing risks of overfitting and reduced generalization, particularly in Generative Adversarial Networks (GANs…