Explainable Deep Learning and Targeted Spectral Augmentation for Mid-Infrared Classification of Additive-Containing Polymers
{{output}}
Deep learning architectures are increasingly used for spectral classification because of their ability to achieve high prediction accuracies and adapt to complex, heterogeneous data. However, their limited interpretability and sensitivity to data set heterogen... ...
