2019
Saliency Map on Cnns for Protein Secondary Structure Prediction
ICASSP 2019accepted
Deep learning, a powerful methodology for data-driven modelling, has been shown to be useful in tackling several problems in the biomedical domain. However, deep neural architectures lack interpretability of how predictions from them are made on any test input. While several approaches to "opening t…