Litcius/Paper detail

Evaluating the faithfulness of saliency maps in explaining deep learning models using realistic perturbations

José Pereira Amorim, Pedro Henriques Abreu, João Santos, Marc Cortes, Víctor Quevedo Vila

2022Information Processing & Management33 citationsDOI

Topics & Concepts

Artificial intelligenceComputer sciencePixelPattern recognition (psychology)Image (mathematics)Saliency mapRandom forestClass (philosophy)Deep learningAI in cancer detectionExplainable Artificial Intelligence (XAI)Radiomics and Machine Learning in Medical Imaging
Evaluating the faithfulness of saliency maps in explaining deep learning models using realistic perturbations | Litcius