… of explainability in machine learning and artificial intelligence. … DEEP LEARNING MODELS
This section introduces two popular techniques for explaining predictions of deep learning …

… Explainable artificial intelligence (XAI) framework In this section, we will give a brief overview
of Explainable Artificial Intelligence (XAI) techniques found in deep learning for medical …

… recent developments in the field of explainable artificial intelligence … explainable AI, starting
with techniques which are model-agnostic and rely on a simple surrogate function to explain …

… Keywords such as explainable artificial intelligence, XAI, explainable machine learning,
explainable deep learning, interpretable machine learning were used as search parameters. …

… focus on the audience for which the explainability is sought. Departing from this … explainability
of different Machine Learning models, including those aimed at explaining Deep Learning …

… Artificial intelligence (AI) models based on deep learning now … We review progress in the
emerging area of explainable AI (… mechanistic insights into complex deep learning models. We …

… Layer-wise relevance propagation and sensitivity analysis were presented in [16] to explain
predictions for deep learning models in the terms of input variables. In [44], deep Taylor …

… the explainability of artificial intelligence in the context of recent advances in machine learning
and deep learning. … the main challenges in terms of explainability building on the recently …

… Artificial Intelligence to improve deep learning models performance for image classification
tasks in general. A deep learning … —an Explaining Artificial Intelligence technique—to identify …

… (i) pre-modeling explainability, (ii) interpretable model, and (iii) post-modeling explainability.
We … methods that dedicate to interpret and analyze deep learning methods. In addition, we …