Explainable Artificial Intelligence (XAI) has experienced a significant growth over the last few
years. This is due to the widespread application of machine learning, particularly deep …

Machine and deep learning have proven their utility to generate data-driven models with
high accuracy and precision. However, their non-linear, complex structures are often difficult …

Deep Learning is a state-of-the-art technique to make inference on extensive or complex
data. As a black box model due to their multilayer nonlinear structure, Deep Neural …

Advances in artificial intelligence, sensors and big data management have far-reaching
societal impacts. As these systems augment our everyday lives, it becomes increasing-ly …

We present a survey of the research concerning explanation and justification in the Machine
Learning literature and several adjacent fields. Within Machine Learning, we differentiate …

Machine learning (ML), artificial neural networks (ANNs), and deep learning (DL) are all
topics that fall under the heading of artificial intelligence (AI) and have gained popularity in …

We present a sensitivity analysis-based method for explaining prediction models that can be
applied to any type of classification or regression model. Its advantage over existing general …

Machine learning techniques are increasingly gaining attention due to their widespread use
in various disciplines across academia and industry. Despite their tremendous success …

Software systems are becoming increasingly complex. Their ubiquitous presence makes
users more dependent on their correctness in many aspects of daily life. As a result, there is …

We present a general method for explaining individual predictions of classification models.
The method is based on fundamental concepts from coalitional game theory and predictions …