Artificial intelligence (AI) and machine learning (ML) have recently been radically improved
and are now being employed in almost every application domain to develop automated or …

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 …

Text mining has been a popular research topic in the field of natural language processing.
With the emergence of Web 2.0 and the development of social software, the amount of text …

Introduction Many Explainable AI (XAI) systems provide explanations that are just clues or
hints about the computational models-Such things as feature lists, decision trees, or saliency …

Prior work introduced a gradient descent trained expert system that conceptually combines
the learning capabilities of neural networks with the understandability and defensible logic …

Explainable artificial intelligence (XAI) is an evolving discipline that mainly emphasises
unboxing in these Black-Boxes. This study provides in-depth review of XAI literature together …

This paper introduces an automated vision system for animal detection in trail-camera
images taken from a field under the administration of the Texas Parks and Wildlife …

In data science there are problems that are not visible until you work with a sufficiently large
number of data. This is the case, for example, with the design of the inference engine in …

The recent years have witnessed a growing anticipation for the positive transformation of
industries which adopt Artificial Intelligence (AI) for the core areas of their business activities …