In the last few years, Artificial Intelligence (AI) has achieved a notable momentum that, if
harnessed appropriately, may deliver the best of expectations over many application sectors …

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 …

Abstract Previous research in Explainable Artificial Intelligence (XAI) suggests that a main
aim of explainability approaches is to satisfy specific interests, goals, expectations, needs …

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 …

Recent developments in artificial intelligence (AI) have resulted in a breakthrough for many
classical AI-applications, such as computer vision, natural language processing, robotics …

Recently, requirements for the explainability of software systems have gained prominence.
One of the primary motivators for such requirements is that explainability is expected to …

Due to their tremendous potential in predictive tasks, Machine Learning techniques such as
Artificial Neural Networks have received great attention from both research and practice …

Abstract Although Deep Neural Networks (DNNs) have great generalization and prediction
capabilities, their functioning does not allow a detailed explanation of their behavior …

Sentiment Analysis can help to extract knowledge related to opinions and emotions from
user generated text information. It can be applied in medical field for patients monitoring …

In this work, we propose BERT-WMAL, a hybrid model that brings together information
coming from data through the recent transformer deep learning model and those obtained …