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 …

In recent years, many accurate decision support systems have been constructed as black
boxes, that is as systems that hide their internal logic to the user. This lack of explanation …

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 …

The recent years have witnessed the rise of accurate but obscure decision systems which
hide the logic of their internal decision processes to the users. The lack of explanations for …

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 …

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

In recent years, support vector machines (SVMs) were successfully applied to a wide range
of applications. However, since the classifier is described as a complex mathematical …

Finding information hidden in data is as theoretically difficult as it is practically important.
With the objective of discovering unknown patterns from data, the methodologies of data …

Support vector machine (SVM) is currently state-of-the-art for classification tasks due to its
ability to model nonlinearities. However, the main drawback of SVM is that it generates …