By applying AI techniques to a variety of pandemic-relevant data, artificial intelligence (AI)
has substantially supported the control of the spread of the SARS-CoV-2 virus. Along with …

The complex nature of disease mechanisms and the variability of patient symptoms present
significant obstacles in developing effective diagnostic tools. Although machine learning has …

This empirical study proposes a novel methodology to measure users' perceived trust in an
Explainable Artificial Intelligence (XAI) model. To do so, users' mental models are elicited …

Nowadays, a large amount of structured and unstructured data is being produced in various
fields, creating tremendous opportunities to implement Machine Learning (ML) algorithms …

Existing tools for explaining the output of image classifiers can be divided into white-box,
which rely on access to the model internals, and black-box, agnostic to the model. As the …

pyFUME is a python package for the automatic estimation of fuzzy inference systems. Fuzzy
models are considered among the most interpretable, understandable, and transparent …

The investigation of the emergent collective behaviour in flying birds is a challenging task,
yet it has always fascinated scientists from different disciplines. In the attempt of studying …

This empirical study proposes a novel methodology to measure users' perceived trust in an
Explainable Artificial Intelligence (XAI) model. To do so, users' mental models are elicited …