Machine Learning (ML) has extended its use in several domains to support complex
analyses of data. The medical field, in which significant quantities of data are continuously …

The exponential use of artificial intelligence (AI) to solve and automated complex tasks has
catapulted its popularity generating some challenges that need to be addressed. While AI is …

Abstract Machine Learning (ML) applications in complex domains, such as the medical
domain, can be highly beneficial, but also hazardous if some concepts are overlooked. In …

Artificial Intelligence (AI) has proven to be useful in several fields. The medical domain is
one of the fields that benefits from the application of AI methods to automate and ease …

Machine Learning allows facing complex tasks related to data analysis with big datasets.
This Artificial Intelligence branch allows not technical contexts to get benefits related to data …

This study explores the synergistic potential of integrating artificial intelligence (AI) with
design thinking, aiming to enhance innovation and problem-solving capabilities in various …

[EN] Data analysis is a key process to foster knowledge generation in particular domains or
fields of study. With a strong informative foundation derived from the analysis of collected …

The prevalence of artificial intelligence (AI) in our daily lives is often exaggerated by the
media, leading to a positive public perception while overlooking potential problems. In the …

User interfaces (UIs) play a crucial role in defining user experiences and influencing the
success of software products. While UI design has traditionally been subjective and iterative …

AI algorithms application to medical data has gained relevance due to their powerful
benefits among different research tasks. However, medical data is heterogeneous and …