Logical analysis of data (LAD), an approach to data analysis based on Boolean functions,
combinatorics, and optimization, can be considered one of the methods of interpretable …

The application of machine learning and artificial intelligence techniques in the medical
world is growing, with a range of purposes: from the identification and prediction of possible …

This study presents a comprehensive review of the automated classification in partial
discharge (PD) source identification and probabilistic interpretation of the classification …

Aims The objective of this study is to establish a predictive model using transparent machine
learning (ML) to identify any drivers that characterize therapeutic inertia. Methods Data in the …

Increasingly in recent times, the mere prediction of a machine learning algorithm is
considered insufficient to gain complete control over the event being predicted. A machine …

Safety engineering and artificial intelligence are two fields that still need investigation on
their reciprocal interactions. Safety should be guaranteed when autonomous decision may …

In view of system reliability, extraction of knowledge from models of artificial intelligence may
be more important than their forecasting ability. The elaboration of rules found by …

Background More than fifty percent of neuroblastoma (NB) patients with adverse prognosis
do not benefit from treatment making the identification of new potential targets mandatory …

The aim of this study is to apply and characterize eXplainable AI (XAI) to assess the quality
of synthetic health data generated using a data augmentation algorithm. In this exploratory …

Optimizing water distribution both from an energy-saving perspective and from a quality of
service perspective is a challenging task since it involves a complex system with many …