Artificial intelligence and all its supporting tools, eg machine and deep learning in
computational intelligence-based systems, are rebuilding our society (economy, education …

Multivariate temporal, or time, series classification is, in a way, the temporal generalization of
(numeric) classification, as every instance is described by multiple time series instead of …

Symbolic learning represents the most straightforward approach to interpretable modeling,
but its applications have been hampered by a single structural design choice: the adoption …

Tree ensemble methods represent a popular machine learning model, known for their
effectiveness in supervised classification and regression tasks. Their performance derives …

Artificial intelligence is reconstructing our society (business, education, lifestyle, etc.) and
ushering in a new age for the social welfare state with all of its accompanying instruments …

Regression analysis is the statistical process used to estimate the relationship between a
dependent variable and one or more independent variables. In machine learning, typical …

In several domains, the execution of a system is associated with the generation of
continuous streams of data. Such streams may contain important telemetry information …

A sensor is a device which is used to detect physical parameters of interest like temperature,
pressure, or strain, performing the so called sensing process. This kind of device has been …

Supervised classification is one of the main computational tasks of modern Artificial
Intelligence, and it is used to automatically extract an underlying theory from a set of already …

In recent years, machine learning algorithms had good performance in many fields. On the
one hand, its predictive ability is greatly improved; on the other hand, with the increase of the …