Validation is an essential procedure in the development of a predictive model in several
engineering fields. In addition, recent data analysis techniques and the increasing …

Data ecosystems have been a game-changer in many industrial applications and research
fields, speeding up their development. The possibility of collecting large amounts of data …

Purpose Experiments are the backbone of the development process of data-driven
predictive models for scientific applications. The quality of the experiments directly impacts …

Predictive models are increasingly pervasive in many areas of daily life, from engineering to
the social sciences. Their use is gradually automating and replacing tasks that were typically …

Predictive models have a pervasive role in many daily applications. The increasing amount
of generated and shared data has recently boosted their development, shifting the model …

Data analysis has become a crucial process in various scientific fields, as the increasing
availability of technological tools facilitates decision-making through data-driven models …