(Aim) Pathological brain detection (PBD) systems aim to assist and even replace
neuroradiologists to make decisions for patients. This review offers a comprehensive and …

Research background: The post-World Financial Crisis period has showed us that an
application of the qualitative data focused on the expectations of the enterprises and …

In this study a new approach to quantify qualitative survey data about the direction of change
is presented. We propose a data-driven procedure based on evolutionary computation that …

This paper is one of the latest attempts to observe and explain the relationship between the
Economic Sentiment Indicator (ESI) and GDP growth. This new approach uses the Diebold …

This study firstly applied a Bayesian symbolic regression (BSR) to the forecasting of
numerous commodities' prices (spot-based ones). Moreover, some features and an initial …

Symbolic regression is a type of discrete optimization problem that involves searching
expressions that fit given data points. In many cases, other mathematical constraints about …

In this study we use survey expectations about a wide range of economic variables to
forecast real activity. We propose an empirical approach to derive mathematical functional …

Given the fast-paced world economy, increasing carbon dioxide (CO 2) emissions have
caused serious concern regarding global warming. Many studies have examined the nexus …

In this paper we propose a data-driven approach for the construction of survey-based
indicators using large data sets. We make use of agents' expectations about a wide range of …

In this study we use agents' expectations about the state of the economy to generate
indicators of economic activity in twenty-six European countries grouped in five regions …