This article presents a comprehensive review of stacking methods commonly used to
address the challenge of automatic semantic similarity measurement in the literature. Since …

Considering the non-Newtonian behavior of polymer melts in the flow analysis of single-
screw extruders generally requires use of numerical procedures. We present a generalized …

The problem of automatically measuring the degree of semantic similarity between textual
expressions is a challenge that consists of calculating the degree of likeness between two …

Modeling the flow of non-Newtonian melts in single-screw extruders generally requires
numerical methods. In this study, we analyze viscous dissipation for fully developed flow of …

In some situations, the interpretability of the machine learning models plays a role as
important as the model accuracy. Interpretability comes from the need to trust the prediction …

In this work we aim to empirically characterize two important dynamical aspects of GP
search: the evolution of diversity and the propagation of inheritance patterns. Diversity is …

Surrogate-assisted optimization algorithms are a commonly used technique to solve
expensive-evaluation problems, in which a regression model is built to replace an …

The challenge of assessing semantic similarity between pieces of text through computers
has attracted considerable attention from industry and academia. New advances in neural …

In this chapter we examine how multi-objective genetic programming can be used to perform
symbolic regression and compare its performance to single-objective genetic programming …

Reflectarray antennas (RAs) have the ability to combine the advantages of both traditional
parabolic reflector and phased array antennas without the need for feed network designs …