Symbolic Regression (SR) is a well-studied task in Evolutionary Computation (EC), where
adequate free-form mathematical models must be automatically discovered from observed …

This paper proposes a hybrid basis function construction method (GP-RVM) for Symbolic
Regression problem, which combines an extended version of Genetic Programming called …

This paper proposes a hybrid basis function construction method (GP-RVM) for Symbolic
Regression problem, which combines an extended version of Genetic Programming called …

This paper reviews the main concepts related to software testing, its difficulties and the
impossibility of a complete software test. Then, it proposes an approach to predict which …

Fake news has grabbed attention lately. In this chapter, the issue is tackled from the point of
view of collection of quality data (ie, instances of fake and real news articles on a balanced …

Neural networks are very good, general classifiers, but they can take a very long time to train
correctly. A solution to this problem is the Random Vector Functional Link network (RVFL …

Durant ces dernières années, le recours de la médecine moderne à l'intelligence artificielle
ne cesse d'augmenter. L'avènement de cette technique a permis d'aboutir à des outils de …

Abstract Sudden Cardiac Death (SCD) is a medical problem that is responsible for over
300,000 deaths per year in the United States and millions worldwide. SCD is defined as …