We describe a new multiclass classification method that learns multidimensional feature
transformations using genetic programming. This method optimizes models by first …

Genetic programming has found recent success as a tool for learning sets of features for
regression and classification. Multidimensional genetic programming is a useful variant of …

This paper presents the proposal of a method to recognize emotional states through EEG
analysis. The novelty of this work lies in its feature improvement strategy, based on …

Transfer learning (TL) is the process by which some aspects of a machine learning model
generated on a source task is transferred to a target task, to simplify the learning required to …

This chapter reviews the use of Evolutionary Machine Learning (EML) in environmental
science. We cover the various steps of the machine learning pipeline, also addressing topics …

Computer science is the science that deals with the treatment of information by means of
automatic procedures. It has multiple objectives, including the study of computation at a …

Abstract Multidimensional Multiclass Genetic Programming with Multidimensional
Populations (M3GP) was originally proposed as a wrapper approach for supervised …

The M3GP algorithm, originally designed to per-form multiclass classification with genetic
programming, is also a powerful feature construction method. Here we explore its ability to …

In the field of machine learning (ML) it is possible to distinguish two fundamental categories:
supervised learning and unsupervised learning techniques. The main aim of the former …

While artificial intelligence (AI) has become widespread, many commercial AI systems are
not yet accessible to individual researchers nor the general public due to the deep …