A growing number of research papers shed light on automated machine learning (AutoML)
frameworks, which are becoming a promising solution for building complex machine …

Multi-target regression (MTR) is an exciting area of machine learning where the challenge is
to predict the values of more than one target variables which can take on continuous values …

Choosing the most suitable algorithm to perform a machine learning task for a new problem
is a recurrent and complex task. In multi-target regression tasks, when problem …

Recent years have seen the development of novel, rapid, and inexpensive techniques for
collecting plant data to monitor the nutritional status of crops. These techniques include …

Abstract Coincident Geostationary Lightning Mapper (GLM) and National Lightning
Detection Network (NLDN) observations are used to build a generator of realistic lightning …

Machine Learning (ML) has made its way into a wide variety of advanced applications,
where high accuracies can be achieved when these ML models are evaluated in the same …

The constant content generation of today's society has led companies to include an
increasing amount of complex data in their decision support systems. Given situations where …

Machine Learning (ML) has made its way into a wide variety of advanced applications,
where high accuracies can be achieved when these ML models are evaluated in the same …

The research activity has mainly dealt with supervised Machine Learning algorithms,
specifically within the context of kernel methods. A kernel function is a positive definite …