Abstract Information Theoretic Learning (ITL) methods have been applied in a variety of
applications as dynamic modeling, equalization and blind source separation. Usually, such …

The Brazilian energy spot price is obtained through a chain of dynamic stochastic
optimization models that works with the uncertainties related to its continental …

Clustering is an unsupervised task employed when there is no prior knowledge about the
structure and information contained in the data. Nowadays the amount of information and …

In the past few years Generative models have become an interesting topic in the field of
Machine Learning (ML). Variational Autoencoder (VAE) is one of the popular frameworks of …

Abstract Artificial Immune Systems (AIS) have been used as models to propose solutions to
problems in different fields. There are several inspirations involving AIS in the literature, one …

Como a previsão de vazões afluentes a hidrelétricas é uma das informações de entrada do
processo de programação da operação do Sistema Interligado Nacional (SIN), é importante …

Temporally structured sources may arise in blind equalization as the result of coding
schemes. In this context, a promising approach involves the use of correntropy, which is …