Carlos A. Estombelo-Montesco

We propose an algorithm based on a variation of ICA, where the signal of interest is extracted using a time delay obtained from an autocorrelation analysis, and show that the method is effective in removing the maternal signal. Expand

We propose an algorithm based on a variation of ICA, called Dependent Component Analysis (DCA), where the signal of interest is extracted using a time delay obtained from an autocorrelation analysis. Expand

We proposed a solution for student attendance control using face recognition with deep one-shot learning and evaluated our approach in different conditions and image capturing devices to confirm that such a pipeline may work in a real-world setting. Expand

The Electrical Power Quality (EPQ) is a relevant subject in the academic area because of its importance on real-world problems. Expand

This paper revisits the KSIG, which improves the convergence speed in kernel adaptive filtering with an even cost function (Sigmoid Algorithm) and also proposes a new version, with a pre-tuned dictionary (KSIG-PTD), to deal with the high cost in kernel algorithms of the computation of the output. Expand

In the literature about the problem of power quality, the authors of many articles use simulated data, since it is hard to find benchmarks with real disturbances. Expand