• Publications
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Fetal source extraction from magnetocardiographic recordings by dependent component analysis.
TLDR
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
  • 11
Detection of auditory cortex activity by fMRI using a dependent component analysis.
TLDR
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
  • 4
Automatic Attendance Management System based on Deep One-Shot Learning
TLDR
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
  • 1
A comparison of Two Embedded Systems to Detect Electrical Disturbances using Decision Tree Algorithm
TLDR
The Electrical Power Quality (EPQ) is a relevant subject in the academic area because of its importance on real-world problems. Expand
  • 1
Analysis and Improvement of convergence speed in kernel adaptive filters with nonlinear even cost function and pre-tuned dictionary
TLDR
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
SED-Bench: Benchmark for Simulated Electrical Disturbance
TLDR
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