1 code implementation • 7 Dec 2021 • Lauro Moraes, Pedro Silva, Eduardo Luz, Gladston Moreira
Locating the promoter region in DNA sequences is of paramount importance in the field of bioinformatics.
no code implementations • 12 Sep 2021 • Pedro Silva, Gladston Moreira, Vander Freitas, Rodrigo Silva, David Menotti, Eduardo Luz
Nowadays, deep learning is the standard approach for a wide range of problems, including biometrics, such as face recognition and speech recognition, etc.
1 code implementation • 26 Nov 2020 • Pedro Silva, Eduardo Luz, Guilherme Silva, Gladston Moreira
In this work, we propose a feasible and real-time approach that works as a validation method for a heartbeat segmentation third-party algorithm.
2 code implementations • 12 Apr 2020 • Eduardo Luz, Pedro Lopes Silva, Rodrigo Silva, Ludmila Silva, Gladston Moreira, David Menotti
Thus, the main goal of this work is to propose an accurate yet efficient method in terms of memory and processing time for the problem of COVID-19 screening in chest X-rays.
no code implementations • 31 Jul 2019 • Diego R. Lucio, Rayson Laroca, Luiz A. Zanlorensi, Gladston Moreira, David Menotti
In this work, we propose to detect the iris and periocular regions simultaneously using coarse annotations and two well-known object detectors: YOLOv2 and Faster R-CNN.
no code implementations • 3 Mar 2018 • Evair Severo, Rayson Laroca, Cides S. Bezerra, Luiz A. Zanlorensi, Daniel Weingaertner, Gladston Moreira, David Menotti
The iris is considered as the biometric trait with the highest unique probability.
no code implementations • Scientific Reports 2017 • Gabriel Garcia, Gladston Moreira, David Menotti, Eduardo Luz
Classifying arrhythmias can be a tough task for a human being and automating this task is highly desirable.
Ranked #5 on Arrhythmia Detection on MIT-BIH AR