213 citations · 261 across the 9 of their papers we have counts for
11 papers
Few-Shot Prototype Head Adaptation for On-Device ECG Personalization on PSoC~6
Guilherme Silva, Pedro Silva, Gladston Moreira +1
Wearable and bedside electrocardiogram (ECG) monitors must adapt to patient-specific morphology to maintain arrhythmia detection accuracy across users, yet personalization is typic…
PD-Loss: Proxy-Decidability for Efficient Metric Learning
Pedro Silva, Guilherme A. L. Silva, Pablo Coelho +4
Deep Metric Learning (DML) aims to learn embedding functions that map semantically similar inputs to proximate points in a metric space while separating dissimilar ones. Existing m…
Deep Learning for School Dropout Detection: A Comparison of Tabular and Graph-Based Models for Predicting At-Risk Students
Pablo G. Almeida, Guilherme A. L. Silva, Valéria Santos +3
Student dropout is a significant challenge in educational systems worldwide, leading to substantial social and economic costs. Predicting students at risk of dropout allows for tim…
Investigating the Impact of Large-Scale Pre-training on Nutritional Content Estimation from 2D Images
Michele Andrade, Guilherme A. L. Silva, Valéria Santos +2
Estimating the nutritional content of food from images is a critical task with significant implications for health and dietary monitoring. This is challenging, especially when rely…
A Systematic Review of ECG Arrhythmia Classification: Adherence to Standards, Fair Evaluation, and Embedded Feasibility
Guilherme Silva, Pedro Silva, Gladston Moreira +3
The classification of electrocardiogram (ECG) signals is crucial for early detection of arrhythmias and other cardiac conditions. However, despite advances in machine learning, man…
Regularization Through Simultaneous Learning: A Case Study on Plant Classification
Pedro Henrique Nascimento Castro, Gabriel Cássia Fortuna, Rafael Alves Bonfim de Queiroz +2
In response to the prevalent challenge of overfitting in deep neural networks, this paper introduces Simultaneous Learning, a regularization approach drawing on principles of Trans…
CapsProm: A Capsule Network For Promoter Prediction
Lauro Moraes, Pedro Silva, Eduardo Luz +1
Locating the promoter region in DNA sequences is of paramount importance in the field of bioinformatics. This is a problem widely studied in the literature, however, not yet fully…
A Decidability-Based Loss Function
Pedro Silva, Gladston Moreira, Vander Freitas +3
Nowadays, deep learning is the standard approach for a wide range of problems, including biometrics, such as face recognition and speech recognition, etc. Biometric problems often…
Towards an Effective and Efficient Deep Learning Model for COVID-19 Patterns Detection in X-ray Images
Eduardo Luz, Pedro Lopes Silva, Rodrigo Silva +3
Confronting the pandemic of COVID-19, is nowadays one of the most prominent challenges of the human species. A key factor in slowing down the virus propagation is the rapid diagnos…
Simultaneous Iris and Periocular Region Detection Using Coarse Annotations
Diego R. Lucio, Rayson Laroca, Luiz A. Zanlorensi +2
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. We believe…
A Benchmark for Iris Location and a Deep Learning Detector Evaluation
Evair Severo, Rayson Laroca, Cides S. Bezerra +4
The iris is considered as the biometric trait with the highest unique probability. The iris location is an important task for biometrics systems, affecting directly the results obt…