213 citations · 283 across the 6 of their papers we have counts for
7 papers
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…
A First Look at Dataset Bias in License Plate Recognition
Rayson Laroca, Marcelo Santos, Valter Estevam +2
Public datasets have played a key role in advancing the state of the art in License Plate Recognition (LPR). Although dataset bias has been recognized as a severe problem in the co…
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…
Ocular Recognition Databases and Competitions: A Survey
Luiz A. Zanlorensi, Rayson Laroca, Eduardo Luz +3
The use of the iris and periocular region as biometric traits has been extensively investigated, mainly due to the singularity of the iris features and the use of the periocular re…
The Impact of Preprocessing on Deep Representations for Iris Recognition on Unconstrained Environments
Luiz A. Zanlorensi, Eduardo Luz, Rayson Laroca +3
The use of iris as a biometric trait is widely used because of its high level of distinction and uniqueness. Nowadays, one of the major research challenges relies on the recognitio…