Pedro Silva

19 papers B 1C 2Journal 7Unranked 9
YearRankTypeTitle / Venue / Authors
2026 J jnl
Benford's Law as a Distributional Prior for Post-Training Quantization of Large Language Models.
CoRR
Arthur Negrão, Pedro Silva, Vander L. S. Freitas, Gladston Moreira, Eduardo Luz
2025 J jnl
A Systematic Review of ECG Arrhythmia Classification: Adherence to Standards, Fair Evaluation, and Embedded Feasibility.
CoRR
Guilherme Silva, Pedro Silva, Gladston Moreira, Vander L. S. Freitas, Jadson Castro Gertrudes, Eduardo José da S. Luz
2025 J jnl
Deep Learning for School Dropout Detection: A Comparison of Tabular and Graph-Based Models for Predicting At-Risk Students.
CoRR
Pablo G. Almeida, Guilherme A. L. Silva, Valéria Santos, Gladston Moreira, Pedro Silva, Eduardo José da S. Luz
2025 J jnl
PD-Loss: Proxy-Decidability for Efficient Metric Learning.
CoRR
Pedro Silva, Guilherme A. L. Silva, Pablo Coelho, Vander L. S. Freitas, Gladston Moreira, David Menotti, Eduardo Luz
2024 — conf
Adaptive Client-Dropping in Federated Learning: Preserving Data Integrity in Medical Domains.
BRACIS (1)
Arthur Negrão, Guilherme Silva, Rodrigo C. Pedrosa, Eduardo Luz, Pedro Silva
2024 — conf
Bridging the Gap in ECG Classification: Integrating Self-supervised Learning with Human-in-the-Loop Amid Medical Equipment Hardware Constraints.
ARC
Guilherme Silva, Pedro Silva, Gladston Moreira, Eduardo Luz
2024 — conf
Exploring Remote Cardiac Signals for Biometric Verification: A Study Using Eulerian Video Magnification.
LA-CCI
Adriano F. Andrade, Guilherme Silva, Pedro Silva, Dênis Oliveira, Gladston Moreira, Eduardo Luz
2024 — conf
Periocular EfficientNet: A Deep Model for Periocular Recognition.
LA-CCI
Pablo Coelho, Guilherme Silva, Dênis Oliveira, Gladston Moreira, Eduardo Luz, Pedro Silva
2023 — conf
Enhancing Stock Market Predictions Through the Integration of Convolutional and Recursive LSTM Blocks: A Cross-market Analysis.
BRACIS (2)
Filipe Ramos, Guilherme Silva, Eduardo Luz, Pedro Silva
2023 — conf
Merging Traditional Feature Extraction and Deep Learning for Enhanced Hop Variety Classification: A Comparative Study Using the UFOP-HVD Dataset.
BRACIS (2)
Pedro Henrique Nascimento Castro, Gabriel Cássia Fortuna, Pedro Silva, Andrea G. C. Bianchi, Gladston Moreira, Eduardo José da S. Luz
2022 B conf
A Decidability-Based Loss Function.
IJCNN
Pedro Silva, Gladston Moreira, Vander L. S. Freitas, Rodrigo Silva, David Menotti, Eduardo Luz
2022 J jnl
CapsProm: a capsule network for promoter prediction.
Comput. Biol. Medicine
Lauro Moraes, Pedro Silva, Eduardo Luz, Gladston Moreira
2022 — conf
Deep Learning-Based COVID-19 Screening Using Photographs of Chest X-Rays Displayed in Computer Monitors.
BRACIS (2)
Pedro Silva, Eduardo Luz, Larissa Silva, Caio Gonçalves, Dênis Oliveira, Rodrigo Silva, Gladston Moreira
2021 J jnl
A Decidability-Based Loss Function.
CoRR
Pedro Silva, Gladston Moreira, Vander L. S. Freitas, Rodrigo Silva, David Menotti, Eduardo Luz
2021 J jnl
CapsProm: A Capsule Network For Promoter Prediction.
CoRR
Lauro Moraes, Pedro Silva, Eduardo Luz, Gladston Moreira
2018 C conf
QRS Detection in ECG Signal with Convolutional Network.
CIARP
Pedro Silva, Eduardo Luz, Elizabeth F. Wanner, David Menotti, Gladston Moreira
2017 C conf
Real-Time Brand Logo Recognition.
CIARP
Leonardo Bombonato, Guillermo Cámara Chávez, Pedro Silva
2017 — conf
Real-Time Single-Shot Brand Logo Recognition.
SIBGRAPI
Leonardo Bombonato, Guillermo Cámara Chávez, Pedro Silva
2015 — conf
An Approach to Iris Contact Lens Detection Based on Deep Image Representations.
SIBGRAPI
Pedro Silva, Eduardo José da S. Luz, Rafael Baeta, Hélio Pedrini, Alexandre Xavier Falcão, David Menotti