Pedro Silva

Orcid: 0000-0002-5525-6121

Affiliations:
  • Federal University of Ouro Preto, Computing Department, MG, Brazil


According to our database1, Pedro Silva authored at least 33 papers between 2015 and 2026.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

Book  In proceedings  Article  PhD thesis  Dataset  Other 

Links

Online presence:

On csauthors.net:

Bibliography

2026
Benford's Law as a Distributional Prior for Post-Training Quantization of Large Language Models.
CoRR, February, 2026

A Multitask Transformer for Offensive Language Detection and Target Identification in HateBR.
Proceedings of the 17th International Conference on Computational Processing of Portuguese, 2026

Lost in Quantization: Activation Outliers Explain Language-Specific FP8 Sensitivity in Llama-3.
Proceedings of the 17th International Conference on Computational Processing of Portuguese, 2026

Global vs. Local Sentence Embeddings for Brazilian Portuguese: Revisiting Monolingual Models in the Age of Foundation Models.
Proceedings of the 17th International Conference on Computational Processing of Portuguese, 2026

2025
Deep Learning for School Dropout Detection: A Comparison of Tabular and Graph-Based Models for Predicting At-Risk Students.
CoRR, August, 2025

A Systematic Review of ECG Arrhythmia Classification: Adherence to Standards, Fair Evaluation, and Embedded Feasibility.
CoRR, March, 2025

PD-Loss: Proxy-Decidability for Efficient Metric Learning.
Proceedings of the 38th SIBGRAPI Conference on Graphics, Patterns and Images, 2025

Simultaneous Learning Loss for Improved Cross-Domain Knowledge Transfer.
Proceedings of the 38th SIBGRAPI Conference on Graphics, Patterns and Images, 2025

Mitigando Impactos de Distribuições Não-IID em Aprendizagem Federada para Sistemas de Recomendação.
Proceedings of the 40th Brazilian Symposium on Databases, 2025

2024
Evaluating Federated Learning with Homomorphic Encryption for Medical Named Entity Recognition Using Compact BERT Models.
Proceedings of the 15th Brazilian Symposium in Information and Human Language Technology, 2024

Toxic Text Classification in Portuguese: Is LLaMA 3.1 8B All You Need?
Proceedings of the 15th Brazilian Symposium in Information and Human Language Technology, 2024

Periocular EfficientNet: A Deep Model for Periocular Recognition.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2024

Exploring Remote Cardiac Signals for Biometric Verification: A Study Using Eulerian Video Magnification.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2024

Adaptive Client-Dropping in Federated Learning: Preserving Data Integrity in Medical Domains.
Proceedings of the Intelligent Systems - 34th Brazilian Conference, 2024

Bridging the Gap in ECG Classification: Integrating Self-supervised Learning with Human-in-the-Loop Amid Medical Equipment Hardware Constraints.
Proceedings of the Applied Reconfigurable Computing. Architectures, Tools, and Applications, 2024

2023
How Good Is ChatGPT For Detecting Hate Speech In Portuguese?
Proceedings of the 14th Brazilian Symposium in Information and Human Language Technology, 2023

Reptilerecon: Um Arcabouço para Extração e Análise de Sinais de Lagartos.
Proceedings of the 38th Brazilian Symposium on Databases, 2023

Enhancing Stock Market Predictions Through the Integration of Convolutional and Recursive LSTM Blocks: A Cross-market Analysis.
Proceedings of the Intelligent Systems - 12th Brazilian Conference, 2023

Merging Traditional Feature Extraction and Deep Learning for Enhanced Hop Variety Classification: A Comparative Study Using the UFOP-HVD Dataset.
Proceedings of the Intelligent Systems - 12th Brazilian Conference, 2023

2022
Multi-objective approach for multiple clusters detection in data points events.
Commun. Stat. Simul. Comput., 2022

CapsProm: a capsule network for promoter prediction.
Comput. Biol. Medicine, 2022

A Decidability-Based Loss Function.
Proceedings of the International Joint Conference on Neural Networks, 2022

An Efficient Contact Lens Spoofing Classification.
Proceedings of the 24th International Conference on Enterprise Information Systems, 2022

Deep Learning-Based COVID-19 Screening Using Photographs of Chest X-Rays Displayed in Computer Monitors.
Proceedings of the Intelligent Systems - 11th Brazilian Conference, 2022

2021
A deep descriptor for cross-tasking EEG-based recognition.
PeerJ Comput. Sci., 2021

2020
Towards an Effective and Efficient Deep Learning Model for COVID-19 Patterns Detection in X-ray Images.
CoRR, 2020

2019
Chimerical Dataset Creation Protocol Based on <i>Doddington Zoo</i>: A Biometric Application with Face, Eye, and ECG.
Sensors, 2019

2018
QRS Detection in ECG Signal with Convolutional Network.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2018

Multimodal Feature Level Fusion based on Particle Swarm Optimization with Deep Transfer Learning.
Proceedings of the 2018 IEEE Congress on Evolutionary Computation, 2018

2017
Real-Time Single-Shot Brand Logo Recognition.
Proceedings of the 30th SIBGRAPI Conference on Graphics, Patterns and Images, 2017

Convolutional Network for EEG-Based Biometric.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2017

Real-Time Brand Logo Recognition.
Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2017

2015
An Approach to Iris Contact Lens Detection Based on Deep Image Representations.
Proceedings of the 28th SIBGRAPI Conference on Graphics, Patterns and Images, 2015


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