Eduardo Luz

30 papers B 2C 1Journal 12Unranked 15
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 — conf
A NAS-Optimized Deep Learning Model for Customer Churn Prediction in Financial Services.
BRACIS (1)
Marcus Almeida, Ivair Silva, Vander L. S. Freitas, Eduardo Luz, Gladston Moreira
2025 J jnl
Enhancing Decision Space Diversity in Multi-Objective Evolutionary Optimization for the Diet Problem.
CoRR
Gustavo V. Nascimento, Ivan Reinaldo Meneghini, Valéria Santos, Eduardo Luz, Gladston Moreira
2025 J jnl
Investigating the Impact of Large-Scale Pre-training on Nutritional Content Estimation from 2D Images.
CoRR
Michele Andrade, Guilherme A. L. Silva, Valéria Santos, Gladston Moreira, Eduardo Luz
2025 — conf
MOPrompt: Multi-objective Semantic Evolution for Prompt Optimization.
STIL
Sara Câmara, Eduardo Luz, Valéria Carvalho, Ivan Reinaldo Meneghini, Gladston Moreira
2025 J jnl
MOPrompt: Multi-objective Semantic Evolution for Prompt Optimization.
CoRR
Sara Câmara, Eduardo Luz, Valéria Carvalho, Ivan Reinaldo Meneghini, Gladston Moreira
2025 — conf
PD-Loss: Proxy-Decidability for Efficient Metric Learning.
SIBGRAPI
Pedro H. L. Silva, Guilherme A. L. Silva, Pablo Coelho, Vander L. S. Freitas, Gladston Moreira, David Menotti, Eduardo 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
2025 — conf
Simultaneous Learning Loss for Improved Cross-Domain Knowledge Transfer.
SIBGRAPI
Pedro Henrique Nascimento Castro, Pedro H. L. Silva, David Menotti, Gladston Moreira, 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
Desafios sobre a Detecção de Discurso de Ódio em Português Brasileiro: Construção de um Novo Corpus e Reflexões sobre o Processo.
AMCIS
Guilherme Lima, Amanda Oliveira, Félix Leonel V. da Silva, Luana Pinheiro, Eduardo Luz, Larissa A. de Freitas
2024 — conf
Evaluating Federated Learning with Homomorphic Encryption for Medical Named Entity Recognition Using Compact BERT Models.
STIL
Marcos F. Pontes, Rodrigo C. Pedrosa, Pedro H. Lopes, 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
Correlations Between Epidemiological Time Series Forecasting and Influence Regions of Brazilian Cities.
GEOINFO
Fernando H. O. Duarte, Vander L. S. Freitas, Gladston Moreira, Eduardo Luz, Leonardo B. L. Santos
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
2022 B conf
A Decidability-Based Loss Function.
IJCNN
Pedro Silva, Gladston Moreira, Vander L. S. Freitas, Rodrigo Silva, David Menotti, Eduardo Luz
2022 — conf
A First Look at Dataset Bias in License Plate Recognition.
SIBGRAPI
Rayson Laroca, Marcelo dos Santos, Valter Estevam, Eduardo Luz, David Menotti
2022 J jnl
A First Look at Dataset Bias in License Plate Recognition.
CoRR
Rayson Laroca, Marcelo dos Santos, Valter Estevam, Eduardo Luz, David Menotti
2022 — conf
An Efficient Contact Lens Spoofing Classification.
ICEIS (1)
Guilherme Silva, Pedro H. L. Silva, Mariana R. F. Mota, Eduardo Luz, Gladston Moreira
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
2022 J jnl
Ocular recognition databases and competitions: a survey.
Artif. Intell. Rev.
Luiz Antonio Zanlorensi, Rayson Laroca, Eduardo Luz, Alceu S. Britto Jr., Luiz S. Oliveira, David Menotti
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
2021 J jnl
Spatial cluster analysis using particle swarm optimization and dispersion function.
Commun. Stat. Simul. Comput.
Dênis Ricardo Xavier de Oliveira, Gladston Moreira, Anderson Ribeiro Duarte, André Luiz Fernandes Cançado, Eduardo Luz
2019 J jnl
Chimerical Dataset Creation Protocol Based on
Sensors
Pedro Henrique Lopes Silva, Eduardo Luz, Gladston Moreira, Lauro Moraes, David Menotti
2018 B conf
Multimodal Feature Level Fusion based on Particle Swarm Optimization with Deep Transfer Learning.
CEC
Pedro H. L. Silva, Eduardo Luz, Luiz Antonio Zanlorensi, David Menotti, 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