Miguel R. D. Rodrigues

Pontifícia Universidade Católica do Paraná — Brazil

Engineering · Physical Sciences

30h-index6.6kcitations258works2.22yr avg
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Research Topics

Sparse and Compressive Sensing Techniques(87), Advanced Wireless Communication Techniques(33), Wireless Communication Security Techniques(31), Blind Source Separation Techniques(28), Image and Signal Denoising Methods(22)

Publications258 total

Unveiling Open-set Noise: Theoretical Insights into Label Noise
2025Open Access
A Novel Semi‐Automated Pipeline for Optimizing 3D‐Printed Drug Formulations
Advanced Intelligent Systems·2025· 2 citedOpen Access
Author response for "Dual and sequential drug delivery systems with antimicrobial and bone regenerative therapeutic effects"
2025
PROSAC: Provably Safe Certification for Machine Learning Models under Adversarial Attacks
Proceedings of the AAAI Conference on Artificial Intelligence·2025Open Access
Cultural Alignment in Large Language Models Using Soft Prompt Tuning
arXiv (Cornell University)·2025Open Access
A MLOps architecture for near real-time distributed Stream Learning operation deployment
Journal of Network and Computer Applications·2025· 5 cited
Seeing and Reasoning with Confidence: Supercharging Multimodal LLMs with an Uncertainty-Aware Agentic Framework
arXiv (Cornell University)·2025Open Access
AVALIAÇÃO RETROSPECTIVA DO CUIDADO NUTRICIONAL DE PACIENTES CLASSIFICADOS COMO “GRANDES QUEIMADOS”, ATENDIDOS EM UM HOSPITAL PÚBLICO DO DISTRITO FEDERAL REFERÊNCIA EM QUEIMADURAS
Revista fisio&terapia.·2025
AVALIAÇÃO RETROSPECTIVA DO CUIDADO NUTRICIONAL DE PACIENTES CLASSIFICADOS COMO “GRANDES QUEIMADOS”, ATENDIDOS EM UM HOSPITAL PÚBLICO DO DISTRITO FEDERAL  REFERÊNCIA EM QUEIMADURAS
Revista fisio&terapia.·2025
Cloudy with a chance of uncertainty: autoconversion rates forecasting via evidential regression from satellite data – CORRIGENDUM
Environmental Data Science·2025Open Access
On the Challenges of Implementing MLOps for Stream Learning Algorithms
Lecture notes on data engineering and communications technologies·2025
Online End-to-End Learning-Based Predictive Control for Microgrid Energy Management
IEEE Transactions on Control Systems Technology·2024· 3 cited
Exploring the Impact of Additive Shortcuts in Neural Networks via Information Bottleneck-like Dynamics: From ResNet to Transformer
Entropy·2024· 2 citedOpen Access
Smart laser Sintering: Deep Learning-Powered powder bed fusion 3D printing in precision medicine
International Journal of Pharmaceutics·2024· 20 citedOpen Access
Three-dimensional stochastic dynamical modeling for wind farm flow estimation
Journal of Physics Conference Series·2024· 2 citedOpen Access
SAE: Single Architecture Ensemble Neural Networks
arXiv (Cornell University)·2024Open Access
PROSAC: Provably Safe Certification for Machine Learning Models under Adversarial Attacks
arXiv (Cornell University)·2024Open Access
ICON Autoconversion Rates
Zenodo (CERN European Organization for Nuclear Research)·2024Open Access
ICON Autoconversion Rates
Zenodo (CERN European Organization for Nuclear Research)·2024Open Access
Deep Learning-Powered Powder Bed Fusion in Precision Medicine
SSRN Electronic Journal·2024Open Access
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Frequent Co-authors

Wei Chen(7), Robert Calderbank(7), Ian Wassell(6), João F. C. Mota(5), Nikos Deligiannis(5), Ioannis Kanaras(5), Arsenia Chorti(5), Izzat Darwazeh(5), Yonina C. Eldar(5), Francesco Renna(5), Lawrence Carin(5), Matthieu R. Bloch(3), João Barros(3), Jure Sokolić(3), Raja Giryes(3), Guillermo Sapiro(3), Nir Shlezinger(3), Hugo Reboredo(3), Stephen McLaughlin(2), Jialong Xu(2)