Rodrigo de Paula Monteiro

According to our database, Rodrigo de Paula Monteiro authored at least 14 papers between 2017 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

Forecasting Imminent Failures in Electrical Industrial Centrifuge using Machine Learning.

Leandro Ferreira Moura Filho, Rodrigo de Paula Monteiro, Diego Pinheiro, Patricia Takako Endo, Andrea Maria Nogueira Cavalcanti Ribeiro

Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2023

Regularizing Neural Networks with Noise Injection for Classification of Brain Tumor in Magnetic Resonance Imaging.

Umberto Tenório de Barros Filho, Paulo Rocha, Marcos Oliveira, Andrea Maria Nogueira Cavalcanti Ribeiro, Rodrigo de Paula Monteiro, Diego Pinheiro

Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2023

2022

A hybrid prototype selection-based deep learning approach for anomaly detection in industrial machines.

Rodrigo de Paula Monteiro, Mariela Cerrada-Lozada, Diego Roman Cabrera Mendieta, René-Vinicio Sánchez, Carmelo José Albanez Bastos Filho

Expert Syst. Appl., 2022

2021

Analysis of Distinct Feature Groups in the Credit Scoring Problem.

Luiz Felipe Vieira Verçosa, Rodrigo C. Lira, Rodrigo P. Monteiro, Kleber D. M. Silva, Jailson O. L. Magalhães, Alexandre M. A. Maciel, Byron L. D. Bezerra, Carmelo J. A. Bastos Filho

J. Inf. Data Manag., 2021

2020

Mild Cognitive Impairment Diagnosis and Detecting Possible Labeling Errors in Alzheimer's Disease with an Unsupervised Learning-based Approach.

Gabriel A. Lima, Rodrigo P. Monteiro, Paulo Rocha, Anthony José da Cunha Carneiro Lins, Carmelo J. A. Bastos Filho

Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Autoencoder latent space: an empirical study.

Leticia V. N. Lapenda, Rodrigo P. Monteiro, Carmelo J. A. Bastos Filho

Proceedings of the 2020 IEEE Symposium Series on Computational Intelligence, 2020

Guitar Tuner and Song Performance Evaluation Using a NAO robot.

Rodrigo Melo, Rodrigo de Paula Monteiro, José Paulo G. de Oliveira, Bruno de Souza Jeronimo, Carmelo J. A. Bastos Filho, Anna Priscilla de Albuquerque, Judith Kelner

Proceedings of the Latin American Robotics Symposium, 2020

Using Kullback-Leibler Divergence to Identify Prominent Sensor Data for Fault Diagnosis.

Rodrigo P. Monteiro, Carmelo J. A. Bastos Filho

Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2020, 2020

2019

Using a Support Vector Machine Based Decision Stage to Improve the Fault Diagnosis on Gearboxes.

Rodrigo P. Monteiro, Mariela Cerrada, Diego Cabrera, René-Vinicio Sánchez, Carmelo J. A. Bastos Filho

Comput. Intell. Neurosci., 2019

Detecting Defects in Sanitary Wares Using Deep Learning.

Rodrigo P. Monteiro, Carmelo J. A. Bastos Filho

Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2019

2018

Improving the Performance of the Fish School Search Algorithm.

Rodrigo P. Monteiro, Luiz Felipe Vieira Verçosa, Carmelo J. A. Bastos Filho

Int. J. Swarm Intell. Res., 2018

Improving Adaptive Filters for Active Noise Control Using Particle Swarm Optimization.

Rodrigo P. Monteiro, Gabriel A. Lima, José P. G. Oliveira, Daniel S. C. Cunha, Carmelo J. A. Bastos Filho

Int. J. Swarm Intell. Res., 2018

2017

Combining a novel feeding operator and recent advances to improve the fish school search.

Luiz Felipe Vieira Verçosa, Carmelo José Albanez Bastos Filho, Rodrigo P. Monteiro

Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2017

Accelerating the convergence of adaptive filters for active noise control using particle swarm optimization.

Rodrigo P. Monteiro, Gabriel A. Lima, José P. G. Oliveira, Daniel S. C. Cunha, Carmelo J. A. Bastos Filho

Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2017