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 (LA-CCI, 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 (LA-CCI, 2017)

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)

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)

Detecting Defects in Sanitary Wares Using Deep Learning. - Rodrigo P. Monteiro; Carmelo J. A. Bastos Filho (LA-CCI, 2019)

Using a Support Vector Machine Based Decision Stage to Improve the Fault Diagnosis on Gearboxes. - Rodrigo P. Monteiro; Mariela Cerrada; Diego Cabrera 001; René-Vinicio Sánchez; Carmelo J. A. Bastos Filho (Comput. Intell. Neurosci., 2019)

Using Kullback-Leibler Divergence to Identify Prominent Sensor Data for Fault Diagnosis. - Rodrigo P. Monteiro; Carmelo J. A. Bastos Filho (IDEAL (1), 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 (LARS/SBR/WRE, 2020)

Autoencoder latent space: an empirical study. - Leticia V. N. Lapenda; Rodrigo P. Monteiro; Carmelo J. A. Bastos Filho (SSCI, 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 002; Anthony José da Cunha Carneiro Lins; Carmelo J. A. Bastos Filho (SSCI, 2020)

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)

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)

Regularizing Neural Networks with Noise Injection for Classification of Brain Tumor in Magnetic Resonance Imaging. - Umberto Tenório de Barros Filho; Paulo Rocha 002; Marcos Oliveira; Andrea Maria Nogueira Cavalcanti Ribeiro; Rodrigo de Paula Monteiro; Diego Pinheiro (LA-CCI, 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 (LA-CCI, 2023)

A Unified Framework for Replicability of Anomaly Detection in Multiple Time Series: Enhancing GANF and RanSynCoders Pipelines with MFCC Feature Extraction for Acoustic Data. - Cristofer Silva; Matheus Coelho; Umberto Tenório de Barros Filho; Andrea Maria Nogueira Cavalcanti Ribeiro; Rodrigo de Paula Monteiro; Diego Pinheiro (LA-CCI, 2024)

Towards the Identification of Money Laundering in Bank Transactions using Recurrent Neural Networks. - Isadora Xavier; Edvaldo Veiga; Andrea Maria Nogueira Cavalcanti Ribeiro; Rodrigo de Paula Monteiro; Marcos Oliveira; Rodrigo Amaro; Diego Pinheiro (LA-CCI, 2024)