Netlab MLP - Performance Evaluation for Pattern Recognition in Myoletric Signal. - Gabriel Cirac Mendes Souza; Robson Luiz Moreno (ANT/SEIT, 2018)

Evaluation of Pattern Recognition in Myoelectric Signal Using Netlab GLM. - Gabriel Cirac Mendes Souza; Robson Luiz Moreno; Tales Cleber Pimenta (MIXDES, 2018)

Pattern Recognition in Myoelectric Signals Using Deep Learning, Features Engineering, and a Graphics Processing Unit. - Gabriel Cirac Mendes Souza; Robson L. Moreno; Tales Cleber Pimenta (IEEE Access, 2020)

Benford's Law and Artificial Intelligence Applied to COVID-19. - Gabriel Cirac Mendes Souza; Robson L. Moreno; Tales C. Pimenta (ICM, 2021)

Deep hierarchical distillation proxy-oil modeling for heterogeneous carbonate reservoirs. - Gabriel Cirac Mendes Souza; Jeanfranco Farfan; Guilherme Daniel Avansi; Denis José Schiozer; Anderson Rocha 001 (Eng. Appl. Artif. Intell., 2023)

A Six-Day Journey Into EMG Signal Analysis Using Prompts. - Gabriel Cirac Mendes Souza; Tales C. Pimenta (ICM, 2024)

End-to-end dimensionality reduction and regression from 3D geological uncertainties to estimate oil reservoir simulations. - Jeanfranco Farfan; Gabriel Cirac Mendes Souza; Guilherme Daniel Avansi; Célio Maschio; Denis José Schiozer; Anderson Rocha 001 (Appl. Soft Comput., 2024)

Few-shot learning and modeling of 3D reservoir properties for predicting oil reservoir production. - Gabriel Cirac Mendes Souza; Guilherme Daniel Avansi; Jeanfranco Farfan; Denis José Schiozer; Anderson Rocha 001 (Neural Comput. Appl., 2024)

Cross-Domain Feature learning and data augmentation for few-shot proxy development in oil industry. - Gabriel Cirac Mendes Souza; Jeanfranco Farfan; Guilherme Daniel Avansi; Denis José Schiozer; Anderson Rocha 001 (Appl. Soft Comput., 2024)