Extreme Learning for Evolving Hybrid Neural Networks. - Fernando Bordignon 002; Fernando A. C. Gomide (SBRN, 2012)

Uninorm based evolving neural networks and approximation capabilities. - Fernando Bordignon 002; Fernando A. C. Gomide (Neurocomputing, 2014)

Fast spatially coupled Bayesian linearized acoustic seismic inversion in Time Domain. - Fernando Bordignon 002; Leandro Passos de Figueiredo; Mauro Roisenberg; Bruno Barbosa Rodrigues (GEOINFO, 2016)

Hybrid Global Stochastic and Bayesian Linearized Acoustic Seismic Inversion Methodology. - Fernando Luis Bordignon; Leandro Passos de Figueiredo; Leonardo Azevedo 002; Amílcar Soares 002; Mauro Roisenberg; Guenther Schwedersky Neto (IEEE Trans. Geosci. Remote. Sens., 2017)

Petroleum Reservoir Connectivity Patterns Reconstruction Using Deep Convolutional Generative Adversarial Networks. - Rodrigo Exterkoetter; Fernando Bordignon 002; Leandro Passos de Figueiredo; Mauro Roisenberg; Bruno Barbosa Rodrigues (BRACIS, 2018)

Métodos híbridos para modelagem de incerteza em inversão sísmica acústica e inversão para propriedades petrofísicas - Fernando Luis Bordignon (2018)

Acoustic Impedance Deblurring With a Deep Convolution Neural Network. - Isaac Sacramento; Elton Trindade; Mauro Roisenberg; Fernando Bordignon 002; Bruno Barbosa Rodrigues (IEEE Geosci. Remote. Sens. Lett., 2019)

Deep Feature Extraction for Data Assimilation with Ensemble Smoother. - Rodrigo Exterkoetter; Gustavo Rachid Dutra; Leandro Passos de Figueiredo; Fernando Luis Bordignon; Alexandre Anozé Emerick; Gilson Moura Silva Neto; Mauro Roisenberg (IJCNN, 2023)

Ensemble Smoother with Fully Convolutional VAE for seismic facies inversion. - Rodrigo Exterkoetter; Leandro Passos de Figueiredo; Fernando Luis Bordignon; Alexandre Anozé Emerick; Mauro Roisenberg; Bruno Barbosa Rodrigues (Comput. Geosci., 2024)