| Uninorm based evolving neural networks and approximation capabilities F Bordignon, F Gomide Neurocomputing 127, 13-20, 2014 | 63 | 2014 |
| Joint Bayesian inversion based on rock-physics prior modeling for the estimation of spatially correlated reservoir properties LP de Figueiredo, D Grana, FL Bordignon, M Santos, M Roisenberg, ... Geophysics 83 (5), M49-M61, 2018 | 46 | 2018 |
| Hybrid global stochastic and Bayesian linearized acoustic seismic inversion methodology FL Bordignon, LP de Figueiredo, L Azevedo, A Soares, M Roisenberg, ... IEEE Transactions on Geoscience and Remote Sensing 55 (8), 4457-4464, 2017 | 8 | 2017 |
| Deep learning for grain size and porosity distributions estimation on micro-CT images F Bordignon, LPD Figueiredo, R Exterkoetter, BB Rodrigues, MD Correia Proceedings of the 16th International Congress of the Brazilian Geophysical …, 2019 | 6 | 2019 |
| Acoustic impedance deblurring with a deep convolution neural network I Sacramento, E Trindade, M Roisenberg, F Bordignon, BB Rodrigues IEEE geoscience and remote sensing letters 16 (2), 315-319, 2018 | 6 | 2018 |
| Diseño y construcción de objetos interactivos digitales (Experimentos con la plataforma Arduino) F Bordignon, A Iglesias Buenos aires: unipe, 30-32, 2015 | 6 | 2015 |
| Extreme learning for evolving hybrid neural networks F Bordignon, F Gomide 2012 Brazilian Symposium on Neural Networks, 196-201, 2012 | 6 | 2012 |
| Strategies for integrating uncertainty in iterative geostatistical seismic inversion P Pereira, F Bordignon, L Azevedo, R Nunes, A Soares Geophysics 84 (2), R207-R219, 2019 | 4 | 2019 |
| Impact of seismic-inversion parameters on reservoir pore volume and connectivity LP de Figueiredo, FL Bordignon, D Grana, M Roisenberg, BB Rodrigues SEG Technical Program Expanded Abstracts 2018, 381-385, 2018 | 3 | 2018 |
| Laboratorios de innovación ciudadana. Espacios para la innovación social F Bordignon Virtualidad, Educación y Ciencia 14 (8), 165-181, 2018 | 2 | 2018 |
| Deep 3D convolutional neural network applied to CT segmented image for rock properties prediction LP de Figueiredo, F Bordignon, R Exterkoetter, BB Rodrigues, M Duarte SEG Technical Program Expanded Abstracts 2019, xxx-xxx, 2019 | | 2019 |
| Petroleum Reservoir Connectivity Patterns Reconstruction Using Deep Convolutional Generative Adversarial Networks R Exterkoetter, F Bordignon, LP de Figueiredo, M Roisenberg, ... 2018 7th Brazilian Conference on Intelligent Systems (BRACIS), 97-102, 2018 | | 2018 |
| Incorporating of Well-log Uncertainties into Iterative Geostatistical Seismic Inversion P Pereira, F Bordignon, L Azevedo, R Nunes, A Soares 80th EAGE Conference and Exhibition 2018 2018 (1), 1-5, 2018 | | 2018 |
| Métodos híbridos para modelagem de incerteza em inversão sísmica acústica e inversão para propriedades petrofísicas FL Bordignon | | 2018 |
| Integration of uncertain well-log data into geostatistical seismic inversion P Pereira, F Bordignon, R Nunes, L Azevedo, A Soares SEG Technical Program Expanded Abstracts 2016, 2921-2925, 2016 | | 2016 |
| Integration of Bayesian Linearized Inversion into Geostatistical Seismic Inversion F Bordignon, L Figueiredo, L Azevedo, A Soares, M Roisenberg, GS Neto 78th EAGE Conference and Exhibition 2016 2016 (1), 1-5, 2016 | | 2016 |
| Fast spatially coupled Bayesian linearized acoustic seismic inversion in Time Domain. F Bordignon, LP de Figueiredo, M Roisenberg, BB Rodrigues GeoInfo, 22-31, 2016 | | 2016 |
| Técnicas Inteligentes para Análise de Agrupamento de Dados FL Bordignon | | 2010 |
| Aprendizado Extremo para Redes Neurais Fuzzy Baseadas em Uninormas FL Bordignon | | |
Mauro RoisenbergProfessor of Computer Science, Federal University of Santa CatarinaVerified email at inf.ufsc.br
