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ORCIDGuenther Schwedersky Neto
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2010 – 2019
- 2017
[j4]Leandro Passos de Figueiredo
, Dario Grana, Marcio Santos, Wagner Figueiredo, Mauro Roisenberg, Guenther Schwedersky Neto:
Bayesian seismic inversion based on rock-physics prior modeling for the joint estimation of acoustic impedance, porosity and lithofacies. J. Comput. Phys. 336: 128-142 (2017)- [j3]Fernando Luis Bordignon, Leandro Passos de Figueiredo, Leonardo Azevedo, Amílcar Soares, Mauro Roisenberg, Guenther Schwedersky Neto:
Hybrid Global Stochastic and Bayesian Linearized Acoustic Seismic Inversion Methodology. IEEE Trans. Geosci. Remote. Sens. 55(8): 4457-4464 (2017) - 2016
- [c5]Sérgio Aurélio Ferreira Soares, Guenther Schwedersky Neto, Mauro Roisenberg:
Improving the Incremental Gaussian Mixture Neural Network model for spatial interpolation and geostatistical simulation. IJCNN 2016: 2507-2514 - 2014
- [j2]Leandro Passos de Figueiredo, Marcio Santos, Mauro Roisenberg, Guenther Schwedersky Neto, Wagner Figueiredo:
Bayesian Framework to Wavelet Estimation and Linearized Acoustic Inversion. IEEE Geosci. Remote. Sens. Lett. 11(12): 2130-2134 (2014) - [c4]Marcio Weck Pereira, Guenther Schwedersky Neto, Mauro Roisenberg:
A topological niching covariance matrix adaptation for multimodal optimization. IEEE Congress on Evolutionary Computation 2014: 2562-2569 - 2013
- [j1]Cassio Rodrigo Conti, Mauro Roisenberg, Guenther Schwedersky Neto, Milton José Porsani:
Fast Seismic Inversion Methods Using Ant Colony Optimization Algorithm. IEEE Geosci. Remote. Sens. Lett. 10(5): 1119-1123 (2013) - 2012
- [c3]Cassio Rodrigo Conti, Mauro Roisenberg, Guenther Schwedersky Neto:
ACOℝ-V - An algorithm that incorporates the visibility heuristic to the ACO in continuous domain. IEEE Congress on Evolutionary Computation 2012: 1-8 - 2010
- [c2]Abner Rodrigues Neto, Mauro Roisenberg, Guenther Schwedersky Neto:
Efficient Confidence Bounds for RBF Networks for Sparse and High Dimensional Data. ICANN (3) 2010: 423-428
2000 – 2009
- 2009
- [c1]Cicero A. M. da Silva Neves, Mauro Roisenberg, Guenther Schwedersky Neto:
A method to estimate prediction intervals for artificial neural networks that is sensitive to the noise distribution in the outputs. IJCNN 2009: 2238-2242
Coauthor Index
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