Mauro Roisenberg
Cited by
Cited by
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
Bayesian seismic inversion based on rock-physics prior modeling for the joint estimation of acoustic impedance, porosity and lithofacies
LP de Figueiredo, D Grana, M Santos, W Figueiredo, M Roisenberg, ...
Journal of Computational Physics 336, 128-142, 2017
Gaussian mixture Markov chain Monte Carlo method for linear seismic inversion
LP de Figueiredo, D Grana, M Roisenberg, BB Rodrigues
Geophysics 84 (3), R463-R476, 2019
Multimodal Markov chain Monte Carlo method for nonlinear petrophysical seismic inversion
LP de Figueiredo, D Grana, M Roisenberg, BB Rodrigues
Geophysics 84 (5), M1-M13, 2019
Optimization of neural networks through grammatical evolution and a genetic algorithm
LML De Campos, RCL de Oliveira, M Roisenberg
Expert Systems with Applications 56, 368-384, 2016
A hybrid fuzzy-probabilistic system for risk analysis in petroleum exploration prospects
M Roisenberg, C Schoeninger, RR da Silva
Expert Systems with Applications 36 (3), 6282-6294, 2009
Bayesian framework to wavelet estimation and linearized acoustic inversion
LP de Figueiredo, M Santos, M Roisenberg, GS Neto, W Figueiredo
IEEE Geoscience and Remote Sensing Letters 11 (12), 2130-2134, 2014
Risk assessment of drilling and completion operations in petroleum wells using a Monte Carlo and a neural network approach
DK Coelho, M Roisenberg, PJ F Filho, CMC Jacinto
Proceedings of the Winter Simulation Conference, 2005., 6 pp., 2005
Deep recurrent neural networks approach to sedimentary facies classification using well logs
DT dos Santos, M Roisenberg, M dos Santos Nascimento
IEEE Geoscience and Remote Sensing Letters 19, 1-5, 2021
Network intrusion detection system using data mining
LML de Campos, RCL de Oliveira, M Roisenberg
Engineering Applications of Neural Networks: 13th International Conference …, 2012
Emergência da inteligência em agentes autônomos através de modelos inspirados na natureza
M Roisenberg
Florianópolis, SC, 1998
Spatial interpolation: an analytical comparison between kriging and RBF networks
VS Fazio, M Roisenberg
Proceedings of the 28th Annual ACM Symposium on Applied Computing, 2-7, 2013
Automatic design of neural networks with l-systems and genetic algorithms-a biologically inspired methodology
LML De Campos, M Roisenberg, RCL de Oliveira
The 2011 international joint conference on neural networks, 1199-1206, 2011
Optimization models and prediction of drilling rate (ROP) for the Brazilian pre-salt layer
CC Jacinto, PJ Freitas Filho, SM Nassar, M Rosenberg, DG Rodrigues, ...
Chemical Engineering Transactions 33, 823-828, 2013
Fast seismic inversion methods using ant colony optimization algorithm
CR Conti, M Roisenberg, GS Neto, MJ Porsani
IEEE Geoscience and Remote Sensing Letters 10 (5), 1119-1123, 2013
Embodied evolution with a new genetic programming variation algorithm
ALF Perez, G Bittencourt, M Roisenberg
Fourth International Conference on Autonomic and Autonomous Systems (ICAS'08 …, 2008
Redes Neurais Artificiais: um breve tutorial
Laboratório de Conexionismo e Ciências Cognitivas, Universidade Federal de …, 2003
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
Simulation of crowd behavior using fuzzy social force model
A Del Sent, M Roisenberg, PJ de Freitas Filho
2015 Winter Simulation Conference (WSC), 3901-3912, 2015
Hydrogeochemical spatialization and controls of the Serra Geral Aquifer System in southern Brazil: A regional approach by self-organizing maps and k-means clustering
MR Santos, A Roisenberg, F Iwashita, M Roisenberg
Journal of Hydrology 591, 125602, 2020
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