Mauro Roisenberg

According to our database1, Mauro Roisenberg authored at least 45 papers between 1996 and 2021.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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PhD thesis 
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Bibliography

2021
Direct Multivariate Simulation - A stepwise conditional transformation for multivariate geostatistical simulation.
Comput. Geosci., 2021

Multi-view 3D seismic facies classifier.
Proceedings of the SAC '21: The 36th ACM/SIGAPP Symposium on Applied Computing, 2021

2020
Efficient 3D Semantic Segmentation of Seismic Images using Orthogonal Planes 2D Convolutional Neural Networks.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019
Acoustic Impedance Deblurring With a Deep Convolution Neural Network.
IEEE Geosci. Remote. Sens. Lett., 2019

Filter Pruning for Efficient Transfer Learning in Deep Convolutional Neural Networks.
Proceedings of the Artificial Intelligence and Soft Computing, 2019

2018
Combined Convolutional Neural Network for High Frequency Restoration in Acoustic Impedance Images.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Adaptive Missing Data Imputation with Incremental Neuro-Fuzzy Gaussian Mixture Network (INFGMN).
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Petroleum Reservoir Connectivity Patterns Reconstruction Using Deep Convolutional Generative Adversarial Networks.
Proceedings of the 7th Brazilian Conference on Intelligent Systems, 2018

2017
Hybrid Global Stochastic and Bayesian Linearized Acoustic Seismic Inversion Methodology.
IEEE Trans. Geosci. Remote. Sens., 2017

Bayesian seismic inversion based on rock-physics prior modeling for the joint estimation of acoustic impedance, porosity and lithofacies.
J. Comput. Phys., 2017

INFGMN - Incremental Neuro-Fuzzy Gaussian mixture network.
Expert Syst. Appl., 2017

2016
Optimization of neural networks through grammatical evolution and a genetic algorithm.
Expert Syst. Appl., 2016

Improving the Incremental Gaussian Mixture Neural Network model for spatial interpolation and geostatistical simulation.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

A hybrid neuro-evolutive algorithm for neural network optimization.
Proceedings of the 2016 International Joint Conference on Neural Networks, 2016

Using Machine Learning Techniques to Recover Prismatic Cirrus Ice Crystal Size from 2-Dimensional Light Scattering Patterns.
Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2016, 2016

Fast spatially coupled Bayesian linearized acoustic seismic inversion in Time Domain.
Proceedings of the XVII Brazilian Symposium on Geoinformatics, 2016

2015
Simulation of crowd behavior using fuzzy social force model.
Proceedings of the 2015 Winter Simulation Conference, 2015

Smart Crawler: Using Committee Machines for\\Web Pages Continuous Classification.
Proceedings of the 21st Brazilian Symposium on Multimedia and the Web, 2015

Evolving Artificial Neural Networks through L-system and evolutionary computation.
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015

Fuzzy Social Force Model.
Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015

Probabilistic Fuzzy Bayesian Network.
Proceedings of the 12th International Conference on Fuzzy Systems and Knowledge Discovery, 2015

Probabilistic Fuzzy Naive Bayes.
Proceedings of the 2015 Brazilian Conference on Intelligent Systems, 2015

2014
Bayesian Framework to Wavelet Estimation and Linearized Acoustic Inversion.
IEEE Geosci. Remote. Sens. Lett., 2014

Generating interpretable Mamdani-type fuzzy rules using a neuro-fuzzy system based on radial basis functions.
Proceedings of the IEEE International Conference on Fuzzy Systems, 2014

A topological niching covariance matrix adaptation for multimodal optimization.
Proceedings of the IEEE Congress on Evolutionary Computation, 2014

2013
Comparative study on local and global strategies for confidence estimation in neural networks and extensions to improve their predictive power.
Neural Comput. Appl., 2013

Fast Seismic Inversion Methods Using Ant Colony Optimization Algorithm.
IEEE Geosci. Remote. Sens. Lett., 2013

Spatial interpolation: an analytical comparison between kriging and RBF networks.
Proceedings of the 28th Annual ACM Symposium on Applied Computing, 2013

2012
Network Intrusion Detection System Using Data Mining.
Proceedings of the Engineering Applications of Neural Networks, 2012

ACOℝ-V - An algorithm that incorporates the visibility heuristic to the ACO in continuous domain.
Proceedings of the IEEE Congress on Evolutionary Computation, 2012

2011
Automatic design of Neural Networks with L-Systems and genetic algorithms - A biologically inspired methodology.
Proceedings of the 2011 International Joint Conference on Neural Networks, 2011

2010
Efficient Confidence Bounds for RBF Networks for Sparse and High Dimensional Data.
Proceedings of the Artificial Neural Networks - ICANN 2010, 2010

2009
A hybrid fuzzy-probabilistic system for risk analysis in petroleum exploration prospects.
Expert Syst. Appl., 2009

A method to estimate prediction intervals for artificial neural networks that is sensitive to the noise distribution in the outputs.
Proceedings of the International Joint Conference on Neural Networks, 2009

2008
A new approach to control a population of mobile robots using genetic programming.
Proceedings of the 2008 ACM Symposium on Applied Computing (SAC), 2008

The development of a hybrid, distributed architecture for multiagent systems and its application in robot soccer.
Proceedings of the International Joint Conference on Neural Networks, 2008

Embodied Evolution with a New Genetic Programming Variation Algorithm.
Proceedings of the Fourth International Conference on Autonomic and Autonomous Systems, 2008

2006
Continuous Authentication by Keystroke Dynamics Using Committee Machines.
Proceedings of the Intelligence and Security Informatics, 2006

2005
Risk assessment of drilling and completion operations in petroleum wells using a Monte Carlo and a neural network approach.
Proceedings of the 37th Winter Simulation Conference, Orlando, FL, USA, December 4-7, 2005, 2005

2004
Formal languages aspects as a tool for representation and implementation of behavior-based robotics.
Proceedings of the 2004 IEEE Conference on Robotics, Automation and Mechatronics, 2004

Behavior implementation in autonomous agents using modular and hierarchical neural networks.
Proceedings of the 2004 IEEE Conference on Robotics, Automation and Mechatronics, 2004

2003
Employing Recurrent Artificial Neural Networks for Developing Baselines for Proactive Network Management.
Proceedings of the IASTED International Conference on Neural Networks and Computational Intelligence, 2003

2000
Constructing Software Autonomous Agents to Computer Network Management.
Proceedings of the 6th Brazilian Symposium on Neural Networks (SBRN 2000), 2000

1998
Emergência da inteligência em agentes autônomos através de modelos inspirados na natureza.
PhD thesis, 1998

1996
Biological Inspirations in Neural Network Implementations of Autonomous Agents.
Proceedings of the Advances in Artificial Intelligence, 1996


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