Mauro Roisenberg
Orcid: 0000-0001-9707-0360
According to our database1,
Mauro Roisenberg
authored at least 51 papers
between 1996 and 2024.
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Bibliography
2024
Comput. Geosci., 2024
Fire Scars Mapping Over Brazilian Amazon Forest by Exploiting Sentinel-2 Data and Deep Learning.
Proceedings of the IGARSS 2024, 2024
Detection of Different Crop Growth Stages by Applying Deep Learning Over Sentinel-2 Images of Bahía, Brazil.
Proceedings of the IGARSS 2024, 2024
2023
Proceedings of the International Joint Conference on Neural Networks, 2023
2022
Deep Recurrent Neural Networks Approach to Sedimentary Facies Classification Using Well Logs.
IEEE Geosci. Remote. Sens. Lett., 2022
Identification of Sedimentary Strata by Segmentation Neural Networks of Oblique Photogrammetry of UAVs.
Proceedings of the Intelligent Data Engineering and Automated Learning - IDEAL 2022, 2022
2021
Direct Multivariate Simulation - A stepwise conditional transformation for multivariate geostatistical simulation.
Comput. Geosci., 2021
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
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
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
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
Proceedings of the 2015 Winter Simulation Conference, 2015
Proceedings of the 21st Brazilian Symposium on Multimedia and the Web, 2015
Proceedings of the 2015 International Joint Conference on Neural Networks, 2015
Proceedings of the 2015 IEEE International Conference on Fuzzy Systems, 2015
Proceedings of the 12th International Conference on Fuzzy Systems and Knowledge Discovery, 2015
Proceedings of the 2015 Brazilian Conference on Intelligent Systems, 2015
2014
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
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
IEEE Geosci. Remote. Sens. Lett., 2013
Proceedings of the 28th Annual ACM Symposium on Applied Computing, 2013
2012
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
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
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
Proceedings of the Fourth International Conference on Autonomic and Autonomous Systems, 2008
2006
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
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
Proceedings of the Advances in Artificial Intelligence, 1996