Publications
Key references
See my publications also at Google Scholar
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2015. On Learning Navigation Behaviors for Small Mobile Robots With Reservoir Computing Architectures. IEEE Transactions on Neural Networks and Learning Systems. 26:763-780.
(5.14 MB)
(5.14 MB) .
2012. Learning Slow Features with Reservoir Computing for Biologically-inspired Robot Localization. Neural Networks. 25:178-190. (2.77 MB)
(2.77 MB) .
2011. Reservoir Computing Architectures for Modeling Robot Navigation Systems. (21.33 MB)
(21.33 MB) .
2007. Generative Modeling of Autonomous Robots and their Environments using Reservoir Computing. Neural Processing Letters. 26:233–249. (8.43 MB)
(8.43 MB) 
] .
2004. Autonomous intelligent systems applied to robot navigation: spatial concept acquisition and object discrimination. 2nd National Meeting of Intelligent Robotics (II ENRI) in the Congress of the Brazilian Computer Society (in Portuguese). (306.15 KB)
(306.15 KB).
2023. Benford's law: what does it say on adversarial images? Journal of Visual Communication and Image Representation. 93
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2021. Cone Detection with Convolutional Neural Networks for an Autonomous Formula Student Race Car. 26th ABCM International Congress of Mechanical Engineering (COBEM 2021). (8.5 MB)
(8.5 MB).
2009. On Different Learning Approaches with Echo State Networks for Localization of Small Mobile Robots. Proceedings of the IX Brazilian Conference on Neural Networks (CBRN). (462.83 KB)
(462.83 KB).
2015. An Echo State Network-based Soft Sensor of Downhole Pressure for a Gas-lift Oil Well. 16th International Conference on Engineering Applications of Neural Networks. Communications in Computer and Information Science, vol 517:379-389. (1010.5 KB)
(1010.5 KB).
2017. Echo State Networks for Data-driven Downhole Pressure Estimation in Gas-lift Oil Wells. Neural Networks. 85:106-117. (913.18 KB)
(913.18 KB).
2021. Echo State Networks for Practical Nonlinear Model Predictive Control of Unknown Dynamic Systems. IEEE Transactions on Neural Networks and Learning Systems. :1-15. (1.01 MB)
(1.01 MB).
2008. Event detection and localization for small mobile robots using reservoir computing. Neural Networks. 21:862–871. (2.68 MB)
(2.68 MB).
2007. Event detection and localization in mobile robot navigation using reservoir computing. Artificial Neural Networks -- ICANN 2007. Lecture Notes in Computer Science, vol 4669:660-669. (294.37 KB)
(294.37 KB).
2005. Evolutionary fuzzy system for architecture control in a constructive neural network. 6th IEEE International Symposium on Computational Intelligence in Robotics and Automation. :541-546. (117.01 KB)
(117.01 KB).
2007. Experiments with Reservoir Computing on the road sign problem. Proceedings of the VIII Brazilian Congress on Neural Networks (CBRN). (221.65 KB)
(221.65 KB).
2021. Face Reconstruction with Variational Autoencoder and Face Masks. 18th Encontro Nacional de Inteligência Artificial e Computacional (ENIAC 2021).
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2021. Generative Adversarial Imitation Learning for End-to-End Autonomous Driving on Urban Environments. 2021 IEEE Symposium Series on Computational Intelligence (SSCI). :1-7. (2.32 MB)
(2.32 MB).
2007. Generative Modeling of Autonomous Robots and their Environments using Reservoir Computing. Neural Processing Letters. 26:233–249. (8.43 MB)
(8.43 MB).
Submitted. Hierarchical Generative Adversarial Imitation Learning with Mid-level Input Generation for Autonomous Driving on Urban Environments. arXiv preprint arXiv:2302.04823.
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2008. Imitation Learning of an Intelligent Navigation System for Mobile Robots using Reservoir Computing. Proceedings of the 10th Brazilian Symposium on Neural Networks (SBRN). :93-98. (1.14 MB)
(1.14 MB).
2019. On importance weighting for electric fraud detection with dataset shifts. IEEE International Conference on Systems, Man, and Cybernetics (SMC). :3215-3222.
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2005. Intelligent autonomous navigation for mobile robots: spatial concept acquisition and object discrimination. Proceedings of the 6th IEEE International Symposium on Computational Intelligence in Robotics and Automation. :553-557. (138.33 KB)
(138.33 KB).
2023. Investigation of Proper Orthogonal Decomposition for Echo State Networks. Neurocomputing. :126395. (555.51 KB)
(555.51 KB).
2020. It is double pleasure to deceive the deceiver: disturbing classifiers against adversarial attacks. 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC). :160-165. (544.72 KB)
(544.72 KB).
2011. Learning navigation attractors for mobile robots with reinforcement learning and reservoir computing. Proceedings of the X Brazilian Congress on Computational Intelligence (CBIC). (1.98 MB)
(1.98 MB).
2015. On Learning Navigation Behaviors for Small Mobile Robots With Reservoir Computing Architectures. IEEE Transactions on Neural Networks and Learning Systems. 26:763-780. (5.14 MB)
(5.14 MB).
2012. Learning Slow Features with Reservoir Computing for Biologically-inspired Robot Localization. Neural Networks. 25:178-190. (2.77 MB)
(2.77 MB).
2008. Mobile Robot Control in the Road Sign Problem using Reservoir Computing Networks. Proceedings of the IEEE Int. Conf. on Robotics and Automation (ICRA). :911-916. (399.06 KB)
(399.06 KB).
2008. Modeling Multiple Autonomous Robot Behaviors and Behavior Switching with a Single Reservoir Computing Network. Proceedings of the IEEE International Conference on Systems, Man and Cybernetics. :1843–1848. (813.18 KB)
(813.18 KB).
2006. Modular Neural Network and Classical Reinforcement Learning for Autonomous Robot Navigation: Inhibiting Undesirable Behaviors. Proceedings of the International Joint Conference on Neural Networks (IJCNN). :498-505. (471.36 KB)
(471.36 KB).
2009. Modular reservoir computing networks for imitation learning of multiple robot behaviors. Proc. of the IEEE Int. Symp. on Computational Intelligence in Robotics and Automation (CIRA). :27-32. (2.34 MB)
(2.34 MB).
2006. A Neural Reinforcement Learning Approach for Behavior Acquisition in Intelligent Autonomous Systems. Master of Science with a major in Computer Systems Engineering (5.34 MB)
(5.34 MB).
2002. Neural structures for modeling of biological declarative memory applied to robot autonomous navigation systems. 4th Forum of Informatics and Technology of Maringá (FITEM) (in Portuguese).
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2018. Nonlinear Model Predictive Control of an Oil Well with Echo State Networks. IFAC-PapersOnLine (3rd IFAC Workshop on Automatic Control in Offshore Oil and Gas Production OOGP 2018). 51:13-18. (386.53 KB)
(386.53 KB).
2022. Nonlinear Model Predictive Control of Electrical Submersible Pumps based on Echo State Networks . Advanced Engineering Informatics. 52 (633.48 KB)
(633.48 KB).
2019. Online Learning Control with Echo State Networks of an Oil Production Platform. Engineering Applications of Artificial Intelligence. 85:214-228. (512.33 KB)
(512.33 KB).
Submitted. Physics-Informed Neural Nets for Control of Dynamical Systems. arXiv preprint arXiv:2104.02556.
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2016. Predicting Air Compressor Failures with Echo State Networks. Third European Conference of the Prognostics and Health Management Society 2016, Bilbao, Spain, 5-8 July, 2016. (3.81 MB)
(3.81 MB).
2021. Proximal Policy Optimization with Continuous Bounded Action Space via the Beta Distribution. 2021 IEEE Symposium Series on Computational Intelligence (SSCI). :1-8. (473.16 KB)
(473.16 KB).
2017. Recurrent Dynamical Projection for Time series-based Fraud detection. International Conference on Artificial Neural Networks (ICANN). :503-511. (372.58 KB)
(372.58 KB).
2017. Recurrent Neural Network based control of an Oil Well. XIII Brazilian Symposium on Intelligent Automation (SBAI). :924-931. (412.17 KB)
(412.17 KB).
2011. Reservoir Computing Architectures for Modeling Robot Navigation Systems. (21.33 MB)
(21.33 MB).
2018. Reservoir Computing for Detection of Steady State in Performance Tests of Compressors. Neurocomputing. 275:607. (876.98 KB)
(876.98 KB).
2010. Supervised Learning of Internal Models for Autonomous Goal-oriented Robot Navigation using Reservoir Computing. Proceedings of the IEEE International Conference on Robotics and Automation. :2959-2964. (1.46 MB)
(1.46 MB).
2015. System Identification of a Vertical Riser Model with Echo State Networks. IFAC-PapersOnLine (2nd IFAC Workshop on Automatic Control in Offshore Oil and Gas Production). 48(6):304-310. (549.4 KB)
(549.4 KB).
2009. Towards Autonomous Self-localization of Small Mobile Robots using Reservoir Computing and Slow Feature Analysis. Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics (SMC). :3818–3823. (2.76 MB)
(2.76 MB).
2009. Unsupervised Learning in Reservoir Computing: Modeling Hippocampal Place Cells for Small Mobile Robots. ICANN '09: Proceedings of the 19th International Conference on Artificial Neural Networks. 5768:747-756. (1.12 MB)
(1.12 MB)