Publications
Key references
See my publications also at Google Scholar
.
2024. Physics-Informed Neural Nets for Control of Dynamical Systems. Neurocomputing. 579
(1014.48 KB)
(1014.48 KB) .
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) 
] .
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).
.
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).
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).
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).
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).
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).
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).
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).
2007. Generative Modeling of Autonomous Robots and their Environments using Reservoir Computing. Neural Processing Letters. 26:233–249. (8.43 MB)
(8.43 MB).
2008. Event detection and localization for small mobile robots using reservoir computing. Neural Networks. 21:862–871. (2.68 MB)
(2.68 MB).
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).
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).
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).
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).
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).
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).
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).
2011. Reservoir Computing Architectures for Modeling Robot Navigation Systems. (21.33 MB)
(21.33 MB).
2012. Learning Slow Features with Reservoir Computing for Biologically-inspired Robot Localization. Neural Networks. 25:178-190. (2.77 MB)
(2.77 MB).
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).
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).
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).
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).
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).
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).
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).
2018. Reservoir Computing for Detection of Steady State in Performance Tests of Compressors. Neurocomputing. 275:607. (876.98 KB)
(876.98 KB).
2019. On importance weighting for electric fraud detection with dataset shifts. IEEE International Conference on Systems, Man, and Cybernetics (SMC). :3215-3222.
.
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).
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).
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).
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).
2021. Face Reconstruction with Variational Autoencoder and Face Masks. 18th Encontro Nacional de Inteligência Artificial e Computacional (ENIAC 2021).
.
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).
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).
2022. Nonlinear Model Predictive Control of Electrical Submersible Pumps based on Echo State Networks . Advanced Engineering Informatics. 52 (633.48 KB)
(633.48 KB).
2023. Benford's law: what does it say on adversarial images? Journal of Visual Communication and Image Representation. 93
.
2023. Investigation of Proper Orthogonal Decomposition for Echo State Networks. Neurocomputing. :126395. (555.51 KB)
(555.51 KB).
2024. Hierarchical Generative Adversarial Imitation Learning with Mid-level Input Generation for Autonomous Driving on Urban Environments. IEEE Transactions on Intelligent Vehicles. (3.22 MB)
(3.22 MB).
2024. Physics-Informed Neural Nets for Control of Dynamical Systems. Neurocomputing. 579 (1014.48 KB)
(1014.48 KB).
2024. Physics-Informed Neural Networks with Skip Connections for Modeling and Control of Gas-Lifted Oil Wells. Applied Soft Computing. 158 (1.83 MB)
(1.83 MB)