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Publications

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Author Title Type [ Year(Desc)]
2004
Antonelo EA, Figueiredo M.  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)
2005
Calvo R, Antonelo EA, Figueiredo M.  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)
Antonelo EA, Figueiredo M, Baerlvedt A-J, Calvo R.  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)
2007
Antonelo EA, Schrauwen B, Dutoit X, Stroobandt D, Nuttin M.  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)
Antonelo EA, Schrauwen B, Stroobandt D.  2007.  Experiments with Reservoir Computing on the road sign problem. Proceedings of the VIII Brazilian Congress on Neural Networks (CBRN).  (221.65 KB)
Antonelo EA, Schrauwen B, Van Campenhout J.  2007.  Generative Modeling of Autonomous Robots and their Environments using Reservoir Computing. Neural Processing Letters. 26:233–249. (8.43 MB)
2008
Antonelo EA, Schrauwen B, Stroobandt D.  2008.  Event detection and localization for small mobile robots using reservoir computing. Neural Networks. 21:862–871. (2.68 MB)
Antonelo EA, Schrauwen B, Stroobandt D.  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)
Antonelo EA, Schrauwen B, Stroobandt D.  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)
Antonelo EA, Schrauwen B, Stroobandt D.  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)
2009
Antonelo EA, Schrauwen B.  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)
Waegeman T, Antonelo EA, wyffels F, Schrauwen B.  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)
Antonelo EA, Schrauwen B.  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)
Antonelo EA, Schrauwen B, Stroobandt D.  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)
2010
Antonelo EA, Schrauwen B.  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)
2015
Antonelo EA, Camponogara E.  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)
Antonelo EA, Schrauwen B.  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)
Antonelo EA, Camponogara E, Plucenio A.  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)
2016
Fan Y, Nowaczyk S, Rögnvaldsson T, Antonelo EA.  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)
2017
Antonelo EA, Camponogara E, Foss B.  2017.  Echo State Networks for Data-driven Downhole Pressure Estimation in Gas-lift Oil Wells. Neural Networks. 85:106-117. (913.18 KB)
Antonelo EA, State R.  2017.  Recurrent Dynamical Projection for Time series-based Fraud detection. International Conference on Artificial Neural Networks (ICANN). :503-511. (372.58 KB)
Jordanou JPanaioti, Antonelo EA, Camponogara E, de Aguiar MAurelio S.  2017.  Recurrent Neural Network based control of an Oil Well. XIII Brazilian Symposium on Intelligent Automation (SBAI). :924-931. (412.17 KB)
2018
Jordanou JPanaioti, Camponogara E, Antonelo EA, de Aguiar MAurelio S.  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)
Antonelo EA, Flesch CA, Schmitz F.  2018.  Reservoir Computing for Detection of Steady State in Performance Tests of Compressors. Neurocomputing. 275:607. (876.98 KB)
2019
Antonelo EA, State R.  2019.  On importance weighting for electric fraud detection with dataset shifts. IEEE International Conference on Systems, Man, and Cybernetics (SMC). :3215-3222.
Jordanou JP, Antonelo EA, Camponogara E.  2019.  Online Learning Control with Echo State Networks of an Oil Production Platform. Engineering Applications of Artificial Intelligence. 85:214-228. (512.33 KB)
2020
Zago JG, Antonelo EA, Baldissera FL, Saad RT.  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)
2021
Parizotto LMilena Sch, Antonelo EA.  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)
Jordanou JPanaioti, Antonelo EAislan, Camponogara E.  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)
Toledo RS, Antonelo EA.  2021.  Face Reconstruction with Variational Autoencoder and Face Masks. 18th Encontro Nacional de Inteligência Artificial e Computacional (ENIAC 2021).
Couto GClaudio Ka, Antonelo EA.  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)
Petrazzini IGB, Antonelo EA.  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)

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