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Publications

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Author Title [ Type(Desc)] Year
Conference Paper
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)
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)
Antonelo EA, Depeweg S, Schrauwen B.  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)
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)
Antonelo EA, Figueiredo M.  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).
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)
Conference Proceedings
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)
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, 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)
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, 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)
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)
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, State R.  2019.  On importance weighting for electric fraud detection with dataset shifts. IEEE International Conference on Systems, Man, and Cybernetics (SMC). :3215-3222.
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)
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)
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, Baerlvedt A-J, Rognvaldsson T, Figueiredo M.  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)
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)
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)
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)
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)
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)
Journal Article
Zago JG, Antonelo EA, Baldissera FL, Saad RT.  2023.  Benford's law: what does it say on adversarial images? Journal of Visual Communication and Image Representation. 93
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)
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)
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, Van Campenhout J.  2007.  Generative Modeling of Autonomous Robots and their Environments using Reservoir Computing. Neural Processing Letters. 26:233–249. (8.43 MB)
Couto GClaudio Ka, Antonelo EAislan.  Submitted.  Hierarchical Generative Adversarial Imitation Learning with Mid-level Input Generation for Autonomous Driving on Urban Environments. arXiv preprint arXiv:2302.04823.
Jordanou JPanaioti, Antonelo EAislan, Camponogara E, Gildin E.  2023.  Investigation of Proper Orthogonal Decomposition for Echo State Networks. Neurocomputing. :126395. (555.51 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, Schrauwen B.  2012.  Learning Slow Features with Reservoir Computing for Biologically-inspired Robot Localization. Neural Networks. 25:178-190. (2.77 MB)
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)
Jordanou JPanaioti, Osnes I, Hernes SB, Camponogara E, Antonelo EAislan, Imsland L.  2022.  Nonlinear Model Predictive Control of Electrical Submersible Pumps based on Echo State Networks  . Advanced Engineering Informatics. 52 (633.48 KB)
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)
Antonelo EA, Camponogara E, Seman LOriel, de Souza ERehbein, Jordanou JPanaioti, Hübner JFred.  2024.  Physics-Informed Neural Nets for Control of Dynamical Systems. Neurocomputing. 579 (1014.48 KB)
Kittelsen JEkeland, Antonelo EAislan, Camponogara E, Imsland LStruen.  Submitted.  Physics-Informed Neural Networks with Skip Connections for Modeling and Control of Gas-Lifted Oil Wells.
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)
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)

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