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[ Author(Desc)] Title Type Year
A B C D E F G H I J K L M N O P Q R S T U V W X Y Z 
A
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.  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, 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).
Antonelo EA.  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)
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, 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, 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)
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)
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)
Antonelo EA.  2011.  Reservoir Computing Architectures for Modeling Robot Navigation Systems.  (21.33 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)
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, State R.  2017.  Recurrent Dynamical Projection for Time series-based Fraud detection. International Conference on Artificial Neural Networks (ICANN). :503-511. (372.58 KB)
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, 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.  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, Stroobandt D.  2008.  Event detection and localization for small mobile robots using reservoir computing. Neural Networks. 21:862–871. (2.68 MB)
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, Van Campenhout J.  2007.  Generative Modeling of Autonomous Robots and their Environments using Reservoir Computing. Neural Processing Letters. 26:233–249. (8.43 MB)
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)
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, Flesch CA, Schmitz F.  2018.  Reservoir Computing for Detection of Steady State in Performance Tests of Compressors. Neurocomputing. 275:607. (874.79 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)
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.  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)
C
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)
F
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)
W
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)

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