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Author [ Title(Desc)] Type Year
Filters: First Letter Of Last Name is A and Author is Eric A. Antonelo  [Clear All Filters]
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, 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)
B
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
C
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)
D
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)
E
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, 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, 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, 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)
F
Toledo RS, Antonelo EA.  2021.  Face Reconstruction with Variational Autoencoder and Face Masks. 18th Encontro Nacional de Inteligência Artificial e Computacional (ENIAC 2021).
I
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)
M
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)
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)
N
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, 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).
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)
O
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)
S
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, 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)
T
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)
U
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)

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