| Event detection and localization for small mobile robots using reservoir computing EA Antonelo, B Schrauwen, D Stroobandt Neural Networks 21 (6), 862-871, 2008 | 111 | 2008 |
| On learning navigation behaviors for small mobile robots with reservoir computing architectures EA Antonelo, B Schrauwen IEEE transactions on neural networks and learning systems 26 (4), 763-780, 2014 | 71 | 2014 |
| Echo state networks for data-driven downhole pressure estimation in gas-lift oil wells EA Antonelo, E Camponogara, B Foss Neural Networks 85, 106-117, 2017 | 67 | 2017 |
| Generative modeling of autonomous robots and their environments using reservoir computing EA Antonelo, B Schrauwen, J Van Campenhout Neural Processing Letters 26, 233-249, 2007 | 55 | 2007 |
| Mobile robot control in the road sign problem using reservoir computing networks E Antonelo, B Schrauwen, D Stroobandt 2008 IEEE International Conference on Robotics and Automation, 911-916, 2008 | 37 | 2008 |
| Event detection and localization in mobile robot navigation using reservoir computing EA Antonelo, B Schrauwen, X Dutoit, D Stroobandt, M Nuttin Artificial Neural Networks–ICANN 2007: 17th International Conference, Porto …, 2007 | 35 | 2007 |
| Supervised learning of internal models for autonomous goal-oriented robot navigation using reservoir computing EA Antonelo, B Schrauwen 2010 IEEE International Conference on Robotics and Automation, 2959-2964, 2010 | 30 | 2010 |
| Nonlinear model predictive control of an oil well with echo state networks JP Jordanou, E Camponogara, EA Antonelo, MAS Aguiar IFAC-PapersOnLine 51 (8), 13-18, 2018 | 25 | 2018 |
| Modeling multiple autonomous robot behaviors and behavior switching with a single reservoir computing network E Antonelo, B Schrauwen, D Stroobandt 2008 IEEE International Conference on Systems, Man and Cybernetics, 1843-1848, 2008 | 21 | 2008 |
| Modular neural network and classical reinforcement learning for autonomous robot navigation: Inhibiting undesirable behaviors EA Antonelo, AJ Baerveldt, T Rognvaldsson, M Figueiredo The 2006 IEEE International Joint Conference on Neural Network Proceedings …, 2006 | 21 | 2006 |
| Learning slow features with reservoir computing for biologically-inspired robot localization E Antonelo, B Schrauwen Neural Networks 25, 178-190, 2012 | 19 | 2012 |
| Intelligent autonomous navigation for mobile robots: spatial concept acquisition and object discrimination EA Antonelo, M Figueiredo, AJ Baerveldt, R Calvo 2005 International Symposium on Computational Intelligence in Robotics and …, 2005 | 19 | 2005 |
| Online learning control with Echo State Networks of an oil production platform JP Jordanou, EA Antonelo, E Camponogara Engineering Applications of Artificial Intelligence 85, 214-228, 2019 | 17 | 2019 |
| Predicting air compressor failures with echo state networks Y Fan, S Nowaczyk, EA Antonelo PHM Society European Conference 3 (1), 2016 | 16 | 2016 |
| Modular reservoir computing networks for imitation learning of multiple robot behaviors T Waegeman, E Antonelo, F Wyffels, B Schrauwen 2009 IEEE International Symposium on Computational Intelligence in Robotics …, 2009 | 15 | 2009 |
| Unsupervised learning in reservoir computing: Modeling hippocampal place cells for small mobile robots EA Antonelo, B Schrauwen Artificial Neural Networks–ICANN 2009: 19th International Conference …, 2009 | 14 | 2009 |
| Physics-informed neural nets for control of dynamical systems EA Antonelo, E Camponogara, LO Seman, ER de Souza, JP Jordanou, ... arXiv preprint arXiv:2104.02556, 2021 | 12* | 2021 |
| Evolutionary fuzzy system for architecture control in a constructive neural network R Calvo, M Figueiredo, EA Antonelo 2005 International Symposium on Computational Intelligence in Robotics and …, 2005 | 12 | 2005 |
| Experiments with reservoir computing on the road sign problem E Antonelo, B Schrauwen, D Stroobandt Proceedings of the VIII Brazilian Congress on Neural Networks (CBRN …, 2007 | 10 | 2007 |
| Recurrent Neural Network based control of an Oil Well JP Jordanou, EA Antonelo, E Camponogara, MAS de Aguiar XIII Brazilian Symposium on Intelligent Automation, 2017 | 8 | 2017 |
Benjamin SchrauwenProfessor of Machine Learning, Ghent UniversityDirección de correo verificada de ugent.be
