| A fast incremental gaussian mixture model RC Pinto, PM Engel PloS one 10 (10), e0139931, 2015 | 84 | 2015 |
| Autocorrelation and partial autocorrelation functions to improve neural networks models on univariate time series forecasting JHF Flores, PM Engel, RC Pinto The 2012 International joint conference on neural networks (IJCNN), 1-8, 2012 | 77 | 2012 |
| IGMN: An Incremental Gaussian Mixture Network that Learns Instantaneously from Data Flows MR Heinen, PM Engel, RC Pinto IX ENIA - BRAZILIAN MEETING ON ARTIFICIAL INTELLIGENCE, 2011 | 25 | 2011 |
| Using a Gaussian mixture neural network for incremental learning and robotics MR Heinen, PM Engel, RC Pinto The 2012 international joint conference on neural networks (IJCNN), 1-8, 2012 | 16 | 2012 |
| Echo State Incremental Gaussian Mixture Network for Spatio-Temporal Pattern Processing RC Pinto, PM Engel, MR Heinen IX ENIA - BRAZILIAN MEETING ON ARTIFICIAL INTELLIGENCE, 2011 | 8 | 2011 |
| Scalable and incremental learning of gaussian mixture models R Pinto, P Engel arXiv preprint arXiv:1701.03940, 2017 | 7 | 2017 |
| LoopSOM: a robust som variant using self-organizing temporal feedback connections R Pinto, P Engel VIII ENIA - BRAZILIAN MEETING ON ARTIFICIAL INTELLIGENCE, 2009 | 6 | 2009 |
| One-shot learning in the road sign problem RC Pinto, PM Engel, MR Heinen The 2012 International Joint Conference on Neural Networks (IJCNN), 1-6, 2012 | 5 | 2012 |
| Beating Bomberman with Artificial Intelligence J Monteiro, R Granada, RC Pinto, RC Barros XV Encontro Nacional de Inteligência Artificial e Computacional (ENIAC), 2018 | 4 | 2018 |
| Applying the Incremental Gaussian Neural Network to Concept Formation and Robotic Tasks MR Heinen, PM Engel, RC Pinto X CBIC - Brazilian Congress on Computational Intelligence, 2011 | 3 | 2011 |
| Recursive Incremental Gaussian Mixture Network for Spatio-Temporal Pattern Processing RC Pinto, PM Engel, MR Heinen X CBIC - Brazilian Congress on Computational Intelligence, 2011 | 3 | 2011 |
| Model-Free Episodic Control with Online State Aggregation R Pinto arXiv preprint arXiv:2008.09685, 2020 | 2 | 2020 |
| Learning Abstract Behaviors with the Hierarchical Incremental Gaussian Mixture Network R de Pontes Pereira, PM Engel, RC Pinto 2012 Brazilian Symposium on Neural Networks, 131-135, 2012 | 2 | 2012 |
| Online Incremental One-Shot Learning of Temporal Sequences R Pinto UNIVERSIDADE FEDERAL DO RIO GRANDE DO SUL, 2011 | 2 | 2011 |
| Um Estudo de Redes Neurais Não-Supervisionadas Temporais R Pinto | 2 | 2010 |
| Continuous reinforcement learning with incremental Gaussian mixture models RC Pinto | 1 | 2017 |
| Fast Reinforcement Learning with Incremental Gaussian Mixture Models R Pinto 2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021 | | 2021 |
| Mapas Auto-Organizáveis Temporais RC Pinto | | 2010 |
| A Neocortex Inspired Hierarchical Spatio-Temporal Pattern Recognition System R Pinto UNIVERSIDADE FEDERAL DO RIO GRANDE DO SUL, 2009 | | 2009 |
| Um Reconhecedor de Padrões Espaço-Temporais Inspirado no Neocórtex RC Pinto | | 2009 |
Paulo Martins EngelProfessor of Computer Science, Universidade Federal do Rio Grande do Sul在 inf.ufrgs.br 的电子邮件经过验证
