| 2024 | IJCNN | Heteroassociative Mapping with Self-Organizing Maps for Probabilistic Multi-output Prediction. | Rewbenio A. Frota, Marley M. B. R. Vellasco, Guilherme A. Barreto, Candida Menezes de Jesus |
| 2024 | IJCNN | Neural fractional order PID controller embedded in an 8-bit microcontroller for neonatal incubator. | Igor Rocha de Sousa, Guilherme A. Barreto |
| 2019 | IWANN | Robust Echo State Network for Recursive System Identification. | Renan Bessa, Guilherme A. Barreto |
| 2017 | IWANN | Randomized Neural Networks for Recursive System Identification in the Presence of Outliers: A Performance Comparison. | Csar Lincoln C. Mattos, Guilherme A. Barreto, Gonzalo Acua |
| 2017 | IWANN | Forward Stagewise Regression on Incomplete Datasets. | Marcelo B. A. Veras, Diego P. P. Mesquita, Joo P. P. Gomes, Amauri H. Souza Jnior, Guilherme A. Barreto |
| 2015 | IDEAL | An Empirical Evaluation of Robust Gaussian Process Models for System Identification. | Csar Lincoln C. Mattos, Jos Daniel A. Santos, Guilherme A. Barreto |
| 2015 | IDEAL | A Novel Recursive Solution to LS-SVR for Robust Identification of Dynamical Systems. | Jos Daniel A. Santos, Guilherme A. Barreto |
| 2015 | IWANN | Performance Evaluation of Least Squares SVR in Robust Dynamical System Identification. | Jos Daniel A. Santos, Csar Lincoln C. Mattos, Guilherme A. Barreto |
| 2014 | ESANN | A new model selection approach for the ELM network using metaheuristic optimization. | Ananda Freire, Guilherme A. Barreto |
| 2014 | ESANN | reject option paradigm for the reduction of support vectors. | Ricardo Gamelas Sousa, Ajalmar R. da Rocha Neto, Guilherme A. Barreto, Jaime S. Cardoso, Miguel T. Coimbra |
| 2014 | ICANN | Improved Adaline Networks for Robust Pattern Classification. | Csar Lincoln C. Mattos, Jos Daniel A. Santos, Guilherme A. Barreto |
| 2013 | HAIS | Building a Robust Extreme Learning Machine for Classification in the Presence of Outliers. | Ana Luiza Bessa de Paula Barros, Guilherme A. Barreto |
| 2013 | IWANN | Improving the Classification Performance of Optimal Linear Associative Memory in the Presence of Outliers. | Ana Luiza Bessa de Paula Barros, Guilherme A. Barreto |
| 2013 | IWANN | Minimal Learning Machine: A New Distance-Based Method for Supervised Learning. | Amauri Holanda de Souza Jnior, Francesco Corona, Yoan Miche, Amaury Lendasse, Guilherme A. Barreto, Olli Simula |
| 2012 | ESANN | Learning visuo-motor coordination for pointing without depth calculation. | Ananda Freire, Andre Lemme, Jochen J. Steil, Guilherme A. Barreto |
| 2001 | SMC | A distributed robotic control system based on a temporal self-organizing neural network. | Guilherme A. Barreto, Aluzio Fausto Ribeiro Arajo, C. Dcker, Helge J. Ritter |