 | 2011 |
| 9 |  | Daniel Leite,
Fernando Gomide,
Rosangela Ballini,
Pyramo Costa Jr.:
Fuzzy granular evolving modeling for time series prediction.
FUZZ-IEEE 2011: 2794-2801 |
| 2010 |
| 8 |  | Daniel Leite,
Pyramo Costa Jr.,
Fernando Gomide:
Evolving granular neural network for semi-supervised data stream classification.
IJCNN 2010: 1-8 |
| 7 |  | Daniel Leite,
Pyramo Costa Jr.,
Fernando Gomide:
Granular Approach for Evolving System Modeling.
IPMU 2010: 340-349 |
| 2009 |
| 6 |  | Daniel Leite,
Pyramo Costa Jr.,
Fernando Gomide:
Evolving granular classification neural networks.
IJCNN 2009: 1736-1743 |
| 2008 |
| 5 |  | Michel Hell,
Pyramo Costa Jr.,
Fernando A. C. Gomide:
Hybrid neurofuzzy computing with nullneurons.
IJCNN 2008: 3653-3659 |
| 4 |  | Michel Hell,
Fernando A. C. Gomide,
Pyramo Costa Jr.:
Neurons and Neural Fuzzy Networks Based on Nullnorms.
SBRN 2008: 123-128 |
| 2007 |
| 3 |  | Michel Hell,
Rosangela Ballini,
Pyramo Costa Jr.,
Fernando A. C. Gomide:
Training Neurofuzzy Networks with Participatory Learning.
EUSFLAT Conf. (2) 2007: 231-236 |
| 2 |  | Michel Hell,
Pyramo Costa Jr.,
Fernando A. C. Gomide:
New Neurofuzzy Training Procedure Based on Participatory Learning Paradigm.
FUZZ-IEEE 2007: 1-6 |
| 2005 |
| 1 |  | Michel Hell,
Luiz Secco,
Pyramo Costa Jr.,
Fernando A. C. Gomide:
Recurrent Neural Approaches for Power Transformers Thermal Modeling.
PReMI 2005: 287-293 |