A Voltage Sag Pattern Classification Technique. - Délio E. B. Fernandes; Mário Fabiano Alves; Pyramo Pires da Costa Jr. (PReMI, 2005)

Recurrent Neural Approaches for Power Transformers Thermal Modeling. - Michel Hell; Luiz Secco; Pyramo Costa Jr.; Fernando A. C. Gomide (PReMI, 2005)

Training Neurofuzzy Networks with Participatory Learning. - Michel Hell; Rosangela Ballini; Pyramo Costa Jr.; Fernando A. C. Gomide (EUSFLAT Conf. (2), 2007)

New Neurofuzzy Training Procedure Based on Participatory Learning Paradigm. - Michel Hell; Pyramo Costa Jr.; Fernando A. C. Gomide (FUZZ-IEEE, 2007)

Hybrid neurofuzzy computing with nullneurons. - Michel Hell; Pyramo Costa Jr.; Fernando A. C. Gomide (IJCNN, 2008)

Neurons and Neural Fuzzy Networks Based on Nullnorms. - Michel Hell; Fernando A. C. Gomide; Pyramo Costa Jr. (SBRN, 2008)

Evolving granular classification neural networks. - Daniel F. Leite; Pyramo Costa Jr.; Fernando A. C. Gomide (IJCNN, 2009)

Evolving granular neural network for semi-supervised data stream classification. - Daniel F. Leite; Pyramo Costa Jr.; Fernando A. C. Gomide (IJCNN, 2010)

Granular Approach for Evolving System Modeling. - Daniel F. Leite; Pyramo Costa Jr.; Fernando A. C. Gomide (IPMU, 2010)

Fuzzy granular evolving modeling for time series prediction. - Daniel F. Leite; Fernando A. C. Gomide; Rosangela Ballini; Pyramo Costa Jr. (FUZZ-IEEE, 2011)

Evolving granular neural network for fuzzy time series forecasting. - Daniel F. Leite; Pyramo Costa Jr.; Fernando A. C. Gomide (IJCNN, 2012)

Evolving fuzzy granular modeling from nonstationary fuzzy data streams. - Daniel F. Leite; Rosangela Ballini; Pyramo Costa Jr.; Fernando A. C. Gomide (Evol. Syst., 2012)

Evolving granular neural networks from fuzzy data streams. - Daniel F. Leite; Pyramo Costa Jr.; Fernando A. C. Gomide (Neural Networks, 2013)