A new fault classification approach applied to Tennessee Eastman benchmark process. - Marcos F. S. V. D'Angelo; Reinaldo M. Palhares; Murilo C. O. Camargos Filho; Renato Dourado Maia; João Batista Mendes; Petr Yakovlevitch Ekel (Appl. Soft Comput., 2016)

Data-driven prognostics of rolling element bearings using a novel Error Based Evolving Takagi-Sugeno Fuzzy Model. - Murilo C. O. Camargos Filho; Iury Bessa; Marcos Flávio Silveira Vasconcelos D'Angelo; Luciana Balieiro Cosme; Reinaldo Martinez Palhares (Appl. Soft Comput., 2020)

Incremental Learning and State-Space Evolving Fuzzy Control of Nonlinear Time-Varying Systems with Unknown Model. - Daniel Leite 001; Pedro Henrique Silva Coutinho; Iury Bessa; Murilo C. O. Camargos; Luiz A. Q. Cordovil Júnior; Reinaldo M. Palhares (IFSA/EUSFLAT/AGOP, 2021)

Evolving Fuzzy System Applied to Battery Charge Capacity Prediction for Fault Prognostics. - Murilo C. O. Camargos; Iury Bessa; Luiz A. Q. Cordovil Júnior; Pedro Henrique Silva Coutinho; Daniel Furtado Leite; Reinaldo Martinez Palhares (IFSA/EUSFLAT/AGOP, 2021)

An adaptive approach for estimation of transition probability matrix in the interacting multiple model filter. - Luciana Balieiro Cosme; Marcos Flávio Silveira Vasconcelos D'Angelo; Walmir Matos Caminhas; Murilo C. O. Camargos; Reinaldo Martinez Palhares (J. Intell. Fuzzy Syst., 2021)

Decision tree and artificial immune systems for stroke prediction in imbalanced data. - Laércio Ives Santos; Murilo C. O. Camargos; Marcos Flávio Silveira Vasconcelos D'Angelo; João Batista Mendes; Egydio Emiliano Camargos de Medeiros; André Luiz Sena Guimarães; Reinaldo Martinez Palhares (Expert Syst. Appl., 2022)

Analyzing Morinda citrifolia's Potential for Haemonchus contortus Control in Lambs Using an Artificial Immune/Neural Approach. - Gabriele L. S. Silva; Laura L. S. Oliveira; Fredson V. Silva; Murilo C. O. Camargos Filho; Matheus Pereira Libório; Marcos F. S. V. D'Angelo; Alisson S. P. Caldeira; Luis Miralles-Pechuán; Hamidreza Rabiei-Dastjerdi (IEEE Access, 2024)

A fuzzy transformation approach to enhance active learning for heart disease prediction. - Heveraldo Rodrigues de Oliveira; Antônio Wilson Vieira; Laércio Ives Santos; Murilo C. O. Camargos Filho; Petr Ekel; Marcos Flávio Silveira Vasconcelos D'Angelo (J. Intell. Fuzzy Syst., 2024)

Predicting Dry Matter Intake in Lactating Crossbred Cows Under Semi-Arid Conditions Using an Error-Based Evolving Takagi-Sugeno Fuzzy Model. - Dijair B. Leal; Rafael A. Soares; Vicente R. Rocha Júnior; Flávio P. Monção; Murilo C. O. Camargos Filho; Marcos F. S. V. D'Angelo; Luis Miralles-Pechuán (IEEE Access, 2025)

An evolving approach to the similarity-based modeling for online clustering in non-stationary environments. - Nayron Morais Almeida; Murilo C. O. Camargos Filho; Denis G. B. Mariano; Carlos H. de M. Bomfim; Reinaldo M. Palhares; Walmir M. Caminhas (Evol. Syst., 2025)