| A new fault classification approach applied to Tennessee Eastman benchmark process MFSV D’Angelo, RM Palhares, MCO Camargos Filho, RD Maia, ... Applied Soft Computing 49, 676-686, 2016 | 65 | 2016 |
| Decision tree and artificial immune systems for stroke prediction in imbalanced data LI Santos, MO Camargos, MFSV D’Angelo, JB Mendes, EEC De Medeiros, ... Expert Systems with Applications 191, 116221, 2022 | 50 | 2022 |
| Data-driven prognostics of rolling element bearings using a novel error based evolving Takagi–Sugeno fuzzy model MO Camargos, I Bessa, MFSV D’Angelo, LB Cosme, RM Palhares Applied Soft Computing 96, 106628, 2020 | 27 | 2020 |
| Prevalence and factors associated with excess body weight in adolescents IA Barbosa, JR Lopes, MCO Camargos, MFSV Dangelo, L Pinho, ... Acta Paulista de Enfermagem 32, 485-492, 2019 | 15* | 2019 |
| An adaptive approach for estimation of transition probability matrix in the interacting multiple model filter LB Cosme, MFSV D’Angelo, WM Caminhas, MO Camargos, RM Palhares Journal of Intelligent & Fuzzy Systems 41 (1), 155-166, 2021 | 7 | 2021 |
| Evolving fuzzy system applied to battery charge capacity prediction for fault prognostics MO Camargos, I Bessa, LAQ Junior, PHS Coutinho, DF Leite, ... arXiv preprint arXiv:2102.09521, 2021 | 6 | 2021 |
| Dissipativity and stability recovery by fault hiding I Bessa, MO Camargos, V Puig, RM Palhares IFAC-PapersOnLine 53 (2), 4121-4126, 2020 | 3 | 2020 |
| State of health and lifetime prediction of lithium-ion batteries using self-learning incremental models M Camargos, P Angelov PHM Society European Conference 7 (1), 78-86, 2022 | 2 | 2022 |
| Incremental learning and state-space evolving fuzzy control of nonlinear time-varying systems with unknown model D Leite, P Coutinho, I Bessa, M Camargos, LC Junior, R Palhares arXiv preprint arXiv:2102.09503, 2021 | 2 | 2021 |
| A New Fault Classification Approach Based on Decision Tree Induced by Genetic Programming RCN Rocha, RA Soares, LI Santos, MO Camargos, PY Ekel, MP Libório, ... Processes 12 (4), 818, 2024 | 1 | 2024 |
| A fuzzy transformation approach to enhance active learning for heart disease prediction HR de Oliveira, AW Vieira, LI Santos, MO Camargos, PY Ekel, ... Journal of Intelligent & Fuzzy Systems, 1-17, 2024 | 1 | 2024 |
| Fault Prognostics of Rolling Bearings Using a Hybrid Approach MO Camargos, I Bessa, MFSV D’Angelo, RM Palhares IFAC-PapersOnLine 53 (2), 4082-4087, 2020 | 1 | 2020 |
| An evolving approach to the similarity-based modeling for online clustering in non-stationary environments NM Almeida, MO Camargos, DGB Mariano, CHM Bomfim, RM Palhares, ... Evolving Systems 16 (1), 16, 2025 | | 2025 |
| Abordagem baseada em detecção de ponto de mudança e aprendizado participativo para identificação online de mudanças de comportamento em processos produtivos MS Diniz, MO Camargos, MFSV D’Angelo Proceeding Series of the Brazilian Society of Computational and Applied …, 2025 | | 2025 |
| Analyzing Morinda citrifolia’s Potential for Haemonchus contortus Control in Lambs Using an Artificial Immune/neural Approach GLS Silva, LLS Oliveira, FV Silva, MO Camargos, MP Libório, ... IEEE Access, 2024 | | 2024 |
| Uma abordagem baseada em aprendizado de máquina para diagnóstico de falhas no sistema APS – Scania MFSVD Angelo, M Meneses, R Rocha, L Santos, M Camargos Pesquisa Operacional para o Desenvolvimento 17, 1-18, 2024 | | 2024 |
| Artificial neural network applied in the analysis of health-related quality of life of adolescents ADG Fonseca, RF da Silva Junior, MCO Camargos Filho, MFSV Dangelo, ... Revista de Pesquisa Cuidado é Fundamental Online 15, 2023 | | 2023 |
Marcos Flávio S. V. D'AngeloUNIMONTESE-mailová adresa ověřena na: unimontes.br