| An enhanced set-membership evolving participatory learning with kernel recursive least squares applied to thermal modeling of power transformers KSTR Alves, M Hell, FLC Oliveira, EP de Aguiar Electric Power Systems Research 184, 106334, 2020 | 30 | 2020 |
| A novel rule-based evolving fuzzy system applied to the thermal modeling of power transformers KSTR Alves, EP de Aguiar Applied Soft Computing 112, 107764, 2021 | 27 | 2021 |
| Power transformers thermal modeling using an enhanced set-membership multivariable Gaussian evolving fuzzy system MVG da Rocha, MB Hell, KSTR Alves, FLC Oliveira, EP de Aguiar Electric Power Systems Research 194, 107088, 2021 | 15 | 2021 |
| A new Takagi–Sugeno–Kang model to time series forecasting KSTR Alves, CD de Jesus, EP de Aguiar Engineering Applications of Artificial Intelligence 133, 108155, 2024 | 6 | 2024 |
| Kernel Evolving Participatory Fuzzy Modeling for Time Series Forecasting: New Perspectives Based on Distance Measures ESDO Marques, KSTR Alves, D Pekaslan, EP De Aguiar 2022 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-8, 2022 | 2 | 2022 |
| Kernel evolving participatory fuzzy modeling for time series forecasting: New perspectives based on similarity measures ES de Oliveira Marques, KSTR Alves, D Pekaslan, EP De Aguiar 2022 IEEE International Conference on Evolving and Adaptive Intelligent …, 2022 | 2 | 2022 |
| Evolving fuzzy modeling with variable step-size applied to gas prices forecasting in Brazil ERC Queiroz, KSTR Alves, FLC Oliveira, EP de Aguiar 2021 IEEE International Conference on Fuzzy Systems (FUZZ-IEEE), 1-6, 2021 | 2 | 2021 |
| Financial Series Forecasting: A New Fuzzy Inference System for Crisp Values and Interval-Valued Predictions K Sa Teles Rocha Alves, R Ballini, E Pestana de Aguiar Computational Economics, 1-49, 2024 | 1 | 2024 |
| Power Transformers Thermal Modeling Based on the Modified Set-Membership Evolving Multivariable Gaussian and Variable Step-Size Evolving Multivariable Gaussian MVG da Rocha, KSTR Alves, ERC Queiroz, FLC Oliveira, MB Hell, ... Journal of Control, Automation and Electrical Systems 33 (3), 1044-1055, 2022 | 1 | 2022 |
| Rule-based Evolving Fuzzy System for Time Series Forecasting: New Perspectives Based on Type-2 Fuzzy Sets Measures Approach ESO Marques, ACV Pinto, KSTR Alves, EP de Aguiar arXiv preprint arXiv:2502.03650, 2025 | | 2025 |
| Desenvolvimento do plugin Topography para cálculo de poligonais planialtimétricas fechadas por taqueometria para utilização no software QGIS KSTR Alves, SH de Faria, KSTR Alves Revista Brasileira de Geomática 12 (1), 069-097, 2024 | | 2024 |
| A New evolving Fuzzy System with Mechanisms to Deal With Uncertainties in Times Series Forecasting KSTR Alves, D Pekaslan, C Wagner, EP de Aguiar 2022 IEEE Latin American Conference on Computational Intelligence (LA-CCI), 1-6, 2022 | | 2022 |
| Variable step-size evolving participatory learning with kernel recursive least squares applied to gas prices forecasting in Brazil ERC Queiroz, KSTR Alves, FL Cyrino Oliveira, E Pestana de Aguiar Evolving Systems 13 (2), 297-306, 2022 | | 2022 |
| Modelagem nebulosa evolutiva participativa com passo de adaptaçao variável aplicada a previsao de preços do óleo diesel no Brasil ERC Queiroz, KSTR Alves, FLC Oliveira, EP de Aguiar Congresso Brasileiro de Automática-CBA 2 (1), 2020 | | 2020 |
| Modelagem Térmica de Transformadores de Potência Baseada em um Sistema Fuzzy Evolutivo Set-Membership Gaussiano Multivariado MVG da Rocha, KSTR Alves, MB Hell, FLC Oliveira, EP de Aguiar Congresso Brasileiro de Automática-CBA 2 (1), 2020 | | 2020 |
| Modelagem Térmica de Transformadores de Potência Baseada em SODA e Sistema de Inferência Fuzzy Otimizado por Enxame de Partículas DPM de Souza, EP de Aguiar, KSTR Alves, MVG da Rocha, ... Congresso Brasileiro de Automática-CBA 2 (1), 2020 | | 2020 |
| Desenvolvimento de um método de ensino de Lean Manufacturing através da montagem de carrinhos LEGO® B Thomaz Rabello UFJF-beatriz, GE de Araújo Silva UFJF-gabriel, ... | | |
| A New Fuzzy Inference System Applied to Time Series Forecasting KSTR Alves, R Ballini, EP de Aguiar | | |
| A Machine Learning approach to predict Length of Stay of vehicles in an inbound logistics operation VHS Pereira, KSTR Alves, EP de Aguiar | | |