| Short-term forecasting COVID-19 cumulative confirmed cases: Perspectives for Brazil MHDM Ribeiro, RG da Silva, VC Mariani, L dos Santos Coelho Chaos, Solitons & Fractals 135, 109853, 2020 | 550 | 2020 |
| Multi-step wind speed forecasting based on hybrid multi-stage decomposition model and long short-term memory neural network SR Moreno, RG da Silva, VC Mariani, L dos Santos Coelho Energy Conversion and Management 213, 112869, 2020 | 178 | 2020 |
| A novel decomposition-ensemble learning framework for multi-step ahead wind energy forecasting RG da Silva, MHDM Ribeiro, SR Moreno, VC Mariani, ... Energy 216, 119174, 2021 | 159 | 2021 |
| Forecasting Brazilian and American COVID-19 cases based on artificial intelligence coupled with climatic exogenous variables RG Da Silva, MHDM Ribeiro, VC Mariani, L dos Santos Coelho Chaos, Solitons & Fractals 139, 110027, 2020 | 152 | 2020 |
| Efficient bootstrap stacking ensemble learning model applied to wind power generation forecasting MHDM Ribeiro, RG da Silva, SR Moreno, VC Mariani, ... International Journal of Electrical Power & Energy Systems 136, 107712, 2022 | 115 | 2022 |
| Multi-step short-term wind speed forecasting based on multi-stage decomposition coupled with stacking-ensemble learning approach RG da Silva, SR Moreno, MHDM Ribeiro, JHK Larcher, VC Mariani, ... International Journal of Electrical Power & Energy Systems 143, 108504, 2022 | 61 | 2022 |
| Cooperative ensemble learning model improves electric short-term load forecasting MHDM Ribeiro, RG da Silva, GT Ribeiro, VC Mariani, ... Chaos, Solitons & Fractals 166, 112982, 2023 | 45 | 2023 |
| Discrete differential evolution metaheuristics for permutation flow shop scheduling problems M de Fátima Morais, MHDM Ribeiro, RG da Silva, VC Mariani, ... Computers & Industrial Engineering 166, 107956, 2022 | 42 | 2022 |
| Multi-step ahead bitcoin price forecasting based on VMD and ensemble learning methods RG Da Silva, MHDM Ribeiro, N Fraccanabbia, VC Mariani, ... 2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020 | 24 | 2020 |
| Solar power forecasting based on ensemble learning methods N Fraccanabbia, RG da Silva, MHDM Ribeiro, SR Moreno, ... 2020 International Joint Conference on Neural Networks (IJCNN), 1-7, 2020 | 17 | 2020 |
| Variational mode decomposition and bagging extreme learning machine with multi-objective optimization for wind power forecasting MHDM Ribeiro, RG da Silva, SR Moreno, C Canton, JHK Larcher, ... Applied Intelligence 54 (4), 3119-3134, 2024 | 10 | 2024 |
| Very short-term wind energy forecasting based on stacking ensemble SR Moreno, RG da Silva, MHDM Ribeiro, N Fraccanabbia, VC Mariani, ... Brazilian Computational Intelligence Meeting (CBIC 2019) 1 (14), 1-7, 2019 | 10 | 2019 |
| Electricity energy price forecasting based on hybrid multi-stage heterogeneous ensemble: Brazilian commercial and residential cases MHDM Ribeiro, RG da Silva, C Canton, N Fraccanabbia, VC Mariani, ... 2020 International Joint Conference on Neural Networks (IJCNN), 1-8, 2020 | 9 | 2020 |
| Ensemble learning models coupled with urban mobility information applied to predict COVID-19 incidence cases MHDM Ribeiro, RG da Silva, JHK Larcher, VC Mariani, LS Coelho Modeling, Control and Drug Development for COVID-19 Outbreak Prevention, 821-858, 2022 | 7 | 2022 |
| Forecasting epidemiological time series based on decomposition and optimization approaches MHDM Ribeiro, RG da Silva, N Fraccanabbia, VC Mariani, LS Coelho Brazilian Computational Intelligence Meeting (CBIC 2019) 1 (14), 1-8, 2019 | 7 | 2019 |
| Decoding electroencephalography signal response by stacking ensemble learning and adaptive differential evolution MHDM Ribeiro, RG da Silva, JHK Larcher, A Mendes, VC Mariani, ... Sensors 23 (16), 7049, 2023 | 4 | 2023 |
| Wind power forecasting based on bagging extreme learning machine ensemble model. MHDM Ribeiro, SR Moreno, RG da Silva, JHK Larcher, C Canton, ... ESANN, 2022 | 4 | 2022 |
| Forecasting COVID-19 pandemic using an echo state neural network-based framework JHK Larcher, RG Da Silva, MHDM Ribeiro, LDS Coelho, VC Mariani 2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021 | 3 | 2021 |
| Seasonal-trend and multiobjective ensemble learning model for water consumption forecasting MHDM Ribeiro, RG Da Silva, JHK Larcher, JD De Lima, VC Mariani, ... 2021 International Joint Conference on Neural Networks (IJCNN), 1-8, 2021 | 3 | 2021 |
| Application of a demand forecasting model in a rental company of billiard tables RG da Silva, AB de Oliveira, IC da Silva, TO Farias Journal of Engineering and Technology for Industrial Applications 4 (15), 53-58, 2018 | 3* | 2018 |
Leandro dos Santos CoelhoProfessor of Electrical Engineering, Federal University of Parana (UFPR), ALLIA Founder在 ufpr.br 的电子邮件经过验证
