| Top-down strategies based on adaptive fuzzy rule-based systems for daily time series forecasting I Luna, R Ballini International Journal of Forecasting 27 (3), 708-724, 2011 | 62 | 2011 |
| Long-term hydropower scheduling based on deterministic nonlinear optimization and annual inflow forecasting models MS Zambelli, I Luna, S Soares 2009 IEEE Bucharest PowerTech, 1-8, 2009 | 49 | 2009 |
| Performance analysis of unorganized machines in streamflow forecasting of Brazilian plants H Siqueira, L Boccato, I Luna, R Attux, C Lyra Applied Soft Computing 68, 494-506, 2018 | 48 | 2018 |
| Performance comparison of feedforward neural networks applied to streamflow series forecasting. H Siqueira, I Luna Mathematics in Engineering, Science & Aerospace (MESA) 10 (1), 2019 | 34 | 2019 |
| Logística reversa para o setor de medicamentos C Hiratuka, MA Vargas, P Fracalanza, EN Rosandiski, RI Corazza, ... Brasília: ABDI, 13-79, 2013 | 32 | 2013 |
| Adaptive fuzzy system to forecast financial time series volatility I Luna, R Ballini Journal of Intelligent & Fuzzy Systems 23 (1), 27-38, 2012 | 31 | 2012 |
| Selection of temporal lags for predicting riverflow series from hydroelectric plants using variable selection methods H Siqueira, M Macedo, YS Tadano, TA Alves, SL Stevan Jr, DS Oliveira Jr, ... Energies 13 (16), 4236, 2020 | 29 | 2020 |
| Network analysis of cattle movement in Mato Grosso do Sul (Brazil) and implications for foot-and-mouth disease TC Menezes, I Luna, SHG Miranda Frontiers in veterinary science 7, 219, 2020 | 18 | 2020 |
| Impacto dos contratos futuros do Ibovespa na volatilidade dos índices de ações no Brasil: uma análise na crise do subprime L Maciel, RLF Silveira, I Luna, R Ballini Estudos Econômicos (São Paulo) 42, 801-825, 2012 | 18 | 2012 |
| Técnica de identificação de modelos lineares e não-lineares de séries temporais I Luna, R Ballini, S Soares SBA: Controle & automação sociedade Brasileira de automática 17, 245-256, 2006 | 17 | 2006 |
| Recursive linear models optimized by bioinspired metaheuristics to streamflow time series prediction H Siqueira, JT Belotti, L Boccato, I Luna, R Attux, C Lyra International Transactions in Operational Research 30 (2), 742-773, 2023 | 16 | 2023 |
| Partial mutual information criterion for modelling time series via neural networks I Luna, S Soares, R Ballini Proc. of the 11th Information Processing and Management of Uncertainty …, 2006 | 16 | 2006 |
| A comparative analysis of neurofuzzy, ANN and ARIMA models for Brazilian stock index forecasting R Ballini, I Luna, LM Lima, RLF da Silveira SCE-Computing in Economics and Finance, 1995 | 16 | 1995 |
| Online estimation of stochastic volatility for asset returns I Luna, R Ballini 2012 IEEE Conference on Computational Intelligence for Financial Engineering …, 2012 | 15 | 2012 |
| A constructive-fuzzy system modeling for time series forecasting I Luna, S Soares, R Ballini 2007 International Joint Conference on Neural Networks, 2908-2913, 2007 | 15 | 2007 |
| An adaptive hybrid model for monthly streamflow forecasting I Luna, S Soares, R Ballini 2007 IEEE International Fuzzy Systems Conference, 1-6, 2007 | 15 | 2007 |
| The direct connection between box & Jenkins methodology and adaptive filtering theory. H Siqueira, I Luna, TA Alves, Y de Souza Tadano Mathematics in Engineering, Science & Aerospace (MESA) 10 (1), 2019 | 13 | 2019 |
| De tragédia a solução: a atualidade teórica e empírica dos recursos comuns no Brasil M Cesar, I Luna, E Perkins Nova economia 30 (1), 7-35, 2020 | 12 | 2020 |
| Verifying the use of evolving fuzzy systems for multi-step ahead daily inflow forecasting I Luna, JEG Lopes, R Ballini, S Soares 2009 15th International Conference on Intelligent System Applications to …, 2009 | 10 | 2009 |
| The uneven geography of knowledge in agriculture: regional inequalities in Brazilian sugarcane production F Mesquita, I Luna, RF Souza Revista Brasileira de Inovação 20, e021009, 2021 | 9 | 2021 |
Secundino SoaresProfessor da Faculdade de Engenharia Elétrica e de Computação, UNICAMPE-mail confirmado em cose.fee.unicamp.br
