| Evolving fuzzy granular modeling from nonstationary fuzzy data streams D Leite, R Ballini, P Costa, F Gomide Evolving Systems 3, 65-79, 2012 | 139 | 2012 |
| Evolving fuzzy modeling using participatory learning E Lima, M Hell, R Ballini, F Gomide Evolving intelligent systems: methodology and applications, 67-86, 2010 | 114 | 2010 |
| Evolving granular analytics for interval time series forecasting L Maciel, R Ballini, F Gomide Granular Computing 1, 213-224, 2016 | 102 | 2016 |
| Probabilistic forecasting with fuzzy time series PC de Lima Silva, HJ Sadaei, R Ballini, FG Guimarães IEEE Transactions on Fuzzy Systems 28 (8), 1771-1784, 2019 | 87 | 2019 |
| Learning algorithms for a class of neurofuzzy network and application M Figueiredo, R Ballini, S Soares, M Andrade, F Gomide IEEE Transactions on Systems, Man, and Cybernetics, Part C (Applications and …, 2004 | 69 | 2004 |
| Evolving fuzzy systems for pricing fixed income options L Maciel, A Lemos, F Gomide, R Ballini Evolving Systems 3, 5-18, 2012 | 65 | 2012 |
| 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 | 61 | 2011 |
| Enhanced evolving participatory learning fuzzy modeling: an application for asset returns volatility forecasting L Maciel, F Gomide, R Ballini Evolving Systems 5, 75-88, 2014 | 54 | 2014 |
| Design a neural network for time series financial forecasting: Accuracy and robustness analysis LS Maciel, R Ballini Anales do 9º Encontro Brasileiro de Finanças, Sao Pablo, Brazil, 2008 | 50 | 2008 |
| Analise e previsoes de vasoes utilizando modelos de series temporais, redes neurais e redes neurais nebulosas R Ballini [sn], 2000 | 47 | 2000 |
| Evolving possibilistic fuzzy modeling for realized volatility forecasting with jumps L Maciel, R Ballini, F Gomide IEEE Transactions on Fuzzy Systems 25 (2), 302-314, 2016 | 46 | 2016 |
| Fuzzy granular evolving modeling for time series prediction D Leite, F Gomide, R Ballini, P Costa 2011 IEEE international conference on fuzzy systems (FUZZ-IEEE 2011), 2794-2801, 2011 | 46 | 2011 |
| Neural networks applied to stock market forecasting: An empirical analysis LS Maciel, R Ballini Journal of the Brazilian Neural Network Society 8 (1), 3-22, 2010 | 43 | 2010 |
| Participatory evolving fuzzy modeling E Lima, F Gomide, R Ballini 2006 International Symposium on Evolving Fuzzy Systems, 36-41, 2006 | 43 | 2006 |
| Evolving fuzzy-GARCH approach for financial volatility modeling and forecasting L Maciel, F Gomide, R Ballini Computational Economics 48, 379-398, 2016 | 38 | 2016 |
| Learning in recurrent, hybrid neurofuzzy networks R Ballini, F Gomide 2002 IEEE World Congress on Computational Intelligence. 2002 IEEE …, 2002 | 32 | 2002 |
| Adaptive fuzzy system to forecast financial time series volatility I Luna, R Ballini Journal of Intelligent & Fuzzy Systems 23 (1), 27-38, 2012 | 29 | 2012 |
| Evolving hybrid neural fuzzy network for realized volatility forecasting with jumps R Rosa, L Maciel, F Gomide, R Ballini 2014 IEEE Conference on Computational Intelligence for Financial Engineering …, 2014 | 28 | 2014 |
| Evolving fuzzy modelling in risk analysis R Ballini, ARR Mendonça, F Gomide Intelligent Systems in Accounting, Finance & Management: International …, 2009 | 28 | 2009 |
| A hybrid ensemble model applied to the short-term load forecasting problem RM Salgado, JJF Pereira, T Ohishi, R Ballini, CAM Lima, FJ Von Zuben The 2006 IEEE International Joint Conference on Neural Network Proceedings …, 2006 | 28 | 2006 |
