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Rosangela Ballini
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2020 – today
- 2023
- [j17]Leandro Maciel, Rosangela Ballini, Fernando A. C. Gomide:
Adaptive fuzzy modeling of interval-valued stream data and application in cryptocurrencies prediction. Neural Comput. Appl. 35(10): 7149-7159 (2023) - [c49]Henri Makika, João Marcos Travassos Romano, Rosangela Ballini:
Deep Learning Techniques For Time Series Forecasting: An Application For Exchange Rates. MLSP 2023: 1-6 - 2022
- [j16]Leandro Maciel, Rosangela Ballini, Fernando A. C. Gomide, Ronald R. Yager:
Forecasting cryptocurrencies prices using data driven level set fuzzy models. Expert Syst. Appl. 210: 118387 (2022) - [c48]Leandro Maciel, Rosangela Ballini, Fernando A. C. Gomide:
Data Driven Level Set Fuzzy Modeling for Cryptocurrencies Price Forecasting. IJCCI 2022: 193-198 - [c47]Leandro Maciel, Rosangela Ballini, Fernando A. C. Gomide:
Data Driven Level Set Method in Fuzzy Modeling and Forecasting. NAFIPS 2022: 125-134 - 2020
- [j15]Petrônio Cândido de Lima e Silva, Hossein Javedani Sadaei, Rosangela Ballini, Frederico Gadelha Guimarães:
Probabilistic Forecasting With Fuzzy Time Series. IEEE Trans. Fuzzy Syst. 28(8): 1771-1784 (2020) - [c46]Leandro Maciel, Rosangela Ballini, Fernando A. C. Gomide:
A Fuzzy Model for Interval-Valued Time Series Modeling and Application in Exchange Rate Forecasting. IPMU (3) 2020: 41-53 - [c45]Leandro Maciel, Rosangela Ballini, Fernando A. C. Gomide:
Adaptive Interval Fuzzy Modeling from Stream Data and Application in Cryptocurrencies Forecasting. NAFIPS 2020: 69-81
2010 – 2019
- 2019
- [j14]Leandro Maciel, Rosangela Ballini:
A fuzzy inference system modeling approach for interval-valued symbolic data forecasting. Knowl. Based Syst. 164: 139-149 (2019) - 2018
- [c44]Leandro Maciel, Rosangela Ballini:
Fuzzy rule-based modeling for interval-valued time series prediction. FUZZ-IEEE 2018: 1-8 - [c43]Rafael Vieira, Fernando A. C. Gomide, Rosangela Ballini:
Kernel Evolving Participatory Fuzzy Modeling for Time Series Forecasting. FUZZ-IEEE 2018: 1-9 - [c42]Rafael Vieira, Leandro Maciel, Rosangela Ballini, Fernando A. C. Gomide:
Stock Market Price Forecasting Using a Kernel Participatory Learning Fuzzy Model. NAFIPS 2018: 361-373 - 2017
- [j13]Leandro Maciel, Rosangela Ballini, Fernando A. C. Gomide:
An evolving possibilistic fuzzy modeling approach for Value-at-Risk estimation. Appl. Soft Comput. 60: 820-830 (2017) - [j12]Leandro Maciel, Rosangela Ballini, Fernando A. C. Gomide:
Evolving Possibilistic Fuzzy Modeling for Realized Volatility Forecasting With Jumps. IEEE Trans. Fuzzy Syst. 25(2): 302-314 (2017) - [c41]Leandro Maciel, Rafael Vieira, Alisson Porto, Fernando A. C. Gomide, Rosangela Ballini:
Evolving participatory learning fuzzy modeling for financial interval time series forecasting. EAIS 2017: 1-8 - [c40]Leandro Maciel, Rosangela Ballini:
Interval fuzzy rule-based modeling approach for financial time series forecasting. FUZZ-IEEE 2017: 1-6 - [p2]Leandro Maciel, Rosangela Ballini, Fernando A. C. Gomide:
Evolving Possibilistic Fuzzy Modeling and Application in Value-at-Risk Estimation. Granular, Soft and Fuzzy Approaches for Intelligent Systems 2017: 119-139 - 2016
- [j11]Leandro Maciel, Fernando A. C. Gomide, Rosangela Ballini:
A differential evolution algorithm for yield curve estimation. Math. Comput. Simul. 129: 10-30 (2016) - [c39]Leandro Maciel, Rosangela Ballini, Fernando A. C. Gomide:
Evolving possibilistic fuzzy modeling for equity options pricing. EAIS 2016: 57-64 - [c38]Leandro Maciel, Rosangela Ballini, Fernando A. C. Gomide, Ronald R. Yager:
Participatory Learning Fuzzy Clustering for Interval-Valued Data. IPMU (1) 2016: 687-698 - 2015
- [c37]Leandro Maciel, André Paim Lemos, Rosangela Ballini, Fernando A. C. Gomide:
Adaptive Fuzzy C-Regression Modeling for Time Series Forecasting. IFSA-EUSFLAT 2015 - [c36]Leandro Maciel, Fernando A. C. Gomide, Rosangela Ballini:
Evolving possibilistic fuzzy modeling. FUZZ-IEEE 2015: 1-8 - [c35]Amal Oudni, Marie-Jeanne Lesot, Maria Rifqi, Rosangela Ballini:
Analysis of the emission of American Depositary Receipts of Brazilian companies through the extraction of linguistic summaries. FUZZ-IEEE 2015: 1-8 - [c34]Leandro Maciel, Fernando A. C. Gomide, Rosangela Ballini:
Evolving possibilistic fuzzy modeling for financial interval time series forecasting. NAFIPS/WConSC 2015: 1-6 - 2014
- [j10]Leandro Maciel, Fernando A. C. Gomide, Rosangela Ballini:
Enhanced evolving participatory learning fuzzy modeling: an application for asset returns volatility forecasting. Evol. Syst. 5(2): 75-88 (2014) - [j9]Rosangela Ballini, Ronald R. Yager:
OWA filters and forecasting models applied to electric power load time series. Evol. Syst. 5(3): 159-173 (2014) - [j8]Rosangela Ballini, Ronald R. Yager:
Linear decaying weights for Time Series smoothing: an Analysis. Int. J. Uncertain. Fuzziness Knowl. Based Syst. 22(1): 23-40 (2014) - [c33]Leandro Maciel, Fernando A. C. Gomide, David Santos, Rosangela Ballini:
Exchange rate forecasting using echo state networks for trading strategies. CIFEr 2014: 40-47 - [c32]Raul Rosa, Leandro Maciel, Fernando A. C. Gomide, Rosangela Ballini:
Evolving hybrid neural fuzzy network for realized volatility forecasting with jumps. CIFEr 2014: 481-488 - [c31]Leandro Maciel, Fernando A. C. Gomide, Rosangela Ballini:
Recursive possibilistic fuzzy modeling. EALS 2014: 9-16 - 2013
- [c30]Leandro Maciel, Fernando A. C. Gomide, Rosangela Ballini, Ronald R. Yager:
Simplified evolving rule-based fuzzy modeling of realized volatility forecasting with jumps. CIFEr 2013: 82-89 - [c29]Leandro Maciel, Fernando A. C. Gomide, Rosangela Ballini:
Forecasting Exchange Rates with Fuzzy Granular Evolving Modeling for Trading Strategies. EUSFLAT Conf. 2013 - [c28]Raul Rosa, Fernando A. C. Gomide, Rosangela Ballini:
Evolving Hybrid Neural Fuzzy Network for System Modeling and Time Series Forecasting. ICMLA (2) 2013: 378-383 - [p1]André Paim Lemos, Rosangela Ballini, Walmir M. Caminhas, Fernando A. C. Gomide:
System Modeling and Forecasting with Evolving Fuzzy Algorithms. Soft Computing: State of the Art Theory and Novel Applications 2013: 255-268 - 2012
- [j7]Leandro Maciel, André Paim Lemos, Fernando A. C. Gomide, Rosangela Ballini:
Evolving fuzzy systems for pricing fixed income options. Evol. Syst. 3(1): 5-18 (2012) - [j6]Daniel F. Leite, Rosangela Ballini, Pyramo Costa Jr., Fernando A. C. Gomide:
Evolving fuzzy granular modeling from nonstationary fuzzy data streams. Evol. Syst. 3(2): 65-79 (2012) - [j5]Ivette Luna, Rosangela Ballini:
Adaptive fuzzy system to forecast financial time series volatility. J. Intell. Fuzzy Syst. 23(1): 27-38 (2012) - [c27]Ivette Luna, Rosangela Ballini:
Online estimation of stochastic volatility for asset returns. CIFEr 2012: 1-7 - [c26]Leandro Maciel, Fernando A. C. Gomide, Rosangela Ballini:
MIMO evolving functional fuzzy models for interest rate forecasting. CIFEr 2012: 1-8 - [c25]Leandro Maciel, Fernando A. C. Gomide, Rosangela Ballini:
Modeling the term structure of government bond yields with a differential evolution algorithm. CIFEr 2012: 1-8 - [c24]Leandro Maciel, Fernando A. C. Gomide, Rosangela Ballini:
An enhanced approach for evolving participatory learning fuzzy modeling. EAIS 2012: 23-28 - [c23]André Paim Lemos, Daniel F. Leite, Leandro Maciel, Rosangela Ballini, Walmir M. Caminhas, Fernando A. C. Gomide:
Evolving fuzzy linear regression tree approach for forecasting sales volume of petroleum products. FUZZ-IEEE 2012: 1-8 - [c22]Leandro Maciel, Fernando A. C. Gomide, Rosangela Ballini:
MIMO evolving participatory learning fuzzy modeling. FUZZ-IEEE 2012: 1-8 - [c21]Leandro Maciel, Fernando A. C. Gomide, Rosangela Ballini:
Evolving Fuzzy Modeling for Stock Market Forecasting. IPMU (4) 2012: 20-29 - 2011
- [c20]Gustavo de Oliveira Aggio, Rosangela Ballini, Fernando A. C. Gomide:
Out-of-equilibrium price dynamics and the inflationary process. CIFEr 2011: 1-8 - [c19]Leandro Maciel, Fernando A. C. Gomide, Rosangela Ballini:
Evolving fuzzy systems for pricing fixed income options. EAIS 2011: 54-61 - [c18]Ivette Luna, Rosangela Ballini, Secundino Soares, Donato da Silva-Filho:
Fuzzy inference systems for synthetic monthly inflow time series generation. EUSFLAT Conf. 2011: 1060-1065 - [c17]Ivette Raymunda Luna Huamani, Rosangela Ballini, Ieda Geriberto Hidalgo, Paulo Sergio Franco Barbosa, Alberto Luiz Francato:
Daily reservoir inflow forecasting using fuzzy inference systems. FUZZ-IEEE 2011: 2745-2751 - [c16]Daniel F. Leite, Fernando A. C. Gomide, Rosangela Ballini, Pyramo Costa Jr.:
Fuzzy granular evolving modeling for time series prediction. FUZZ-IEEE 2011: 2794-2801 - 2010
- [c15]Rosangela Ballini, Fernando A. C. Gomide:
Recurrent fuzzy neural computation: Modeling, learning and application. FUZZ-IEEE 2010: 1-6 - [c14]Ricardo Menezes Salgado, Takaaki Ohishi, Rosangela Ballini:
A short-term bus load forecasting system. HIS 2010: 55-60 - [c13]Ivette Luna, Leandro Maciel, Rodrigo Lanna F. da Silveira, Rosangela Ballini:
Estimating the Brazilian Central Bank's Reaction Function by Fuzzy Inference System. IPMU (2) 2010: 324-333
2000 – 2009
- 2009
- [j4]Rosangela Ballini, A. R. R. Mendonça, Fernando A. C. Gomide:
Evolving fuzzy modelling in risk analysis. Intell. Syst. Account. Finance Manag. 16(1-2): 71-86 (2009) - 2007
- [c12]Michel Hell, Rosangela Ballini, Pyramo Costa Jr., Fernando A. C. Gomide:
Training Neurofuzzy Networks with Participatory Learning. EUSFLAT Conf. (2) 2007: 231-236 - [c11]Ivette Luna, Secundino Soares, Rosangela Ballini:
An Adaptive Hybrid Model for Monthly Streamflow Forecasting. FUZZ-IEEE 2007: 1-6 - [c10]Ivette Luna, Secundino Soares, Rosangela Ballini:
A Constructive-Fuzzy System Modeling for Time Series Forecasting. IJCNN 2007: 2908-2913 - 2006
- [c9]Marcos A. L. Filho, Takaaki Ohishi, Rosangela Ballini:
Ensembles of Selected and Evolved Predictors using Genetic Algorithms for Time Series Prediction. IEEE Congress on Evolutionary Computation 2006: 2872-2879 - [c8]Ricardo Menezes Salgado, Joaquim J. F. Pereira, Takaaki Ohishi, Rosangela Ballini, Clodoaldo Ap. M. Lima, Fernando J. Von Zuben:
A Hybrid Ensemble Model Applied to the Short-Term Load Forecasting Problem. IJCNN 2006: 2627-2634 - 2004
- [j3]Maurício F. Figueiredo, Rosangela Ballini, Secundino Soares, Marinho Gomes Andrade, Fernando A. C. Gomide:
Learning algorithms for a class of neurofuzzy network and application. IEEE Trans. Syst. Man Cybern. Part C 34(3): 293-301 (2004) - [c7]Marina H. Magalhaes, Rosangela Ballini, Rodrigo Gonçalves, Fernando A. C. Gomide:
Predictive fuzzy clustering model for natural streamflow forecasting. FUZZ-IEEE 2004: 1349-1354 - 2003
- [c6]Rosangela Ballini:
Equality index and learning in recurrent fuzzy neural networks. FUZZ-IEEE 2003: 155-160 - [c5]Rosangela Ballini, Fernando A. C. Gomide:
Gradient Projection Method and Equality Index in Recurrent Neural Fuzzy Network. IFSA 2003: 585-594 - 2002
- [j2]Rosangela Ballini, Fernando A. C. Gomide:
Heuristic learning in recurrent neural fuzzy networks. J. Intell. Fuzzy Syst. 13(2-4): 63-74 (2002) - [c4]Rosangela Ballini, Fernando A. C. Gomide:
Learning in recurrent, hybrid neurofuzzy networks. FUZZ-IEEE 2002: 785-790 - [c3]Rosangela Ballini, Fernando A. C. Gomide:
A Recurrent Fuzzy Neural Network: Learning and Application. SBRN 2002: 153 - 2001
- [c2]Rosangela Ballini, Fernando A. C. Gomide, Secundino Soares:
A Recurrent Neurofuzzy Network Structure & Learning Preceedure. FUZZ-IEEE 2001: 1408-1411 - 2000
- [b1]Rosangela Ballini:
Analise e previsões de vasões utilizando modelos de series temporais, redes neurais e redes neurais nebulosas. University of Campinas, Brazil, 2000 - [j1]Rosangela Ballini, Fernando J. Von Zuben:
Application of neural networks to adaptive control of nonlinear systems: G.W. Ng, Control Systems Centre Series, UMIST, UK, 1997, ISBN: 0-86380-214-1. Autom. 36(12): 1931-1933 (2000)
1990 – 1999
- 1998
- [c1]Rosangela Ballini, Secundino Soares, Marinho Gomes Andrade:
An Adaptive Neural Fuzzy Network Model for Seasonal Streamflow Forecasting. SBRN 1998: 215-219
Coauthor Index
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last updated on 2023-11-29 23:06 CET by the dblp team
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