Fernando A. C. Gomide

ORCID

Publication Activity (10 Years)

Years Active: 1984-2024
Publications (10 Years): 38

Top Venues

Publications

Leandro Maciel, Fernando A. C. Gomide
Recursive Level Set Fuzzy Modeling. EAIS (2024)
Daniel F. Leite, Fernando A. C. Gomide
Data Driven Fuzzy and Neural Dynamic Systems Modeling. ICMLC (2023)
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) (2023)
Daniel F. Leite, Igor Skrjanc, Saso Blazic, Andrej Zdesar, Fernando A. C. Gomide
Interval incremental learning of interval data streams and application to vehicle tracking. Inf. Sci. 630 (2023)
Leandro Maciel, Rosangela Ballini, Fernando A. C. Gomide
Data Driven Level Set Method in Fuzzy Modeling and Forecasting. NAFIPS (2022)
Daniel F. Leite, Fernando A. C. Gomide, Ronald R. Yager
Data Driven Fuzzy Modeling Using Level Sets. FUZZ-IEEE (2022)
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 (2022)
Alisson Porto, Fernando A. C. Gomide
Evolving hyperbox fuzzy modeling. Evol. Syst. 13 (3) (2022)
Lucas Morais, Rodrigo Gonçalves, Alexandre Tazoniero, Fernando A. C. Gomide
Algorithms for Freight Train Scheduling. IJCCI (2022)
Leandro Maciel, Rosangela Ballini, Fernando A. C. Gomide
Data Driven Level Set Fuzzy Modeling for Cryptocurrencies Price Forecasting. IJCCI (2022)
Gabriela de Castro Surita, André P. Lemos, Fernando A. C. Gomide
Fuzzy Baselines to Stabilize Policy Gradient Reinforcement Learning. NAFIPS (2021)
Anderson Bento, Lucas Oliveira, Ignácio Rubio Scola, Valter J. S. Leite, Fernando A. C. Gomide
Evolving granular control with high-gain observers for feedback linearizable nonlinear systems. Evol. Syst. 12 (4) (2021)
Daniel F. Leite, Goran Andonovski, Igor Skrjanc, Fernando A. C. Gomide
Optimal Rule-Based Granular Systems From Data Streams. IEEE Trans. Fuzzy Syst. 28 (3) (2020)
Lucas Oliveira, Anderson Bento, Valter J. S. Leite, Fernando A. C. Gomide
Evolving granular feedback linearization: Design, analysis, and applications. Appl. Soft Comput. 86 (2020)
Daniel F. Leite, Igor Skrjanc, Fernando A. C. Gomide
An overview on evolving systems and learning from stream data. Evol. Syst. 11 (2) (2020)
Leandro Maciel, Rosangela Ballini, Fernando A. C. Gomide
Adaptive Interval Fuzzy Modeling from Stream Data and Application in Cryptocurrencies Forecasting. NAFIPS (2020)
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)
Daniel F. Leite, Fernando A. C. Gomide, Igor Skrjanc
Multiobjective Optimization of Fully Autonomous Evolving Fuzzy Granular Models. FUZZ-IEEE (2019)
Lucas Oliveira, Valter J. S. Leite, Anderson Bento, Fernando A. C. Gomide
Robust Granular Feedback Linearization. FUZZ-IEEE (2019)
Allison Porto, Fernando A. C. Gomide
Granular Evolving Min-Max Fuzzy Modeling. EUSFLAT Conf. (2019)
Lucas Oliveira, Anderson Bento, Valter J. S. Leite, Fernando A. C. Gomide
Robust Evolving Granular Feedback Linearization. IFSA/NAFIPS (2019)
Igor Skrjanc, José Antonio Iglesias, Araceli Sanchis, Daniel F. Leite, Edwin Lughofer, Fernando A. C. Gomide
Evolving fuzzy and neuro-fuzzy approaches in clustering, regression, identification, and classification: A Survey. Inf. Sci. 490 (2019)
Rafael Vieira, Fernando A. C. Gomide, Rosangela Ballini
Kernel Evolving Participatory Fuzzy Modeling for Time Series Forecasting. FUZZ-IEEE (2018)
Rafael Vieira, Leandro Maciel, Rosangela Ballini, Fernando A. C. Gomide
Stock Market Price Forecasting Using a Kernel Participatory Learning Fuzzy Model. NAFIPS (2018)
Alisson Porto, Fernando A. C. Gomide
Evolving Granular Fuzzy Min-Max Modeling. NAFIPS (2018)
Leandro Maciel, Rosangela Ballini, Fernando A. C. Gomide
Evolving Possibilistic Fuzzy Modeling for Realized Volatility Forecasting With Jumps. IEEE Trans. Fuzzy Syst. 25 (2) (2017)
Yi-Ling Liu, Fernando A. C. Gomide
Fuzzy systems modeling with participatory search algorithm. IFSA-SCIS (2017)
Yi-Ling Liu, Fernando A. C. Gomide
Participatory Search in Evolutionary Fuzzy Modeling. Soft Computing Based Optimization and Decision Models (2017)
Alisson Porto, Fernando A. C. Gomide
Evolving Granular Fuzzy Min-Max Regression. NAFIPS (2017)
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)
Leandro Maciel, Rosangela Ballini, Fernando A. C. Gomide
An evolving possibilistic fuzzy modeling approach for Value-at-Risk estimation. Appl. Soft Comput. 60 (2017)
Yi-Ling Liu, Fernando A. C. Gomide
A participatory search algorithm. Evol. Intell. 10 (1-2) (2017)
Lucas Oliveira, Valter J. S. Leite, Jeferson Silva, Fernando A. C. Gomide
Granular evolving fuzzy robust feedback linearization. EAIS (2017)
Daniel F. Leite, Marcio Santana, Ana Borges, Fernando A. C. Gomide
Fuzzy Granular Neural Network for incremental modeling of nonlinear chaotic systems. FUZZ-IEEE (2016)
Leandro Maciel, Fernando A. C. Gomide, Rosangela Ballini
A differential evolution algorithm for yield curve estimation. Math. Comput. Simul. 129 (2016)
Ranyeri Rocha, Fernando A. C. Gomide
Performance evaluation of evolving classifier algorithms in high dimensional spaces. NAFIPS (2016)
Leandro Maciel, Rosangela Ballini, Fernando A. C. Gomide
Evolving possibilistic fuzzy modeling for equity options pricing. EAIS (2016)
Leandro Maciel, Rosangela Ballini, Fernando A. C. Gomide, Ronald R. Yager
Participatory Learning Fuzzy Clustering for Interval-Valued Data. IPMU (1) (2016)
Leandro Maciel, Fernando A. C. Gomide, Rosangela Ballini
Evolving possibilistic fuzzy modeling for financial interval time series forecasting. NAFIPS/WConSC (2015)
Leandro Maciel, Fernando A. C. Gomide, Rosangela Ballini
Evolving possibilistic fuzzy modeling. FUZZ-IEEE (2015)
Alisson Marques Silva, Walmir M. Caminhas, André P. Lemos, Fernando A. C. Gomide
Adaptive Input Selection and Evolving Neural Fuzzy Networks Modeling. Int. J. Comput. Intell. Syst. 8 (sup1) (2015)
Leandro Maciel, André Paim Lemos, Rosangela Ballini, Fernando A. C. Gomide
Adaptive Fuzzy C-Regression Modeling for Time Series Forecasting. IFSA-EUSFLAT (2015)
Daniel F. Leite, Reinaldo M. Palhares, Víctor C. S. Campos, Fernando A. C. Gomide
Evolving Granular Fuzzy Model-Based Control of Nonlinear Dynamic Systems. IEEE Trans. Fuzzy Syst. 23 (4) (2015)
Fernando A. C. Gomide, Edwin Lughofer
Recent advances on evolving intelligent systems and applications. Evol. Syst. 5 (4) (2014)
Michel Hell, Pyramo Costa, Fernando A. C. Gomide
Participatory learning in the neurofuzzy short-term load forecasting. CIES (2014)
Leandro Maciel, Fernando A. C. Gomide, David Santos, Rosangela Ballini
Exchange rate forecasting using echo state networks for trading strategies. CIFEr (2014)
Igor Skrjanc, Dejan Dovzan, Fernando A. C. Gomide
Evolving fuzzy-madel-based on c-regression clustering. EAIS (2014)
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) (2014)
Alisson Marques Silva, Walmir M. Caminhas, André Paim Lemos, Fernando A. C. Gomide
A fast learning algorithm for evolving neo-fuzzy neuron. Appl. Soft Comput. 14 (2014)
Raul Rosa, Fernando A. C. Gomide, Dejan Dovzan, Igor Skrjanc
Evolving neural network with extreme learning for system modeling. EAIS (2014)
Raul Rosa, Leandro Maciel, Fernando A. C. Gomide, Rosangela Ballini
Evolving hybrid neural fuzzy network for realized volatility forecasting with jumps. CIFEr (2014)
Leandro Maciel, Fernando A. C. Gomide, Rosangela Ballini
Recursive possibilistic fuzzy modeling. EALS (2014)
Alisson Marques Silva, Walmir M. Caminhas, André Paim Lemos, Fernando A. C. Gomide
Real-time nonlinear modeling of a twin rotor MIMO system using evolving neuro-fuzzy network. CICA (2014)
Fernando Bordignon, Fernando A. C. Gomide
Uninorm based evolving neural networks and approximation capabilities. Neurocomputing 127 (2014)
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)
Yi-Ling Liu, Fernando A. C. Gomide
Fuzzy systems modeling with participatory evolution. IFSA/NAFIPS (2013)
Leandro Maciel, Fernando A. C. Gomide, Rosangela Ballini
Forecasting Exchange Rates with Fuzzy Granular Evolving Modeling for Trading Strategies. EUSFLAT Conf. (2013)
Fernando A. C. Gomide
On Fuzziness. On Fuzziness (1) (2013)
Raul Rosa, Fernando A. C. Gomide, Rosangela Ballini
Evolving Hybrid Neural Fuzzy Network for System Modeling and Time Series Forecasting. ICMLA (2) (2013)
Yi-Ling Liu, Fernando A. C. Gomide
Participatory genetic learning in fuzzy system modeling. GEFS (2013)
Yi-Ling Liu, Fernando A. C. Gomide
Evolutionary participatory learning in fuzzy systems modeling. FUZZ-IEEE (2013)
Daniel F. Leite, Pyramo Costa Jr., Fernando A. C. Gomide
Evolving granular neural networks from fuzzy data streams. Neural Networks 38 (2013)
André Paim Lemos, Walmir M. Caminhas, Fernando A. C. Gomide
Adaptive fault detection and diagnosis using an evolving fuzzy classifier. Inf. Sci. 220 (2013)
Yi-Ling Liu, Fernando A. C. Gomide
Genetic participatory algorithm and system modeling. GECCO (Companion) (2013)
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) (2012)
Leandro Maciel, Fernando A. C. Gomide, Rosangela Ballini
An enhanced approach for evolving participatory learning fuzzy modeling. EAIS (2012)
Leandro Maciel, Fernando A. C. Gomide, Rosangela Ballini
MIMO evolving participatory learning fuzzy modeling. FUZZ-IEEE (2012)
Leandro Maciel, André Paim Lemos, Fernando A. C. Gomide, Rosangela Ballini
Evolving fuzzy systems for pricing fixed income options. Evol. Syst. 3 (1) (2012)
Leandro Maciel, Fernando A. C. Gomide, Rosangela Ballini
Modeling the term structure of government bond yields with a differential evolution algorithm. CIFEr (2012)
Daniel F. Leite, Pyramo Costa Jr., Fernando A. C. Gomide
Evolving granular neural network for fuzzy time series forecasting. IJCNN (2012)
Leandro Maciel, Fernando A. C. Gomide, Rosangela Ballini
MIMO evolving functional fuzzy models for interest rate forecasting. CIFEr (2012)
Leandro Maciel, Fernando A. C. Gomide, Rosangela Ballini
Evolving Fuzzy Modeling for Stock Market Forecasting. IPMU (4) (2012)
Fernando Bordignon, Fernando A. C. Gomide
Extreme Learning for Evolving Hybrid Neural Networks. SBRN (2012)
Alisson Marques Silva, Walmir Matos Caminhas, André Paim Lemos, Fernando A. C. Gomide
Evolving Neural Fuzzy Network with Adaptive Feature Selection. ICMLA (2) (2012)
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)
André Paim Lemos, Walmir M. Caminhas, Fernando A. C. Gomide
Multivariable Gaussian Evolving Fuzzy Modeling System. IEEE Trans. Fuzzy Syst. 19 (1) (2011)
Leandro Maciel, Fernando A. C. Gomide, Rosangela Ballini
Evolving fuzzy systems for pricing fixed income options. EAIS (2011)
André Paim Lemos, Walmir M. Caminhas, Fernando A. C. Gomide
Evolving fuzzy linear regression trees with feature selection. EAIS (2011)
Vitor Marques, Fernando A. C. Gomide
Parameter control of metaheuristics with genetic fuzzy systems. Evol. Intell. 4 (3) (2011)
Gustavo de Oliveira Aggio, Rosangela Ballini, Fernando A. C. Gomide
Out-of-equilibrium price dynamics and the inflationary process. CIFEr (2011)
Daniel F. Leite, Fernando A. C. Gomide, Rosangela Ballini, Pyramo Costa Jr.
Fuzzy granular evolving modeling for time series prediction. FUZZ-IEEE (2011)
André Paim Lemos, Walmir M. Caminhas, Fernando A. C. Gomide
Fuzzy evolving linear regression trees. Evol. Syst. 2 (1) (2011)
Rosangela Ballini, Fernando A. C. Gomide
Recurrent fuzzy neural computation: Modeling, learning and application. FUZZ-IEEE (2010)
Vitor Marques, Fernando A. C. Gomide
Memory control of tabu search with genetic fuzzy systems. FUZZ-IEEE (2010)
Daniel F. Leite, Pyramo Costa Jr., Fernando A. C. Gomide
Granular Approach for Evolving System Modeling. IPMU (2010)
André Paim Lemos, Walmir M. Caminhas, Fernando A. C. Gomide
Fuzzy Multivariable Gaussian Evolving Approach for Fault Detection and Diagnosis. IPMU (2010)
Daniel F. Leite, Pyramo Costa Jr., Fernando A. C. Gomide
Evolving granular neural network for semi-supervised data stream classification. IJCNN (2010)
André Paim Lemos, Walmir Matos Caminhas, Fernando A. C. Gomide
Evolving fuzzy linear regression trees. FUZZ-IEEE (2010)
Vitor Marques, Fernando A. C. Gomide
Fuzzy coordination of genetic algorithms for vehicle routing problems with time windows. GEFS (2010)
Igor Walter, Fernando A. C. Gomide
Coevolutionary Genetic Fuzzy System to Assess Multiagent Bidding Strategies in Electricity Markets. IFSA/EUSFLAT Conf. (2009)
Rachel Pereira, Ivan Ricarte, Fernando A. C. Gomide
Information retrieval with FROM: The fuzzy relational ontological model. Int. J. Intell. Syst. 24 (3) (2009)
Igor Walter, Fernando A. C. Gomide
Multiagent coevolutionary genetic fuzzy system to develop bidding strategies in electricity markets: computational economics to assess mechanism design. Evol. Intell. 2 (1-2) (2009)
Daniel F. Leite, Pyramo Costa Jr., Fernando A. C. Gomide
Evolving granular classification neural networks. IJCNN (2009)
Rosana Motta Jafelice, B. F. Z. Bechara, Laécio C. Barros, Rodney Carlos Bassanezi, Fernando A. C. Gomide
Cellular automata with fuzzy parameters in microscopic study of positive HIV individuals. Math. Comput. Model. 50 (1-2) (2009)
Rosangela Ballini, A. R. R. Mendonça, Fernando A. C. Gomide
Evolving fuzzy modelling in risk analysis. Intell. Syst. Account. Finance Manag. 16 (1-2) (2009)
Igor Walter, Fernando A. C. Gomide
Electricity market simulation: multiagent system approach. SAC (2008)
Igor Walter, Fernando A. C. Gomide
Coevolutionary fuzzy multiagent bidding strategies in competitive electricity markets. GEFS (2008)
Yurilev Chalco-Cano, Heriberto Román-Flores, Fernando A. C. Gomide
A new type of approximation for fuzzy intervals. Fuzzy Sets Syst. 159 (11) (2008)
Michel Hell, Pyramo Costa Jr., Fernando A. C. Gomide
Hybrid neurofuzzy computing with nullneurons. IJCNN (2008)
Michel Hell, Fernando A. C. Gomide, Pyramo Costa Jr.
Neurons and Neural Fuzzy Networks Based on Nullnorms. SBRN (2008)

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Publication Activity (10 Years)

Top Topics

Top Venues

Fernando A. C. Gomide