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Fernando A. C. Gomide

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

40

Venues

12

Active years

1989–2025

Best venue rank

C

Where they publish

Papers

40 indexed papers, newest first.

YearVenueTitleAuthors
2025EUSFLATAdaptive Fuzzy Level Set Algorithm for Bitcoin Realized Volatility Modeling and Forecasting.Leandro Maciel, Guilherme Freitas, Vinicius Nazato, Fernando A. C. Gomide
2024IPMUAdaptive Fuzzy Level Set Streamflow Modeling and Forecasting.Leandro Maciel, Rosangela Ballini, Fernando A. C. Gomide
2023ICMLCData Driven Fuzzy and Neural Dynamic Systems Modeling.Daniel F. Leite, Fernando A. C. Gomide
2022IJCCIData Driven Level Set Fuzzy Modeling for Cryptocurrencies Price Forecasting.Leandro Maciel, Rosangela Ballini, Fernando A. C. Gomide
2022IJCCIAlgorithms for Freight Train Scheduling.Lucas Morais, Rodrigo Gonalves, Alexandre Tazoniero, Fernando A. C. Gomide
2020IPMUA Fuzzy Model for Interval-Valued Time Series Modeling and Application in Exchange Rate Forecasting.Leandro Maciel, Rosangela Ballini, Fernando A. C. Gomide
2019EUSFLATGranular Evolving Min-Max Fuzzy Modeling.Allison Porto, Fernando A. C. Gomide
2019IFSARobust Evolving Granular Feedback Linearization.Lucas Oliveira, Anderson Bento, Valter J. S. Leite, Fernando A. C. Gomide
2017IFSAFuzzy systems modeling with participatory search algorithm.Yi-Ling Liu, Fernando A. C. Gomide
2016IPMUParticipatory Learning Fuzzy Clustering for Interval-Valued Data.Leandro Maciel, Rosangela Ballini, Fernando A. C. Gomide, Ronald R. Yager
2015EUSFLATAdaptive Fuzzy C-Regression Modeling for Time Series Forecasting.Leandro Maciel, Andr Paim Lemos, Rosangela Ballini, Fernando A. C. Gomide
2013EUSFLATForecasting Exchange Rates with Fuzzy Granular Evolving Modeling for Trading Strategies.Leandro Maciel, Fernando A. C. Gomide, Rosangela Ballini
2013GECCOGenetic participatory algorithm and system modeling.Yi-Ling Liu, Fernando A. C. Gomide
2013ICMLAEvolving Hybrid Neural Fuzzy Network for System Modeling and Time Series Forecasting.Raul Rosa, Fernando A. C. Gomide, Rosangela Ballini
2013IFSAFuzzy systems modeling with participatory evolution.Yi-Ling Liu, Fernando A. C. Gomide
2012ICMLAEvolving Neural Fuzzy Network with Adaptive Feature Selection.Alisson Marques Silva, Walmir Matos Caminhas, Andr Paim Lemos, Fernando A. C. Gomide
2012IJCNNEvolving granular neural network for fuzzy time series forecasting.Daniel F. Leite, Pyramo Costa Jr., Fernando A. C. Gomide
2012IPMUEvolving Fuzzy Modeling for Stock Market Forecasting.Leandro Maciel, Fernando A. C. Gomide, Rosangela Ballini
2010IJCNNEvolving granular neural network for semi-supervised data stream classification.Daniel F. Leite, Pyramo Costa Jr., Fernando A. C. Gomide
2010IPMUGranular Approach for Evolving System Modeling.Daniel F. Leite, Pyramo Costa Jr., Fernando A. C. Gomide
2010IPMUFuzzy Multivariable Gaussian Evolving Approach for Fault Detection and Diagnosis.Andr Paim Lemos, Walmir M. Caminhas, Fernando A. C. Gomide
2009EUSFLATCoevolutionary Genetic Fuzzy System to Assess Multiagent Bidding Strategies in Electricity Markets.Igor Walter, Fernando A. C. Gomide
2009IJCNNEvolving granular classification neural networks.Daniel F. Leite, Pyramo Costa Jr., Fernando A. C. Gomide
2008IJCNNHybrid neurofuzzy computing with nullneurons.Michel Hell, Pyramo Costa Jr., Fernando A. C. Gomide
2008SACElectricity market simulation: multiagent system approach.Igor Walter, Fernando A. C. Gomide
2007EUSFLATTraining Neurofuzzy Networks with Participatory Learning.Michel Hell, Rosangela Ballini, Pyramo Costa Jr., Fernando A. C. Gomide
2007IFSAAn Algorithm to Solve Two-Person Non-zero Sum Fuzzy Games.Wanessa Amaral, Fernando A. C. Gomide
2005EUSFLATHybrid Genetic Algorithms and Clustering.Francisco Mota Filho, Fernando A. C. Gomide
2004IJCNNIntroduction to implicative fuzzy associative memories.Marcos Eduardo Valle, Peter Sussner, Fernando A. C. Gomide
2003EUSFLATCurrent issues and future directions in evolutionary fuzzy systems research.Brian Carse, Anthony G. Pipe, Ingo Renners, Adolf Grauel, Antonio Fernandez Gmez-Skarmeta, Fernando Jimnez, Gracia Snchez, Oscar Cordn, Francisco Herrera, Fernando A. C. Gomide, Igor Walter, Antonio Gonzlez Muoz, Ral Prez
2003EUSFLATGenetic fuzzy systems to evolve coordination strategies in competitive distributed systems.Igor Walter, Fernando A. C. Gomide
2003IFSAGradient Projection Method and Equality Index in Recurrent Neural Fuzzy Network.Rosangela Ballini, Fernando A. C. Gomide
2003SMCEvolving fuzzy bidding strategies in competitive electricity markets.Igor Walter, Fernando A. C. Gomide
2002CECCoevolutionary design of Takagi-Sugeno fuzzy systems.Myriam Regattieri Delgado, Fernando J. Von Zuben, Fernando A. C. Gomide
1999CECEvolutionary design of neurofuzzy networks for pattern classification.Eduardo Masato Iyoda, Leandro Nunes de Castro, Fernando A. C. Gomide, Fernando J. Von Zuben
1999GECCOModular and Hierarchial Evolutionary Design of Fuzzy Systems.Myriam Regattieri Delgado, Fernando J. Von Zuben, Fernando A. C. Gomide
1999IJCNNHybrid tuning of activation functions in feedforward neural networks.Leandro Nunes de Castro, Luis Alberto Ramirez, Fernando A. C. Gomide, Fernando J. Von Zuben
1999IJCNNNeural control of nonlinear systems by frequency response.Carlos Pinheiro, Fernando A. C. Gomide
1994ICECGenetic Algorithms and Discrete Event Systems: An Application.Ricardo R. Gudwin, Fernando A. C. Gomide
1989SMCExtreme conditions for one step convergence of the Hopfield neural network.Edilberto Pereira Teixeira, Fernando A. C. Gomide