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Fernando Gomide


Fernando Gomide

Unicamp
Engenharia de Computação e Automação

Steering committe





Information extracted from Lattes platform


Last update: 2020/02/20


Degrees

Ph.D. Engenharia de Sistemas na Case Western Reserve University em 1983
M.Sc. Engenharia Elétrica na Universidade Estadual de Campinas em 1979
B.Sc. Engenharia Elétrica na Pontifícia Universidade Católica de Minas Gerais em 1975


Current projects

Current applied research projects

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Recent publications

Articles in journals

Evolving granular feedback linearization: Design, analysis, and applications
2020. APPLIED SOFT COMPUTING.
Optimal Rule-based Granular Systems from Data Streams
2019. IEEE TRANSACTIONS ON FUZZY SYSTEMS.
Evolving fuzzy and neuro-fuzzy approaches in clustering, regression, identification, and classification: A Survey
2019. INFORMATION SCIENCES.
Granular approximation of solutions of partial differential equations with fuzzy parameter
2018. Granular Computing.
Evolving fuzzy modelling for yield curve forecasting
2018. International Journal of Economics and Business Research.
A participatory search algorithm
2017. Evolutionary Intelligence.
An evolving possibilistic fuzzy modeling approach for Value-at-Risk estimation
2017. APPLIED SOFT COMPUTING.
Evolving Possibilistic Fuzzy Modeling for Realized Volatility Forecasting With Jumps
2017. IEEE TRANSACTIONS ON FUZZY SYSTEMS.
A Review on Evolving Interval and Fuzzy Granular Systems
2016. LEARNING AND NONLINEAR MODELS.
Stock market volatility prediction using possibilistic fuzzy modelling
2016. INTERNATIONAL JOURNAL OF INNOVATIVE COMPUTING AND APPLICATIONS (PRINT).
A differential evolution algorithm for yield curve estimation
2016. MATHEMATICS AND COMPUTERS IN SIMULATION.
Evolving possibilistic fuzzy modelling
2016. JOURNAL OF STATISTICAL COMPUTATION AND SIMULATION.

Papers in conferences

Robust Granular Feedback Linearization
2019. 2019 IEEE International Conference on Fuzzy Systems (FUZZIEEE).
Granular Evolving Min-Max Fuzzy Modeling
2019. Proceedings of the 2019 Conference of the International Fuzzy Systems Association and the European Society for Fuzzy Logic and Technology (EUSFLAT 2019).
Avaliação Experimental da Linearização por Realimentação Granular Evolutiva
2018. V Congresso Brasileiro de Sistemas Fuzzy.
Kernel Evolving Participatory Fuzzy Modeling for Time Series Prediction
2018. 2018 IEEE International Conference on Fuzzy Systems.
Stock Market Price Forecasting using a Kernel Participatory Learning Fuzzy Model
2018. 37th Annual Conference of the North American Fuzzy Information Processing Society.
Evolving participatory learning fuzzy modeling for financial interval time series forecasting
2017. 2017 Evolving and Adaptive Intelligent Systems (EAIS).
Granular evolving fuzzy robust feedback linearization
2017. 2017 Evolving and Adaptive Intelligent Systems (EAIS).
Fuzzy systems modeling with participatory search algorithm
2017. 2017 Joint 17th World Congress of International Fuzzy Systems Association and 9th International Conference on Soft Computing and Intelligent Systems (IFSASCIS).
Robustez em Linearização por Realimentação Granular Evolutiva
2017. XIII Simpósio Brasileiro de Automação Inteligente.
Modelagem Nebulosa c-regressão para Combinação de Previsões de Séries Temporais
2016. IV Congresso Brasileiro de Sistemas Fuzzy.
Performance evaluation of evolving classifier algorithms in high dimensional spaces
2016. 2016 Annual Conference of the North American Fuzzy Information Processing Society (NAFIPS).
Evolving possibilistic fuzzy modeling for equity options pricing
2016. 2016 IEEE Conference on Evolving and Adaptive Intelligent Systems (EAIS).
Participatory Search Algoritms in Fuzzy Modeling
2016. World Conference on Soft Computing.
Modelagem em Tempo Real do TRMS usando Rede Neuro-Fuzzy Evolutiva
2016. IV Congresso Brasileiro de Sistemas Fuzzy.

Extended abstracts in conferences


Abstracts in conferences

An Approach to Solve Two-Person Non-Zero Sum Fuzzy Games
2007. XVII Congresso de Matemática Capricornio - COMCA 2007.
A Recurrent Fuzzy Neural Network: Learning and Application
2002. VII Brazilian Symposium on Neural Networks - SBRN´2002.
Using Neural Network for Fat Formulation.
1995. 86th AOCS Annual Meeting & Expo.

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Current students

MS

Gabriela Surita. Otimização Em tempo Real de Rotas. Início: 2019. Universidade Estadual de Campinas (Orientador principal)
Rafael Brant Perrotti. Modelagem Granular Evolutiva. Início: 2018. Universidade Estadual de Campinas (Orientador principal)

PhD

Guilherme Maced. Apredizagem de Máquina e Otimização de Sistemas. Início: 2019. Universidade Estadual de Campinas (Orientador principal)

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