Evolving Fuzzy Modeling with Variable Step-Size applied to Gas Prices Forecasting in Brazil. - Eduardo Ravaglia Campos Queiroz; Kaike Sa Teles Rocha Alves; Fernando Luiz Cyrino Oliveira; Eduardo Pestana de Aguiar (FUZZ-IEEE, 2021)

A novel rule-based evolving Fuzzy System applied to the thermal modeling of power transformers. - Kaike Sa Teles Rocha Alves; Eduardo Pestana de Aguiar (Appl. Soft Comput., 2021)

Kernel Evolving Participatory Fuzzy Modeling for Time Series Forecasting: New Perspectives Based on Similarity Measures. - Eduardo Santos de Oliveira Marques; Kaike Sa Teles Rocha Alves; Direnc Pekaslan; Eduardo Pestana de Aguiar (EAIS, 2022)

Kernel Evolving Participatory Fuzzy Modeling for Time Series Forecasting: New Perspectives Based on Distance Measures. - Eduardo Santos de Oliveira Marques; Kaike Sa Teles Rocha Alves; Direnc Pekaslan; Eduardo Pestana de Aguiar (FUZZ-IEEE, 2022)

A New evolving Fuzzy System with Mechanisms to Deal With Uncertainties in Times Series Forecasting. - Kaike Sa Teles Rocha Alves; Direnc Pekaslan; Christian Wagner 002; Eduardo Pestana de Aguiar (LA-CCI, 2022)

Variable step-size evolving participatory learning with kernel recursive least squares applied to gas prices forecasting in Brazil. - Eduardo Ravaglia Campos Queiroz; Kaike Sa Teles Rocha Alves; Fernando Luiz Cyrino Oliveira; Eduardo Pestana de Aguiar (Evol. Syst., 2022)

A new Takagi-Sugeno-Kang model for time series forecasting. - Kaike Sa Teles Rocha Alves; Caian Dutra de Jesus; Eduardo Pestana de Aguiar (Eng. Appl. Artif. Intell., 2024)

Rule-based Evolving Fuzzy System for Time Series Forecasting: New Perspectives Based on Type-2 Fuzzy Sets Measures Approach. - Eduardo Santos de Oliveira Marques; Arthur Caio Vargas Pinto; Kaike Sa Teles Rocha Alves; Eduardo Pestana de Aguiar (CoRR, 2025)

NFISiS: New Perspectives on Fuzzy Inference Systems for Renewable Energy Forecasting. - Kaike Sa Teles Rocha Alves; Eduardo Pestana de Aguiar (CoRR, 2025)