Classification of Events in Switch Machines Using Bayes, Fuzzy Logic System and Neural Network. - Eduardo P. de Aguiar; Fernando M. de A. Nogueira; Renan P. F. Amaral; Diego F. Fabri; Sérgio C. de A. Rossignoli; José Geraldo Ferreira; Marley M. B. R. Vellasco; Ricardo Tanscheit; Moisés Vidal Ribeiro; Pedro C. G. da S. Vellasco (EANN, 2014)

EANN 2014: a fuzzy logic system trained by conjugate gradient methods for fault classification in a switch machine. - Eduardo P. de Aguiar; Fernando M. de A. Nogueira; Renan P. F. Amaral; Diego F. Fabri; Sérgio C. de A. Rossignoli; José Geraldo Ferreira; Marley M. B. R. Vellasco; Ricardo Tanscheit; Pedro C. G. da S. Vellasco; Moisés Vidal Ribeiro (Neural Comput. Appl., 2016)

Computing derivatives in interval type-2 fuzzy logic systems trained by steepest descent method for fault classification in a switch machine. - Eduardo P. de Aguiar; Renan P. F. Amaral; Marley M. B. R. Vellasco; Moisés Vidal Ribeiro (FUZZ-IEEE, 2017)

Predicting material backorders in inventory management using machine learning. - Rodrigo Barbosa de Santis; Eduardo Pestana de Aguiar; Leonardo Goliatt da Fonseca (LA-CCI, 2017)

An enhanced receiver for an impulsive UWB-based PLC system for low-bit rate applications. - Marlon Lucas Gomes Salmento; Eduardo P. de Aguiar; Ândrei Camponogara; Moisés Vidal Ribeiro (Digit. Signal Process., 2017)

Set-Membership Type-1 Fuzzy Logic System Applied to Fault Classification in a Switch Machine. - Eduardo P. de Aguiar; Fernando M. de A. Nogueira; Marley M. B. R. Vellasco; Moisés Vidal Ribeiro (IEEE Trans. Intell. Transp. Syst., 2017)

Classification of Short Circuit GMA Welding using Type-1 and Singleton Fuzzy Logic System. - Rafaela Abreu Campos; Renan Piazzaroli Finotti Amaral; Ivan Fabio Mota de Menezes; Leonardo Goliatt da Fonseca; Moises Luiz Lagares; Eduardo Pestana de Aguiar (FUZZ-IEEE, 2018)

Detection and Classification of Faults in Aeronautical Gas Turbine Engine: a Comparison Between two Fuzzy Logic Systems. - Mateus Gheorghe de Castro Ribeiro; Pedro Henrique Souza Calderano; Renan Piazzaroli Finotti Amaral; Ivan Fabio Mota de Menezes; Ricardo Tanscheit; Marley Maria Bernardes Rebuzzi Vellasco; Eduardo Pestana de Aguiar (FUZZ-IEEE, 2018)

Type-1 and singleton fuzzy logic system trained by a fast scaled conjugate gradient methods for dealing with binary classification problems. - Renan Piazzaroli Finotti Amaral; Moisés Vidal Ribeiro; Eduardo P. de Aguiar (Neurocomputing, 2019)

NMPC controller applied to an UAV Path Following Problem. - Tiago Henrique Santa Maria; Guilherme Augusto Namorato Pusssente; André Luís Marques Marcato; Eduardo Pestana de Aguiar (LARS/SBR/WRE, 2020)

Self-Organised Direction Aware Data Partitioning for Type-2 Fuzzy Time Series Prediction. - Arthur Caio Vargas Pinto; Petrônio C. L. Silva; Frederico G. Guimarães; Christian Wagner 002; Eduardo P. de Aguiar (FUZZ-IEEE, 2021)

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)

Trajectory Detection Method for Transmission Line Path Following Control. - Guilherme Augusto Namorato Pusssente; Tiago Henrique Santa Maria; André Luís Marques Marcato; Eduardo Pestana de Aguiar (LARS/SBR/WRE, 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)

Unsupervised machine learning techniques to prevent faults in railroad switch machines. - Nielson Soares; Eduardo Pestana de Aguiar; Amanda Campos Souza; Leonardo Goliatt (Int. J. Crit. Infrastructure Prot., 2021)

A New Model to Distinguish Railhead Defects Based on Set-Membership Type-2 Fuzzy Logic System. - Eduardo P. de Aguiar; Thiago E. Fernandes; Fernando M. de A. Nogueira; Daniel Discini Silveira; Marley M. B. R. Vellasco; Moisés Vidal Ribeiro (Int. J. Fuzzy Syst., 2021)

Predictors and outcomes of individual knowledge on early-stage pandemic: Social media, information credibility, public opinion, and behaviour in a large-scale global study. - Yash Chawla; Agnieszka Radziwon; Laurent Scaringella; Ewa Lazarczyk Carlson; Marco Greco; Paulo Duarte Silveira; Eduardo Pestana de Aguiar; QingYang Shen; Markus Will; Anna Kowalska-Pyzalska (Inf. Process. Manag., 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)

Semi-supervised deep rule-based approach for the classification of Wagon Bogie springs condition. - Carlos M. Viriato Neto; Luca G. Honorio; Eduardo P. de Aguiar (Evol. Syst., 2022)

Interval type-2 fuzzy set based time series forecasting using a data-driven partitioning approach. - Arthur Caio Vargas Pinto; Thiago E. Fernandes; Petrônio C. L. Silva; Frederico G. Guimarães; Christian Wagner 002; Eduardo Pestana de Aguiar (Evol. Syst., 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)

Stochastic Optimization Combined with Type-2 Fuzzy Logic System for the Classification of Trends in Hot Boxes and Hot Wheels. - Lara D. Fonseca; Eduardo Pestana de Aguiar (Int. J. Fuzzy Syst., 2022)

A Data-Driven Time-Series Fault Prediction Framework for Dynamically Evolving Large-Scale Data Streaming Systems. - Michell Hell; Eduardo Pestana de Aguiar; Nielson Soares; Leonardo Goliatt (Int. J. Fuzzy Syst., 2022)

A Fuzzy Approach to LPFG-Based Optical Sensor Processing and Interrogation. - Felipe Oliveira Barino; Eduardo Pestana de Aguiar; Leonardo de Mello Honório; Vinicius Nunes Henrique Silva; Andrés Pablo López-Barbero; Alexandre Bessa dos Santos (IEEE Trans. Instrum. Meas., 2022)

Deep Learning-Based Handover Prediction for 5G and Beyond Networks. - João Paulo S. H. Lima; Álvaro Augusto M. de Medeiros; Eduardo P. de Aguiar; Edelberto F. Silva; Vicente A. de Sousa Jr.; Marcelo L. Nunes; Alysson L. Reis (ICC, 2023)

Multifractal Analysis of the Brazilian Electricity Market. - Alessandro L. Castro; André Luís Marques Marcato; Eduardo P. de Aguiar (IEEE Access, 2023)

UAV Power Line Tracking Control Based on a Type-2 Fuzzy-PID Approach. - Guilherme A. N. Pussente; Eduardo P. de Aguiar; André L. M. Marcato; Milena F. Pinto (Robotics, 2023)

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)

Autonomous data partitioning for type-2 fuzzy set based time series. - Arthur Caio Vargas Pinto; Larissa C. C. da Silva; Petrônio C. L. Silva; Frederico G. Guimarães; Eduardo P. de Aguiar (Evol. Syst., 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)