Time series forecasting using a perturbative intelligent system. - Paulo S. G. de Mattos Neto; Aranildo Rodrigues Lima Junior; Tiago A. E. Ferreira (GECCO, 2009)

Combining Artificial Neural Network and Particle Swarm System for time series forecasting. - Paulo S. G. de Mattos Neto; Gustavo G. Petry; Aranildo Rodrigues Lima Junior; Tiago A. E. Ferreira (IJCNN, 2009)

A prime step in the time series forecasting with hybrid methods: The fitness function choice. - L. J. Aranildo Rodrigues; Paulo S. G. de Mattos Neto; Tiago A. E. Ferreira (IJCNN, 2009)

An experimental study of fitness function and time series forecasting using artificial neural networks. - Aranildo Rodrigues Lima Junior; David Augusto Silva; Paulo Salgado Gomes de Mattos Neto; Tiago A. E. Ferreira (GECCO (Companion), 2010)

An intelligent perturbative approach for the time series forecasting problem. - Paulo S. G. de Mattos Neto; Aranildo R. Lima; Tiago A. E. Ferreira; George D. C. Cavalcanti (IJCNN, 2010)

A simulation environment for volatility analysis of developed and in development markets. - Paulo S. G. de Mattos Neto; Tiago A. E. Ferreira; George D. C. Cavalcanti (IJCNN, 2011)

Lag selection for time series forecasting using Particle Swarm Optimization. - Gustavo H. T. Ribeiro; Paulo S. G. de Mattos Neto; George D. C. Cavalcanti; Ing Ren Tsang (IJCNN, 2011)

A System Based on Swarm Particle Optimization to Extract Knowledge from Times Series Data. - Henrique Correia Torres Santos; Gabriela I. L. Alves; Neilson F. de Lima; Paulo S. G. de Mattos Neto; Tiago A. E. Ferreira (SBRN, 2012)

Um Método para análise de mercados de ações utilizando séries temporais de índices financeiros. - Paulo Salgado Gomes de Mattos Neto (2012)

Hybrid intelligent system for air quality forecasting using phase adjustment. - Paulo S. G. de Mattos Neto; Francisco Madeiro; Tiago A. E. Ferreira; George D. C. Cavalcanti (Eng. Appl. Artif. Intell., 2014)

Measurement of Fitness Function efficiency using Data Envelopment Analysis. - David Augusto Silva; Gabriela I. L. Alves; Paulo S. G. de Mattos Neto; Tiago A. E. Ferreira (Expert Syst. Appl., 2014)

Correcting and combining time series forecasters. - Paulo Renato A. Firmino; Paulo S. G. de Mattos Neto; Tiago A. E. Ferreira (Neural Networks, 2014)

Error modeling approach to improve time series forecasters. - Paulo Renato A. Firmino; Paulo S. G. de Mattos Neto; Tiago A. E. Ferreira (Neurocomputing, 2015)

Type-2 fuzzy GMM for text-independent speaker verification under unseen noise conditions. - Hector N. B. Pinheiro; Sergio R. F. Vieira; Tsang Ing Ren; George D. C. Cavalcanti; Paulo S. G. de Mattos Neto (ICASSP, 2016)

Applying a general hybrid intelligent system for ultra-high-frequency stock market forecasting. - Paulo S. G. de Mattos Neto; Tiago A. E. Ferreira (IJCNN, 2016)

Accelerating Families of Fuzzy K-Means Algorithms for Vector Quantization Codebook Design. - Edson Mata; Silvio Bandeira; Paulo S. G. de Mattos Neto; Waslon Terllizzie A. Lopes; Francisco Madeiro (Sensors, 2016)

A perturbative approach for enhancing the performance of time series forecasting. - Paulo S. G. de Mattos Neto; Tiago A. E. Ferreira; Aranildo R. Lima; Germano C. Vasconcelos; George D. C. Cavalcanti (Neural Networks, 2017)

Nonlinear combination method of forecasters applied to PM time series. - Paulo S. G. de Mattos Neto; George D. C. Cavalcanti; Francisco Madeiro (Pattern Recognit. Lett., 2017)

Hybrid Time Series Forecasting Models Applied to Automotive On-Board Diagnostics Systems. - Diogo M. Almeida; Paulo S. G. de Mattos Neto; Daniel C. Cunha 001 (IJCNN, 2018)

Improving the accuracy of intelligent forecasting models using the Perturbation Theory. - Eraylson G. Silva; Domingos S. de O. Junior; George D. C. Cavalcanti; Paulo S. G. de Mattos Neto (IJCNN, 2018)

Hybrid System for Time Series using Iterative Residual Forecasting Models. - Eraylson Galdino da Silva; Paulo Salgado Gomes de Mattos Neto; João Fausto Lorenzato de Oliveira (BRACIS, 2019)

A Novel Combining-Based Method of Pool Generation for Ensemble Regression Problems. - Robson D. A. Timoteo; Daniel C. Cunha 001; Paulo S. G. de Mattos Neto (FLAIRS, 2019)

An intelligent hybridization of ARIMA with machine learning models for time series forecasting. - Domingos S. de O. Junior; João F. L. de Oliveira; Paulo S. G. de Mattos Neto (Knowl. Based Syst., 2019)

Exceptional Survival Model Mining. - Juliana Barcellos Mattos; Eraylson G. Silva; Paulo S. G. de Mattos Neto; Renato Vimieiro (BRACIS (2), 2020)

Layers Sequence Optimizing for Deep Neural Networks using Multiples Objectives. - Paulo S. G. de Mattos Neto; Péricles B. C. Miranda; George D. C. Cavalcanti; Tapas Si; Filipe R. Cordeiro; Mayara Castro (CEC, 2020)

On the evaluation of dynamic selection parameters for time series forecasting. - Eraylson G. Silva; George D. C. Cavalcanti; João Fausto Lorenzato de Oliveira; Paulo S. G. de Mattos Neto (IJCNN, 2020)

A Hybrid Nonlinear Combination System for Monthly Wind Speed Forecasting. - Paulo S. G. de Mattos Neto; João Fausto Lorenzato de Oliveira; Domingos S. de O. Junior; Hugo Valadares Siqueira; Manoel Henrique da Nobrega Marinho; Francisco Madeiro (IEEE Access, 2020)

A hybrid optimized error correction system for time series forecasting. - João Fausto Lorenzato de Oliveira; Luciano Demetrio Santos Pacífico; Paulo Salgado Gomes de Mattos Neto; Emanoel Francisco Spósito Barreiros; Cleyton Mário de Oliveira Rodrigues; Adauto Trigueiro de Almeida Filho (Appl. Soft Comput., 2020)

Data integration and prediction models of photovoltaic production from Brazilian northeastern. - Hugo Abreu Mendes; Henrique Ferreira Nunes; Paulo Salgado Gomes de Mattos Neto (CoRR, 2020)

A temporal-window framework for modelling and forecasting time series. - Paulo S. G. de Mattos Neto; George D. C. Cavalcanti; Paulo Renato A. Firmino; Eraylson G. Silva; Sérgio R. P. Vila Nova Filho (Knowl. Based Syst., 2020)

A Multi-Objective Grammatical Evolution Framework to Generate Convolutional Neural Network Architectures. - Cleber A. C. F. da Silva; Daniel Carneiro Rosa; Péricles B. C. Miranda; Filipe R. Cordeiro; Tapas Si; André C. A. Nascimento; Rafael Ferreira Leite de Mello; Paulo S. G. de Mattos Neto (CEC, 2021)

A Hybrid Model With Error Correction for Wind Speed Forecasting. - Tathiana M. Barchi; Lucas Francesco Piccioni Costa; Erickson Diogo Pereira Puchta; Marcella S. R. Martins; Mauren Louise Sguario C. Andrade; Paulo S. G. de Mattos Neto; Hugo Valadares Siqueira (LA-CCI, 2021)

Neural-Based Ensembles for Particulate Matter Forecasting. - Paulo S. G. de Mattos Neto; Paulo Renato A. Firmino; Hugo Siqueira 001; Yara de Souza Tadano; Thiago Antonini Alves; João Fausto Lorenzato de Oliveira; Manoel Henrique da Nobrega Marinho; Francisco Madeiro (IEEE Access, 2021)

A Dynamic Predictor Selection Method Based on Recent Temporal Windows for Time Series Forecasting. - Eraylson G. Silva; Paulo S. G. de Mattos Neto; George D. C. Cavalcanti (IEEE Access, 2021)

An adaptive hybrid system using deep learning for wind speed forecasting. - Paulo S. G. de Mattos Neto; João F. L. de Oliveira; Domingos S. de O. Junior; Hugo Valadares Siqueira; Manoel Henrique da Nobrega Marinho; Francisco Madeiro (Inf. Sci., 2021)

Energy Consumption Forecasting for Smart Meters Using Extreme Learning Machine Ensemble. - Paulo S. G. de Mattos Neto; João F. L. de Oliveira; Priscilla Bassetto; Hugo Valadares Siqueira; Luciano Barbosa; Emilly Pereira Alves; Manoel Henrique da Nobrega Marinho; Guilherme Ferretti Rissi; Fu Li (Sensors, 2021)

A Library and Web Platform for RoboCup Soccer Matches Data Analysis. - Felipe N. A. Pereira; Mateus F. B. Soares; Conceição Rocha; Tales T. Alves; Tiago H. R. P. Gonçalves; José R. da Silva; Tsang Ing Ren; Paulo S. G. de Mattos Neto; Edna Natividade da Silva Barros (RoboCup, 2022)

Web Soccer Monitor: An Open-Source 2D Soccer Simulation Monitor for the Web and the Foundation for a New Ecosystem. - Mateus F. B. Soares; Tsang Ing Ren; Paulo S. G. de Mattos Neto; Edna Natividade da Silva Barros (RoboCup, 2022)

Multi-human Fall Detection and Localization in Videos. - Mouglas Eugênio Nasário Gomes; David L. Macêdo; Cleber Zanchettin; Paulo Salgado Gomes de Mattos Neto; Adriano L. I. Oliveira (Comput. Vis. Image Underst., 2022)

A Hybrid System Based on Dynamic Selection for Time Series Forecasting. - João F. L. de Oliveira; Eraylson G. Silva; Paulo S. G. de Mattos Neto (IEEE Trans. Neural Networks Learn. Syst., 2022)

An Intelligent Dynamic Selection System Based on Nearest Temporal Windows for Time Series Forecasting. - Gabriel Mendes Matos; Paulo S. G. de Mattos Neto (ICANN (6), 2023)

Hybrid System with Dynamic Classification for Combining Time Series Forecasts. - Emilly Pereira Alves; Felipe Alberto B. S. Ferreira; Francisco Madeiro; Paulo S. G. de Mattos Neto; João Fausto Lorenzato de Oliveira (LA-CCI, 2023)

A novel multi-objective grammar-based framework for the generation of Convolutional Neural Networks. - Cleber A. C. F. da Silva; Daniel Carneiro Rosa; Péricles B. C. Miranda; Filipe R. Cordeiro; Tapas Si; André C. A. Nascimento; Rafael Ferreira Leite de Mello; Paulo S. G. de Mattos Neto (Expert Syst. Appl., 2023)

An error correction system for sea surface temperature prediction. - Ricardo de A. Araújo; Paulo S. G. de Mattos Neto; Nadia Nedjah; Sérgio Castelo Branco Soares (Neural Comput. Appl., 2023)

A hybrid system based on ensemble learning to model residuals for time series forecasting. - Domingos S. de O. Junior; Paulo S. G. de Mattos Neto; João F. L. de Oliveira; George D. C. Cavalcanti (Inf. Sci., 2023)

A Data Distribution-Based Ensemble Generation Applied to Wind Speed Forecasting. - Diogo M. Almeida; Paulo S. G. de Mattos Neto; Daniel C. Cunha 001 (BRACIS (1), 2024)

A New Ensemble with Partition Size Variation Applied to Wind Speed Time Series. - Diogo M. Almeida; Paulo S. G. de Mattos Neto; Daniel Carvalho da Cunha (HAIS (2), 2024)

An Evolutionary Approach to Forecasting Models Hybridization. - Camila Ascendina; Paulo Salgado Gomes de Mattos Neto; João Fausto Lorenzato de Oliveira; Péricles B. C. Miranda (ICMLC, 2024)

SPO: Single Pass Optimization for Soccer Simulation 2D. - Walber M. Rodrigues; Pedro V. Cunha; Rafael R. De Labio; Mateus G. Machado; Paulo Salgado Gomes de Mattos Neto; Edna Natividade da Silva Barros (LARS, 2024)

On the Sea Surface Temperature Forecasting Problem with Deep Dilation-Erosion-Linear Models. - Ricardo de A. Araújo; Paulo S. G. de Mattos Neto; Nadia Nedjah; Sérgio C. B. Soares (Big Data Res., 2024)

A dynamic ensemble approach based on trend analysis to COVID-19 incidence forecast. - Jair Paulino de Sales; Paulo S. G. de Mattos Neto; Paulo Renato A. Firmino (Biomed. Signal Process. Control., 2024)

A hybrid recursive direct system for multi-step mortality rate forecasting. - Filipe Coelho de Lima Duarte; Paulo S. G. de Mattos Neto; Paulo Renato A. Firmino (J. Supercomput., 2024)

EsmamDS: A more diverse exceptional survival model mining approach. - Renato Vimieiro; Juliana Barcellos Mattos; Paulo S. G. de Mattos Neto (Inf. Sci., 2025)

Memetic algorithm-based optimization of hybrid forecasting systems for multivariate time series. - Guilherme Afonso Galindo Padilha; Jason J. Jung; Paulo S. G. de Mattos Neto (Neural Comput. Appl., 2025)