Paulo S. G. de Mattos Neto

Publication Activity (10 Years)

Years Active: 2009-2023
Publications (10 Years): 29

Top Topics

Grammatical Evolution

Forecasting Model

Top Venues

Expert Syst. Appl.

Publications

Ricardo de A. Araújo, Paulo S. G. de Mattos Neto, Nadia Nedjah, Sérgio Castelo Branco Soares
An error correction system for sea surface temperature prediction. Neural Comput. Appl. 35 (16) (2023)
Cleber A. C. F. da Silva, Daniel Carneiro Rosa, Péricles B. C. de Miranda, Filipe R. Cordeiro, Tapas Si, André C. A. Nascimento, Rafael Ferreira Leite de Mello, Paulo S. G. de Mattos Neto
A novel multi-objective grammar-based framework for the generation of Convolutional Neural Networks. Expert Syst. Appl. 212 (2023)
Emilly Pereira Alves, Felipe Alberto B. S. Ferreira, Francisco Madeiro, Paulo S. G. de Mattos Neto, João Fausto Lorenzato de Oliveira
Hybrid System with Dynamic Classification for Combining Time Series Forecasts. LA-CCI (2023)
Domingos S. de O. Junior, Paulo S. G. de Mattos Neto, João F. L. de Oliveira, George D. C. Cavalcanti
A hybrid system based on ensemble learning to model residuals for time series forecasting. Inf. Sci. 649 (2023)
João F. L. de Oliveira, Eraylson G. Silva, Paulo S. G. de Mattos Neto
A Hybrid System Based on Dynamic Selection for Time Series Forecasting. IEEE Trans. Neural Networks Learn. Syst. 33 (8) (2022)
Mateus F. B. Soares, Tsang Ing Ren, Paulo S. G. de Mattos Neto, Edna Natividade da Silva Barros
Web Soccer Monitor: An Open-Source 2D Soccer Simulation Monitor for the Web and the Foundation for a New Ecosystem. RoboCup (2022)
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
A Library and Web Platform for RoboCup Soccer Matches Data Analysis. RoboCup (2022)
Cleber A. C. F. da Silva, Daniel Carneiro Rosa, Péricles B. C. de Miranda, Filipe R. Cordeiro, Tapas Si, André C. A. Nascimento, Rafael Ferreira Leite de Mello, Paulo S. G. de Mattos Neto
A Multi-Objective Grammatical Evolution Framework to Generate Convolutional Neural Network Architectures. CEC (2021)
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
Energy Consumption Forecasting for Smart Meters Using Extreme Learning Machine Ensemble. Sensors 21 (23) (2021)
Paulo S. G. de Mattos Neto, Paulo Renato A. Firmino, Hugo Siqueira, Yara de Souza Tadano, Thiago Antonini Alves, João Fausto Lorenzato de Oliveira, Manoel Henrique da Nobrega Marinho, Francisco Madeiro
Neural-Based Ensembles for Particulate Matter Forecasting. IEEE Access 9 (2021)
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
A Hybrid Model With Error Correction for Wind Speed Forecasting. LA-CCI (2021)
Juliana Barcellos Mattos, Paulo S. G. de Mattos Neto, Renato Vimieiro
EsmamDS: A more diverse exceptional survival model mining approach. CoRR (2021)
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
An adaptive hybrid system using deep learning for wind speed forecasting. Inf. Sci. 581 (2021)
Eraylson G. Silva, Paulo S. G. de Mattos Neto, George D. C. Cavalcanti
A Dynamic Predictor Selection Method Based on Recent Temporal Windows for Time Series Forecasting. IEEE Access 9 (2021)
Eraylson G. Silva, George D. C. Cavalcanti, João Fausto Lorenzato de Oliveira, Paulo S. G. de Mattos Neto
On the evaluation of dynamic selection parameters for time series forecasting. IJCNN (2020)
Juliana Barcellos Mattos, Eraylson G. Silva, Paulo S. G. de Mattos Neto, Renato Vimieiro
Exceptional Survival Model Mining. BRACIS (2) (2020)
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
A Hybrid Nonlinear Combination System for Monthly Wind Speed Forecasting. IEEE Access 8 (2020)
Paulo S. G. de Mattos Neto, Péricles B. C. de Miranda, George D. C. Cavalcanti, Tapas Si, Filipe R. Cordeiro, Mayara Castro
Layers Sequence Optimizing for Deep Neural Networks using Multiples Objectives. CEC (2020)
Paulo S. G. de Mattos Neto, George D. C. Cavalcanti, Paulo Renato A. Firmino, Eraylson G. Silva, Sérgio R. P. Vila Nova Filho
A temporal-window framework for modelling and forecasting time series. Knowl. Based Syst. 193 (2020)
Robson D. A. Timoteo, Daniel C. Cunha, Paulo S. G. de Mattos Neto
A Novel Combining-Based Method of Pool Generation for Ensemble Regression Problems. FLAIRS Conference (2019)
Domingos S. de O. Junior, João F. L. de Oliveira, Paulo S. G. de Mattos Neto
An intelligent hybridization of ARIMA with machine learning models for time series forecasting. Knowl. Based Syst. 175 (2019)
Diogo M. Almeida, Paulo S. G. de Mattos Neto, Daniel C. Cunha
Hybrid Time Series Forecasting Models Applied to Automotive On-Board Diagnostics Systems. IJCNN (2018)
Eraylson G. Silva, Domingos S. de O. Junior, George D. C. Cavalcanti, Paulo S. G. de Mattos Neto
Improving the accuracy of intelligent forecasting models using the Perturbation Theory. IJCNN (2018)
Paulo S. G. de Mattos Neto, George D. C. Cavalcanti, Francisco Madeiro
Nonlinear combination method of forecasters applied to PM time series. Pattern Recognit. Lett. 95 (2017)
Paulo S. G. de Mattos Neto, Tiago A. E. Ferreira, Aranildo R. Lima, Germano C. Vasconcelos, George D. C. Cavalcanti
A perturbative approach for enhancing the performance of time series forecasting. Neural Networks 88 (2017)
Edson Mata, Silvio Bandeira, Paulo S. G. de Mattos Neto, Waslon Terllizzie A. Lopes, Francisco Madeiro
Algorithms for Vector Quantization Codebook Design. Sensors 16 (11) (2016)
Paulo S. G. de Mattos Neto, Tiago A. E. Ferreira
Applying a general hybrid intelligent system for ultra-high-frequency stock market forecasting. IJCNN (2016)
Hector N. B. Pinheiro, Sergio R. F. Vieira, Tsang Ing Ren, George D. C. Cavalcanti, Paulo S. G. de Mattos Neto
Type-2 fuzzy GMM for text-independent speaker verification under unseen noise conditions. ICASSP (2016)
Paulo Renato A. Firmino, Paulo S. G. de Mattos Neto, Tiago A. E. Ferreira
Error modeling approach to improve time series forecasters. Neurocomputing 153 (2015)
Paulo S. G. de Mattos Neto, Francisco Madeiro, Tiago A. E. Ferreira, George D. C. Cavalcanti
Hybrid intelligent system for air quality forecasting using phase adjustment. Eng. Appl. Artif. Intell. 32 (2014)
Paulo Renato A. Firmino, Paulo S. G. de Mattos Neto, Tiago A. E. Ferreira
Correcting and combining time series forecasters. Neural Networks 50 (2014)
David Augusto Silva, Gabriela I. L. Alves, Paulo S. G. de Mattos Neto, Tiago A. E. Ferreira
Measurement of Fitness Function efficiency using Data Envelopment Analysis. Expert Syst. Appl. 41 (16) (2014)
Henrique C. T. Santos, Gabriela I. L. Alves, Neilson F. de Lima, Paulo S. G. de Mattos Neto, Tiago A. E. Ferreira
A System Based on Swarm Particle Optimization to Extract Knowledge from Times Series Data. SBRN (2012)
Gustavo H. T. Ribeiro, Paulo S. G. de Mattos Neto, George D. C. Cavalcanti, Ing Ren Tsang
Lag selection for time series forecasting using Particle Swarm Optimization. IJCNN (2011)
Paulo S. G. de Mattos Neto, Tiago A. E. Ferreira, George D. C. Cavalcanti
A simulation environment for volatility analysis of developed and in development markets. IJCNN (2011)
Paulo S. G. de Mattos Neto, Aranildo R. Lima, Tiago A. E. Ferreira, George D. C. Cavalcanti
An intelligent perturbative approach for the time series forecasting problem. IJCNN (2010)
L. J. Aranildo Rodrigues, Paulo S. G. de Mattos Neto, Tiago A. E. Ferreira
A prime step in the time series forecasting with hybrid methods: The fitness function choice. IJCNN (2009)
Paulo S. G. de Mattos Neto, Gustavo G. Petry, Aranildo Rodrigues Lima Junior, Tiago A. E. Ferreira
Combining Artificial Neural Network and Particle Swarm System for time series forecasting. IJCNN (2009)
Paulo S. G. de Mattos Neto, Aranildo Rodrigues Lima Junior, Tiago A. E. Ferreira
Time series forecasting using a perturbative intelligent system. GECCO (2009)