Paulo S. G. de Mattos Neto

50 papers A 1B 11C 2Misc 2Journal 26Unranked 8

Year	Rank	Type	Title / Venue / Authors
2025	—	`conf`	AutoFAR: An Intelligent Hybrid System for Boosting Autoformer Forecasts. BRACIS (4) Filipe Coelho de Lima Duarte, Ruam E. R. C. Pastor, Luís G. B. Amaral, Paulo S. G. de Mattos Neto, Jair Paulino de Sales
2025	J	`jnl`	EsmamDS: A more diverse exceptional survival model mining approach. Inf. Sci. Renato Vimieiro, Juliana Barcellos Mattos, Paulo S. G. de Mattos Neto
2025	J	`jnl`	Improving accuracy in short mortality rate series: Exploring Multi-step Forecasting Approaches in Hybrid Systems. CoRR Filipe Coelho de Lima Duarte, Paulo S. G. de Mattos Neto, Paulo Renato A. Firmino
2025	J	`jnl`	Memetic algorithm-based optimization of hybrid forecasting systems for multivariate time series. Neural Comput. Appl. Guilherme Afonso Galindo Padilha, Jason J. Jung, Paulo S. G. de Mattos Neto
2025	J	`jnl`	Regression of Functions by Quantum Neural Networks Circuits. CoRR Fernando M. de Paula Neto, Lucas dos Reis Silva, Paulo S. G. de Mattos Neto, Felipe F. Fanchini
2024	—	`conf`	A Data Distribution-Based Ensemble Generation Applied to Wind Speed Forecasting. BRACIS (1) Diogo M. Almeida, Paulo S. G. de Mattos Neto, Daniel C. Cunha
2024	—	`conf`	A New Ensemble with Partition Size Variation Applied to Wind Speed Time Series. HAIS (2) Diogo M. Almeida, Paulo S. G. de Mattos Neto, Daniel Carvalho da Cunha
2024	J	`jnl`	A dynamic ensemble approach based on trend analysis to COVID-19 incidence forecast. Biomed. Signal Process. Control. Jair Paulino de Sales, Paulo S. G. de Mattos Neto, Paulo Renato A. Firmino
2024	J	`jnl`	A hybrid recursive direct system for multi-step mortality rate forecasting. J. Supercomput. Filipe Coelho de Lima Duarte, Paulo S. G. de Mattos Neto, Paulo Renato A. Firmino
2024	J	`jnl`	On the Sea Surface Temperature Forecasting Problem with Deep Dilation-Erosion-Linear Models. Big Data Res. Ricardo de A. Araújo, Paulo S. G. de Mattos Neto, Nadia Nedjah, Sérgio C. B. Soares
2023	J	`jnl`	A hybrid system based on ensemble learning to model residuals for time series forecasting. Inf. Sci. Domingos S. de O. Junior, Paulo S. G. de Mattos Neto, João F. L. de Oliveira, George D. C. Cavalcanti
2023	J	`jnl`	A novel multi-objective grammar-based framework for the generation of Convolutional Neural Networks. Expert Syst. Appl. 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
2023	—	`conf`	An Intelligent Dynamic Selection System Based on Nearest Temporal Windows for Time Series Forecasting. ICANN (6) Gabriel Mendes Matos, Paulo S. G. de Mattos Neto
2023	J	`jnl`	An error correction system for sea surface temperature prediction. Neural Comput. Appl. Ricardo de A. Araújo, Paulo S. G. de Mattos Neto, Nadia Nedjah, Sérgio Castelo Branco Soares
2023	—	`conf`	Hybrid System with Dynamic Classification for Combining Time Series Forecasts. LA-CCI Emilly Pereira Alves, Felipe Alberto B. S. Ferreira, Francisco Madeiro, Paulo S. G. de Mattos Neto, João Fausto Lorenzato de Oliveira
2022	J	`jnl`	A Hybrid System Based on Dynamic Selection for Time Series Forecasting. IEEE Trans. Neural Networks Learn. Syst. João F. L. de Oliveira, Eraylson G. Silva, Paulo S. G. de Mattos Neto
2022	C	`conf`	A Library and Web Platform for RoboCup Soccer Matches Data Analysis. RoboCup 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
2022	C	`conf`	Web Soccer Monitor: An Open-Source 2D Soccer Simulation Monitor for the Web and the Foundation for a New Ecosystem. RoboCup Mateus F. B. Soares, Tsang Ing Ren, Paulo S. G. de Mattos Neto, Edna Natividade da Silva Barros
2021	J	`jnl`	A Dynamic Predictor Selection Method Based on Recent Temporal Windows for Time Series Forecasting. IEEE Access Eraylson G. Silva, Paulo S. G. de Mattos Neto, George D. C. Cavalcanti
2021	—	`conf`	A Hybrid Model With Error Correction for Wind Speed Forecasting. LA-CCI 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
2021	B	`conf`	A Multi-Objective Grammatical Evolution Framework to Generate Convolutional Neural Network Architectures. CEC 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
2021	J	`jnl`	An adaptive hybrid system using deep learning for wind speed forecasting. Inf. Sci. 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
2021	J	`jnl`	Energy Consumption Forecasting for Smart Meters Using Extreme Learning Machine Ensemble. Sensors 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
2021	J	`jnl`	EsmamDS: A more diverse exceptional survival model mining approach. CoRR Juliana Barcellos Mattos, Paulo S. G. de Mattos Neto, Renato Vimieiro
2021	J	`jnl`	Neural-Based Ensembles for Particulate Matter Forecasting. IEEE Access 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
2020	J	`jnl`	A Hybrid Nonlinear Combination System for Monthly Wind Speed Forecasting. IEEE Access 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
2020	J	`jnl`	A temporal-window framework for modelling and forecasting time series. Knowl. Based Syst. Paulo S. G. de Mattos Neto, George D. C. Cavalcanti, Paulo Renato A. Firmino, Eraylson G. Silva, Sérgio R. P. Vila Nova Filho
2020	—	`conf`	Exceptional Survival Model Mining. BRACIS (2) Juliana Barcellos Mattos, Eraylson G. Silva, Paulo S. G. de Mattos Neto, Renato Vimieiro
2020	B	`conf`	Layers Sequence Optimizing for Deep Neural Networks using Multiples Objectives. CEC Paulo S. G. de Mattos Neto, Péricles B. C. Miranda, George D. C. Cavalcanti, Tapas Si, Filipe R. Cordeiro, Mayara Castro
2020	B	`conf`	On the evaluation of dynamic selection parameters for time series forecasting. IJCNN Eraylson G. Silva, George D. C. Cavalcanti, João Fausto Lorenzato de Oliveira, Paulo S. G. de Mattos Neto
2019	Misc	`conf`	A Novel Combining-Based Method of Pool Generation for Ensemble Regression Problems. FLAIRS Robson D. A. Timoteo, Daniel C. Cunha, Paulo S. G. de Mattos Neto
2019	J	`jnl`	An intelligent hybridization of ARIMA with machine learning models for time series forecasting. Knowl. Based Syst. Domingos S. de O. Junior, João F. L. de Oliveira, Paulo S. G. de Mattos Neto
2018	B	`conf`	Hybrid Time Series Forecasting Models Applied to Automotive On-Board Diagnostics Systems. IJCNN Diogo M. Almeida, Paulo S. G. de Mattos Neto, Daniel C. Cunha
2018	B	`conf`	Improving the accuracy of intelligent forecasting models using the Perturbation Theory. IJCNN Eraylson G. Silva, Domingos S. de O. Junior, George D. C. Cavalcanti, Paulo S. G. de Mattos Neto
2017	J	`jnl`	A perturbative approach for enhancing the performance of time series forecasting. Neural Networks Paulo S. G. de Mattos Neto, Tiago A. E. Ferreira, Aranildo R. Lima, Germano C. Vasconcelos, George D. C. Cavalcanti
2017	J	`jnl`	Nonlinear combination method of forecasters applied to PM time series. Pattern Recognit. Lett. Paulo S. G. de Mattos Neto, George D. C. Cavalcanti, Francisco Madeiro
2016	J	`jnl`	Accelerating Families of Sensors Edson Mata, Silvio Bandeira, Paulo S. G. de Mattos Neto, Waslon Terllizzie A. Lopes, Francisco Madeiro
2016	B	`conf`	Applying a general hybrid intelligent system for ultra-high-frequency stock market forecasting. IJCNN Paulo S. G. de Mattos Neto, Tiago A. E. Ferreira
2016	Misc	`conf`	Type-2 fuzzy GMM for text-independent speaker verification under unseen noise conditions. ICASSP Hector N. B. Pinheiro, Sergio R. F. Vieira, Tsang Ing Ren, George D. C. Cavalcanti, Paulo S. G. de Mattos Neto
2015	J	`jnl`	Error modeling approach to improve time series forecasters. Neurocomputing Paulo Renato A. Firmino, Paulo S. G. de Mattos Neto, Tiago A. E. Ferreira
2014	J	`jnl`	Correcting and combining time series forecasters. Neural Networks Paulo Renato A. Firmino, Paulo S. G. de Mattos Neto, Tiago A. E. Ferreira
2014	J	`jnl`	Hybrid intelligent system for air quality forecasting using phase adjustment. Eng. Appl. Artif. Intell. Paulo S. G. de Mattos Neto, Francisco Madeiro, Tiago A. E. Ferreira, George D. C. Cavalcanti
2014	J	`jnl`	Measurement of Fitness Function efficiency using Data Envelopment Analysis. Expert Syst. Appl. David Augusto Silva, Gabriela I. L. Alves, Paulo S. G. de Mattos Neto, Tiago A. E. Ferreira
2012	—	`conf`	A System Based on Swarm Particle Optimization to Extract Knowledge from Times Series Data. SBRN Henrique Correia Torres Santos, Gabriela I. L. Alves, Neilson F. de Lima, Paulo S. G. de Mattos Neto, Tiago A. E. Ferreira
2011	B	`conf`	A simulation environment for volatility analysis of developed and in development markets. IJCNN Paulo S. G. de Mattos Neto, Tiago A. E. Ferreira, George D. C. Cavalcanti
2011	B	`conf`	Lag selection for time series forecasting using Particle Swarm Optimization. IJCNN Gustavo H. T. Ribeiro, Paulo S. G. de Mattos Neto, George D. C. Cavalcanti, Ing Ren Tsang
2010	B	`conf`	An intelligent perturbative approach for the time series forecasting problem. IJCNN Paulo S. G. de Mattos Neto, Aranildo R. Lima, Tiago A. E. Ferreira, George D. C. Cavalcanti
2009	B	`conf`	A prime step in the time series forecasting with hybrid methods: The fitness function choice. IJCNN L. J. Aranildo Rodrigues, Paulo S. G. de Mattos Neto, Tiago A. E. Ferreira
2009	B	`conf`	Combining Artificial Neural Network and Particle Swarm System for time series forecasting. IJCNN Paulo S. G. de Mattos Neto, Gustavo G. Petry, Aranildo Rodrigues Lima Junior, Tiago A. E. Ferreira
2009	A	`conf`	Time series forecasting using a perturbative intelligent system. GECCO Paulo S. G. de Mattos Neto, Aranildo Rodrigues Lima Junior, Tiago A. E. Ferreira