Skip to content

Paulo S. G. de Mattos Neto

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

19

Venues

9

Active years

2009–2025

Best venue rank

B

Where they publish

Papers

19 indexed papers, newest first.

YearVenueTitleAuthors
2025WorldCISTStudy on the Impact of the Degradation Method on the Generalization of Super-Resolution Models for ALPR.Cristiano L. Oliveira, Leonardo N. Matos, Paulo S. G. de Mattos Neto, Paulo Novais, Flvio Arthur O. Santos, Marcelo H. L. Barreto
2024HAISA 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
2023ICANNAn Intelligent Dynamic Selection System Based on Nearest Temporal Windows for Time Series Forecasting.Gabriel Mendes Matos, Paulo S. G. de Mattos Neto
2022RoboCupA Library and Web Platform for RoboCup Soccer Matches Data Analysis.Felipe N. A. Pereira, Mateus F. B. Soares, Conceio Rocha, Tales T. Alves, Tiago H. R. P. Gonalves, Jos R. da Silva, Tsang Ing Ren, Paulo S. G. de Mattos Neto, Edna Natividade da Silva Barros
2022RoboCupWeb 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
2021CECA Multi-Objective Grammatical Evolution Framework to Generate Convolutional Neural Network Architectures.Cleber A. C. F. da Silva, Daniel Carneiro Rosa, Pricles B. C. Miranda, Filipe R. Cordeiro, Tapas Si, Andr C. A. Nascimento, Rafael Ferreira Leite de Mello, Paulo S. G. de Mattos Neto
2020CECLayers Sequence Optimizing for Deep Neural Networks using Multiples Objectives.Paulo S. G. de Mattos Neto, Pricles B. C. Miranda, George D. C. Cavalcanti, Tapas Si, Filipe R. Cordeiro, Mayara Castro
2020IJCNNOn the evaluation of dynamic selection parameters for time series forecasting.Eraylson G. Silva, George D. C. Cavalcanti, Joo Fausto Lorenzato de Oliveira, Paulo S. G. de Mattos Neto
2019FlAIRSA Novel Combining-Based Method of Pool Generation for Ensemble Regression Problems.Robson D. A. Timoteo, Daniel C. Cunha, Paulo S. G. de Mattos Neto
2018IJCNNHybrid Time Series Forecasting Models Applied to Automotive On-Board Diagnostics Systems.Diogo M. Almeida, Paulo S. G. de Mattos Neto, Daniel C. Cunha
2018IJCNNImproving 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
2016ICASSPType-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
2016IJCNNApplying a general hybrid intelligent system for ultra-high-frequency stock market forecasting.Paulo S. G. de Mattos Neto, Tiago A. E. Ferreira
2011IJCNNA 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
2011IJCNNLag 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
2010IJCNNAn 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
2009GECCOTime series forecasting using a perturbative intelligent system.Paulo S. G. de Mattos Neto, Aranildo Rodrigues Lima Junior, Tiago A. E. Ferreira
2009IJCNNCombining 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
2009IJCNNA 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