João F. L. Oliveira

According to our database, João F. L. Oliveira authored at least 38 papers between 2011 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

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., November, 2023

A selective hybrid system for state-of-charge forecasting of lithium-ion batteries.

Marie Chantelle Cruz Medina, João Fausto Lorenzato de Oliveira

J. Supercomput., September, 2023

A Hybrid Swarm-Based System for Commodity Price Forecasting During the Covid-19 Pandemic.

André L. S. Xavier, Bruno J. T. Fernandes, João F. L. Oliveira

IEEE Access, 2023

Hybrid Model and Ensemble for Inflation Forecasting: A Machine Learning Approach.

André L. S. Xavier, Bruno J. T. Fernandes, João F. L. de Oliveira

Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2023

Legal Judgement Prediction: A comparative analysis of legal documents in Brazil.

Cristian Millán-Arias, Marie Chantelle Cruz Medina, Jean Felipe Coelho Ferreira, Lucas Matheus Da Silva Oliveira, Allana Rocha, Leandro Honorato de Souza Silva, Cleyton M. O. Rodrigues, João Fausto Lorenzato de Oliveira, Paulo Christiano Sobral, Nathália Cauás, Bruno José Torres Fernandes

Proceedings of the IEEE Latin American Conference on Computational Intelligence, 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

Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2023

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 Automated Machine Learning Approach for Real-Time Fault Detection and Diagnosis.

Dênis Leite, Aldonso Martins-Jr, Diego Rativa, João F. L. de Oliveira, Alexandre M. A. Maciel

Sensors, 2022

Use of machine learning and multilevel analysis in hierarchical approaches of public expenditure forecasting.

José Ivo Carille Neto, Fernando B. Lima Neto, João F. L. de Oliveira

Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

Classification of Legal Documents in Portuguese Language Based on Summarization.

Marie Chantelle Cruz Medina, Lucas Matheus Da Silva Oliveira, Jean Felipe Coelho Ferreira, Leandro Honorato de Souza Silva, Cleyton Mário de Oliveira Rodrigues, João Fausto Lorenzato de Oliveira, Paulo Christiano Sobral, Bruno Souza, Dionizio Feitosa, Bruno J. T. Fernandes

Proceedings of the 2022 IEEE Latin American Conference on Computational Intelligence (LA-CCI), 2022

Early prediction of generalized infection in intensive care units from clinical data: a committee-based machine learning approach.

Flávio Secco Fonseca, Arianne Sarmento Torcate, Ana Clara Gomes da Silva, Victor Hugo Wanderley Freire, Gilles Paiva de Medeiros de Farias, João Fausto Lorenzato de Oliveira, Flávio Monteiro De Oliveira Júnior, José Carlos da Silva Júnior, Dayane Aparecida Gomes, Wellington Pinheiro dos Santos

Proceedings of the 2022 IEEE Latin American Conference on Computational Intelligence (LA-CCI), 2022

A Hybrid System with Nonlinear Combination for Wind Speed Forecasting.

Leonardo de Leon Dias, Emerson Alexandre de Oliveira Lima, João Fausto Lorenzato de Oliveira

Proceedings of the Intelligent Systems - 11th Brazilian Conference, 2022

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

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

Benchmarking Machine Learning Models to Assist in the Prognosis of Tuberculosis.

Maicon Herverton Lino Ferreira da Silva Barros, Geovanne Oliveira Alves, Lubnnia Morais Florêncio Souza, Élisson da Silva Rocha, João Fausto Lorenzato de Oliveira, Theo Lynn, Vanderson de Souza Sampaio, Patricia Takako Endo

Informatics, 2021

Neural-Based Ensembles for Particulate Matter Forecasting.

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

IEEE Access, 2021

A hybrid sequential system for inflation forecasting.

André L. S. Xavier, Bruno J. T. Fernandes, João F. L. de Oliveira

Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2021

A hybrid system for Lithium-ion battery State-of-Charge univariate forecasting.

Marie Chantelle Cruz Medina, João Fausto Lorenzato de Oliveira

Proceedings of the 33rd IEEE International Conference on Tools with Artificial Intelligence, 2021

Early detection of students at risk of failure from a small dataset.

Dênis Leite, Edson Filho, João F. L. de Oliveira, Rodrigo E. Carneiro, Alexandre Maciel

Proceedings of the 21st International Conference on Advanced Learning Technologies, 2021

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

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

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

Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Swarm Based Ensembles for Time Series Residual Forecasting.

Rafael Bérgamo B. de Holanda, João F. L. de Oliveira

Proceedings of the 32nd IEEE International Conference on Tools with Artificial Intelligence, 2020

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

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

Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019

2018

Hyper-Heuristics Using Genetic Programming to Time Series Forecasting.

Mariana Macedo, Carlos Henrique Macedo dos Santos, Eronita Maria Luizines Van Leijden, João Fausto Lorenzato de Oliveira, Fernando Buarque de Lima Neto, Hugo Siqueira

Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2018

Plant Classification Using Artificial Neural Networks.

Luciano D. S. Pacífico, Valmir Macário Filho, João F. L. Oliveira

Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Evolutionary ELMs with Alternative Treatments for the Population Out-Bounded Individuals.

Luciano D. S. Pacífico, Teresa Bernarda Ludermir, João F. L. Oliveira

Proceedings of the 7th Brazilian Conference on Intelligent Systems, 2018

2017

Programming Language Adoption as an Epidemiological Phenomenon.

Emanoel Francisco Spósito Barreiros, Jones O. Albuquerque, João F. L. de Oliveira, Helaine Lins, Sérgio Soares

Proceedings of the 31st Brazilian Symposium on Software Engineering, 2017

A Hybrid Semi-linear System for Time Series Forecasting.

João Fausto Lorenzato de Oliveira, Emanoel Francisco Spósito Barreiros, Cleyton Mário de Oliveira Rodrigues, Adauto Trigueiro de Almeida Filho

Proceedings of the 2017 Brazilian Conference on Intelligent Systems, 2017

2016

A hybrid evolutionary decomposition system for time series forecasting.

João Fausto Lorenzato de Oliveira, Teresa Bernarda Ludermir

Neurocomputing, 2016

2014

A distributed PSO-ARIMA-SVR hybrid system for time series forecasting.

João Fausto Lorenzato de Oliveira, Teresa Bernarda Ludermir

Proceedings of the 2014 IEEE International Conference on Systems, Man, and Cybernetics, 2014

Iterative ARIMA-multiple support vector regression models for long term time series prediction.

João F. L. Oliveira, Teresa Bernarda Ludermir

Proceedings of the 22th European Symposium on Artificial Neural Networks, 2014

A Hybrid Evolutionary System for Parameter Optimization and Lag Selection in Time Series Forecasting.

João Fausto Lorenzato de Oliveira, Teresa Bernarda Ludermir

Proceedings of the 2014 Brazilian Conference on Intelligent Systems, 2014

2013

A Hybrid Group Search Optimization Based on Fish Swarms.

João F. L. Oliveira, Luciano D. S. Pacífico, Teresa Bernarda Ludermir

Proceedings of the Brazilian Conference on Intelligent Systems, 2013

2012

Predicting Gene Functions Using Semi-supervised Clustering Algorithms with Objective Function Optimization.

Valmir Macário Filho, Ivan G. Costa, João F. L. Oliveira, Francisco de A. T. de Carvalho

Proceedings of the 2012 Brazilian Symposium on Neural Networks, 2012

A Modified Artificial Fish Swarm Algorithm for the Optimization of Extreme Learning Machines.

João Fausto Lorenzato de Oliveira, Teresa Bernarda Ludermir

Proceedings of the Artificial Neural Networks and Machine Learning - ICANN 2012, 2012

2011

Homogeneous Ensemble Selection through Hierarchical Clustering with a Modified Artificial Fish Swarm Algorithm.

João Fausto Lorenzato de Oliveira, Teresa Bernarda Ludermir

Proceedings of the IEEE 23rd International Conference on Tools with Artificial Intelligence, 2011