João F. L. Oliveira

Orcid: 0000-0002-1150-4904

Affiliations:
  • Federal University of Pernambuco, Recife, PE, Brazil


According to our database1, João F. L. Oliveira authored at least 39 papers between 2011 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
An Evolutionary Approach to Forecasting Models Hybridization.
Proceedings of the 2024 16th International Conference on Machine Learning and Computing, 2024

2023
A hybrid system based on ensemble learning to model residuals for time series forecasting.
Inf. Sci., November, 2023

A selective hybrid system for state-of-charge forecasting of lithium-ion batteries.
J. Supercomput., September, 2023

A Hybrid Swarm-Based System for Commodity Price Forecasting During the Covid-19 Pandemic.
IEEE Access, 2023

Hybrid Model and Ensemble for Inflation Forecasting: A Machine Learning Approach.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2023


Hybrid System with Dynamic Classification for Combining Time Series Forecasts.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2023

2022
A Hybrid System Based on Dynamic Selection for Time Series Forecasting.
IEEE Trans. Neural Networks Learn. Syst., 2022

An Automated Machine Learning Approach for Real-Time Fault Detection and Diagnosis.
Sensors, 2022

Use of machine learning and multilevel analysis in hierarchical approaches of public expenditure forecasting.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

Classification of Legal Documents in Portuguese Language Based on Summarization.
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.
Proceedings of the 2022 IEEE Latin American Conference on Computational Intelligence (LA-CCI), 2022

A Hybrid System with Nonlinear Combination for Wind Speed Forecasting.
Proceedings of the Intelligent Systems - 11th Brazilian Conference, 2022

2021
Energy Consumption Forecasting for Smart Meters Using Extreme Learning Machine Ensemble.
Sensors, 2021

An adaptive hybrid system using deep learning for wind speed forecasting.
Inf. Sci., 2021

Benchmarking Machine Learning Models to Assist in the Prognosis of Tuberculosis.
Informatics, 2021

Neural-Based Ensembles for Particulate Matter Forecasting.
IEEE Access, 2021

A hybrid sequential system for inflation forecasting.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2021

A hybrid system for Lithium-ion battery State-of-Charge univariate forecasting.
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.
Proceedings of the 21st International Conference on Advanced Learning Technologies, 2021

2020
A hybrid optimized error correction system for time series forecasting.
Appl. Soft Comput., 2020

A Hybrid Nonlinear Combination System for Monthly Wind Speed Forecasting.
IEEE Access, 2020

On the evaluation of dynamic selection parameters for time series forecasting.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

Swarm Based Ensembles for Time Series Residual Forecasting.
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.
Knowl. Based Syst., 2019

Hybrid System for Time Series using Iterative Residual Forecasting Models.
Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019

2018
Hyper-Heuristics Using Genetic Programming to Time Series Forecasting.
Proceedings of the IEEE Latin American Conference on Computational Intelligence, 2018

Plant Classification Using Artificial Neural Networks.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Evolutionary ELMs with Alternative Treatments for the Population Out-Bounded Individuals.
Proceedings of the 7th Brazilian Conference on Intelligent Systems, 2018

2017
Programming Language Adoption as an Epidemiological Phenomenon.
Proceedings of the 31st Brazilian Symposium on Software Engineering, 2017

A Hybrid Semi-linear System for Time Series Forecasting.
Proceedings of the 2017 Brazilian Conference on Intelligent Systems, 2017

2016
A hybrid evolutionary decomposition system for time series forecasting.
Neurocomputing, 2016

2014
A distributed PSO-ARIMA-SVR hybrid system for time series forecasting.
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.
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.
Proceedings of the 2014 Brazilian Conference on Intelligent Systems, 2014

2013
A Hybrid Group Search Optimization Based on Fish Swarms.
Proceedings of the Brazilian Conference on Intelligent Systems, 2013

2012
Predicting Gene Functions Using Semi-supervised Clustering Algorithms with Objective Function Optimization.
Proceedings of the 2012 Brazilian Symposium on Neural Networks, 2012

A Modified Artificial Fish Swarm Algorithm for the Optimization of Extreme Learning Machines.
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.
Proceedings of the IEEE 23rd International Conference on Tools with Artificial Intelligence, 2011


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