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João F. L. Oliveira
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- affiliation: Federal University of Pernambuco, Recife, PE, Brazil
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2020 – today
- 2024
- [c26]Camila Ascendina
, Paulo Salgado Gomes de Mattos Neto
An Evolutionary Approach to Forecasting Models Hybridization. ICMLC 2024: 134-139 - 2023
- [j13]André L. S. Xavier
A Hybrid Swarm-Based System for Commodity Price Forecasting During the Covid-19 Pandemic. IEEE Access 11: 74379-74387 (2023) - [j12]Domingos S. de O. Junior
A hybrid system based on ensemble learning to model residuals for time series forecasting. Inf. Sci. 649: 119614 (2023) - [j11]Marie Chantelle Cruz Medina, João Fausto Lorenzato de Oliveira:
A selective hybrid system for state-of-charge forecasting of lithium-ion batteries. J. Supercomput. 79(14): 15623-15642 (2023) - [c25]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: 1-6 - [c24]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:
Legal Judgement Prediction: A comparative analysis of legal documents in Brazil. LA-CCI 2023: 1-6 - [c23]André L. S. Xavier, Bruno J. T. Fernandes, João F. L. de Oliveira:
Hybrid Model and Ensemble for Inflation Forecasting: A Machine Learning Approach. LA-CCI 2023: 1-6 - 2022
- [j10]Dênis Leite
An Automated Machine Learning Approach for Real-Time Fault Detection and Diagnosis. Sensors 22(16): 6138 (2022) - [j9]João F. L. de Oliveira
A Hybrid System Based on Dynamic Selection for Time Series Forecasting. IEEE Trans. Neural Networks Learn. Syst. 33(8): 3251-3263 (2022) - [c22]Leonardo de Leon Dias
A Hybrid System with Nonlinear Combination for Wind Speed Forecasting. BRACIS (2) 2022: 312-327 - [c21]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:
Early prediction of generalized infection in intensive care units from clinical data: a committee-based machine learning approach. LA-CCI 2022: 1-6 - [c20]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:
Classification of Legal Documents in Portuguese Language Based on Summarization. LA-CCI 2022: 1-6 - [c19]José Ivo Carille Neto, Fernando B. Lima Neto, João F. L. de Oliveira:
Use of machine learning and multilevel analysis in hierarchical approaches of public expenditure forecasting. SMC 2022: 1155-1160 - 2021
- [j8]Paulo S. G. de Mattos Neto
Neural-Based Ensembles for Particulate Matter Forecasting. IEEE Access 9: 14470-14490 (2021) - [j7]Maicon Herverton Lino Ferreira da Silva Barros
Benchmarking Machine Learning Models to Assist in the Prognosis of Tuberculosis. Informatics 8(2): 27 (2021) - [j6]Paulo S. G. de Mattos Neto, João F. L. de Oliveira, Domingos S. de O. Junior, Hugo Valadares Siqueira, Manoel Henrique da Nobrega Marinho
An adaptive hybrid system using deep learning for wind speed forecasting. Inf. Sci. 581: 495-514 (2021) - [j5]Paulo S. G. de Mattos Neto
Energy Consumption Forecasting for Smart Meters Using Extreme Learning Machine Ensemble. Sensors 21(23): 8096 (2021) - [c18]Dênis Leite
Early detection of students at risk of failure from a small dataset. ICALT 2021: 42-46 - [c17]Marie Chantelle Cruz Medina, João Fausto Lorenzato de Oliveira:
A hybrid system for Lithium-ion battery State-of-Charge univariate forecasting. ICTAI 2021: 991-995 - [c16]André L. S. Xavier, Bruno J. T. Fernandes, João F. L. de Oliveira:
A hybrid sequential system for inflation forecasting. LA-CCI 2021: 1-6 - 2020
- [j4]Paulo S. G. de Mattos Neto
A Hybrid Nonlinear Combination System for Monthly Wind Speed Forecasting. IEEE Access 8: 191365-191377 (2020) - [j3]João Fausto Lorenzato de Oliveira
A hybrid optimized error correction system for time series forecasting. Appl. Soft Comput. 87: 105970 (2020) - [c15]Rafael Bérgamo B. de Holanda, João F. L. de Oliveira:
Swarm Based Ensembles for Time Series Residual Forecasting. ICTAI 2020: 595-602 - [c14]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: 1-7
2010 – 2019
- 2019
- [j2]Domingos S. de O. Junior, João F. L. de Oliveira
An intelligent hybridization of ARIMA with machine learning models for time series forecasting. Knowl. Based Syst. 175: 72-86 (2019) - [c13]Eraylson Galdino da Silva, Paulo Salgado Gomes de Mattos Neto
Hybrid System for Time Series using Iterative Residual Forecasting Models. BRACIS 2019: 872-877 - 2018
- [c12]Luciano D. S. Pacífico
Evolutionary ELMs with Alternative Treatments for the Population Out-Bounded Individuals. BRACIS 2018: 151-156 - [c11]Luciano D. S. Pacífico
Plant Classification Using Artificial Neural Networks. IJCNN 2018: 1-6 - [c10]Mariana Macedo, Carlos Henrique Macedo dos Santos
Hyper-Heuristics Using Genetic Programming to Time Series Forecasting. LA-CCI 2018: 1-6 - 2017
- [c9]João Fausto Lorenzato de Oliveira
A Hybrid Semi-linear System for Time Series Forecasting. BRACIS 2017: 79-84 - [c8]Emanoel Francisco Spósito Barreiros, Jones O. Albuquerque, João F. L. de Oliveira, Helaine Lins, Sérgio Soares:
Programming Language Adoption as an Epidemiological Phenomenon. SBES 2017: 255-260 - 2016
- [j1]João Fausto Lorenzato de Oliveira
A hybrid evolutionary decomposition system for time series forecasting. Neurocomputing 180: 27-34 (2016) - 2014
- [c7]João Fausto Lorenzato de Oliveira
A Hybrid Evolutionary System for Parameter Optimization and Lag Selection in Time Series Forecasting. BRACIS 2014: 73-78 - [c6]João F. L. Oliveira, Teresa Bernarda Ludermir:
Iterative ARIMA-multiple support vector regression models for long term time series prediction. ESANN 2014 - [c5]João Fausto Lorenzato de Oliveira
A distributed PSO-ARIMA-SVR hybrid system for time series forecasting. SMC 2014: 3867-3872 - 2013
- [c4]João F. L. Oliveira, Luciano D. S. Pacífico
A Hybrid Group Search Optimization Based on Fish Swarms. BRACIS 2013: 51-56 - 2012
- [c3]João Fausto Lorenzato de Oliveira
A Modified Artificial Fish Swarm Algorithm for the Optimization of Extreme Learning Machines. ICANN (2) 2012: 66-73 - [c2]Valmir Macário Filho, Ivan G. Costa
Predicting Gene Functions Using Semi-supervised Clustering Algorithms with Objective Function Optimization. SBRN 2012: 61-66 - 2011
- [c1]João Fausto Lorenzato de Oliveira
Homogeneous Ensemble Selection through Hierarchical Clustering with a Modified Artificial Fish Swarm Algorithm. ICTAI 2011: 177-180
Coauthor Index
aka: Paulo Salgado Gomes de Mattos Neto
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last updated on 2024-08-05 20:23 CEST by the dblp team
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