articleTop 1% cited
Ensemble approach based on bagging, boosting and stacking for short-term prediction in agribusiness time series
Applied Soft Computing · 2019 · Vol. 86 · pp. 105837–105837
Matheus Henrique Dal Molin Ribeiro✉(Universidade Tecnológica Federal do Paraná)Leandro dos Santos Coelho(Pontifícia Universidade Católica do Paraná)
Spectroscopy and Chemometric AnalysesStock Market Forecasting MethodsForecasting Techniques and ApplicationsMean squared errorMean absolute percentage errorRandom forestBoosting (machine learning)StatisticsGradient boostingMathematicsEnsemble learningArtificial neural networkWilcoxon signed-rank test
Funding
- Conselho Nacional de Desenvolvimento Científico e Tecnológico
Citations
512
FWCI
29.83
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References
112
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Applied Soft Computing · 2017 · 367 citations
Gradient boosting machine for modeling the energy consumption of commercial buildings
Energy and Buildings · 2017 · 471 citations
Comparison of Support Vector Machine and Extreme Gradient Boosting for predicting daily global solar radiation using temperature and precipitation in humid subtropical climates: A case study in China
Energy Conversion and Management · 2018 · 624 citations
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