Ramon Gomes da Silva
Ramon Gomes da Silva
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Leandro Santos Coelho
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Beta-hCG test demand forecasting using stacking ensemble-learning and machine learning approaches
Multi-step short-term wind speed forecasting based on multi-stage decomposition coupled with stacking-ensemble learning approach
Ensemble learning models coupled with urban mobility information applied to predict COVID-19 incidence cases
Artificial intelligence and signal decomposition approach applied to retail sales forecasting
Dengue cases forecasting based on extreme gradient boosting ensemble with coyote optimization
Forecasting COVID-19 pandemic using an echo state neural network-based framework
Seasonal-trend and multiobjective ensemble learning model for water consumption forecasting
A novel decomposition-ensemble learning framework for multi-step ahead wind energy forecasting
Forecasting the cumulative cases of COVID-19 in four large Brazilian cities using machine learning approaches
Inteligência artificial como suporte a tomada de decisão para previsão de novos casos do coronavírus (COVID-19)
Prediction of Residential Buildings Efficiency based on Differential Evolution Optimization and Random Forest Model
Wind Energy Multi-Step Ahead Forecasting Based on Variational Mode Decomposition
Electricity energy price forecasting based on hybrid multi-stage heterogeneous ensemble: Brazilian commercial and residential cases
Multi-step ahead Bitcoin Price Forecasting Based on VMD and Ensemble Learning Methods
Solar Power Forecasting Based on Ensemble Learning Methods
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