Publications

Matheus Henrique Dal Molin Ribeiro, Ramon Gomes da Silva, Sinvaldo Rodrigues Moreno, Cristiane Canton, José Henrique Kleinübing Larcher, Stefano Frizzo Stefenon, Viviana Cocco Mariani, Leandro dos Santos Coelho (2024). Variational mode decomposition and bagging extreme learning machine with multi-objective optimization for wind power forecasting. Applied Intelligence.

Matheus Henrique Dal Molin Ribeiro, Ramon Gomes da Silva, José Henrique Kleinübing Larcher, Andre Mendes, Viviana Cocco Mariani, Leandro dos Santos Coelho (2023). Decoding Electroencephalography Signal Response by Stacking Ensemble Learning and Adaptive Differential Evolution. Sensors.

Fernanda D'amico Silva, Milena Andreuzo Cardoso, Viviane R Sommer, Evair Borges Severo, Ramon Gomes da Silva, Valeria Tafoya-Martinez, Carolina Queiroz Cardoso, Ivan Lucas Reis Silva, Marcus V. M. Figueredo, Sergio R. R. Junior, Victor Henrique Alves Ribeiro, Gilberto Reynoso-Meza (2023). Classification of Leukocytes: Comparison of different feature extraction and machine learning approaches. Proceedings of the 11th International Conference on Production Research – Americas.

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Ramon Gomes da Silva, Valeria Tafoya-Martinez, Fernanda D'amico Silva, Milena Andreuzo Cardoso, Evair Borges Severo, Carolina Queiroz Cardoso, Matheus Henrique Dal Molin Ribeiro, Viviana Cocco Mariani, Leandro Santos Coelho (2023). Beta-hCG test demand forecasting using stacking ensemble-learning and machine learning approaches. Proceedings of the 11th International Conference on Production Research – Americas.

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Matheus Henrique Dal Molin Ribeiro, Ramon Gomes da Silva, Gabriel Trierweiler Ribeiro, Viviana Cocco Mariani, Leandro dos Santos Coelho (2023). Cooperative ensemble learning model improves electric short-term load forecasting. Chaos, Solitons & Fractals.

Ramon Gomes da Silva, Sinvaldo Rodrigues Moreno, Matheus Henrique Dal Molin Ribeiro, José Henrique Kleinübing Larcher, Viviana Cocco Mariani, Leandro Santos Coelho (2022). Multi-step short-term wind speed forecasting based on multi-stage decomposition coupled with stacking-ensemble learning approach. International Journal of Electrical Power & Energy Systems.

Matheus Henrique Dal Molin Ribeiro, Sinvaldo Rodrigues Moreno, Ramon Gomes da Silva, José Henrique Kleinübing Larcher, Cristiane Canton, Viviana Cocco Mariani, Leandro dos Santos Coelho (2022). Wind power forecasting based on bagging extreme learning machine ensemble model. ESANN 2022 proceedings.

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Matheus Henrique Dal Molin Ribeiro, Ramon Gomes da Silva, Sinvaldo Rodrigues Moreno, Viviana Cocco Mariani, Leandro dos Santos Coelho (2022). Efficient bootstrap stacking ensemble learning model applied to wind power generation forecasting. International Journal of Electrical Power & Energy Systems.

Márcia de Fátima Morais, Matheus Henrique Dal Molin Ribeiro, Ramon Gomes da Silva, Viviana Cocco Mariani, Leandro dos Santos Coelho (2022). Discrete differential evolution metaheuristics for permutation flow shop scheduling problems. Computers & Industrial Engineering.

Matheus Henrique Dal Molin Ribeiro, Ramon Gomes da Silva, José Henrique Kleinübing Larcher, Viviana Cocco Mariani, Leandro Santos Coelho (2021). Ensemble learning models coupled with urban mobility information applied to predict COVID-19 incidence cases. Modeling, Control and Drug Development for COVID-19 Outbreak Prevention.

Matheus Henrique Dal Molin Ribeiro, Ramon Gomes da Silva, Viviana Cocco Mariani, Leandro Santos Coelho (2021). Dengue cases forecasting based on extreme gradient boosting ensemble with coyote optimization. Anais do 15 Congresso Brasileiro de Inteligência Computacional.

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Ramon Gomes da Silva, Matheus Henrique Dal Molin Ribeiro, José Henrique Kleinübing Larcher, Viviana Cocco Mariani, Leandro Santos Coelho (2021). Artificial intelligence and signal decomposition approach applied to retail sales forecasting. Anais do 15 Congresso Brasileiro de Inteligência Computacional.

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Matheus Henrique Dal Molin Ribeiro, Ramon Gomes da Silva, José Henrique Kleinübing Larcher, Viviana Cocco Mariani, Leandro Santos Coelho (2021). Seasonal-trend and multiobjective ensemble learning model for water consumption forecasting. International Joint Conference on Neural Networks (IJCNN).

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José Henrique Kleinübing Larcher, Ramon Gomes da Silva, Matheus Henrique Dal Molin Ribeiro, Leandro Santos Coelho, Viviana Cocco Mariani (2021). Forecasting COVID-19 pandemic using an echo state neural network-based framework. International Joint Conference on Neural Networks (IJCNN).

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Ramon Gomes da Silva, Matheus Henrique Dal Molin Ribeiro, Sinvaldo Rodrigues Moreno, Viviana Cocco Mariani, Leandro Santos Coelho (2021). A novel decomposition-ensemble learning framework for multi-step ahead wind energy forecasting. Energy.

Ramon Gomes da Silva, Sinvaldo Rodrigues Moreno, Matheus Henrique Dal Molin Ribeiro, Viviana Mariani, Leandro Coelho (2021). Multi-step wind speed forecasting based on multi-stage decomposition approach. Proceedings of the 26th International Congress of Mechanical Engineering.

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Matheus Henrique Dal Molin Ribeiro, Ramon Gomes da Silva, Sinvaldo Rodrigues Moreno, Viviana Mariani, Leandro Coelho (2021). An improved ensemble learning model for multi-step ahead wind power generation forecasting. Proceedings of the 26th International Congress of Mechanical Engineering.

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Matheus Henrique Dal Molin Ribeiro, Ramon Gomes da Silva, José Henrique Kleinübing Larcher, Viviana Cocco Mariani, Leandro Santos Coelho (2020). Inteligência artificial como suporte a tomada de decisão para previsão de novos casos do coronavírus (COVID-19). INSID Magazine.

Ramon Gomes da Silva, Matheus Henrique Dal Molin Ribeiro, José Henrique Kleinübing Larcher, Viviana Cocco Mariani, Leandro Santos Coelho (2020). Forecasting the cumulative cases of COVID-19 in four large Brazilian cities using machine learning approaches. INnovation for Systems Information and Decision meeting (INSID).

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Ramon Gomes da Silva, Matheus Henrique Dal Molin Ribeiro, Sinvaldo Rodrigues Moreno, Viviana Cocco Mariani, Leandro Santos Coelho (2020). Wind Energy Multi-Step Ahead Forecasting Based on Variational Mode Decomposition. Proceedings of the 18th Brazilian Congress of Thermal Sciences and Engineering.

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Matheus Henrique Dal Molin Ribeiro, Ramon Gomes da Silva, Viviana Cocco Mariani, Leandro Santos Coelho (2020). Prediction of Residential Buildings Efficiency based on Differential Evolution Optimization and Random Forest Model. Proceedings of the 18th Brazilian Congress of Thermal Sciences and Engineering.

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Ramon Gomes da Silva, Matheus Henrique Dal Molin Ribeiro, Viviana Cocco Mariani, Leandro dos Santos Coelho (2020). Forecasting Brazilian and American COVID-19 cases based on artificial intelligence coupled with climatic exogenous variables. Chaos, Solitons & Fractals.

Naylene Fraccanabbia, Ramon Gomes da Silva, Matheus Henrique Dal Molin Ribeiro, Sinvaldo Rodrigues Moreno, Leandro Santos Coelho, Viviana Cocco Mariani (2020). Solar Power Forecasting Based on Ensemble Learning Methods. International Joint Conference on Neural Networks (IJCNN).

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Ramon Gomes da Silva, Matheus Henrique Dal Molin Ribeiro, Naylene Fraccanabbia, Viviana Cocco Mariani, Leandro Santos Coelho (2020). Multi-step ahead Bitcoin Price Forecasting Based on VMD and Ensemble Learning Methods. International Joint Conference on Neural Networks (IJCNN).

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Matheus Henrique Dal Molin Ribeiro, Ramon Gomes da Silva, Cristiane Canton, Naylene Fraccanabbia, Viviana Cocco Mariani, Leandro Santos Coelho (2020). Electricity energy price forecasting based on hybrid multi-stage heterogeneous ensemble: Brazilian commercial and residential cases. International Joint Conference on Neural Networks (IJCNN).

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Matheus Henrique Dal Molin Ribeiro, Ramon Gomes da Silva, Viviana Cocco Mariani, Leandro dos Santos Coelho (2020). Short-term forecasting COVID-19 cumulative confirmed cases: Perspectives for Brazil. Chaos, Solitons & Fractals.

Sinvaldo Rodrigues Moreno, Ramon Gomes da Silva, Viviana Cocco Mariani, Leandro dos Santos Coelho (2020). Multi-step wind speed forecasting based on hybrid multi-stage decomposition model and long short-term memory neural network. Energy Conversion and Management.

Sinvaldo Rodrigues Moreno, Ramon Gomes da Silva, Matheus Henrique Dal Molin Ribeiro, Naylene Fraccanabbia, Viviana Cocco Mariani, Leandro dos Santos Coelho (2019). Very short-term wind energy forecasting based on stacking ensemble. 14th Brazilian Computational Intelligence Meeting.

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Matheus Henrique Dal Molin Ribeiro, Ramon Gomes da Silva, Naylene Fraccanabbia, Viviana Cocco Mariani, Leandro dos Santos Coelho (2019). Forecasting epidemiological time series based on decomposition and optimization approaches. 14th Brazilian Computational Intelligence Meeting.

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