M. Ribeiro

发表

Efficient bootstrap stacking ensemble learning model applied to wind power generation forecasting

L. Coelho, V. Mariani, S. Moreno, 2022, International Journal of Electrical Power & Energy Systems.

Multi-step short-term wind speed forecasting based on multi-stage decomposition coupled with stacking-ensemble learning approach

José Henrique Kleinübing Larcher, L. Coelho, V. Mariani, 2022, International Journal of Electrical Power & Energy Systems.

Time series forecasting using ensemble learning methods for emergency prevention in hydroelectric power plants with dam

Leandro dos Santos Coelho, Viviana Cocco Mariani, Ademir Nied, 2022, Electric Power Systems Research.

A Multi-objective Optimisation Design Approach for Ensemble Member Combination in Binary Classification Tasks

Leandro dos Santos Coelho, Gilberto Reynoso Meza, Victor Henrique Alves Ribeiro, 2019 .

Ensemble approach based on bagging, boosting and stacking for short-term prediction in agribusiness time series

Leandro dos Santos Coelho, Matheus Henrique Dal Molin Ribeiro, L. Coelho, 2020, Appl. Soft Comput..

Short-term forecasting COVID-19 cumulative confirmed cases: Perspectives for Brazil

Leandro dos Santos Coelho, Viviana Cocco Mariani, Ramon Gomes da Silva, 2020, Chaos, Solitons & Fractals.

Multi-step ahead meningitis case forecasting based on decomposition and multi-objective optimization methods

Leandro dos Santos Coelho, Viviana Cocco Mariani, Matheus Henrique Dal Molin Ribeiro, 2020, Journal of Biomedical Informatics.

A novel decomposition-ensemble learning framework for multi-step ahead wind energy forecasting

Viviana Cocco Mariani, Ramon Gomes da Silva, Matheus Henrique Dal Molin Ribeiro, 2020 .

Short-term forecasting of Amazon rainforest fires based on ensemble decomposition model pdf

Leandro dos Santos Coelho, Viviana Cocco Mariani, Ramon Gomes da Silva, 2020, ArXiv.

Solar Power Forecasting Based on Ensemble Learning Methods

Leandro dos Santos Coelho, Viviana Cocco Mariani, Naylene Fraccanabbia, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

Electricity Price Forecasting Based on Self-Adaptive Decomposition and Heterogeneous Ensemble Learning

Leandro dos Santos Coelho, Viviana Cocco Mariani, Ademir Nied, 2020, Energies.

Discrete differential evolution metaheuristics for permutation flow shop scheduling problems

Ramon Gomes da Silva, Márcia de Fátima Morais, L. Coelho, 2022, Comput. Ind. Eng..

Extreme gradient boosting model based on improved Jaya optimizer applied to forecasting energy consumption in residential buildings

Leandro dos Santos Coelho, Viviana Cocco Mariani, Mirco Rampazzo, 2021, Evolving Systems.

Dengue Cases Forecasting Based on eXtreme Gradient Boosting Ensemble with Coyote Optimization

Ramon Gomes da Silva, L. Coelho, V. Mariani, 2021, Anais do 15. Congresso Brasileiro de Inteligência Computacional.

Multi-Objective Ensemble Model for Short-Term Price Forecasting in Corn Price Time Series

Leandro dos Santos Coelho, Gilberto Reynoso-Meza, Victor Henrique Alves Ribeiro, 2019, 2019 International Joint Conference on Neural Networks (IJCNN).

Forecasting Brazilian and American COVID-19 cases based on artificial intelligence coupled with climatic exogenous variables

Leandro dos Santos Coelho, Viviana Cocco Mariani, Ramon Gomes da Silva, 2020, Chaos, Solitons & Fractals.

Wavelet group method of data handling for fault prediction in electrical power insulators

Viviana Cocco Mariani, António E. Ruano, Ademir Nied, 2020 .

Hybrid Wavelet Stacking Ensemble Model for Insulators Contamination Forecasting

Viviana Cocco Mariani, Ademir Nied, Laio Oriel Seman, 2021, IEEE Access.

Cooperative ensemble learning model improves electric short-term load forecasting

L. Coelho, V. Mariani, M. Ribeiro, 2023, Chaos, Solitons & Fractals.

Ensemble Learning Models Coupled with Urban Mobility Information Applied to Predict COVID-19 Incidence Cases

José Henrique Kleinübing Larcher, L. Coelho, V. Mariani, 2021, Modeling, Control and Drug Development for COVID-19 Outbreak Prevention.

Multi-step ahead Bitcoin Price Forecasting Based on VMD and Ensemble Learning Methods

Leandro dos Santos Coelho, Viviana Cocco Mariani, Naylene Fraccanabbia, 2020, 2020 International Joint Conference on Neural Networks (IJCNN).

Very Short-term Wind Energy Forecasting Based on Stacking Ensemble

Viviana Cocco Mariani, Naylene Fraccanabbia, Ramon Gomes da Silva, 2020, Anais do 14. Congresso Brasileiro de Inteligência Computacional.

Forecasting Epidemiological Time Series Based on Decomposition and Optimization Approaches

Viviana Cocco Mariani, Naylene Fraccanabbia, Ramon Gomes da Silva, 2020, Anais do 14. Congresso Brasileiro de Inteligência Computacional.

Decoding Electroencephalography Signal Response by Stacking Ensemble Learning and Adaptive Differential Evolution

Ramon Gomes da Silva, José Henrique Kleinübing Larcher, V. Mariani, 2023, Sensors.

Wind power forecasting based on bagging extreme learning machine ensemble model

Ramon Gomes da Silva, José Henrique Kleinübing Larcher, L. Coelho, 2022, ESANN.

Nonlinear System Identification Based on Ensemble Learning: The Cascaded Tanks System Case

Viviana Cocco Mariani, Matheus Henrique Dal Molin Ribeiro, Leandro dos Santos Coelho, 2019, Anais do 14º Simpósio Brasileiro de Automação Inteligente.

Chaos, Solitons and Fractals

Ramon Gomes da Silva, V. Mariani, M. Ribeiro, 2022 .