Matheus Henrique Dal Molin Ribeiro

发表

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 energy price forecasting based on hybrid multi-stage heterogeneous ensemble: Brazilian commercial and residential cases

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

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.

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.

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..

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.

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.

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.

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).

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 .

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

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

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

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

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 .

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.

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).

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.

Seasonal-trend and multiobjective ensemble learning model for water consumption forecasting

Leandro dos Santos Coelho, Viviana Cocco Mariani, Ramon Gomes da Silva, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

Forecasting COVID-19 pandemic using an echo state neural network-based framework

Viviana Cocco Mariani, Ramon Gomes da Silva, Matheus Henrique Dal Molin Ribeiro, 2021, 2021 International Joint Conference on Neural Networks (IJCNN).

Hybrid Wavelet Stacking Ensemble Model for Insulators Contamination Forecasting

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

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.