Ramon Gomes da Silva

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).

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.

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.

A BIBLIOMETRIC REVIEW OF PROCESS MINING IN MANUFACTURING PROCESSES

Ramon Gomes da Silva, 2019 .

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).

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).

Análise da variabilidade genética por RAPD de linhagens isoladas de solo e lodo impactados com efluente industrial Analysis of genetic variability by RAPD of strains isolated from soil and sludge impacted with industrial effluent

Ramon Gomes da Silva, J. T. Silva, F. R. Pinhati, 2015 .

A BIBLIOMETRIC REVIEW OF PROCESS MINING IN MANUFACTURING PROCESSES

Ramon Gomes da Silva, 2019, Revista Latino-Americana de Inovação e Engenharia de Produção.

Análise da variabilidade genética por RAPD de linhagens isoladas de solo e lodo impactados com efluente industrial

Ramon Gomes da Silva, J. T. Silva, F. R. Pinhati, 2015 .

Discrete differential evolution metaheuristics for permutation flow shop scheduling problems

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

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.

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.

Chaos, Solitons and Fractals

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