Ramon Gomes da Silva

Publication Activity (10 Years)

Years Active: 2020-2024
Publications (10 Years): 12

Top Topics

Ensemble Learning

Makespan Minimization

Top Venues

Publications

Matheus Henrique Dal Molin Ribeiro, Ramon Gomes da Silva, Sinvaldo Rodrigues Moreno, Cristiane Canton, José Henrique Kleinübing Larcher, Stéfano Frizzo Stefenon, Viviana Cocco Mariani, Leandro dos Santos Coelho
Variational mode decomposition and bagging extreme learning machine with multi-objective optimization for wind power forecasting. Appl. Intell. 54 (4) (2024)
Matheus Henrique Dal Molin Ribeiro, Ramon Gomes da Silva, José Henrique Kleinübing Larcher, Andre Mendes, Viviana Cocco Mariani, Leandro dos Santos Coelho
Decoding Electroencephalography Signal Response by Stacking Ensemble Learning and Adaptive Differential Evolution. Sensors 23 (16) (2023)
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
Wind power forecasting based on bagging extreme learning machine ensemble model. ESANN (2022)
Márcia de Fátima Morais, Matheus Henrique Dal Molin Ribeiro, Ramon Gomes da Silva, Viviana Cocco Mariani, Leandro dos Santos Coelho
Discrete differential evolution metaheuristics for permutation flow shop scheduling problems. Comput. Ind. Eng. 166 (2022)
José Henrique Kleinübing Larcher, Ramon Gomes da Silva, Matheus Henrique Dal Molin Ribeiro, Leandro dos Santos Coelho, Viviana Cocco Mariani
Forecasting COVID-19 pandemic using an echo state neural network-based framework. IJCNN (2021)
Matheus Henrique Dal Molin Ribeiro, Ramon Gomes da Silva, José Henrique Kleinübing Larcher, José Donizetti de Lima, Viviana Cocco Mariani, Leandro dos Santos Coelho
Seasonal-trend and multiobjective ensemble learning model for water consumption forecasting. IJCNN (2021)
Ramon Gomes da Silva, Matheus Henrique Dal Molin Ribeiro, Viviana Cocco Mariani, Leandro dos Santos Coelho
Short-term forecasting of Amazon rainforest fires based on ensemble decomposition model. CoRR (2020)
Matheus Henrique Dal Molin Ribeiro, Ramon Gomes da Silva, Viviana Cocco Mariani, Leandro dos Santos Coelho
Short-term forecasting COVID-19 cumulative confirmed cases: Perspectives for Brazil. CoRR (2020)
Ramon Gomes da Silva, Matheus Henrique Dal Molin Ribeiro, Naylene Fraccanabbia, Viviana Cocco Mariani, Leandro dos Santos Coelho
Multi-step ahead Bitcoin Price Forecasting Based on VMD and Ensemble Learning Methods. IJCNN (2020)
Matheus Henrique Dal Molin Ribeiro, Ramon Gomes da Silva, Cristiane Canton, Naylene Fraccanabbia, Viviana Cocco Mariani, Leandro dos Santos Coelho
Electricity energy price forecasting based on hybrid multi-stage heterogeneous ensemble: Brazilian commercial and residential cases. IJCNN (2020)
Naylene Fraccanabbia, Ramon Gomes da Silva, Matheus Henrique Dal Molin Ribeiro, Sinvaldo Rodrigues Moreno, Leandro dos Santos Coelho, Viviana Cocco Mariani
Solar Power Forecasting Based on Ensemble Learning Methods. IJCNN (2020)
Ramon Gomes da Silva, Matheus Henrique Dal Molin Ribeiro, Viviana Cocco Mariani, Leandro dos Santos Coelho
Forecasting Brazilian and American COVID-19 cases based on artificial intelligence coupled with climatic exogenous variables. CoRR (2020)