Ramon Gomes da Silva

14 papers B 7Journal 7

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Wildfire spots analysis and forecasting: Evaluation of univariate and multivariate based on variational mode decomposition models. Appl. Soft Comput. Vinicius Lovatel Rocha, Ramon Gomes da Silva, Gilson Adamczuk Oliveira, Matheus Henrique Dal Molin Ribeiro
2025	B	`conf`	Hybrid Machine Learning Models Applied to Daily Urban Water Consumption Prediction. IJCNN Ramon Gomes da Silva, Luis Fernando Rodrigues Agottani, Anderson Schamne, Andre Biscaia da Silva, Gustavo Rafael Collere Possetti, Leandro dos Santos Coelho, Viviana Cocco Mariani
2024	J	`jnl`	Variational mode decomposition and bagging extreme learning machine with multi-objective optimization for wind power forecasting. Appl. Intell. 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
2023	J	`jnl`	Decoding Electroencephalography Signal Response by Stacking Ensemble Learning and Adaptive Differential Evolution. Sensors Matheus Henrique Dal Molin Ribeiro, Ramon Gomes da Silva, José Henrique Kleinübing Larcher, Andre Mendes, Viviana Cocco Mariani, Leandro dos Santos Coelho
2022	J	`jnl`	Discrete differential evolution metaheuristics for permutation flow shop scheduling problems. Comput. Ind. Eng. Márcia de Fátima Morais, Matheus Henrique Dal Molin Ribeiro, Ramon Gomes da Silva, Viviana Cocco Mariani, Leandro dos Santos Coelho
2022	B	`conf`	Wind power forecasting based on bagging extreme learning machine ensemble model. ESANN 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
2021	B	`conf`	Forecasting COVID-19 pandemic using an echo state neural network-based framework. IJCNN José Henrique Kleinübing Larcher, Ramon Gomes da Silva, Matheus Henrique Dal Molin Ribeiro, Leandro dos Santos Coelho, Viviana Cocco Mariani
2021	B	`conf`	Seasonal-trend and multiobjective ensemble learning model for water consumption forecasting. IJCNN Matheus Henrique Dal Molin Ribeiro, Ramon Gomes da Silva, José Henrique Kleinübing Larcher, José Donizetti de Lima, Viviana Cocco Mariani, Leandro dos Santos Coelho
2020	B	`conf`	Electricity energy price forecasting based on hybrid multi-stage heterogeneous ensemble: Brazilian commercial and residential cases. IJCNN Matheus Henrique Dal Molin Ribeiro, Ramon Gomes da Silva, Cristiane Canton, Naylene Fraccanabbia, Viviana Cocco Mariani, Leandro dos Santos Coelho
2020	J	`jnl`	Forecasting Brazilian and American COVID-19 cases based on artificial intelligence coupled with climatic exogenous variables. CoRR Ramon Gomes da Silva, Matheus Henrique Dal Molin Ribeiro, Viviana Cocco Mariani, Leandro dos Santos Coelho
2020	B	`conf`	Multi-step ahead Bitcoin Price Forecasting Based on VMD and Ensemble Learning Methods. IJCNN Ramon Gomes da Silva, Matheus Henrique Dal Molin Ribeiro, Naylene Fraccanabbia, Viviana Cocco Mariani, Leandro dos Santos Coelho
2020	J	`jnl`	Short-term forecasting COVID-19 cumulative confirmed cases: Perspectives for Brazil. CoRR Matheus Henrique Dal Molin Ribeiro, Ramon Gomes da Silva, Viviana Cocco Mariani, Leandro dos Santos Coelho
2020	J	`jnl`	Short-term forecasting of Amazon rainforest fires based on ensemble decomposition model. CoRR Ramon Gomes da Silva, Matheus Henrique Dal Molin Ribeiro, Viviana Cocco Mariani, Leandro dos Santos Coelho
2020	B	`conf`	Solar Power Forecasting Based on Ensemble Learning Methods. IJCNN Naylene Fraccanabbia, Ramon Gomes da Silva, Matheus Henrique Dal Molin Ribeiro, Sinvaldo Rodrigues Moreno, Leandro dos Santos Coelho, Viviana Cocco Mariani