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Matheus Henrique Dal Molin Ribeiro
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2020 – today
- 2024
- [j8]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): 3119-3134 (2024) - [i4]Eduardo Luiz Alba, Matheus Henrique Dal Molin Ribeiro, Gilson Adamczuk Oliveira, Flavio Trojan, Érick Oliveira Rodrigues:
Water and Electricity Consumption Forecasting at an Educational Institution using Machine Learning models with Metaheuristic Optimization. CoRR abs/2410.19709 (2024) - 2023
- [j7]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): 7049 (2023) - 2022
- [j6]Lucas Caldeira de Oliveira, Jefferson Tales Oliva, Matheus Henrique Dal Molin Ribeiro, Marcelo Teixeira, Dalcimar Casanova:
Forecasting the COVID-19 Space-Time Dynamics in Brazil With Convolutional Graph Neural Networks and Transport Modals. IEEE Access 10: 85064-85079 (2022) - [j5]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: 107956 (2022) - [j4]João Guilherme Sauer, Viviana Cocco Mariani, Leandro dos Santos Coelho, Matheus Henrique Dal Molin Ribeiro, Mirco Rampazzo:
Extreme gradient boosting model based on improved Jaya optimizer applied to forecasting energy consumption in residential buildings. Evol. Syst. 13(4): 577-588 (2022) - [c7]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 - 2021
- [j3]Stéfano Frizzo Stefenon, Matheus Henrique Dal Molin Ribeiro, Ademir Nied, Viviana Cocco Mariani, Leandro dos Santos Coelho, Valderi Reis Quietinho Leithardt, Luis Augusto Silva, Laio Oriel Seman:
Hybrid Wavelet Stacking Ensemble Model for Insulators Contamination Forecasting. IEEE Access 9: 66387-66397 (2021) - [c6]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: 1-8 - [c5]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: 1-8 - 2020
- [j2]Matheus Henrique Dal Molin Ribeiro, Leandro dos Santos Coelho:
Ensemble approach based on bagging, boosting and stacking for short-term prediction in agribusiness time series. Appl. Soft Comput. 86 (2020) - [j1]Matheus Henrique Dal Molin Ribeiro, Viviana Cocco Mariani, Leandro dos Santos Coelho:
Multi-step ahead meningitis case forecasting based on decomposition and multi-objective optimization methods. J. Biomed. Informatics 111: 103575 (2020) - [c4]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: 1-7 - [c3]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: 1-8 - [c2]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: 1-8 - [i3]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 abs/2007.07979 (2020) - [i2]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 abs/2007.10981 (2020) - [i1]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 abs/2007.12261 (2020)
2010 – 2019
- 2019
- [c1]Matheus Henrique Dal Molin Ribeiro, Victor Henrique Alves Ribeiro, Gilberto Reynoso-Meza, Leandro dos Santos Coelho:
Multi-Objective Ensemble Model for Short-Term Price Forecasting in Corn Price Time Series. IJCNN 2019: 1-8
Coauthor Index
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