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José Henrique Kleinübing Larcher
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2020 – today
- 2024
- [j3]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) - [j2]José Henrique Kleinübing Larcher, Stéfano Frizzo Stefenon, Leandro dos Santos Coelho, Viviana Cocco Mariani:
Enhanced multi-step streamflow series forecasting using hybrid signal decomposition and optimized reservoir computing models. Expert Syst. Appl. 255: 124856 (2024) - 2023
- [j1]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
- [c3]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
- [c2]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 - [c1]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
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last updated on 2024-09-10 02:10 CEST by the dblp team
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