José Henrique Kleinübing Larcher

According to our database, José Henrique Kleinübing Larcher authored at least 6 papers between 2021 and 2024.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2024

Enhanced multi-step streamflow series forecasting using hybrid signal decomposition and optimized reservoir computing models.

José Henrique Kleinübing Larcher, Stéfano Frizzo Stefenon, Leandro dos Santos Coelho, Viviana Cocco Mariani

Expert Syst. Appl., 2024

Variational mode decomposition and bagging extreme learning machine with multi-objective optimization for wind power forecasting.

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

Appl. Intell., 2024

2023

Decoding Electroencephalography Signal Response by Stacking Ensemble Learning and Adaptive Differential Evolution.

Matheus Henrique Dal Molin Ribeiro, Ramon Gomes da Silva, José Henrique Kleinübing Larcher, Andre Mendes, Viviana Cocco Mariani, Leandro dos Santos Coelho

Sensors, August, 2023

2022

Wind power forecasting based on bagging extreme learning machine ensemble model.

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

Proceedings of the 30th European Symposium on Artificial Neural Networks, 2022

2021

Seasonal-trend and multiobjective ensemble learning model for water consumption forecasting.

Matheus Henrique Dal Molin Ribeiro, Ramon Gomes da Silva, José Henrique Kleinübing Larcher, José Donizetti de Lima, Viviana Cocco Mariani, Leandro dos Santos Coelho

Proceedings of the International Joint Conference on Neural Networks, 2021

Forecasting COVID-19 pandemic using an echo state neural network-based framework.

José Henrique Kleinübing Larcher, Ramon Gomes da Silva, Matheus Henrique Dal Molin Ribeiro, Leandro dos Santos Coelho, Viviana Cocco Mariani

Proceedings of the International Joint Conference on Neural Networks, 2021