Matheus Henrique Dal Molin Ribeiro

23 papers B 7Journal 16

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Hybrid Kalman Filter-Kolmogorov-Arnold Network Using Local Interpretable Model-Agnostic Explanations for Photovoltaic Power Forecasting. SN Comput. Sci. João Pedro Matos-Carvalho, Stéfano Frizzo Stefenon, Matheus Henrique Dal Molin Ribeiro, Kin Choong Yow
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	J	`jnl`	A Systematic Evaluation of Current Architectures in Wind Power Forecasting. IEEE Access Vinícius Bortolini, Gilson Adamczuk Oliveira, Érick Oliveira Rodrigues, Matheus Henrique Dal Molin Ribeiro
2025	J	`jnl`	Enhanced Random Vector Functional Link Networks With Bayesian-Based Hyperparameter Optimization for Wind Speed Forecasting. IEEE Access Laio Oriel Seman, Anne Carolina Rodrigues Klaar, Matheus Henrique Dal Molin Ribeiro, Stéfano Frizzo Stefenon
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
2024	J	`jnl`	Water and Electricity Consumption Forecasting at an Educational Institution using Machine Learning models with Metaheuristic Optimization. CoRR Eduardo Luiz Alba, Matheus Henrique Dal Molin Ribeiro, Gilson Adamczuk Oliveira, Flavio Trojan, Érick Oliveira Rodrigues
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	J	`jnl`	Extreme gradient boosting model based on improved Jaya optimizer applied to forecasting energy consumption in residential buildings. Evol. Syst. João Guilherme Sauer, Viviana Cocco Mariani, Leandro dos Santos Coelho, Matheus Henrique Dal Molin Ribeiro, Mirco Rampazzo
2022	J	`jnl`	Forecasting the COVID-19 Space-Time Dynamics in Brazil With Convolutional Graph Neural Networks and Transport Modals. IEEE Access Lucas Caldeira de Oliveira, Jefferson Tales Oliva, Matheus Henrique Dal Molin Ribeiro, Marcelo Teixeira, Dalcimar Casanova
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	J	`jnl`	Hybrid Wavelet Stacking Ensemble Model for Insulators Contamination Forecasting. IEEE Access 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
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`	Ensemble approach based on bagging, boosting and stacking for short-term prediction in agribusiness time series. Appl. Soft Comput. Matheus Henrique Dal Molin Ribeiro, 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`	Multi-step ahead meningitis case forecasting based on decomposition and multi-objective optimization methods. J. Biomed. Informatics Matheus Henrique Dal Molin Ribeiro, 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
2019	B	`conf`	Multi-Objective Ensemble Model for Short-Term Price Forecasting in Corn Price Time Series. IJCNN Matheus Henrique Dal Molin Ribeiro, Victor Henrique Alves Ribeiro, Gilberto Reynoso-Meza, Leandro dos Santos Coelho