Moisés Rocha dos Santos

According to our database, Moisés Rocha dos Santos authored at least 11 papers between 2019 and 2026.

Collaborative distances:

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

2026

Short-term energy market forecasting ensemble with multi-data source integration.

Saulo Martiello Mastelini, Marcos Basile Saviano de Paula, Moisés Rocha dos Santos, Sérgio Baldo Júnior, Lucas Ladeira, Luciano Contin Gomes Leite, Ronan Gustavo Carvalho Furtado, Thiago Felicio de Souza, Ewerton Guarnier, Donato da Silva-Filho

Int. J. Data Sci. Anal., June, 2026

2025

Benchmarking Time Series Feature Extraction for Algorithm Selection.

Moisés Rocha dos Santos, Vítor Cerqueira, Carlos Soares

Proceedings of the Progress in Artificial Intelligence, 2025

2024

Multi-source data ensemble for energy price trend forecasting.

Douglas Donizeti de Castilho Braz, Moisés Rocha dos Santos, Marcos Basile Saviano de Paula, Donato da Silva-Filho, Ewerton Guarnier, Lucas Penido Alípio, Renato Tinós, André C. P. L. F. de Carvalho

Eng. Appl. Artif. Intell., 2024

On-the-fly Data Augmentation for Forecasting with Deep Learning.

Vítor Cerqueira, Moisés Rocha dos Santos, Yassine Baghoussi, Carlos Soares

CoRR, 2024

Brazilian Free-Energy Market Mid-and Long-Term Forecasting Using Multi-Source Ensemble Solution.

Sérgio Baldo Júnior, Saulo Martiello Mastelini, Marcos B. S. Paula, Moisés Rocha dos Santos, Ewerton Guarnier, Donato da Silva-Filho, Maria E. C. M. Santos, Thaina R. Fernandes, Victor C. V. Rosa

Proceedings of the International Conference on Machine Learning and Applications, 2024

2023

tsMorph: generation of semi-synthetic time series to understand algorithm performance.

Moisés Rocha dos Santos, André C. P. L. F. de Carvalho, Carlos Soares

CoRR, 2023

2021

Evaluating Meta-Feature Selection for the Algorithm Recommendation Problem.

Geand Trindade Pereira, Moisés Rocha dos Santos, André Carlos Ponce de Leon Ferreira de Carvalho

CoRR, 2021

Seasonal-Trend decomposition based on Loess + Machine Learning: Hybrid Forecasting for Monthly Univariate Time Series.

Gabriel Dalforno Silvestre, Moisés Rocha dos Santos, André C. P. L. F. de Carvalho

Proceedings of the International Joint Conference on Neural Networks, 2021

2020

Evaluation of Error Metrics for Meta-learning Label Definition in the Forecasting Task.

Moisés Rocha dos Santos, Leandro Resende Mundim, André C. P. L. F. de Carvalho

Proceedings of the Hybrid Artificial Intelligent Systems - 15th International Conference, 2020

2019

Transfer Learning for Algorithm Recommendation.

Gean Trindade Pereira, Moisés Rocha dos Santos, Edesio Alcobaça, Rafael Gomes Mantovani, André C. P. L. F. de Carvalho

CoRR, 2019

Explainable Machine Learning for Breast Cancer Diagnosis.

Tamires Brito-Sarracino, Moisés Rocha dos Santos, Eric Freire Antunes, Iury Batista de Andrade Santos, Jonas Coelho Kasmanas, André Carlos Ponce de Leon Ferreira de Carvalho

Proceedings of the 8th Brazilian Conference on Intelligent Systems, 2019