Moisés Rocha dos Santos

11 papers B 1C 1Misc 1Journal 6Unranked 2

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	Short-term energy market forecasting ensemble with multi-data source integration. Int. J. Data Sci. Anal. 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
2025	—	`conf`	Benchmarking Time Series Feature Extraction for Algorithm Selection. EPIA (1) Moisés Rocha dos Santos, Vítor Cerqueira, Carlos Soares
2024	C	`conf`	Brazilian Free-Energy Market Mid-and Long-Term Forecasting Using Multi-Source Ensemble Solution. ICMLA 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
2024	J	`jnl`	Multi-source data ensemble for energy price trend forecasting. Eng. Appl. Artif. Intell. 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
2024	J	`jnl`	On-the-fly Data Augmentation for Forecasting with Deep Learning. CoRR Vítor Cerqueira, Moisés Rocha dos Santos, Yassine Baghoussi, Carlos Soares
2023	J	`jnl`	tsMorph: generation of semi-synthetic time series to understand algorithm performance. CoRR Moisés Rocha dos Santos, André C. P. L. F. de Carvalho, Carlos Soares
2021	J	`jnl`	Evaluating Meta-Feature Selection for the Algorithm Recommendation Problem. CoRR Geand Trindade Pereira, Moisés Rocha dos Santos, André Carlos Ponce de Leon Ferreira de Carvalho
2021	B	`conf`	Seasonal-Trend decomposition based on Loess + Machine Learning: Hybrid Forecasting for Monthly Univariate Time Series. IJCNN Gabriel Dalforno Silvestre, Moisés Rocha dos Santos, André C. P. L. F. de Carvalho
2020	Misc	`conf`	Evaluation of Error Metrics for Meta-learning Label Definition in the Forecasting Task. HAIS Moisés Rocha dos Santos, Leandro Resende Mundim, André C. P. L. F. de Carvalho
2019	—	`conf`	Explainable Machine Learning for Breast Cancer Diagnosis. BRACIS 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
2019	J	`jnl`	Transfer Learning for Algorithm Recommendation. CoRR Gean Trindade Pereira, Moisés Rocha dos Santos, Edesio Alcobaça, Rafael Gomes Mantovani, André C. P. L. F. de Carvalho