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 (BRACIS, 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)

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 (HAIS, 2020)

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 (IJCNN, 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)

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)

On-the-fly Data Augmentation for Forecasting with Deep Learning. - Vítor Cerqueira; Moisés Rocha dos Santos; Yassine Baghoussi; Carlos Soares (CoRR, 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)