Neural Networks, Fuzzy System, and Linear Models in Forecasting Exchange Rates: Comparison and Case Studies. - André Alves Portela Santos; Leandro dos Santos Coelho (IJCNN, 2006)

Computational intelligence approaches and linear models in case studies of forecasting exchange rates. - André Alves Portela Santos Jr.; Newton Carneiro Affonso da Costa; Leandro dos Santos Coelho (Expert Syst. Appl., 2007)

Forecasting electricity prices using a RBF neural network With GARCH errors. - André Alves Portela Santos; Leandro dos Santos Coelho; Carlos Eduardo Klein (IJCNN, 2010)

Dynamic factor multivariate GARCH model. - André Alves Portela Santos; Guilherme V. Moura (Comput. Stat. Data Anal., 2014)

Predicting the yield curve using forecast combinations. - João Frois Caldeira; Guilherme V. Moura; André Alves Portela Santos (Comput. Stat. Data Anal., 2016)

The Brazilian scientific output published in journals: A study based on a large CV database. - Marcelo S. Perlin; André Alves Portela Santos; Takeyoshi Imasato; Denis Borenstein; Sergio Da Silva (J. Informetrics, 2017)

Lotka's law for the Brazilian scientific output published in journals. - Sergio Da Silva; Marcelo Perlin; Raul Matsushita; André Alves Portela Santos; Takeyoshi Imasato; Denis Borenstein (J. Inf. Sci., 2019)

Novel hybrid model based on echo state neural network applied to the prediction of stock price return volatility. - Gabriel Trierweiler Ribeiro; André Alves Portela Santos; Viviana Cocco Mariani; Leandro dos Santos Coelho (Expert Syst. Appl., 2021)

Deep reinforcement learning applied to a sparse-reward trading environment with intraday data. - Lucas de Azevedo Takara; André Alves Portela Santos; Viviana Cocco Mariani; Leandro dos Santos Coelho (Expert Syst. Appl., 2024)