Paulo Renato A. Firmino

Aggregation of Time Series Forecasts via Cacoullos Copula

Tiago Alessandro Espínola Ferreira, Adriano Lorena Inácio de Oliveira, Ricardo T. A. de Oliveira, 2018, 2018 International Joint Conference on Neural Networks (IJCNN).

A Bayesian approach for calibrating probability judgments

Paulo Renato A. Firmino, Nielson A. Santana, P. Firmino, 2012 .

Copulas-based ensemble of Artificial Neural Networks for forecasting real world time series

Tiago Alessandro Espínola Ferreira, Adriano Lorena Inácio de Oliveira, Ricardo T. A. de Oliveira, 2016, 2016 International Joint Conference on Neural Networks (IJCNN).

A tool for evaluating repairable systems based on Generalized Renewal Processes

Paulo Renato A. Firmino, Cláudio Tadeu Cristino, Cícero Carlos Felix de Oliveira, 2019, Reliab. Eng. Syst. Saf..

Correcting and combining time series forecasters

Paulo S. G. de Mattos Neto, Tiago Alessandro Espínola Ferreira, Paulo Renato A. Firmino, 2014, Neural Networks.

Copulas-based time series combined forecasters

Tiago Alessandro Espínola Ferreira, Ricardo T. A. de Oliveira, Thaize Fernandes O. de Assis, 2017, Inf. Sci..

Error modeling approach to improve time series forecasters

Paulo S. G. de Mattos Neto, Tiago Alessandro Espínola Ferreira, Paulo Renato A. Firmino, 2015, Neurocomputing.

Studying the Performance of Cognitive Models in Time Series Forecasting

Tiago Alessandro Espínola Ferreira, Maria da Conceição Moraes Batista, Paulo Renato A. Firmino, 2020, RITA.

Combination of Biased Artificial Neural Network Forecasters

Tiago A. E. Ferreira, Paulo Renato A. Firmino, Paulo S. G. de Mattos Neto, 2013, 2013 BRICS Congress on Computational Intelligence and 11th Brazilian Congress on Computational Intelligence.

Neural-Based Ensembles for Particulate Matter Forecasting

Thiago Antonini Alves, Francisco Madeiro, Hugo Siqueira, 2021, IEEE Access.

Combining Time Series Forecasting Models via Gumbel-Hougaard Copulas

Tiago A. E. Ferreira, Paulo Renato A. Firmino, Thaize F. Oliveira, 2013, 2013 BRICS Congress on Computational Intelligence and 11th Brazilian Congress on Computational Intelligence.