Correcting and combining time series forecasters PRA Firmino, PSG de Mattos Neto, TAE Ferreira Neural Networks 50, 1-11, 2014 | 60 | 2014 |
Assessment of groundwater quality in a Brazilian semiarid basin using an integration of GIS, water quality index and multivariate statistical techniques MI Silva, AML Gonçalves, WA Lopes, MTV Lima, CTF Costa, M Paris, ... Journal of Hydrology 598, 126346, 2021 | 54 | 2021 |
Neural-based ensembles for particulate matter forecasting PSGDM Neto, PRA Firmino, H Siqueira, YDS Tadano, TA Alves, ... IEEE Access 9, 14470-14490, 2021 | 48 | 2021 |
Error modeling approach to improve time series forecasters PRA Firmino, PSG de Mattos Neto, TAE Ferreira Neurocomputing 153, 242-254, 2015 | 48 | 2015 |
Comparing SLIM, SPAR-H and Bayesian network methodologies E Calixto, GBA Lima, PRA Firmino Scientific Research Publishing, 2013 | 42 | 2013 |
Tecnologias Sociais de convivência com o Semiárido na região do Cariri cearense AB de Sousa, CTF da Costa, PRA Firmino, V de Souza Batista Cadernos de Ciência & Tecnologia 34 (2), 197-220, 2018 | 25 | 2018 |
A competing risk model for dependent and imperfect condition–based preventive and corrective maintenances M das Chagas Moura, EL Droguett, PRA Firmino, RJ Ferreira Proceedings of the Institution of Mechanical Engineers Part O: Journal of …, 2014 | 22 | 2014 |
Eliciting engineering judgments in human reliability assessment P Renato, A Firmino, EL Droguett, RCS Menezes, DC de Lemos Duarte RAMS'06. Annual Reliability and Maintainability Symposium, 2006., 512-519, 2006 | 22 | 2006 |
Redes Bayesianas para a parametrização da confiabilidade em sistemas complexos PRA FIRMINO Universidade Federal de Pernambuco, 2004 | 20 | 2004 |
Copulas-based time series combined forecasters RTA de Oliveira, TFO de Assis, PRA Firmino, TAE Ferreira Information Sciences 376, 110-124, 2017 | 19 | 2017 |
A mixed kijima model using the weibull-based generalized renewal processes RJ Ferreira, PRA Firmino, CT Cristino PloS one 10 (7), e0133772, 2015 | 18 | 2015 |
A non-central beta model to forecast and evaluate pandemics time series PRA Firmino, JP De Sales, JG Júnior, TA Da Silva Chaos, Solitons & Fractals 140, 110211, 2020 | 17 | 2020 |
Discriminating gamma-irradiated soybean seeds by 1H NMR-based metabonomics AS Ribeiro, LR Gouveia, CJP Barros, PRA Firmino, RO Silva Food control 36 (1), 266-272, 2014 | 14 | 2014 |
In the kernel of modelling repairable systems: a goodness of fit test for Weibull-based generalized renewal processes CCF de Oliveira, CT Cristino, PRA Firmino Journal of cleaner production 133, 358-367, 2016 | 12 | 2016 |
A temporal-window framework for modelling and forecasting time series PSG de Mattos Neto, GDC Cavalcanti, PRA Firmino, EG Silva, ... Knowledge-Based Systems 193, 105476, 2020 | 10 | 2020 |
Função, práticas e posições sexuais de mulheres grávidas EV Pereira, JM Belém, MJH Alves, ER Maia, PRA Firmino, GS Quirino Rev. enferm. UFPE on line, 772-780, 2018 | 8 | 2018 |
Copulas-based ensemble of artificial neural networks for forecasting real world time series RTA de Oliveira, TFO de Assis, PRA Firmino, TAE Ferreira, ALI Oliveira 2016 International Joint Conference on Neural Networks (IJCNN), 4089-4096, 2016 | 7 | 2016 |
An expert opinion elicitation method based on binary search and Bayesian intervals PRA Firmino, EL Droguett International Journal of Risk Assessment and Management 18 (3-4), 336-362, 2015 | 7 | 2015 |
Combining time series forecasting models via gumbel-hougaard copulas RTA de Oliveira, TF Oliveira, PRA Firmino, TAE Ferreira 2013 BRICS Congress on Computational Intelligence and 11th Brazilian …, 2013 | 7 | 2013 |
Groundwater quality assessment in a peri-urban Brazilian semi-arid microbasin MI Da Silva, MTV Lima, CTF Da Costa, PRA Firmino, JMC Menezes, ... Environmental Earth Sciences 82 (3), 73, 2023 | 6 | 2023 |