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

, , , , and . IJCNN, page 4089-4096. IEEE, (2016)

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Error modeling approach to improve time series forecasters., , and . Neurocomputing, (2015)A tool for evaluating repairable systems based on Generalized Renewal Processes., , and . Reliab. Eng. Syst. Saf., (2019)Correcting and combining time series forecasters., , and . Neural Networks, (2014)Copulas-based ensemble of Artificial Neural Networks for forecasting real world time series., , , , and . IJCNN, page 4089-4096. IEEE, (2016)Utilização de Modelos Cognitivos na Previsão de Séries Temporais., , , and . SBSI, page 88-95. (2017)Studying the Performance of Cognitive Models in Time Series Forecasting., , , and . RITA, 27 (1): 83-91 (2020)A temporal-window framework for modelling and forecasting time series., , , , and . Knowl. Based Syst., (2020)Copulas-based time series combined forecasters., , , and . Inf. Sci., (2017)Aggregation of Time Series Forecasts via Cacoullos Copula., , , , and . IJCNN, page 1-7. IEEE, (2018)Neural-Based Ensembles for Particulate Matter Forecasting., , , , , , , and . IEEE Access, (2021)