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Conference Object(3)
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2022(3)
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scopus(3)
Augmented Data Deep Learning Model to Pbkp_rediction of S&P500 Index: A Case Study Including Data of COVID-19 Period
Conference ObjectAbstract: The forecasting of the financial markets, as the SP500 Index, is an arduous task because their dataPalabras claves:Augmented data, covid-19, DNN, forecasting, S&P500Autores:Carlos Montenegro, Rolando ArmasFuentes:scopusCan the Price of BTC Bitcoin Be Forecast Successfully with NARX Neural Networks?
Conference ObjectAbstract: The cryptocurrency market data is highly noisy and nonlinear and conditioning the effectiveness andPalabras claves:Bitcoin, forecasting, NARX neural networksAutores:Carlos Montenegro, Rolando ArmasFuentes:scopusIdentifying Key Quality Features of mHealth Applications: Unsupervised Feature Selection Approach: MARS Case Study
Conference ObjectAbstract: In this work, the influential features to improve mHealth apps quality are identified, using a wrappPalabras claves:MARS, mHealths apps quality, Multi-objective evolutionary algorithms, Unsupervised feature selectionAutores:Andrés Larco, Carlos Montenegro, Cesar Yanez, Rolando ArmasFuentes:scopus