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Conference Object(6)
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Lecture Notes in Networks and Systems(3)
ACM International Conference Proceeding Series(1)
Advances in Intelligent Systems and Computing(1)
Proceedings - 2019 International Conference on Information Systems and Software Technologies, ICI2ST 2019(1)
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Programación informática, programas, datos, seguridad(3)
Economía financiera(2)
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scopus(6)
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:scopusA DNN approach to improving the short-term investment criteria for S&P500 index stock market
Conference ObjectAbstract: The investment decision criteria for the S&P500 Index stock market have been a challenge because thePalabras claves:Deep learning neural network, forecasting, S&P500 index, stock marketAutores:Carlos Montenegro, Marco MolinaFuentes:scopusDeep learning - Based models for drug-drug interactions extraction in the current biomedical literature
Conference ObjectAbstract: Drug-Drug interactions (DDI) constitute important and useful information for medical staff and patiePalabras claves:Coexisting deseases, Data Mining, deep learning, Drug drug interactions, Medical prescriptionAutores:Carlos Montenegro, Cristina Jimenez, Marco MolinaFuentes: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:scopusUsing Deep Neural Networks for Stock Market Data Forecasting: An Effectiveness Comparative Study
Conference ObjectAbstract: Stock market value forecasting has been a challenge, because data are massive, complex, non-linear aPalabras claves:deep learning, forecasting, Neural networks, S&P500 index, stock marketAutores:Carlos Montenegro, Marco MolinaFuentes:scopus