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Advances in Intelligent Systems and Computing(10)
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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:scopusAn experience selecting quality features of apps for people with disabilities using abductive approach to explanatory theory generation
ArticleAbstract: This study determines one of the most relevant quality factors of apps for people with disabilitiesPalabras claves:Abduction, Apps quality, Computer Education, Data Mining, Data Mining and Machine Learning, Explanatory theory generation, Human-computer Interaction, People with Disabilities, social computingAutores:Andrés Larco, Carlos Montenegro, Cesar Yanez, Sergio Luján-MoraFuentes:scopusAn experience to improving IT development into developing country public sector organizations
Conference ObjectAbstract: Following a Design Science Research (DSR) approach, this study describes an experience of design andPalabras claves:cobit, DSR, ISO 20000, It governance, IT Management, Public SectorAutores:Andrés de la Torre, Carlos Montenegro, Milton Néjer, Miroslava Aracely ZapataFuentes:scopusAn integrated model for ICT Governance and Management applied to the Council for Evaluation, Accbkp_reditation and Quality Assurance of Higher Education Institutions in Ecuador (CEAACES)
Conference ObjectAbstract: As an effect of the modernization policy in the administrative processes inside the Ecuadorean CentrPalabras claves:cobit, Governance, ict, Iso, IT, management, Model, practices, StandardAutores:Carlos Montenegro, Denys A. FloresFuentes:scopusAnalyzing embedded semantic with JSON-LD and microdata for educational resources in large scale web datasets
Conference ObjectAbstract: The use of embedded markup for semantic web annotations has been fostered in the last years to produPalabras claves:educational resources, JSON-LD, Microdata, Schema.org, semantic webAutores:Carlos Montenegro, Lorena Recalde, Rosa Navarrete, Sergio Luján-MoraFuentes: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:scopusA Data Analytics Strategy to Identify mHealth Apps Quality Improvements. A Case Study
Conference ObjectAbstract: This study uses a dataset that comes from the employment of the Mobile App Rating Scale (MARS) modelPalabras claves:Genetic Algorithms, MARS, mHealth Apps, Principal ComponentsAutores:Andrés Larco, Carlos Montenegro, Cesar Yanez, Rolando ArmasFuentes:scopusCore Topics Discovery in Sustainable Supply Chain Literature: An Automatic Approach
Conference ObjectAbstract: The study of Sustainable Supply Chain (SSC) has evolved and expanded over the last two decades. ThisPalabras claves:Autores:Carlos Montenegro, Eddie Yanez, Edison Loza-Aguirre, Marco SeguraFuentes:googlescopusDSR Approach to Assessment and Reduction of Information Security Risk in TELCO
ArticleAbstract: Using the paradigm DSR, we design and evaluate an artifact of model type, useful for assessment andPalabras claves:COBIT 5, DSR, ETOM, information security risk, ISO 27011, TELCOAutores:Carlos Montenegro, Gallegos F., José Albuja, Murillo M.Fuentes: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:scopus