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A new approach to data differential privacy based on regression models under heteroscedasticity with applications to machine learning repository data
ArticleAbstract: Generation of massive data in the digital age leads to possible violations of individual privacy. ThPalabras claves:anonymity, Confidentiality, Data breach and fitting, Linear and logistic regressions, Monte carlo simulation, Perturbations of data, Statistical consistency and modelingAutores:Carlos Martin-Barreiro, Leiva V., Manchini C., Ospina R.Fuentes:googlescopusA new approach to pbkp_redicting cryptocurrency returns based on the gold prices with support vector machines during the COVID-19 pandemic using sensor-related data
ArticleAbstract: In a real-world situation produced under COVID-19 scenarios, pbkp_redicting cryptocurrency returns aPalabras claves:Artificial Intelligence, data science, Digital currency, GOLD, Machine learning, SARS-COV-2, Sensing and data extractionAutores:Carlos Martin-Barreiro, Leiva V., Mahdi E., Mara’beh S.Fuentes:googlescopusWeibull Regression and Machine Learning Survival Models: Methodology, Comparison, and Application to Biomedical Data Related to Cardiac Surgery
ArticleAbstract: In this article, we propose a comparative study between two models that can be used by researchers fPalabras claves:binary trees, Harrell index, model diagnostics, non-normal regression, random forest, statistical software, survival statistical analysis, variable importance, Weibull modelAutores:Carlos Martin-Barreiro, Cavalcante T., Leiva V., Ospina R., Xavier CabezasFuentes:googlescopus