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Improving SVM classification on imbalanced datasets by introducing a new bias.
(Springer US, 2017)
Support Vector Machine (SVM) learning from imbalanced datasets, as well as most learning machines, can show poor performance on the minority class because SVMs were designed to induce a model based on the overall error. ...
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Impuestos moderados, según Ibn Jaldún
(2012)
Ibn Jaldún foi um dos primeiros expoentes (século XIV) do liberalismo económico que teve uma concepção materialista da história. Assim se explica que mencione instituições do âmbito da economia e exponha o seu pensamento ...
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A Novel Approach to Trojan Horse Detection in Mobile Phones Messaging and Bluetooth Services
(Korean Society for Internet Information, 2011)
A method to detect Trojan horses in messaging and Bluetooth in mobile phones by means of monitoring the events produced by the infections is presented in this paper. The structure of the detection approach is split into ...
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Some commentaries on confidence intervals of the mean in a Normal population
(Sociedad Española de Estadística e Investigación Operativa, 2010)
In this paper, a study on the length of confidence intervals of the mean in a Normal population when the variance is either known or unknown is carried out. It is also proved that ignoring the population variance ...
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Artículo
Generative adversarial networks for anonymized healthcare of lung cancer patients
(MDPI, 2021)
The digital twin in health care is the dynamic digital representation of the patient’s anatomy and physiology through computational models which are continuously updated from clinical data. Furthermore, used in combination ...
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Artículo