BENÍTEZ PEÑA , Sandra

En los últimos años, la ciencia de los datos se ha convertido en una herramienta muy importante para tratar datos, así como para descubrir patrones y generar información útil en la toma de decisiones. Una de las tareas más importantes de la ciencia de los datos es la clasificación supervisada, la cual se ha aplicado de forma exitosa en muchas...

Universidad de Sevilla. Grado en Matemáticas

The objective of this PhD dissertation is the development of new models for Supervised Classification and Benchmarking, making use of Mathematical Optimization and Statistical tools. Particularly, we address the fusion of instruments from both disciplines, with the aim of extracting knowledge from data. In such a way, we obtain...

Since the seminal paper by Bates and Granger in 1969, a vast number of ensemble methods that combine different base regressors to generate a unique one have been proposed in the literature. The so-obtained regressor method may have better accuracy than its components, but at the same time it may overfit, it may be distorted by base regressors...

Feature Selection (FS) is a crucial procedure in Data Science tasks such as Classification, since it identifies the relevant variables, making thus the classification procedures more interpretable and more effective by reducing noise and data overfit. The relevance of features in a classification procedure is linked to the fact that...

Support vector machine (SVM) is a powerful tool in binary classification, known to attain excellent misclassification rates. On the other hand, many realworld classification problems, such as those found in medical diagnosis, churn or fraud prediction, involve misclassification costs which may be different in the different classes. However, it...

Since the seminal paper by Bates and Granger in 1969, a vast number of ensemble methods that combine different base regressors to generate a unique one have been proposed in the literature. The so-obtained regressor method may have better accuracy than its components, but at the same time it may overfit, it may be distorted by base regressors...

The objective of this study was to characterize the pharmacokinetics of colistin methanesulphonate (CMS) and colistin in critically ill patients following the administration of a 4.5 MU CMS loading dose follow by 3MU CMS Q8. A population PK model and Monte Carlo simulation were used to calculate the probability of target attainment (PTA)...