Neuroimaging, in particular magnetic resonance imaging (MRI), has been playing an
important role in understanding brain functionalities and its disorders during the last couple …

The aim of this study is to provide an overview the state-of-the-art elements of text
classification. For this purpose, we first select and investigate the primary and recent studies …

The area under the receiver operating characteristic (ROC) curve (AUC) is commonly used
for assessing the discriminative ability of prediction models even though the measure is …

Перед вами один из самых интересных учебников по машинному обучению–разделу
искусственного интеллекта, изучающего методы построения моделей, способных …

Precision-Recall analysis abounds in applications of binary classification where true
negatives do not add value and hence should not affect assessment of the classifier's …

As one of the most comprehensive machine learning texts around, this book does justice to
the field's incredible richness, but without losing sight of the unifying principles. Peter Flach's …

This paper gives an overview of some ways in which our understanding of performance
evaluation measures for machine-learned classifiers has improved over the last twenty …

Today online networking has become an indispensable part of life for people all over the
world. It is difficult for users to reduce their internet/online communications, as the flow of …

Forest fires are one of the most common natural hazards that occur in the Western Ghats
region. There are many protected areas in this part of the Western Ghats; therefore, fire can …

Of the natural hazards in Turkey, landslides are the second most devastating in terms of
socio-economic losses, with the majority of landslides occurring in the Eastern Black Sea …