Violence against women and racism are extremely important issues that must be addressed with great care and seriousness. In this work, they will be presented together: the violent deaths of white and black women and their ...

This study aims to analyze the impact of the COVID-19 pandemic on unemployment rates, with a special focus on the gender gap. Using time series methods, we will focus our attention on understanding how the pandemic has ...

This work was motivated by the current technological scenario in which we live, where people are increasingly connected on social networks, generating a vast amount of data daily. If used appropriately, these data can ...

A named entity is a real-world object, such as a person (e.g. Alan Turing), a location (e.g. London), or an organization (e.g. UFSCar). Named Entity Recognition (NER) is a subarea of Natural Language Processing (NLP) whose ...

The quantity and complexity of generated data due to advances in genetic sequencing technologies has made statistical analysis an essential tool for their correct study and interpretation. However, there is still no agreement ...

Context trees are models that parsimoniously generalize Markovian models. These models were introduced by Jorma Rissanen in 1983, as an efficient tool in Information Theory. Since then, these models have been widely used ...

With the advancement of digital marketing and the rise of new paid media channels for running campaigns and ads aimed at selling products, many advertisers question the use of media that do not directly lead to conversions, ...

Increasingly larger and more complex databases can be easily obtained and appropriate technologies for modeling massive amounts of data become increasingly necessary in order to optimize results and predictions. Machine ...