Cancer is not just a disease; it is a set of diseases. Breast cancer is the second most common cancer worldwide after lung cancer, and it represents the most frequent cause of cancer death in women (Thurtle et al. in: PLoS ...

The aim of this paper is to compile dictionaries of slang words, abbreviations, contractions, and emoticons to help the pre-processing of texts published in social networks. The use of these dictionaries is intended to ...

Traffic accidents represent a never-ending tragedy, and according to the World Health Organization (2018), 1.33 million people die in the world every year [1]. Most efforts in modeling phenomena of a dynamic nature have ...

Since virtual courses are asynchronous and non-presential environments, the following of student tasks can be a hard work. Virtual Education and Learning Environments (VELE) often provide tools for this purpose (Zaharia ...

This paper deals with the scheduling of parallel works in a two-stage hierarchical grid. In this configuration, one of the great challenges is to assign the tasks in order to allow an efficient use of resources, while ...

The present work is framed within the study of advertising evasion online and particularly in social networks. Social networks are a growing phenomenon, where users spend most of their time online and where companies are ...

One of the main problems faced by manufacturing companies in the production sequencing, also called scheduling, which consists of identifying the best way to order the production program on the machines for improving ...

The aim of this paper is to compile dictionaries of slang words, abbreviations, contractions and emoticons to help the preprocessing of texts published in social networks. The use of these dictionaries is intended to improve ...

Agriculture plays an important role in Latin American countries where the demand for provisions to reduce hunger and poverty represents a significant priority in order to improve the development and quality of life in the ...

Sentiment analysis is a text classification task within the area of natural language processing whose objective is to detect the polarity (positive, negative or neutral) of an opinion given by a certain user. Knowing the ...