Deep learning techniques are being increasingly used in the scientific community as a consequence of the high computational capacity of current systems and the increase in the amount of data available as a result of the ...

More than half of patients with high spinal cord injury (SCI) suffer from episodes of autonomic dysreflexia (AD), a condition that can lead to lethal situations, such as cerebral haemorrhage, if not treated correctly. ...

Intrusion detection systems are evolving into sophisticated systems that perform data analysis while searching for anomalies in their environment. The development of deep learning technologies paved the way to build more ...

Sign Languages (SLs) are employed by deaf and hard-of-hearing (DHH) people to communicate on a daily basis. However, the communication with hearing people still faces some barriers, mainly because of the scarce knowledge ...

Kernel density estimation (KDE) is a statistical technique used to estimate the probability density function of a sample set with unknown density function. It is considered a fundamental data-smoothing problem for use with ...

Computer systems need to have sufficient ability and intelligence to communicate with people. To this end, they have to be able to interpret or to manage certain types of information that people are used to perceiving ...

[ES]En los últimos años, la baja participación de la mujer y la tendencia al descenso de los porcentajes de alumnas matriculadas en los estudios universitarios de informática ha sido objeto de estudio para investigadoras/es ...

The aim of this research is to study how games and game development can help students learn introductory concepts of a very abstract topic such as Computer Architecture. In a quasi-experimental scenario, quantitative ...

The search for experimental models mimicking an early stage of Parkinson's disease (PD) before motor manifestations is fundamental in order to explore early signs and get a better prognosis. Interestingly, our previous ...

In this paper, a new supervised classification paradigm, called classifier subset selection for stacked generalization (CSS stacking), is presented to deal with speech emotion recognition. The new approach consists of an ...