This research aims to provide information about changes that may occur on the strategies declared solve oral production problems by future teachers of English as a foreign language in Primary Education according Nakatani's Inventory Oral Communication Strategies (2006). The participants are students Teaching, these belong University Granada (UGR), Malaga (UMA) and María Inmaculada de Antequera ...

Network anomaly detection is a very relevant research area nowadays, especially due to its multiple applications in the field of network security. The boost new models based on variational autoencoders and generative adversarial networks has motivated reevaluation traditional techniques for detection. It is, however, essential be able understand these from perspective experience attained years ...

If the stellar halos of disk galaxies are built up from the disruption of dwarf galaxies, models predict highly structured variations in the stellar populations within these halos. We test this prediction by studying the ratio of blue horizontal branch stars (BHB stars; more abundant in old, metal-poor populations) to main-sequence turn-off stars (MSTO stars; a feature of all populations) in th...

With the proliferation of recommendation functions (RF) on e-Commerce websites, there is growing confusion about how various RF types affect consumers’ beliefs and behavior. Despite the importance of understanding the differential effects of RF types, research focusing on the comparison between provider-generated recommendations (PGRs) and user-generated recommendations (UGRs) has received litt...

It is important to consider discomfort glare in designing comfortable office environment. Architectural Institute of Japan has set UGR and PGSV as design criteria for glare, but those indicators do not completely reflect the needs lighting environments due differences work behavior. For example, when performing a task that requires concentration, worker may prefer environment increase one's lev...

This work presents Reliable-NIDS (R-NIDS), a novel methodology for Machine Learning (ML) based Network Intrusion Detection Systems (NIDSs) that allows ML models to on integrated datasets, empowering the learning process with diverse information from different datasets. Therefore, R-NIDS targets design of more robust models, generalize better than traditional approaches. We also propose new data...

In this contribution, we propose an interactive multicriteria optimisation framework for the time and space assembly line balancing problem. The framework allows decision maker interaction by means of reference points to obtain the most interesting non-dominated solutions. The principal components of the framework are the g-dominance preference scheme and a state-of-the-art memetic multiobjecti...

*Correspondence: [email protected] 1Department of Computer Science and Artificial Intelligence, CITIC-UGR (Research Center on Information and Communications Technology), University of Granada, Calle Periodista Daniel Saucedo Aranda, 18071 Granada, Spain Full list of author information is available at the end of the article Abstract The large amounts of data have created a need for new fram...

0950-7051/$ see front matter 2012 Elsevier B.V. A http://dx.doi.org/10.1016/j.knosys.2012.03.010 ⇑ Corresponding author. Tel.: +34 868884613; fax: E-mail addresses: [email protected] (María del [email protected] (J.T. Fernández-Breis), dcastellanos@ugr [email protected] (F. Frutos-Morales), [email protected] Feedback is an important component of assessment in learning environments, because it constitutes a new ...