David Ruano Ordás

University of Santiago de Compostela | USC · Department of Computers and Electronics

La nueva era de la tecnología y el conocimiento demanda nuevas aptitudes en los profesionales que la enseñanza tradicional no es capaz de desarrollar adecuadamente. Con el fin de mitigar esta problemática, en este trabajo se expone LingüísTIC, una propuesta docente basada en la gamificación, que permite la adquisición de las habilidades y competenc...

De las múltiples posibilidades de aplicación de la robótica al ámbito educativo, la que se presenta en este trabajo responde a una propuesta colaborativa centrada en el denominado Tratamiento Integrado de Lenguas (TIL), que persigue el objetivo de fortalecer las competencias comunicativas y computacionales del estudiantado universitario, concretame...

This study addresses the usage of different features to complement synset-based and bag-of-words representations of texts in the context of using classical ML approaches for spam filtering (Ferrara, 2019). Despite the existence of a large number of complementary features, in order to improve the applicability of this study, we have selected only th...

Current research has evolved in such a way scientists must not only adequately describe the algorithms they introduce and the results of their application, but also ensure the possibility of reproducing the results and comparing them with those obtained through other approximations. In this context, public data sets (sometimes shared through reposi...

Ontology-learning methods were introduced in the knowledge engineering area to automatically build ontologies from natural language texts related to a domain. Despite the initial appeal of these methods, automatically generated ontologies may have errors, inconsistencies, and a poor design quality, all of which must be manually fixed, in order to m...

The last several years have seen the emergence of data mining and its transformation into a powerful tool that adds value to business and research. Data mining makes it possible to explore and find unseen connections between variables and facts observed in different domains, helping us to better understand reality. The programming methods and frame...

During the last years, big data analysis has become a popular means of taking advantage of multiple (initially valueless) sources to find relevant knowledge about real domains. However, a large number of big data sources provide textual unstructured data. A proper analysis requires tools able to adequately combine big data and text-analysing techni...

Abstract Drugs have become an essential part of our lives due to their ability to improve people’s health and quality of life. However, for many diseases, approved drugs are not yet available or existing drugs have undesirable side effects, making the pharmaceutical industry strive to discover new drugs and active compounds. The development of drug...

The Internet of Things (IoT) introduced the opportunity of remotely manipulating home appliances (such as heating systems, ovens, blinds, etc.) using computers and mobile devices. This idea fascinated people and originated a boom of IoT devices together with an increasing demand that was difficult to support. Many manufacturers quickly created hund...

The Internet emerged as a powerful infrastructure for the worldwide communication and interaction of people. Some unethical uses of this technology (for instance spam or viruses) generated challenges in the development of mechanisms to guarantee an affordable and secure experience concerning its usage. This study deals with the massive delivery of...

Machine learning methods have become an indispensable tool for utilizing large knowledge and data repositories in science and technology. In the context of the pharmaceutical domain, the amount of acquired knowledge about the design and synthesis of pharmaceutical agents and bioactive molecules (drugs) is enormous. The primary challenge for automat...

One of the most relevant problems affecting the efficient use of e-mail to communicate worldwide is the spam phenomenon. Spamming involves flooding Internet with undesired messages aimed to promote illegal or low value products and services. Beyond the existence of different well-known machine learning techniques, collaborative schemes and other co...

This paper presents a 4-objective evolutionary multiobjective optimization study for optimizing the error rates (false positives, false negatives), reliability, and complexity of binary classifiers. The example taken is the email anti-spam filtering problem.

In this work we present the design and implementation of WARCProcessor, a novel multiplatform integrative tool aimed to build scientific datasets to facilitate experimentation in web spam research. The developed application allows the user to specify multiple criteria that change the way in which new corpora are generated whilst reducing the number...

Internet e-mail service emerged in the late seventies to implement fast message exchanging through computer networks. Network users immediately discovered the value of this service (sometimes for improper purposes such as spamming). As e-mail became indispensable to increase personal productivity, the volume of spam deliveries was constantly growin...

Background: Unbalanced data is a well-known and common problem in many practical applications of machine learning, having remarkable effects on the performance of standard classifiers. Taking into account the enormous growth of biomedical literature publicly available over Internet, one relevant task for the biomedical community is the automatic cl...

This paper presents an evolutionary multi-objective optimization problem formulation for the anti-spam filtering problem, addressing both the classification quality criteria (False Positive and False Negative error rates) and email messages classification time (minimization). This approach is compared to single objective problem formulations found...

Nowadays, spam deliveries represent a major problem to benefit from the wide range of Internet-based communication forms. Despite the existence of different well-known intelligent techniques for fighting spam, only some specific implementations of Naïve Bayes algorithm are finally used in real environments for performance reasons. As long as some o...

Over the last years, research on web spam filtering has gained interest from both academia and industry. In this context, although there are a good number of successful antispam techniques available (i.e., content-based, link-based, and hiding), an adequate combination of different algorithms supported by an advanced web spam filtering platform wou...

En los últimos años, se ha extendido y popularizado la combinación de distintas técnicas de filtrado para el desarrollo de sistemas anti-spam eficaces. No obstante, aunque la precisión lograda por estos modelos ha aumentado considerablemente, su utilización ha conllevado la aparición de nuevos retos como la necesidad de reducir el excesivo uso de l...

Abstract Over the last years, Internet spam content has spread enormously inside web sites mainly due to the emergence of new web technologies oriented towards the online sharing of resources and information. In such a situation, both academia and industry have shown their concern to accurately detect and effectively control web spam, resulting in...

This paper introduces RuleSIM, a toolkit comprising different simulation tools specifically designed to aid researchers concerned about spam-filtering throughput. RuleSIM allows easily designing, developing, simulating and comparing new scheduling heuristics using different filters and sets of e-mails. Simulation results can be both graphically ana...

The large increase of spam deliveries since the first half of 2013 entailed hard to solve troubles in spam filters. In order to adequately fight spam, the throughput of spam filtering platforms should be necessarily increased. In this context, and taking into consideration the widespread utilization of rule-based filtering frameworks in the spam fi...

In order to alleviate the massive increment of spam deliveries all over the world, spam-filtering service providers demand the development of new filtering schemes able to efficiently classify illegitimate content using less computational resources. As a consequence, several improvements have been introduced in rule-based filter platforms during th...

Web spam is a serious problem which nowadays continues to threaten search engines because the quality of their results can be severely degraded by the presence of illegitimate pages. With the aim of fighting against web spam, several works have been carried out trying to reduce the impact of spam content. Regardless of the type of developed approac...

Despite the enormous importance of e-mail to current worldwide communication, the increase of spam deliveries has had a significant adverse effect for all its users. In order to adequately fight spam, both the filtering industry and scientific community have developed and deployed the fastest and most accurate filtering techniques. However, the inc...

This paper introduces Wirebrush4SPAM, a plug-in-based C framework specifically designed for the devel-opment of fast spam filters by assembling different antispam schemes and techniques. Wirebrush4SPAM can be used to (i) build, execute and deploy simple spam filters and (ii) develop new techniques that can be easily combined and tested to achieve m...

This work is devoted to the problem of optimising scores for anti-spam filters, which is essential for the accuracy of any filter based anti-spam system, and is also one of the biggest challenges in this research area. In particular, this optimisation problem is considered from two different points of view: single and multiobjective problem formula...

Tragedy of Commons Theory introduced by Hardin (1968) revealed how shared and limited resources get completely depleted as effect of human behaviour. By analogy, common spamming activities can be properly modelled by this solid theory and, consequently, a young Internet Security Industry has recently emerged to fight against spam. However, the mass...

Nowadays, spam represents an extensive subset of the information delivered through Internet involving all unsolicited and disturbing communications received while using different services including e-mail, weblogs and forums. In this context, this paper reviews and brings together previous approaches and novel alternatives for applying rough set (R...

The huge amount of spam messages has limited the benefits introduced by e-mail communications. Therefore, spam filters are indispensable to fight against spam deliveries. However, the development of spam filters is very expensive whereas the usage of external filtering services can damage communications privacy. In such situation, we introduce an a...