Engineering Applications of Artificial Intelligence

Social recommendation techniques have been developed to employ user's social connections for both rating prediction and Top-N recommendation. However, they are mostly using social network enhanced matrix factorization (MF) where the objective is to ...

Over the last few years, one major research direction of information retrieval includes user behaviour prediction. For that reason many models have been proposed aiming at the accurate evaluation of information retrieval systems and the best prediction ...

As the popularity of micro-blogging sites, expressed as the number of active users and volume of online activities, increases, the difficulty of deciding who to follow also increases. Such decision might not depend on a unique factor as users usually ...

On daily basis, millions of Twitter accounts post a vast number of tweets including numerous Twitter entities (mentions, replies, hashtags, photos, URLs). Many of these entities are used in common by many accounts. The more common entities are found in ...

The present work describes a classification schema for irony detection in Greek political tweets. Our hypothesis states that humorous political tweets could predict actual election results. The irony detection concept is based on subjective perceptions, ...

Recently, various techniques have been applied to classify Single Nucleotide Polymorphisms (SNP) data as they have been shown to be implicated in various human diseases. One of the major problems related to SNP sets is the large p, small n problem which ...

Multimedia content sharing within social networks has become one of the most interesting and trending research fields over the last few years. This undoubted emerge of related research works is rather twofold, namely it includes both the analysis and ...

Nowadays, early detection of users' interaction outbreaks is one of the most challenging problem in Human-Computer Interaction research. In this paper a new stochastic differential model for outbreaks detection of an arbitrary time series is proposed. ...

This paper addresses the inspection and evaluation of design reuse in the conceptual schema of CMS-based Web applications in order to improve their design quality. We have utilized WebML as the design platform of our approach and we capture design reuse ...

A degenerate symbol x over an alphabet Σ is a non-empty subset of Σ, and a sequence of such symbols is a degenerate string. A degenerate string is said to be conservative if its number of non-solid symbols is upper-bounded by a fixed positive constant ...

The emergence of semantically enriched data sets along with the elegant way they are interconnected through the concept of Linked Data has drawn the attention of various scientific branches. The volume and the quality of information that lie inside the ...

Affective computing researchers adopt a variety of methods in analysing or synthesizing aspects of human behaviour. The choice of method depends on which behavioural cues are considered salient or straightforward to capture and comprehend, as well as ...

The behavior of users over the web is one of the most relevant and research topic nowadays. Not only mining the user's behavior in order to provide better content is popular, but the prediction of the user's behavior is interesting and can increase user ...

Clickthrough data from image search engines provide a massive and continuously generated source of user feedback that can be used to model how the search engine users perceive the visual content. Image clickthrough data have been successfully used to ...

In this paper, a kernel choice method is proposed for domain adaption, referred to as Optimal Kernel Choice Domain Adaption (OKCDA). It learns a robust classier and parameters associated with Multiple Kernel Learning side by side. Domain adaption kernel-...

The focus of this research is to develop a classifier using an artificial immune system (AIS) combined with population-based incremental learning (PBIL) and collaborative filtering (CF) for network intrusion detection. AIS is a powerful tool in terms of ...

Maintaining and enhancing engagement of patients during stroke rehabilitation exercises are in the focus of current research. There have been various methods and computer supported tools developed for this purpose, which try to avoid mundane exercising ...

Emotions constitute a key factor in human nature and behavior. The most common way for people to express their opinions, thoughts and communicate with each other is via written text. In this paper, we present a sentiment analysis system for automatic ...

Nowadays, the World Wide Web is growing at increasing rate and speed, and consequently the online available resources populating Internet represent a large source of knowledge for various business and research interests. For instance, over the past ...

Semantic technologies are rapidly changing the historical research. Over the last decades, an immense amount of new quantifiable data have been accumulated, and made available in interchangeable formats, in social sciences and humanities, opening up new ...

This paper proposes a general framework for automatic core domain ontology generation from LMF (ISO 24613) standardized dictionaries. The originality of this work lies not only in the use of a unique and finely structured source containing multi-domain ...