and the third study is described for the first time in this article. These studies reveal how users view the ranked results on a search engine results page (SERP), the relationship between the search result abstracts viewed and those clicked on, and whether gender, search task, or search engine influence these behaviors. In addition, we discuss a key challenge that arose in all three studies th...

In this paper we present a novel approach, called Concept Search, which extends syntactic search, i.e., search based on the computation of string similarity between words, with semantic search, i.e., search based on the computation of semantic relations between concepts. The key idea of Concept Search is to operate on complex concepts and to maximally exploit the semantic information available,...

A command-line tool and Python framework is proposed for the exploration of a new form of audio synthesis known as ‘concatenative synthesis’, a form of synthesis that uses perceptual audio analyses to arrange small segments of audio based on their characteristics. The tool is designed to synthesise representations of an input target sound using a source database of sounds. This involves the seg...

The model-driven engineering paradigm is a paradigm that combines the power of concepts and its relations, using abstracts models in order to offer suitable mechanisms for software development. In fact, software engineering community has applied MDE in different contexts of software engineering, getting suitable results. Despite these mechanisms, both global coordination and effective managemen...

The Min-Hashing approach to sketching has become an important tool in data analysis, search, and classi cation. To apply it to real-valued datasets, the ICWS algorithm has become a seminal approach that is widely used, and provides state-of-the-art performance for this problem space. However, ICWS su ers a computational burden as the sketch size K increases. We develop a new Simpli ed approach ...

We study a multiscale discontinuous Galerkin method introduced in [10] that reduces the computational complexity of the discontinuous Galerkin method, seemingly without adversely affecting the quality of results. For a stabilized variant we are able to obtain the same error estimates for the advection-diffusion equation as for the usual discontinuous Galerkin method. We assess the stability of ...

Evolutionary design of time series predictors is a field that has been explored for several years now. The levels of design vary in the many works reported in the field. We decided to perform a complete design and training of ARIMA models using Evolutionary Computation. This decision leads to high dimensional search spaces, whose size increases exponentially with dimensionality. In order to red...

We compare the performance of an intensity based nonparametric image registration algorithm and extensions applied to frame interpolation of mouth images. The mouth exhibits large deformations due to different shapes, additionally some facial features occlude others, e.g. the lips cover the teeth. The closures and disclosures represent a challenging problem, which cannot be solved by the tradit...

India gives utmost importance to alleviate malnourishment, health problems in order to reach low Infant Mortality Rate (IMR) & Maternal Mortality Rate (MMR) as indicated in Millennium Development Goals (MDGs) by 2015. Society for Elimination of Rural Poverty (SERP), Andhra Pradesh with the support of World Bank has brought a unique model namely Community Managed Nutrition cum Day Care Centres (...

The combination of multiple classifiers to generate a single classifier has been shown to be very useful in practice. Similarly, several efforts have shown that cluster ensembles can improve the quality of results as compared to a single clustering solution. These observations suggest that ensembles containing both classifiers and clusterers are potentially useful as well. Specifically, cluster...