We introduce an ecosystem for players of RLGame, a prototype strategy board game. Human and machine players in this ecosystem can pick their opponents or form teams and play against other teams or players. We present the key features of the ecosystem ...

The widespread use of Social Media creates great opportunities for businesses to take advantage of. By combining clever techniques, companies can develop powerful data analysis systems to understand their customers. This paper presents a real time ...

Educational data mining (EDM) is an important research area that implements and develops methods and statistical techniques for discovering new insights in order to improve the performance of the education system. Collecting and analyzing data makes it ...

We propose a new functional form for deriving an aggregate score from a possibly unbounded or unknown number of inputs expressing supporting evidence along with quantified confidence on that evidence. The evidence indicators should be considered ...

A dot matrix approach for sequence alignment is combined with a known quantum multi-pattern recognition method in order to improve the problem of sequence alignment. This dot matrix technique allows the application of some quantum computing principles ...

Visual analytics establish a comprehensive approach to handling the exponential growth of healthcare data and promise to offer innovative approaches to the understanding of health parameters and their important interrelations. Primary Sjögren's Syndrome ...

Prediction of severe exacerbation triggered by uncontrolled asthma is highly important for patients suffering of asthma, as avoiding maleficent symptoms that could need special treatment or even hospitalization, can protect patients from the ...

Given the fact that our biological existence is rooted in a complex system within our cells with thousands of interactions among genes and metabolites, research community in biological and medical fields have shifted their interest to network-based ...

This paper presents work on detecting and tracking human movement in planar range data. Our method stacks multiple planar scans into a 3D frame where time serves as the third dimension. This representation simultaneously informs about the size and shape ...

Suicide has been considered as an important public health issue for a very long time, and is one of the main causes of death worldwide. Despite suicide prevention strategies being applied, the rate of suicide has not changed substantially over the past ...

Resource Leveling is a constrained problem with a large solution space, especially when the projects have numerous tasks. This makes the problem hard to tackle. In this study, a novel algorithm named sonar inspired optimization (SIO) belonging in Nature ...