Of late, social tagging has become popular trend in information organisation. In context of digital resources the tags assigned by users also play vital role in information retrieval. For information discovery the ‘terms’ used to retrieve the results also depend upon the ‘relevancy’ or ‘weightage’ of the keywords. This study investigates ‘relevancy ranking’ of terms used in the full text of the...

Value sets (VSs) used in electronic clinical quality measures are lists of codes from standard terminologies ("extensional" VSs), whose purpose ("intension") is not always explicitly stated. We elicited the intension for the 09/01/2014 release of extensional medication value sets by comparison to drug classes from the October 2014 release of RxClass. Value sets matched drug classes if they shar...

We present a deep convolutional neural network application based on autoencoders aimed at segmentation of increased signal regions in fluid-attenuated inversion recovery magnetic resonance imaging images. The convolutional autoencoders were trained on the publicly available Brain Tumor Image Segmentation Benchmark (BRATS) data set, and the accuracy was evaluated on a data set where 3 expert seg...

Clustering and ordination procedures in multivariate analyses have been widely used to describe patterns of genetic distances. However, in some cases, such as when dealing with Jaccard coefficients based on RAPD data, these techniques may fail to represent genetic distances because of the high dimensionality of the genetic distances caused by stochastic variation in DNA fragments among the unit...

In the first part of this paper we define the n-overlap vector whose coordinates consist of the fraction of the objects (e.g. books, N-grams,...) that belong to 1, 2,..., n sets (more generally: families) (e.g. libraries, databases,...). With the aid of the Lorenz concentration theory we build a theory of n-overlap similarity and corresponding measures, such as the generalized Jaccard index (ge...

Dermoscopy image detection stays a tough task due to the weak distinguishable property of the object.Although the deep convolution neural network signifigantly boosted the performance on prevelance computer vision tasks in recent years,there remains a room to explore more robust and precise models to the problem of low contrast image segmentation.Towards the challenge of Lesion Segmentation in ...

We present an item-based approach for collaborative filtering. We determine a list of recommended items for a user by considering their previous purchases. Additionally other features of the users could be considered such as page views, search queries, etc. . . In particular we address the problem of efficiently comparing items. Our algorithm can efficiently approximate an estimate of the simil...

This work investigates lexical organizat ion of verbs looking at the influence of some linguistic factors on the process of lexical acquisition and use. Among the factors that may play a role in acquisition, in this paper we investigate the influence of polysemy. We examine data obtained from psycholinguistic action naming tasks performed by children and adults (speakers of Brazilian Portuguese...