Deep learning-based medical image analysis technology has been developed to the extent that it shows an accuracy surpassing ability of a human radiologist in some tasks. However, data labeling on images requires experts and great deal time expense. Moreover, usually have imbalanced distribution for each disease. In particular, multilabel classification, learning with small number labeled causes...

Nowadays, scientific, business and academic centers submit their large-scale applications (in term of computations or data) into grid environment to be performed. Resource management is important issue in such environment. Resource management divides in resource allocation and data management. Resource allocation refers to resource discovery and resource scheduling, while data management includ...

With recent developments in web technologies, percentage web content in Hindi is growing up at a lighting speed. This information can prove to be very useful for researchers, governments and organization to learn what’s on public mind, to make sound decisions. In this paper, we present a graph based wordnet expansion method to generate a full (adjective and adverb) subjective lexicon. We used s...

Semantic annotation is commonly recognized as one of the cornerstones of the semantic Web. In the context of Web services, semantic annotations can support effective and efficient discovery of services, and guide their composition into workflows. Because semantic annotation is a time consuming and expensive task, (semi-)automatic approaches for semantic annotation extraction are required. In th...

This paper introduces Czech subjectivity lexicon – the new lexical resource for sentiment analysis in Czech. The lexicon is a dictionary of 4947 evaluative items annotated with part of speech and tagged with positive or negative polarity. We describe the method for building the basic vocabulary and the criteria for its manual refinement. Also, we suggest possible enrichment of the fundamental l...

This paper presents a new resource, called Content Types Dataset, to promote the analysis of texts as a composition of units with specific semantic and functional roles. By developing this dataset, we also introduce a new NLP task for the automatic classification of Content Types. The annotation scheme and the dataset are described together with two sets of classification experiments.

This report about research in mathematics and Mathematics Education in the Republic of Srpska is a resource for the international academic society. In this paper we expose the capacity for research in mathematics and Mathematics Education and scientific competence of researches in the Republic of Srpska during 2012-2014, as an example. Mathematics Subject Classification (2010): 97A40, 97A50 Did...

This paper presents a semantically structured resource of more than 1,600 Name Classes. This structure is based on the noun hypernymy hierarchies in WordNet, expanded and validated by corpus evidence collected from the World Wide Web. The set of seed examples provided by WordNet is boostrapped and the used to automatically construct an annotated training corpus for each Name Class. The resultin...

Cloud Computing is a new era of remote computing / Internet based computing where one can access their personal resources easily from any computer through Internet. Cloud delivers computing as a utility as it is available to the cloud consumers on demand. It is a simple pay-per-use consumer-provider service model. It contains large number of shared resources. So Resource Management is always a ...