Community detection is a fundamental and important problem in network science, as community structures often reveal both topological functional relationships between different components of the complex system. In this paper, we first propose gradient descent framework modularity optimization called vector-label propagation algorithm (VLPA), where node associated with vector continuous labels in...

Encoder-decoder-based image captioning techniques are generally utilized to describe meaningful information present in an image. In this work, we investigate two unexplored ideas for using the transformer: 1) object-focused label attention module (LAM), and 2) a geometrically coherent proposal (GCP) that focuses on scale position of objects benefit transformer model by attaining better percepti...

The proliferation of smartphones exploits many new opportunities for mobile advertising. Many researchers believe that mobile advertising will be not only a killer application in mobile commerce, but also a noteworthy business model for many emerging mobile applications to monetize. Location based advertising (LBA) is a new advertising that integrates mobile advertising with location based serv...

Public health nurses in Ireland are charged with conducting a home visit to every postnatal mother within 48 hours of hospital discharge. This represents the beginning of a long-term relationship, not only with the mother and newborn child but also with the family. This article fundamentally demonstrates the essential work of the public health nurse in promoting the health of the baby within a ...

Ehrenwörtliche Versicherung Diese Dissertation wurde selbständig, ohne unerlaubte Hilfe erarbeitet. III Für meine Frau, meine Tochter, und meine ganze Familie. This thesis founds on the following manuscripts, which are referred to as Moik et al. 2011a or b, respectively. (2011). Loss of migfilin expression has no overt consequences on murine development and homeostasis, J Cell Sci124, 414-21. R...

Label propagation (LP) is a popular graph-based semi-supervised learning framework. Its effectiveness limited by the distribution of prior labels. If there are no objects with labels in parts classes, label has very poor performance. To address this issue, we propose based on bipartite graph (LPBBG) algorithm. This approach try to learn as exemplar constraints that reflect relations between and...

It is well-known that exploiting label correlations is important to multi-label learning. Existing approaches either assume that the label correlations are global and shared by all instances; or that the label correlations are local and shared only by a data subset. In fact, in the real-world applications, both cases may occur that some label correlations are globally applicable and some are sh...

HTML tables have become pervasive on the Web. Extracting their data automatically is difficult because finding relationships between cells not trivial due to many different layouts, encodings, and formats available. In this article, we introduce Melva, which an unsupervised domain-agnostic proposal extract from without requiring any external knowledge bases. It relies a clustering approach that...

In relationships characterised by current or previous intimate partner violence (IPV), stalking is a commonly occurring phenomenon. this study, we examined police-recorded in IPV episode reports across 1150 cases to (a) consider the overlap between and stalking, relevance of aggressor victim’s relationship phase defining stalking; (b) contribute empirical evidence about prevalence rates identif...