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-industrial collaboration with a software company. The collaboration is intended to suggest multiple code fragments to be changed simultaneously when a developer specifies a keyword such as variable names on source code. In the collaboration, we propose to use code clones and logical couplings information to reorder the code
Automatic image annotation is a promising solution to enable more effective image retrieval by keywords. Different statistical models and machine learning methods have been introduced for image auto-annotation. In this paper, we propose a collaborative approach, in which multiple different statistical models are
mismatch problem and match irrelevance problem and fail to generate highly related results. To overcome these problems, we propose a novel approach to recommend articles to the researchers. In our approach we integrate three types of similarity measures: keyword similarity, journal similarity, and author similarity to measure
' phrase in their title or keywords or abstracts and retrieve totally 4,579 publications. Spearman correlation rank test is used to examine the hypotheses. Analysis of collected data shows that publication's impact is significantly and positively associated with collaboration indicators based on authors' affiliations. However
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